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Prof. Mohamed Marzouk
Structural Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt

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Research Keywords & Expertise

0 Computer Simulation
0 Decision Analysis
0 Risk Analysis
0 Sustainability
0 BUILDING INFORMATION MODELING

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BUILDING INFORMATION MODELING
Computer Simulation
Sustainability
Risk Analysis
Decision Analysis

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Short Biography

Mohamed Marzouk is a Professor of Construction Engineering and Management at the Department of Structural Engineering, Faculty of Engineering, Cairo University. He received his BSc and MSc in Civil Engineering from Cairo University in 1995 and 1997, respectively. He received his PhD from Concordia University in 2002. His research interests include computer simulation, artificial intelligence, optimization of construction processes, fuzzy logic and its applications in construction, risk analysis, sustainability, building information modeling, and decision analysis.

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Journal article
Published: 15 August 2021 in Expert Systems with Applications
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Building facilities condition assessment is considered a fundamental aspect of an effective decision-making maintenance management plan to fulfill service requirements. A noticeable dearth of studies is believed to have delivered condition assessment approaches for existing buildings; however, these approaches are still deemed premature, with some limitations in demand enhancement. This paper presents a novel physical condition assessment framework for existing educational buildings that contribute to the body of knowledge by offering a state-of-the-art approach incorporating an Artificial Neural Network (ANN) predictive model and a Structural Equation Model (SEM). The ANN predictive model aims to forecast the future condition-rating states for each facility component in various building spaces. Simultaneously, the SEM determines the proportionate weights of building facilities components. The primary objectives of this paper are to prioritize building components for maintenance purposes and record the potential effects of several parameters influencing the condition state of building components. These objectives can be achieved via four sequential modules: 1) scan to BIM module; 2) condition assessment prediction module; 3) proportionate weight determination module; and 4) entire space rating value module. Condition-monitoring data on six different buildings' internal components are analyzed to anticipate their future condition. The components carried out are: 1) wooden flooring tiles; 2) gypsum board ceiling tiles; 3) wooden doors; 4) wooden windows, 5) split air conditioner units; and 6) desktop computers. The overall coefficient of determination (R2) of the developed ANN models for the predicted six components conditions are 0.99, 0.99, 0.927, 0.88, 0.97, and 0.972, respectively.

ACS Style

Ahmed Gouda Mohamed; Mohamed Marzouk. Building condition assessment using artificial neural network and structural equations. Expert Systems with Applications 2021, 115743 .

AMA Style

Ahmed Gouda Mohamed, Mohamed Marzouk. Building condition assessment using artificial neural network and structural equations. Expert Systems with Applications. 2021; ():115743.

Chicago/Turabian Style

Ahmed Gouda Mohamed; Mohamed Marzouk. 2021. "Building condition assessment using artificial neural network and structural equations." Expert Systems with Applications , no. : 115743.

Journal article
Published: 01 August 2021 in Journal of Construction Engineering and Management
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Building information modeling (BIM) is rapidly restructuring the construction industry, offering major enhancements in project outcomes. Although the emerging demands for BIM adoption are developing to become an industry norm, there are still uncertainties concerning the ability of the existing legal paradigm to fully incubate and promote BIM. Existing conventional construction contracts do not cope with the collaborative approach of BIM, causing potential contractual disputes to arise. These contractual disputes may become obstacles in the sufficient implementation of BIM and achieving anticipated productivity gains. This research aims to identify the provisions in the contract that should be addressed when BIM is utilized in the project. The research highlights the main contractual issues associated with BIM and explains the current treatment of BIM in contractual documents from standard forms of contracts and BIM protocols. The directed content analysis method is used to analyze three main standard forms of contracts that adopt BIM and have a different approach to drafting, covering multiparty agreement, partnering agreement, and standard biparty agreement. A comparative study is held between the contracts under investigation. The research presents and assesses the extent to which these standard forms of contracts deal with the contractual issues identified and accordingly the research proposes a drafting structure and framework for provisions that should be included in a BIM-based contract.

ACS Style

Mohamed A. Ragab; Mohamed Marzouk. BIM Adoption in Construction Contracts: Content Analysis Approach. Journal of Construction Engineering and Management 2021, 147, 04021094 .

AMA Style

Mohamed A. Ragab, Mohamed Marzouk. BIM Adoption in Construction Contracts: Content Analysis Approach. Journal of Construction Engineering and Management. 2021; 147 (8):04021094.

Chicago/Turabian Style

Mohamed A. Ragab; Mohamed Marzouk. 2021. "BIM Adoption in Construction Contracts: Content Analysis Approach." Journal of Construction Engineering and Management 147, no. 8: 04021094.

Journal article
Published: 24 July 2021 in Process Safety and Environmental Protection
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The World Health Organization has declared COVID-19 as a global pandemic in early 2020. A comprehensive understanding of the epidemiological characteristics of this virus is crucial to limit its spreading. Therefore, this research applies artificial intelligence-based models to predict the prevalence of the COVID-19 outbreak in Egypt. These models are long short-term memory network (LSTM), convolutional neural network, and multilayer perceptron neural network. They are trained and validated using the dataset records from 14 February 2020 to 15 August 2020. The results of the models are evaluated using the determination coefficient and root mean square error. The LSTM model exhibits the best performance in forecasting the cumulative infections for one week and one month ahead. Finally, the LSTM model with the optimal parameter values is applied to forecast the spread of this epidemic for one month ahead using the data from 14 February 2020 to 30 June 2021. The total size of infections, recoveries, and deaths is estimated to be 285,939, 234,747, and 17,251 cases on 31 July 2021. This study could assist the decision-makers in developing and monitoring policies to confront this disease.

ACS Style

Mohamed Marzouk; Nehal Elshaboury; Amr Abdel-Latif; Shimaa Azab. Deep learning model for forecasting COVID-19 outbreak in Egypt. Process Safety and Environmental Protection 2021, 153, 363 -375.

AMA Style

Mohamed Marzouk, Nehal Elshaboury, Amr Abdel-Latif, Shimaa Azab. Deep learning model for forecasting COVID-19 outbreak in Egypt. Process Safety and Environmental Protection. 2021; 153 ():363-375.

Chicago/Turabian Style

Mohamed Marzouk; Nehal Elshaboury; Amr Abdel-Latif; Shimaa Azab. 2021. "Deep learning model for forecasting COVID-19 outbreak in Egypt." Process Safety and Environmental Protection 153, no. : 363-375.

Journal article
Published: 14 July 2021 in Sustainability
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Existing buildings are characterized by the continuous change in the functional requirements of their end-users. As such, they are subjected to renovation or reconstruction, which is associated with total or partial demolition of the buildings, leading to an increase in construction and demolition waste. In addition, the materials abandoning the circular loop leave an adverse impact on the environment. This research integrates the building information modeling (BIM) approach and lean principles to ensure the early involvement of key participants in the decision-making process. This approach aids in planning the sequencing of deconstruction planning phases required before actual demolition activities take place. The paper presents the practical implementation of a BIM plug-in Tool. The assumptions and the scope based on which the plug-in was designed are briefly discussed. A case study for a mechanical, electrical, and plumbing (MEP) BIM model is introduced to illustrate the practical features of the proposed BIM plug-in Tool. The results encourage the selective dismantling of building elements based on the customers’ needs. Building information modeling capabilities in deconstruction planning were also investigated. The proposed tool aids in decreasing the uncertainties involved in demolition projects. The tool can be implemented on a national level to automate the deconstruction projects and optimize the extraction of salvaged building elements. The recovery option for such elements and their final destiny can be secured with sufficient time before their dismantling from their original locations.

ACS Style

Mohamed Marzouk; Ahmed Elmaraghy. Design for Deconstruction Using Integrated Lean Principles and BIM Approach. Sustainability 2021, 13, 7856 .

AMA Style

Mohamed Marzouk, Ahmed Elmaraghy. Design for Deconstruction Using Integrated Lean Principles and BIM Approach. Sustainability. 2021; 13 (14):7856.

Chicago/Turabian Style

Mohamed Marzouk; Ahmed Elmaraghy. 2021. "Design for Deconstruction Using Integrated Lean Principles and BIM Approach." Sustainability 13, no. 14: 7856.

Journal article
Published: 11 June 2021 in Journal of Advanced Research
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Adapted reuse in old historical buildings has been a real challenge since the state of deterioration is usually found severe, and suggested retrofitting is applied with high delicacy to preserve the building originality. Additionally, on altering the potential users’ activity, special considerations are required to fulfill the new needs. Daylight in historical buildings has a special significance in conceiving the massive artistic content within the interior spaces, in providing visual comfort for users, and affecting the total energy performance. The main goal is to meet the new daylight requirements in heritage building spaces, and to rely on relaxing daylight instead of artificial light sources during the day. The research is implemented in Tosson Palace, a historical palace in Egypt, where a top-lit space’s daylight performance is assessed using Rhino + Grasshopper’s Diva package, then the skylight is parametrically configured to optimize daylighting conditions using Radiance, and Daysim engines in high intensity solar climate. Optimization of skylight glazing technologies and skylight size is conducted by changing optimization parameters including the number the two perpendicular mullions grid, and mullions’ depth, which also acts as a shading element. These parameters are genetically optimized using a multi-objective octopus plugin and the optimized configuration is evaluated using LEED v4.1 in Spatial Daylight Autonomy (sDA), and Annual Sun Exposure (ASE) criteria that show both the daylight adequacy, and the comfortable daylight exposure percentages in the skylight covered space. The outcomes offer guidance for heritage adapted reuse in hot climatic conditions with minimum design interventions to meet the original design and provide potential users’ comfort conditions. Furthermore, enhancement of both visual, and thermal conditions through the skylight configurations is to be studied. The selected optimum case succeeded in compromising the assessing metrics such that ASE was reduced by 38% from the base-case, avoiding unpleasant direct daylight, and providing protection for interior artifacts from sunlight and achieving a moderate uniform daylight distribution on both affected floors levels.

ACS Style

Mohamed Marzouk; Maryam ElSharkawy; Ayman Mahmoud. Optimizing Daylight Utilization of Flat Skylights in Heritage Buildings. Journal of Advanced Research 2021, 1 .

AMA Style

Mohamed Marzouk, Maryam ElSharkawy, Ayman Mahmoud. Optimizing Daylight Utilization of Flat Skylights in Heritage Buildings. Journal of Advanced Research. 2021; ():1.

Chicago/Turabian Style

Mohamed Marzouk; Maryam ElSharkawy; Ayman Mahmoud. 2021. "Optimizing Daylight Utilization of Flat Skylights in Heritage Buildings." Journal of Advanced Research , no. : 1.

Earlycite article
Published: 09 June 2021 in Engineering, Construction and Architectural Management
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Purpose Mobile augmented reality (MAR) is one of the advanced three-dimensional (3D) representation tools that has been recently utilized in the construction industry. This paper aims to assess a user’s involvement levels through MAR application that has been experimented against traditional involvement techniques through an existing facility, plan re-designing scenario. Design/methodology/approach Through reviewing related literature studies in the MAR field, an application has been developed that can superimpose real design alternatives on paper-based markers, allowing for flexible wall positioning, interior and exterior wall material application. As such, an enhanced user involvement experience is created. To measure user involvement levels, the application is experimented with 33 participants having the British University in Egypt’s library building as a case study, followed by survey questionnaires to gather and evaluate user responses. Findings The results of the analyzed data using SPSS indicated that MAR showed a positive impact on enhancing user involvement and better understanding of design projects. It also allowed users to produce different design alternatives in comparison to the traditional involvement approaches where users showed low design interaction and understanding. Originality/value The interactive features of the proposed application facilitate implementing ideas in design of construction projects that require user involvement.

ACS Style

Bassam Shouman; Ayman Ahmed Ezzat Othman; Mohamed Marzouk. Enhancing users involvement in architectural design using mobile augmented reality. Engineering, Construction and Architectural Management 2021, ahead-of-p, 1 .

AMA Style

Bassam Shouman, Ayman Ahmed Ezzat Othman, Mohamed Marzouk. Enhancing users involvement in architectural design using mobile augmented reality. Engineering, Construction and Architectural Management. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Bassam Shouman; Ayman Ahmed Ezzat Othman; Mohamed Marzouk. 2021. "Enhancing users involvement in architectural design using mobile augmented reality." Engineering, Construction and Architectural Management ahead-of-p, no. ahead-of-p: 1.

Journal article
Published: 19 April 2021 in Cleaner Environmental Systems
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Prequalification of suppliers in the Construction Supply Chain is considered a crucial step to assure to their ability to deliver socially sustainable projects. This research identifies the most important social sustainability prequalification criteria for supplier selection in Construction Supply Chain. Additionally, a Multi-Criteria Decision Making (MCDM) model based on social indicators of sustainability is proposed in this research. Structured interviews were organized with experienced practitioners to define the relative importance weights of criteria that have collected in the first phase using Analytic Hierarchy Process (AHP). As such, the AHP is applied to develop mathematical determination to achieve the weights of social indicators. Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method is used to evaluate the different suppliers in the construction supply chain against 17 identified attributes. Ultimately, the closeness coefficients of the suppliers are estimated in order to identify social performance. The research aims at proposing a computational model of MCDM in order to introduce it to the construction organizations to utilize in the supplier prequalification process. A computational model is developed and a case study is worked out to illustrate the proposed methodology in supplier selection to ensure sustainable construction projects. Afterwards, the model is validated and a sensitivity analysis is conducted to analyze the impact of changing the weights of the considered attributes in the model outputs.

ACS Style

Mohamed Marzouk; Marwa Sabbah. AHP-TOPSIS social sustainability approach for selecting supplier in construction supply chain. Cleaner Environmental Systems 2021, 2, 100034 .

AMA Style

Mohamed Marzouk, Marwa Sabbah. AHP-TOPSIS social sustainability approach for selecting supplier in construction supply chain. Cleaner Environmental Systems. 2021; 2 ():100034.

Chicago/Turabian Style

Mohamed Marzouk; Marwa Sabbah. 2021. "AHP-TOPSIS social sustainability approach for selecting supplier in construction supply chain." Cleaner Environmental Systems 2, no. : 100034.

Journal article
Published: 25 February 2021 in Architectural Engineering and Design Management
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Many interventions were introduced using holistic concepts to scale building conformity with sustainability concepts, such as rating systems. Most rating systems efficiently tackled scoring each environmental impact solely at an instance of the building life cycle. However, interaction of different sustainability parameters over complete building life cycle is barely considered. This research presents an initial attempt towards using the behaviour of sustainability parameters over time as a tool for measuring and evaluating building sustainability. This work focuses on studying the interactions between sustainability parameters throughout building life cycle using system dynamics concept. The study's framework includes three main phases: 1) parameters selection, 2) modelling building life sustainability, and 3) policies evaluation. The study introduces Building Sustainability Level (BSL) as a key parameter for evaluation together with some additional Prevailing Parameters (PPs) such as water consumption. BSL provides good representation of expected building sustainability performance, which showed slight unstable behaviour due to initial adoption of sustainability concepts through early years followed by a dramatic growth then a rational rise through the rest of the building life. Moreover, behaviours associated with PPs indicated that most preservation actions impose steady impact through the building life with less sensitivity to change in its magnitude. The study indicates that sustainability parameters behaviours provide good grounds for measuring sustainability, mainly when giving special attention to parameters interaction rather than individual influence. In addition, the tool developed is capable of providing an indication for building future performance and investigating different interference scenarios.

ACS Style

Mostafa El Hawary; Mohamed Marzouk. Predicting buildings life cycle sustainability behaviour using system dynamics. Architectural Engineering and Design Management 2021, 1 -17.

AMA Style

Mostafa El Hawary, Mohamed Marzouk. Predicting buildings life cycle sustainability behaviour using system dynamics. Architectural Engineering and Design Management. 2021; ():1-17.

Chicago/Turabian Style

Mostafa El Hawary; Mohamed Marzouk. 2021. "Predicting buildings life cycle sustainability behaviour using system dynamics." Architectural Engineering and Design Management , no. : 1-17.

Journal article
Published: 01 February 2021 in Journal of Performance of Constructed Facilities
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Existing bridges are aging and deteriorating rapidly, elevating concerns for public safety and preservation of these valuable assets. Large numbers of bridges exist in transportation networks, and the current budget limitations worsen the situation. This necessitates the development of an automated condition assessment and rating methods. Spalling is a common problem that majorly influences the health, safety, and structural integrity of bridges. The present study introduces a self-adaptive three-tier method for the automated detection and assessment of spalling using computer-vision technologies. The first model introduces a newly-developed segmentation model that adopts a multiobjective invasive weed optimization and information theory-based formalism of images for spalled concrete detection. In the second model, an integration of singular value decomposition and discrete wavelet transform are integrated for the efficient feature extraction of information in images. Additionally, the Elman neural network is coupled with the invasive weed optimization algorithm to enhance the accuracy of the evaluation of spalling severities by amplifying the exploration-exploitation trade-off mechanism of the Elman neural network. The third model is developed for the purpose of structuring a rating system of spalling severity based on its area and depth. A computerized platform is developed using C#.net language to facilitate the implementation of the developed method by the users. The results demonstrated that the developed multiobjective spalling segmentation model is capable of improving detection accuracy of spalling by 12.29% with respect to the region growing algorithm. It was also inferred that the developed quantification model outperformed other prediction models, such that it achieved a mean absolute percentage error, root mean-squared error, and root mean squared percentage error of 4.07%, 76.061, and 0.065, respectively, based on the original dataset. In this regard, it is expected that the developed computer-vision-based method can aid in establishing cost-effective bridge condition assessment models by transportation agencies.

ACS Style

Eslam Mohammed Abdelkader; Osama Moselhi; Mohamed Marzouk; Tarek Zayed. Entropy-Based Automated Method for Detection and Assessment of Spalling Severities in Reinforced Concrete Bridges. Journal of Performance of Constructed Facilities 2021, 35, 04020132 .

AMA Style

Eslam Mohammed Abdelkader, Osama Moselhi, Mohamed Marzouk, Tarek Zayed. Entropy-Based Automated Method for Detection and Assessment of Spalling Severities in Reinforced Concrete Bridges. Journal of Performance of Constructed Facilities. 2021; 35 (1):04020132.

Chicago/Turabian Style

Eslam Mohammed Abdelkader; Osama Moselhi; Mohamed Marzouk; Tarek Zayed. 2021. "Entropy-Based Automated Method for Detection and Assessment of Spalling Severities in Reinforced Concrete Bridges." Journal of Performance of Constructed Facilities 35, no. 1: 04020132.

Journal article
Published: 01 January 2021 in Journal of Environmental Informatics
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Nowadays, the demand for sustainable buildings is increasing. The main purpose of buildings is to provide a comfort- able living environment for their occupants, considering different aspects including thermal, visual, and acoustic comfort as well as In- door Air Quality. Decreasing carbon footprint and energy consumption rates while increasing comfort level can help to achieve better living and working environment for building users. This research proposes a framework that aims at improving building system energy performance using building information modeling (BIM) during buildings’ design stage by evaluating different alternatives for install- ed building systems. According to experts’ opinions, evaluating buildings’ energy performance by analyzing the energy consumption rates alone without including economic and environmental factors is insufficient. Therefore, in this paper, building systems are evalu- ated using four main criteria; operating cost savings, total energy consumption per year, Lifecycle cost savings, and carbon emissions. A Multiple Criteria Decision-making (MCDM) technique is applied using Superiority and Inferiority Ranking (SIR) to study the behav- ior of different alternatives. Sensitivity analysis is performed to detect the criticality and effectiveness of the different defined criteria that influence environmental concerns and building system energy performance. A case study is presented to demonstrate the use of the proposed framework on an academic building by considering four criteria which are Operating Costs, Life Cycle Cost, Energy Con- sumption, and Carbon Emissions. Sensitivity analysis is performed on the weights of the criteria to determine how critical each crite- rion is and how they affect the ranking of the alternatives. A total of 36 combinations are simulated, considering changing the weights and procedure (SAW vs. TOPSIS). The rank that has the top repetitive percentage is considered to identify the most dominating alternative.

ACS Style

M. Marzouk; I. Abdelbasset; K. Al-Gahtani. Evaluating Building Systems Energy Performance Superiority and Inferiority Ranking. Journal of Environmental Informatics 2021, 1 .

AMA Style

M. Marzouk, I. Abdelbasset, K. Al-Gahtani. Evaluating Building Systems Energy Performance Superiority and Inferiority Ranking. Journal of Environmental Informatics. 2021; ():1.

Chicago/Turabian Style

M. Marzouk; I. Abdelbasset; K. Al-Gahtani. 2021. "Evaluating Building Systems Energy Performance Superiority and Inferiority Ranking." Journal of Environmental Informatics , no. : 1.

Journal article
Published: 29 December 2020 in Journal of Cleaner Production
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Recently, climate change has become a catastrophic phenomenon in the whole world. It has not only devastating effects on the environment but also on the social and economic aspects of societies, especially those seeking to achieve sustainable development. Coastal areas are classified as one of the areas that are particularly exposed to current and projected risks connected to climate change. Selection of suitable climate adaptation means requires an integrated evaluation of climate change impacts and detects the vulnerability degree of various areas exposed to climate change. Therefore, this paper uses Remote Sensing (RS) and Geographic Information System (GIS) techniques to develop a GIS data model (Climate-Coastal Model) for evaluating the long-term impacts of climate changes and delineating the most vulnerable areas in coastal zones. In this regard, specific indicators are needed to detect the vulnerable areas. Four main effective parameters of climate change impacts were selected, which are meteorological parameter, topographical structures parameter (Earth Shape), engineering geology parameter, and shoreline parameter. The paper considered that all indicators in the four parameters have equal weights, where the results depended on changing the values of model indicators during the study period, which is 30 years. Al-Alamein New City in Egypt is presented as a case study to demonstrate the practical features of the proposed model. The results of a developed model according to 30 years study period reveal that the affected areas from climate change impacts are those located along the shoreline. Vulnerability along the shoreline has divided into three categories. The first one represents the least vulnerable areas, which located in Al-Alamein city and constitute about 0.00154 km2 from the total area (227.65 km2). This is due to being affected by low values of meteorological indicators and minor erosion and accretion processes comparing to the other sections. The second one represents the moderate vulnerable areas, which scattered throughout all sections of the case study: Al-Alamein City, Tel Al-Eis, and Sidi Abd El-Rahman. It constitutes about 0.9941 km2 from the total area. The last one represents the most vulnerable areas, which located also in all sections of the study area and forms about 0.72092 km2 from the total area which have low elevations below the average mean of sea water level that means it is most vulnerable to any climate change scenarios. It is also affected by high values of coastal erosion, costal accretion, and wind speed as well as a high percentage of dew point. The proposed model is considered as a decision support tool, which helps the decision-makers to detect the vulnerability degree of any areas exposed to climate-change impacts based on multi-criteria and parameter to give the priority for such areas.

ACS Style

Mohamed Marzouk; Khalid Attia; Shimaa Azab. Assessment of Coastal Vulnerability to Climate Change Impacts using GIS and Remote Sensing: A Case Study of Al-Alamein New City. Journal of Cleaner Production 2020, 290, 125723 .

AMA Style

Mohamed Marzouk, Khalid Attia, Shimaa Azab. Assessment of Coastal Vulnerability to Climate Change Impacts using GIS and Remote Sensing: A Case Study of Al-Alamein New City. Journal of Cleaner Production. 2020; 290 ():125723.

Chicago/Turabian Style

Mohamed Marzouk; Khalid Attia; Shimaa Azab. 2020. "Assessment of Coastal Vulnerability to Climate Change Impacts using GIS and Remote Sensing: A Case Study of Al-Alamein New City." Journal of Cleaner Production 290, no. : 125723.

Earlycite article
Published: 16 December 2020 in International Journal of Building Pathology and Adaptation
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PurposeMaintenance of heritage buildings in Egypt is essential for extending their life and preserving them in a good condition for current use and future generations. The purpose of this paper aims to study the significant parameters to be taken into consideration in the decision-making process for maintenance of heritage buildings.Design/methodology/approachThis research identifies and analyzes the parameters affecting maintenance decision-making process using relative importance index method. Sixty-three parameters were collected from the literature and were categorized into six groups. The feedback of 15 experts who represent owners' representatives and consultants in the field of maintenance and preservation of heritage buildings was obtained through a questionnaire survey and analyses were conducted on the results.FindingsAccording to the highest values of the relative importance index method, the top 10 influencing parameters are determined. A comparison between feedback of the two groups of experts is conducted. Statistical analysis is carried out to test the parameters, revealing a strong correlation between structural and geotechnical groups of parameters.Originality/valueParameters affecting decision-making for maintenance of heritage buildings were identified, influencing parameters can be used to compare between heritage buildings in greater need of maintenance than others.

ACS Style

Hoda Abdelrazik; Mohamed Marzouk. Investigating parameters affecting maintenance of heritage buildings in Egypt. International Journal of Building Pathology and Adaptation 2020, ahead-of-p, 1 .

AMA Style

Hoda Abdelrazik, Mohamed Marzouk. Investigating parameters affecting maintenance of heritage buildings in Egypt. International Journal of Building Pathology and Adaptation. 2020; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Hoda Abdelrazik; Mohamed Marzouk. 2020. "Investigating parameters affecting maintenance of heritage buildings in Egypt." International Journal of Building Pathology and Adaptation ahead-of-p, no. ahead-of-p: 1.

Earlycite article
Published: 09 December 2020 in Engineering, Construction and Architectural Management
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PurposeThere have been numerous efforts to tackle the problem of accumulated construction and demolition wastes worldwide. In this regard, this study develops a model for identifying the optimum fleet required for waste transportation. The proposed model is validated through a case study from the construction sector in New Cairo, Egypt.Design/methodology/approachVarious fleet combinations are assessed against the time, cost, energy and emissions generated from waste transportation. Genetic algorithm optimization is performed to select the near-optimum solutions. Complex proportional assessment and operational competitiveness rating analysis decision-making techniques are applied to rank Pareto frontier solutions. These rankings are aggregated using an ensemble approach based on the half-quadratic theory. Finally, a sensitivity analysis is implemented to determine the most sensitive attribute.FindingsThe results reveal that the optimum fleet required for construction and demolition wastes (CDW) transportation consists of one wheel loader of bucket capacity 2.5 cubic meters and nine trucks of capacity 22 cubic meters. Furthermore, consensus index and trust level of 0.999 are obtained for the final ranking. This indicates that there is a high level of agreement between the rankings. Moreover, the most sensitive criterion (i.e. energy) is identified using a sensitivity analysis.Originality/valueThis study proposes an efficient and effective construction and demolition waste transportation strategy that will lead to economic gains and protect the environment. It aims to select the optimum fleet required for waste transportation based on economic, social and environmental aspects. The usefulness of this study is establishing a consensual decision through the aggregation of conflicting decision makers' preferences in waste transportation and management.

ACS Style

Nehal Elshaboury; Mohamed Marzouk. Optimizing construction and demolition waste transportation for sustainable construction projects. Engineering, Construction and Architectural Management 2020, ahead-of-p, 1 .

AMA Style

Nehal Elshaboury, Mohamed Marzouk. Optimizing construction and demolition waste transportation for sustainable construction projects. Engineering, Construction and Architectural Management. 2020; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Nehal Elshaboury; Mohamed Marzouk. 2020. "Optimizing construction and demolition waste transportation for sustainable construction projects." Engineering, Construction and Architectural Management ahead-of-p, no. ahead-of-p: 1.

Article
Published: 26 October 2020 in Water Resources Management
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Water pipelines are exposed to severe aging and deterioration challenges. The weights of importance of deterioration factors shall be estimated to predict the condition of underground water pipelines. Analytic network process (ANP) is one of the most common multiple criteria decision making techniques. The fuzzy set theory has been employed to tackle the vagueness and imprecision in human judgments. Accordingly, the overarching aim of this research is computing the weights of importance of these factors using fuzzy ANP (FANP). Chang’s extent analysis method is one of the most frequently used algorithms in FANP. For group decision making, two aggregation approaches are considered, namely geometric mean (GEO) and minimum-maximum (MIN-MAX). The performance of the modified extent analysis method is evaluated against the original method using four evaluation measures. These measures are satisfactory index, group minimum violations, group Euclidean distance, and distance between weights. Most of the evaluation measures indicate that the modified extent analysis (MIN-MAX) method exhibits better results than other methods. A water distribution network in Shaker Al-Bahery, Egypt is used to demonstrate the application of the proposed model.

ACS Style

Nehal Elshaboury; Tarek Attia; Mohamed Marzouk. Comparison of Several Aggregation Techniques for Deriving Analytic Network Process Weights. Water Resources Management 2020, 34, 4901 -4919.

AMA Style

Nehal Elshaboury, Tarek Attia, Mohamed Marzouk. Comparison of Several Aggregation Techniques for Deriving Analytic Network Process Weights. Water Resources Management. 2020; 34 (15):4901-4919.

Chicago/Turabian Style

Nehal Elshaboury; Tarek Attia; Mohamed Marzouk. 2020. "Comparison of Several Aggregation Techniques for Deriving Analytic Network Process Weights." Water Resources Management 34, no. 15: 4901-4919.

Short communication
Published: 20 October 2020 in Journal of Building Engineering
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With the construction industry shifting towards sustainable practices, it has become critical to incorporate sustainability measures in the design and operation of buildings. Space layout problem (SLP) in buildings is a classical problem of allocating activities to spaces with the intention of satisfying functional and proximity requirements. Research done on SLPs focused on the relative position of building activities with limited consideration of the building performance, or the comfort and well-being of its occupants. In light of this, this research proposes a two-component framework for solving SLPs in multi-purpose buildings based on their post-occupancy performance. The first component addresses the modeling and simulation of building activities. This follows a modular approach in activity design and operation, and integrates agent-based modeling (ABM) and discrete event simulation (DES) techniques with the queuing theory for modeling occupancy patterns and behaviors in each studied module. Three occupants-based metrics are set for assessing building performance which are energy consumption, flow patterns, and satisfaction. The second component focuses on finding the optimal solution for the layout problem based on the simulation and performance metrics. The multi-objective optimization problem is formulated as a Linear Assignment minimization problem. A case study of an administrative building is presented to illustrate the practical use of the framework. The results indicated that the framework provides a holistic yet detailed assessment of building performance. Moreover, it can be effectively incorporated as a decision support tool for solving large-scale layout problems to enhance the global and local operation of buildings with versatile activities.

ACS Style

Dalia H. Dorrah; Mohamed Marzouk. Integrated multi-objective optimization and agent-based building occupancy modeling for space layout planning. Journal of Building Engineering 2020, 34, 101902 .

AMA Style

Dalia H. Dorrah, Mohamed Marzouk. Integrated multi-objective optimization and agent-based building occupancy modeling for space layout planning. Journal of Building Engineering. 2020; 34 ():101902.

Chicago/Turabian Style

Dalia H. Dorrah; Mohamed Marzouk. 2020. "Integrated multi-objective optimization and agent-based building occupancy modeling for space layout planning." Journal of Building Engineering 34, no. : 101902.

Research paper
Published: 10 July 2020 in Systems Research and Behavioral Science
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Real estate development organizations are working in an environment that is associated with uncertainties due to the complexity of their structure and operation systems, which make them more prone to crises events. Therefore, a proactive approach for crisis management should be integrated with their long‐term strategies. System archetypes have the ability to unfold the complexity within these organizations and to provide them with an effective aiding tool in this management process. Identifying crises' scenarios and deploying them on system archetypes are essential in order to make the archetypes functional and operative. The standard archetypes in their qualitative form clarify crises' symptoms, characteristics, root causes and consequences. While in their quantitative form demonstrate with numbers the positive impact of the adopted containment strategy. The outcome of the deployment process provides a comprehensive knowledge about crises' scenarios and their containment policies that enhances the decision‐making process within the organizations.

ACS Style

Amr Abdel-Latif; Ahmed Saad-Eldien; Mohamed Marzouk. Applying system archetypes in real estate development crises. Systems Research and Behavioral Science 2020, 1 .

AMA Style

Amr Abdel-Latif, Ahmed Saad-Eldien, Mohamed Marzouk. Applying system archetypes in real estate development crises. Systems Research and Behavioral Science. 2020; ():1.

Chicago/Turabian Style

Amr Abdel-Latif; Ahmed Saad-Eldien; Mohamed Marzouk. 2020. "Applying system archetypes in real estate development crises." Systems Research and Behavioral Science , no. : 1.

Journal article
Published: 01 July 2020 in Journal of Construction Engineering and Management
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Deteriorated water distribution networks require significant investments to maximize their functionality. The problem is that limited financial resources are allocated for rehabilitation strategies. This deficiency highlights the importance of developing a tool that helps decision makers develop maintenance and replacement management plans. The optimization tool is employed using two evolutionary algorithms: genetic algorithms and particle swarm optimization. The efficacy of the developed model is demonstrated through its application in a case study of Shaker Al-Bahery, Egypt. Furthermore, evaluation metrics are considered to compare the performance of the aforementioned algorithms. The results reveal that the particle swarm optimization exhibited superior results when compared with the genetic algorithms. Moreover, the following two multicriteria decision-making techniques are used to provide a ranking for the near-optimum solutions: multiobjective optimization on the basis of ratio analysis and technique for order preference by similarity to ideal solution. Finally, the Spearman correlation coefficient is utilized to assess the correlation between rankings obtained from different decision-making methods. The results indicate a very strong relation among the aforementioned techniques.

ACS Style

Nehal Elshaboury; Tarek Attia; Mohamed Marzouk. Application of Evolutionary Optimization Algorithms for Rehabilitation of Water Distribution Networks. Journal of Construction Engineering and Management 2020, 146, 04020069 .

AMA Style

Nehal Elshaboury, Tarek Attia, Mohamed Marzouk. Application of Evolutionary Optimization Algorithms for Rehabilitation of Water Distribution Networks. Journal of Construction Engineering and Management. 2020; 146 (7):04020069.

Chicago/Turabian Style

Nehal Elshaboury; Tarek Attia; Mohamed Marzouk. 2020. "Application of Evolutionary Optimization Algorithms for Rehabilitation of Water Distribution Networks." Journal of Construction Engineering and Management 146, no. 7: 04020069.

Earlycite article
Published: 18 June 2020 in International Journal of Building Pathology and Adaptation
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PurposeThe maintenance of original building materials is crucial to extending their lifetime and avoiding their repeated replacement in heritage buildings. In order to maintain the identity of built heritage and resolve possible deterioration over the years, special expertise is required to avoid possible materials decay and to preserve building elements in a way that allows them to function efficiently as originally intended.Design/methodology/approachAn expert system is created to identify the most effective method of repair for each specific building material and to propose the appropriate conservation methods for resolving different types of damages. Artificial intelligence is used to provide a systematic problem-solving technique that saves time and provides the most efficient conservation and preservation method for heritage building elements.FindingsThose expert systems could be generalized on similar historical structures to be used as a systematic guide for examining material, evaluating deterioration state and objectively suggesting their related repair techniques. Further deteriorated materials in heritage buildings should be investigated, such as stone and timber staircases, to provide a guide for usage by restoration and conservation authorities.Originality/valueUsing a user-friendly method, with special considerations to three major problematic building elements in terms of decay and material dysfunction in heritage structures, timber doors, iron gates, and ceiling paintings are selected for diagnosis and repair in an Egyptian heritage building.

ACS Style

Mohamed Marzouk; Maryam ElSharkawy; Pakinam Elsayed; Aya Eissa. Resolving deterioration of heritage building elements using an expert system. International Journal of Building Pathology and Adaptation 2020, 38, 721 -735.

AMA Style

Mohamed Marzouk, Maryam ElSharkawy, Pakinam Elsayed, Aya Eissa. Resolving deterioration of heritage building elements using an expert system. International Journal of Building Pathology and Adaptation. 2020; 38 (5):721-735.

Chicago/Turabian Style

Mohamed Marzouk; Maryam ElSharkawy; Pakinam Elsayed; Aya Eissa. 2020. "Resolving deterioration of heritage building elements using an expert system." International Journal of Building Pathology and Adaptation 38, no. 5: 721-735.

Journal article
Published: 01 June 2020 in Journal of Construction Engineering and Management
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Over the last decade, building information modeling (BIM) has been the main player in the architectural, engineering, construction, and operation (AECO) industry. The BIM workflow is becoming more powerful by progressively integrating more applications of the AECO industry. It is worth noting that further elaborations are still to take place to address the in-practice interoperability issues in which import and export information among applications need to be automated. This paper provides a comprehensive interoperability assessment in the structural analysis domain, where the available information exchange methods have been evaluated based on Likert scale criteria. Three scores are considered to evaluate the accuracy of information exchange, including complete transfer, partial transfer, and no transfer. The transfer is considered complete when geometry, static loads, boundary conditions, and material properties are successfully transferred. These four parameters represent the practical need for information exchange in terms of structural analysis in which each application is capable of running its solver to obtain the analysis results. Five commercial structural analysis applications are considered in the assessment, representing the most common in the field: SAP2000, ETABS, ROBOT, STAAD Pro, and RFEM. Based on the assessment results, a web-based structural analysis model converter (SAMC) is developed to enable ISO-based interoperability among structural analysis applications, building on the industry foundation classes (IFC) data model. SAMC has been validated for two applications, namely, SAP2000 and STAAD Pro, while the concept is proven to link any structural application that is willing to join the BIM workflow.

ACS Style

Kareem Shoieb; Mohammed Hassanien Serror; Mohamed Marzouk. Web-Based Tool for Interoperability among Structural Analysis Applications. Journal of Construction Engineering and Management 2020, 146, 04020058 .

AMA Style

Kareem Shoieb, Mohammed Hassanien Serror, Mohamed Marzouk. Web-Based Tool for Interoperability among Structural Analysis Applications. Journal of Construction Engineering and Management. 2020; 146 (6):04020058.

Chicago/Turabian Style

Kareem Shoieb; Mohammed Hassanien Serror; Mohamed Marzouk. 2020. "Web-Based Tool for Interoperability among Structural Analysis Applications." Journal of Construction Engineering and Management 146, no. 6: 04020058.

Journal article
Published: 17 April 2020 in Journal of Building Engineering
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The majority of heritage buildings’ current deterioration state prevents those buildings from performing efficiently. Hence, a sustainable reuse approach for heritage buildings is considered essential. However, it is challenging, especially in old palaces that are usually reused with different functions mostly such as museums for their considered interior beauty and unique rich designs. Function alteration together with being in a deteriorated state augments the energy consumption problem. Due to the resulted failure in meeting the needs of potential users, and the fact that energy reduction has been a common target in all building types, energy and daylight optimization is a priority when it comes to sustainable reuse. Recent technologies have been providing supportive tools that facilitate building data retrieval, modeling, energy and light simulation. In this research, an Egyptian heritage palace is studied for possible sustainable reuse. Diva-grasshopper parametric software is utilized to simulate thermal and daylight conditions where multi-objective genetic optimization is explored with Octopus plugin, which is able to provide the best overall solution as a tradeoff maximizing daylight illuminance and minimizing energy consumption. The research proposes energy and daylight enhancement through different skylight configurations with the usage of relevant technologies that are explored, tested, and validated. The optimization of different skylight parameters is evaluated for their combined performance. The results reveal an improved performance which indicates the effectiveness of the energy and daylight optimized strategies and techniques for heritage reuse. In which they should be provided as a guideline for the enhancement of similar cases.

ACS Style

Mohamed Marzouk; Maryam ElSharkawy; Aya Eissa. Optimizing thermal and visual efficiency using parametric configuration of skylights in heritage buildings. Journal of Building Engineering 2020, 31, 101385 .

AMA Style

Mohamed Marzouk, Maryam ElSharkawy, Aya Eissa. Optimizing thermal and visual efficiency using parametric configuration of skylights in heritage buildings. Journal of Building Engineering. 2020; 31 ():101385.

Chicago/Turabian Style

Mohamed Marzouk; Maryam ElSharkawy; Aya Eissa. 2020. "Optimizing thermal and visual efficiency using parametric configuration of skylights in heritage buildings." Journal of Building Engineering 31, no. : 101385.