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This paper numerically investigates the required superplasticizer (SP) demand for self-consolidating concrete (SCC) as a valuable information source to obtain a durable SCC. In this regard, an adaptive neuro-fuzzy inference system (ANFIS) is integrated with three metaheuristic algorithms to evaluate a dataset from non-destructive tests. Hence, five different non-destructive testing methods, including J-ring test, V-funnel test, U-box test, 3 min slump value and 50 min slump (T50) value were performed. Then, three metaheuristic algorithms, namely particle swarm optimization (PSO), ant colony optimization (ACO) and differential evolution optimization (DEO), were considered to predict the SP demand of SCC mixtures. To compare the optimization algorithms, ANFIS parameters were kept constant (clusters = 10, train samples = 70% and test samples = 30%). The metaheuristic parameters were adjusted, and each algorithm was tuned to attain the best performance. In general, it was found that the ANFIS method is a good base to be combined with other optimization algorithms. The results indicated that hybrid algorithms (ANFIS-PSO, ANFIS-DEO and ANFIS-ACO) can be used as reliable prediction methods and considered as an alternative for experimental techniques. In order to perform a reliable analogy of the developed algorithms, three evaluation criteria were employed, including root mean square error (RMSE), Pearson correlation coefficient (r) and determination regression coefficient (R2). As a result, the ANFIS-PSO algorithm represented the most accurate prediction of SP demand with RMSE = 0.0633, r = 0.9387 and R2 = 0.9871 in the testing phase.
Yuping Feng; Masoud Mohammadi; Lifeng Wang; Maria Rashidi; Peyman Mehrabi. Application of Artificial Intelligence to Evaluate the Fresh Properties of Self-Consolidating Concrete. Materials 2021, 14, 4885 .
AMA StyleYuping Feng, Masoud Mohammadi, Lifeng Wang, Maria Rashidi, Peyman Mehrabi. Application of Artificial Intelligence to Evaluate the Fresh Properties of Self-Consolidating Concrete. Materials. 2021; 14 (17):4885.
Chicago/Turabian StyleYuping Feng; Masoud Mohammadi; Lifeng Wang; Maria Rashidi; Peyman Mehrabi. 2021. "Application of Artificial Intelligence to Evaluate the Fresh Properties of Self-Consolidating Concrete." Materials 14, no. 17: 4885.
Steel-concrete composite (SCC) beams are widely employed in bridge decks. The interfacial shear transfer between the top concrete slab and the supporting steel beams significantly affects the overall load carrying capacity and performance of a bridge deck. The inaccessibility of the connection system makes the visual inspection difficult, and the traditional vibration-based methods are insensitive to this type of local damage. In this study, a novel interlayer slip monitoring system has been developed for interfacial condition assessment of SCC beams. The monitoring system is mainly based on the Ultra-flat Industrial Potentiometer Membrane (UIPM). The sensor film that is glued on a steel base is mounted on the concrete slab, and the wiper is installed on the steel beam. The interlayer slip between the concrete slab and steel beam is monitored by the relative displacement between the sensor film and the wiper. An experimental study has been carried out on a 6-m long composite bridge model in the laboratory. In the model, the concrete slab and the steel beams are bolt-connected, and the bolts could be loosened to simulate the defects in the shear connection system. Seven slip sensors are evenly installed along the bridge model. The sensors are calibrated using the testing machine before they are installed on the bridge model. Three damage scenarios are simulated by loosening bolts at different locations. Different loadings are also applied on the bridge to simulate the operational conditions. Undamaged and damaged scenarios have been considered within load increments, and data are collected and interpreted to find out how the slip changes. The results show that this system is reliable and efficient to monitor the interlayer slip for assessing the interface condition of composite structures.
Faraz Sadeghi; XinQun Zhu; Jianchun Li; Maria Rashidi. A Novel Slip Sensory System for Interfacial Condition Monitoring of Steel-Concrete Composite Bridges. Remote Sensing 2021, 13, 3377 .
AMA StyleFaraz Sadeghi, XinQun Zhu, Jianchun Li, Maria Rashidi. A Novel Slip Sensory System for Interfacial Condition Monitoring of Steel-Concrete Composite Bridges. Remote Sensing. 2021; 13 (17):3377.
Chicago/Turabian StyleFaraz Sadeghi; XinQun Zhu; Jianchun Li; Maria Rashidi. 2021. "A Novel Slip Sensory System for Interfacial Condition Monitoring of Steel-Concrete Composite Bridges." Remote Sensing 13, no. 17: 3377.
Construction activities have been a primary cause for depleting natural resources and are associated with stern environmental impact. Developing concrete mixture designs that meet project specifications is time-consuming, costly, and requires many trial batches and destructive tests that lead to material wastage. Computational intelligence can offer an eco-friendly alternative with superior accuracy and performance. In this study, coal waste was used as a recycled additive in concrete. The flexural strength of a large number of mixture designs was evaluated to create an experimental database. A hybrid artificial neural network (ANN) coupled with response surface methodology (RSM) was trained and employed to predict the flexural strength of coal waste-treated concrete. In this process, four influential parameters including the cement content, water-to-cement ratio, volume of gravel, and coal waste replacement level were specified as independent input variables. The results show that concrete incorporating 3% recycled coal waste could be a competitive and eco-efficient alternative in construction activities while attaining a superior flexural strength of 6.7 MPa. The RSM-modified ANN achieved superior predictive accuracy with an RMSE of 0.875. Based on the experimental results and model predictions, estimating the flexural strength of concrete incorporating waste coal using the RSM-modified ANN model yielded superior accuracy and can be used in engineering practice to save the effort, cost, and material wastage associated with trial batches and destructive laboratory testing while producing mixtures with enhanced flexural strength.
Farshad Dabbaghi; Maria Rashidi; Moncef Nehdi; Hamzeh Sadeghi; Mahmood Karimaei; Haleh Rasekh; Farhad Qaderi. Experimental and Informational Modeling Study on Flexural Strength of Eco-Friendly Concrete Incorporating Coal Waste. Sustainability 2021, 13, 7506 .
AMA StyleFarshad Dabbaghi, Maria Rashidi, Moncef Nehdi, Hamzeh Sadeghi, Mahmood Karimaei, Haleh Rasekh, Farhad Qaderi. Experimental and Informational Modeling Study on Flexural Strength of Eco-Friendly Concrete Incorporating Coal Waste. Sustainability. 2021; 13 (13):7506.
Chicago/Turabian StyleFarshad Dabbaghi; Maria Rashidi; Moncef Nehdi; Hamzeh Sadeghi; Mahmood Karimaei; Haleh Rasekh; Farhad Qaderi. 2021. "Experimental and Informational Modeling Study on Flexural Strength of Eco-Friendly Concrete Incorporating Coal Waste." Sustainability 13, no. 13: 7506.
This research endeavor intends to use the numerical and analytical approaches to investigate the ultimate shear capacity of steel plate shear walls with partial plate-column connection (SPSW-PC). This study aims to provide an analytical relationship for estimating the ultimate capacity of SPSW-PC. Using plastic analysis and considering the mechanism of plastic hinge formation, a relation has been obtained for estimating the ultimate capacity of SPSW-PCs. Extensive parametric studies have been carried out using a nonlinear finite element method to examine the accuracy of the obtained analytical relationships. The parametric studies include investigating the influence of infill plate thickness and width-to-height ratio as well as the ratio of the plate-column detachment length of SPSW-PCs. To this end, comprehensive verification studies are initially performed by comparing the numerical predictions with several reported experimental results to demonstrate the numerical method's reliability and accuracy. Comparison is made between the hysteresis curves, failure modes, and base shear capacities predicted numerically or obtained/observed experimentally. The results show a sound compromise between the ultimate capacity of the analytical relationship and numerical models of parametric studies. Although removing the connection between the web-plate and columns can be beneficial by decreasing the overall system demand on the vertical boundary members, based on the results and findings of this research study, such detachment can reduce the stiffness and strength capacities of steel shear walls by about 25%, on average.
Mojtaba Gorji Azandariani; Ali Mohammad Rousta; Masoud Mohammadi; Maria Rashidi; Hamid Abdolmaleki. Numerical and analytical study of ultimate capacity of steel plate shear walls with partial plate-column connection (SPSW-PC). Structures 2021, 33, 3066 -3080.
AMA StyleMojtaba Gorji Azandariani, Ali Mohammad Rousta, Masoud Mohammadi, Maria Rashidi, Hamid Abdolmaleki. Numerical and analytical study of ultimate capacity of steel plate shear walls with partial plate-column connection (SPSW-PC). Structures. 2021; 33 ():3066-3080.
Chicago/Turabian StyleMojtaba Gorji Azandariani; Ali Mohammad Rousta; Masoud Mohammadi; Maria Rashidi; Hamid Abdolmaleki. 2021. "Numerical and analytical study of ultimate capacity of steel plate shear walls with partial plate-column connection (SPSW-PC)." Structures 33, no. : 3066-3080.
Bridge infrastructures are continuously subject to degradation due to aging and excess loading, placing users at risk. It has now become a major concern worldwide, where the majority of bridge infrastructures are approaching their design life. This compels the engineering community to develop robust methods for continuous monitoring of bridge infrastructures including the loads passing over them. Here, a moving load identification method based on the explicit form of Newmark-β method and Generalized Tikhonov Regularization is proposed. Most of the existing studies are based on the state space method, suffering from the errors of a large discretization and a low sampling frequency. The accuracy of the proposed method is investigated numerically and experimentally. The numerical study includes a single simply supported bridge and a three-span continuous bridge, and the experimental study includes a single-span simply supported bridge installed by sensors. The effects of factors such as the number of sensors, sensor locations, road roughness, measurement noise, sampling frequency and vehicle speed are investigated. Results indicate that the method is not sensitive to sensor placement and sampling frequencies. Furthermore, it is able to identify moving loads without disruptions when passing through supports of a continuous bridge, where most the existing methods fail.
Solmaz Pourzeynali; XinQun Zhu; Ali Ghari Zadeh; Maria Rashidi; Bijan Samali. Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies. Remote Sensing 2021, 13, 2291 .
AMA StyleSolmaz Pourzeynali, XinQun Zhu, Ali Ghari Zadeh, Maria Rashidi, Bijan Samali. Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies. Remote Sensing. 2021; 13 (12):2291.
Chicago/Turabian StyleSolmaz Pourzeynali; XinQun Zhu; Ali Ghari Zadeh; Maria Rashidi; Bijan Samali. 2021. "Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies." Remote Sensing 13, no. 12: 2291.
The construction industry is faced with numerous challenges including low productivity, lack of research and development, and poor technology advancements. Advances in digital technologies such as digital twin (DT) has seen enormous utilisations in digitally advanced industries including the manufacturing and automotive industries. It presents an opportunity for the integration of the physical world to the digital world. DT technology has the potential to transform the construction industry and provide responses to some of its challenges. As a result, the concept of DT has attracted much attention and is developing at a rapid pace. The overarching aim of this study was to analyse the current state of DT applications in the construction industry. This study comprehensively reviews and analyses DT concept, technologies, and application in the construction industry using a systematic review methodology while incorporating the science mapping method. After a complete search of several databases and careful selection in line with the proposed criteria, 22 academic publications about DT application in the construction industry were identified and classified accordingly. The research analysed in detail the status, evolution of the concept, key technologies, and six areas of application in the lifecycle phases of a project: building information modeling, structural system integrity, facilities management, monitoring, logistics processes, and energy simulation. This research shows that there is a high potential for DT to enable solutions to the numerous challenges in the construction industry. Thus, this study raises the level of awareness and need for the application of DT in the construction industry.
De-Graft Joe Opoku; Srinath Perera; Robert Osei-Kyei; Maria Rashidi. Digital twin application in the construction industry: A literature review. Journal of Building Engineering 2021, 40, 102726 .
AMA StyleDe-Graft Joe Opoku, Srinath Perera, Robert Osei-Kyei, Maria Rashidi. Digital twin application in the construction industry: A literature review. Journal of Building Engineering. 2021; 40 ():102726.
Chicago/Turabian StyleDe-Graft Joe Opoku; Srinath Perera; Robert Osei-Kyei; Maria Rashidi. 2021. "Digital twin application in the construction industry: A literature review." Journal of Building Engineering 40, no. : 102726.
This paper aims to investigate the buckling behavior of circular hollow section (CHS) T-joints in retrofitted and non-retrofitted states under axial brace compressive loading. For this purpose, two types of analysis are carried out. The first one is evaluating the critical buckling load in various tubular joints, and the other one is investigating the post-buckling behavior after each buckling mode. More than 180 CHS T-joints with various normalized geometric properties were numerically modeled in non-retrofitted state to compute their governing buckling mode, i.e., chord ovalization, brace local, or global buckling. Then three joints with different buckling modes were selected to be retrofitted by fiber-reinforced polymer (FRP) patches to illustrate the improving effect of the FRP wrapping on the post-buckling performance of the retrofitted joints. In addition, FRP composite failures were investigated. The results indicate that the FRP retrofitting is able to prevent the brace local buckling, and that matrix failure is the most common composite failure in the retrofitted joints.
Amin Yazdi; Maria Rashidi; Mohammad Alembagheri; Bijan Samali. Buckling Behavior of Non-Retrofitted and FRP-Retrofitted Steel CHS T-Joints. Applied Sciences 2021, 11, 3098 .
AMA StyleAmin Yazdi, Maria Rashidi, Mohammad Alembagheri, Bijan Samali. Buckling Behavior of Non-Retrofitted and FRP-Retrofitted Steel CHS T-Joints. Applied Sciences. 2021; 11 (7):3098.
Chicago/Turabian StyleAmin Yazdi; Maria Rashidi; Mohammad Alembagheri; Bijan Samali. 2021. "Buckling Behavior of Non-Retrofitted and FRP-Retrofitted Steel CHS T-Joints." Applied Sciences 11, no. 7: 3098.
The pre-project planning phase has a significant impact on the achievement of project objectives because during this stage, major decisions including involving contract strategies are made with a high degree of uncertainty. Studies show that the contract type can play a unique role in the achievement of project success. On the other hand, drilling projects can be considered as one of the most critical types of projects in the petroleum industry. In this research, a novel risk based best-worst method (risk-BWM) is proposed for solving the issue of selecting the best contract strategy. A three level methodology was designed; firstly, the risk breakdown structure (RBS) of drilling projects was created in four levels including one heading in level 0, eight main areas of risk in level 1, 34 sub-areas of risk in level 2, and finally, 217 risk items in level 3. Secondly and on the basis of BWM, the weights of risk factors were determined as the selection criteria and consequently the best and the worst criteria were specified. Finally, using pair-wise comparisons between six types of drilling prevalent in contracts, the most appropriate contract type was proposed. The contribution of this study is the development of a generic RBS for drilling projects and application of the risk factors for the first time for the selection of contract type using the BWM method, which has the potential of being adapted for other types of underground projects.
Amir Faraji; Maria Rashidi; Pegah Khadir; Srinath Perera. A Risk Analysis‐Best Worst Method Based Model for Selection of the Most Appropriate Contract Strategy for Onshore Drilling Projects in the Iranian Petroleum Industry. Buildings 2021, 11, 97 .
AMA StyleAmir Faraji, Maria Rashidi, Pegah Khadir, Srinath Perera. A Risk Analysis‐Best Worst Method Based Model for Selection of the Most Appropriate Contract Strategy for Onshore Drilling Projects in the Iranian Petroleum Industry. Buildings. 2021; 11 (3):97.
Chicago/Turabian StyleAmir Faraji; Maria Rashidi; Pegah Khadir; Srinath Perera. 2021. "A Risk Analysis‐Best Worst Method Based Model for Selection of the Most Appropriate Contract Strategy for Onshore Drilling Projects in the Iranian Petroleum Industry." Buildings 11, no. 3: 97.
This paper aims to numerically investigate the cyclic behavior of retrofitted and non-retrofitted circular hollow section (CHS) T-joints under axial loading. Different joints with varying ratios of brace to chord radius are studied. The effects of welding process on buckling instability of the joints in compression and the plastic failure in tension are considered. The finite element method is employed for numerical analysis, and the SAC protocol is considered as cyclic loading scheme. The CHS joints are retrofitted with different numbers of Fiber Reinforced Polymer (FRP) layers with varying orientation. The results show that the welding process significantly increases the plastic failure potential. The chord ovalization is the dominant common buckling mode under the compression load. However, it is possible to increase the energy dissipation of the joints by utilizing FRP composite through changing the buckling mode to the brace overall buckling.
Mohammad Alembagheri; Maria Rashidi; Amin Yazdi; Bijan Samali. Numerical Analysis of Axial Cyclic Behavior of FRP Retrofitted CHS Joints. Materials 2021, 14, 648 .
AMA StyleMohammad Alembagheri, Maria Rashidi, Amin Yazdi, Bijan Samali. Numerical Analysis of Axial Cyclic Behavior of FRP Retrofitted CHS Joints. Materials. 2021; 14 (3):648.
Chicago/Turabian StyleMohammad Alembagheri; Maria Rashidi; Amin Yazdi; Bijan Samali. 2021. "Numerical Analysis of Axial Cyclic Behavior of FRP Retrofitted CHS Joints." Materials 14, no. 3: 648.
In recent years, the overuse and exploitation of coal resources as fuel in industry has caused many environmental problems as well as changes in the ecosystem. One way to address this issue is to recycle these materials as an alternative to aggregates in concrete. Recently, non-destructive tests have also been considered by the researchers in this field. As there is limited work on the evaluation of the compressive strength of concrete containing coal waste using non-destructive tests, the current study aims to estimate the compressive strength of concrete containing untreated coal waste aggregates using the ultrasonic pulse velocity (UPV) technique as a non-destructive testing approach. For this purpose, various concrete parameters such as the compressive strength and UPV were investigated at different ages of concrete with different volume replacements of coarse and fine aggregates with coal waste. The test results indicate that 5% volume replacement of natural aggregates with untreated coal waste improves the average compressive strength and UPV of the concrete mixes by 6 and 1.2%, respectively. However, these parameters are significantly reduced by increasing the coal waste replacement level up to 25%. Furthermore, a general exponential relationship was established between the compressive strength and the UPV associated with the entire tested concrete specimens with different volume replacement levels of coal waste at different ages. The proposed relationship demonstrates a good correlation with the experimental results.
Mahmood Karimaei; Farshad Dabbaghi; Mehdi Dehestani; Maria Rashidi. Estimating Compressive Strength of Concrete Containing Untreated Coal Waste Aggregates Using Ultrasonic Pulse Velocity. Materials 2021, 14, 647 .
AMA StyleMahmood Karimaei, Farshad Dabbaghi, Mehdi Dehestani, Maria Rashidi. Estimating Compressive Strength of Concrete Containing Untreated Coal Waste Aggregates Using Ultrasonic Pulse Velocity. Materials. 2021; 14 (3):647.
Chicago/Turabian StyleMahmood Karimaei; Farshad Dabbaghi; Mehdi Dehestani; Maria Rashidi. 2021. "Estimating Compressive Strength of Concrete Containing Untreated Coal Waste Aggregates Using Ultrasonic Pulse Velocity." Materials 14, no. 3: 647.
Cracks in concrete can cause the degradation of stiffness, bearing capacity and durability of civil infrastructure. Hence, crack diagnosis is of great importance in concrete research. On the basis of multiple image features, this work presents a novel approach for crack identification of concrete structures. Firstly, the non-local means method is adopted to process the original image, which can effectively diminish the noise influence. Then, to extract the effective features sensitive to the crack, different filters are employed for crack edge detection, which are subsequently tackled by integral projection and principal component analysis (PCA) for optimal feature selection. Moreover, support vector machine (SVM) is used to design the classifiers for initial diagnosis of concrete surface based on extracted features. To raise the classification accuracy, enhanced salp swarm algorithm (ESSA) is applied to the SVM for meta-parameter optimization. The Dempster–Shafer (D–S) fusion algorithm is utilized to fuse the diagnostic results corresponding to different filters for decision making. Finally, to demonstrate the effectiveness of the proposed framework, a total of 1200 images are collected from a real concrete bridge including intact (without crack), longitudinal crack, transverse crack and oblique crack cases. The results validate the performance of proposed method with promising results of diagnosis accuracy as high as 96.25%.
Yang Yu; Maria Rashidi; Bijan Samali; Amir M. Yousefi; Weiqiang Wang. Multi-Image-Feature-Based Hierarchical Concrete Crack Identification Framework Using Optimized SVM Multi-Classifiers and D–S Fusion Algorithm for Bridge Structures. Remote Sensing 2021, 13, 240 .
AMA StyleYang Yu, Maria Rashidi, Bijan Samali, Amir M. Yousefi, Weiqiang Wang. Multi-Image-Feature-Based Hierarchical Concrete Crack Identification Framework Using Optimized SVM Multi-Classifiers and D–S Fusion Algorithm for Bridge Structures. Remote Sensing. 2021; 13 (2):240.
Chicago/Turabian StyleYang Yu; Maria Rashidi; Bijan Samali; Amir M. Yousefi; Weiqiang Wang. 2021. "Multi-Image-Feature-Based Hierarchical Concrete Crack Identification Framework Using Optimized SVM Multi-Classifiers and D–S Fusion Algorithm for Bridge Structures." Remote Sensing 13, no. 2: 240.
The ever-changing dynamics of infrastructure asset management and the success of accommodating to these transformations is largely in credit of adopting different technologies and methods of construction, health monitoring and maintenance. The application of drones is one such technology, favored for their features of safety, functionality and sustainability in the processes of infrastructure health monitoring. Remotely Piloted Aircrafts (RPAs) commonly known as drones have been acknowledged as the next great technology in civil infrastructure inspection. However, very limited research has been done to prove the advantages of the technology such as safety, effectiveness and cost savings. Building this bank of proof is essential for bridge authorities looking to improve bridge health monitoring into the 21st century. Remotely Piloted Aircrafts (RPAs) offer considerable potential in conducting visual inspection with high level of accuracy and minimum risk to bridge inspectors, allowing a bridge to be inspected without the need to use under-bridge inspection units or walk across the deck. This can pointedly reduce the overall inspection costs and disruption caused to the public. Furthermore, utilisation of Aerial Photogrammetry assists bridge engineers to better understand a situation through the 3D spatial context offered by RPAs.
M. Rashidi; B. Samali. Health Monitoring of Bridges Using RPAs. Lecture Notes in Civil Engineering 2020, 209 -218.
AMA StyleM. Rashidi, B. Samali. Health Monitoring of Bridges Using RPAs. Lecture Notes in Civil Engineering. 2020; ():209-218.
Chicago/Turabian StyleM. Rashidi; B. Samali. 2020. "Health Monitoring of Bridges Using RPAs." Lecture Notes in Civil Engineering , no. : 209-218.
Studies show that procurement management and its processes strongly affect project success in the construction industry, because the project-oriented organizations in the construction industry prefer to buy goods and services from outside the project team and benefit from outsourcing. Hence, these organizations are continually facing different levels of procurement processes, and the establishment of a robust outsourcing system is crucial for success of their projects and development of their businesses. On the other hand, the housing projects are considered a significant sector of the construction industry in terms of the number of projects and the impact on the national economy. Traditionally, the key sources in conventional housing projects are the general contractors, the consultants and the suppliers. In this study, essential elements of an organizational system have been investigated by expert opinions and through the Delphi method, and all effective aspects of the source selection problem have been identified and integrated. Based on the research findings, procurement of housing construction projects should be organized in three organizational levels: development of the long list, preparation of the short list and selection of the most appropriate source by focusing on four main elements of the source identification method, criteria definition, evaluation arrangement and assessment model.
Amir Faraji; Maria Rashidi; Ehsan Sorooshnia. An Integrated Organizational System for Project Source Selection in the Major Iranian Construction Companies. Buildings 2020, 10, 251 .
AMA StyleAmir Faraji, Maria Rashidi, Ehsan Sorooshnia. An Integrated Organizational System for Project Source Selection in the Major Iranian Construction Companies. Buildings. 2020; 10 (12):251.
Chicago/Turabian StyleAmir Faraji; Maria Rashidi; Ehsan Sorooshnia. 2020. "An Integrated Organizational System for Project Source Selection in the Major Iranian Construction Companies." Buildings 10, no. 12: 251.
The modal properties of modular structures, such as their natural frequencies, damping ratios and mode shapes, are different than those of conventional structures, mainly due to different structural systems being used for assembling prefabricated modular units onsite. To study the dynamic characteristics of modular systems and define a dynamic model, both the modal properties of the individual units and their connections need to be considered. This study is focused on the former aspect. A full-scale prefabricated volumetric steel module was experimentally tested using operational modal analysis technique under pure ambient vibrations and randomly generated artificial hammer impacts. It was tested in different situations: [a] bare (frame only) condition, and [b] infilled condition with different configurations of gypsum and cement-boards light-steel framed composite walls. The coupled module-wall system was instrumented with sensitive accelerometers, and its pure and free vibration responses were synchronously recorded through a data acquisition system. The main dynamic characteristics of the module were extracted using output-only algorithms, and the effects of the presence of infill wall panels and their material are discussed. Then, the module’s numerical micromodel for bare and infilled states is generated and calibrated against experimental results. Finally, an equivalent linear strut macro-model is proposed based on the calibrated data. The contribution of this study is assessing the effects of different infill wall materials on the dynamic characteristics of modular steel units, and proposing simple models for macro-analysis of infilled module assemblies.
Maria Rashidi; Pejman Sharafi; Mohammad Alembagheri; Ali Bigdeli; Bijan Samali. Operational Modal Analysis, Testing and Modelling of Prefabricated Steel Modules with Different LSF Composite Walls. Materials 2020, 13, 5816 .
AMA StyleMaria Rashidi, Pejman Sharafi, Mohammad Alembagheri, Ali Bigdeli, Bijan Samali. Operational Modal Analysis, Testing and Modelling of Prefabricated Steel Modules with Different LSF Composite Walls. Materials. 2020; 13 (24):5816.
Chicago/Turabian StyleMaria Rashidi; Pejman Sharafi; Mohammad Alembagheri; Ali Bigdeli; Bijan Samali. 2020. "Operational Modal Analysis, Testing and Modelling of Prefabricated Steel Modules with Different LSF Composite Walls." Materials 13, no. 24: 5816.
Over the last decade, particular interest in using state-of-the-art emerging technologies for inspection, assessment, and management of civil infrastructures has remarkably increased. Advanced technologies, such as laser scanners, have become a suitable alternative for labor intensive, expensive, and unsafe traditional inspection and maintenance methods, which encourage the increasing use of this technology in construction industry, especially in bridges. This paper aims to provide a thorough mixed scientometric and state-of-the-art review on the application of terrestrial laser scanners (TLS) in bridge engineering and explore investigations and recommendations of researchers in this area. Following the review, more than 1500 research publications were collected, investigated and analyzed through a two-fold literature search published within the last decade from 2010 to 2020. Research trends, consisting of dominated sub-fields, co-occurrence of keywords, network of researchers and their institutions, along with the interaction of research networks, were quantitatively analyzed. Moreover, based on the collected papers, application of TLS in bridge engineering and asset management was reviewed according to four categories including (1) generation of 3D model, (2) quality inspection, (3) structural assessment, and (4) bridge information modeling (BrIM). Finally, the paper identifies the current research gaps, future directions obtained from the quantitative analysis, and in-depth discussions of the collected papers in this area.
Maria Rashidi; Masoud Mohammadi; Saba Sadeghlou Kivi; Mohammad Abdolvand; Linh Truong-Hong; Bijan Samali. A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions. Remote Sensing 2020, 12, 3796 .
AMA StyleMaria Rashidi, Masoud Mohammadi, Saba Sadeghlou Kivi, Mohammad Abdolvand, Linh Truong-Hong, Bijan Samali. A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions. Remote Sensing. 2020; 12 (22):3796.
Chicago/Turabian StyleMaria Rashidi; Masoud Mohammadi; Saba Sadeghlou Kivi; Mohammad Abdolvand; Linh Truong-Hong; Bijan Samali. 2020. "A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions." Remote Sensing 12, no. 22: 3796.
Many researchers have taken advantage of adding shape memory alloy (SMA) wires to base isolators to control displacements and residual deformations. In the literature, different arrangements of SMA wires wrapped around the rubber bearings can be found, as examples, straight, cross and double-cross arrangements. SMA wires with various configurations and radii lead to the different characteristics of the isolator system and thus various shear hysteresis. Therefore, the aim of this study is to evaluate the performance of these three SMA wire’s configurations in the seismic retrofitting of a benchmark highway bridge by implementing them in the bridge’s existing lead rubber bearings (LRB). This system is referred to as SMA-LRB isolator. Firstly, because of the crucial influence of the wire’s radius, this parameter is determined using a multi-objective optimization algorithm (non-dominated sorting genetic algorithm (NSGA)-II). This algorithm simultaneously minimizes the deck acceleration and mid-span displacement. Secondly, the optimized SMA-LRBs are implemented in the highway bridge and nonlinear dynamic analysis is conducted. For the nonlinear response history analysis, two strong ground motion records are selected from the PEER database, by studying the site’s conditions. In addition, ten synthetic ground acceleration time histories are generated. The result illustrates that the double-cross SMA-LRB reduces the maximum and residual displacements more than two other devices; however, it causes the largest base shear force and deck acceleration. Besides, the cross-configuration results in the least displacement reduction and has the least shear force and acceleration. To find SMA-LRB with the best overall performance, a multi-objective decision-making method is utilized and the straight SMA-LRB is recognized as the most effective isolator.
Reyhaneh Hosseini; Maria Rashidi; Borko Đ. Bulajić; Kamyar Karbasi Arani; Borko Bulajic. Multi-Objective Optimization of Three Different SMA-LRBs for Seismic Protection of a Benchmark Highway Bridge against Real and Synthetic Ground Motions. Applied Sciences 2020, 10, 1 .
AMA StyleReyhaneh Hosseini, Maria Rashidi, Borko Đ. Bulajić, Kamyar Karbasi Arani, Borko Bulajic. Multi-Objective Optimization of Three Different SMA-LRBs for Seismic Protection of a Benchmark Highway Bridge against Real and Synthetic Ground Motions. Applied Sciences. 2020; 10 (12):1.
Chicago/Turabian StyleReyhaneh Hosseini; Maria Rashidi; Borko Đ. Bulajić; Kamyar Karbasi Arani; Borko Bulajic. 2020. "Multi-Objective Optimization of Three Different SMA-LRBs for Seismic Protection of a Benchmark Highway Bridge against Real and Synthetic Ground Motions." Applied Sciences 10, no. 12: 1.
Environmental concerns have increased due to the amount of unused/expired plastic medical waste generated in hospitals, laboratories, and other healthcare facilities, in addition to the fact that disposing of such wastes with extremely low degradation levels causes them to remain in the environment for extended periods of time. These issues have led researchers to develop more environmentally friendly alternatives for disposing of plastic medical waste in Australia. This study is an attempt to assess the impacts of using expired plastic syringes as fine aggregate on fresh and hardened characteristics of flowable concrete, which might provide a solution to environmental concerns. Six mixtures of flowable concrete with water-to-cement ratios of 0.38 were studied. It was found that using recycled aggregate in up to 20% can improve the workability and increase the V-funnel values of flowable concrete mixtures. However, using waste aggregates in more than 30% caused an inapt flowability. Adding waste aggregate at the 30%–50% replacement level led to a decrease in the L-box ratio. To verify the utility and the efficacy of this experiment, the connections between different rheological test measurements were also compared by implementing the Pearson correlation function. The mechanical properties of the mixes containing recycled aggregates were decreased at the age of seven days; however, at later ages, waste aggregates increased the strength at the 10%–30% replacement levels.
Maria Rashidi; Alireza Joshaghani; Maryam Ghodrat. Towards Eco-Flowable Concrete Production. Sustainability 2020, 12, 1208 .
AMA StyleMaria Rashidi, Alireza Joshaghani, Maryam Ghodrat. Towards Eco-Flowable Concrete Production. Sustainability. 2020; 12 (3):1208.
Chicago/Turabian StyleMaria Rashidi; Alireza Joshaghani; Maryam Ghodrat. 2020. "Towards Eco-Flowable Concrete Production." Sustainability 12, no. 3: 1208.
In this paper, an evolutionary multi-objective optimization algorithm named NSGA-II was used to determine the optimum radius for shape memory alloy (SMA) wires employed in conjunction with the lead rubber bearing (LRB), referred to as an SMA-LRB isolator. This algorithm simultaneously minimizes the mid-span displacement and the base shear force. Then, the optimized SMA-LRBs were implemented in a benchmark bridge to reduce excessive displacements. The results obtained from the nonlinear dynamic analysis show that the implemented approach could effectively optimize the SMA-LRBs. These improved smart isolators can noticeably reduce the maximum displacements and residual deformations of the structure; meanwhile, the base shear and deck acceleration remain less than those of the non-isolated benchmark bridge. This isolator can reduce the maximum mid-span displacement of the bridge by up to 61%, and the mid-span residual deformations by up to 100%, compared to an uncontrolled isolated bridge under different ground motions. This optimized passive system was compared with nonlinear dampers, passive SMA dampers, and a negative stiffness device. The results indicate that the optimized SMA-LRB isolators are generally more successful in reducing and recovering displacements than the other controllers.
Reyhaneh Hosseini; Maria Rashidi; Farshad Hedayati Dezfuli; Kamyar Karbasi Arani; Bijan Samali. Seismic Assessment of a Benchmark Highway Bridge Equipped with Optimized Shape Memory Alloy Wire-Based Isolators. Applied Sciences 2019, 10, 141 .
AMA StyleReyhaneh Hosseini, Maria Rashidi, Farshad Hedayati Dezfuli, Kamyar Karbasi Arani, Bijan Samali. Seismic Assessment of a Benchmark Highway Bridge Equipped with Optimized Shape Memory Alloy Wire-Based Isolators. Applied Sciences. 2019; 10 (1):141.
Chicago/Turabian StyleReyhaneh Hosseini; Maria Rashidi; Farshad Hedayati Dezfuli; Kamyar Karbasi Arani; Bijan Samali. 2019. "Seismic Assessment of a Benchmark Highway Bridge Equipped with Optimized Shape Memory Alloy Wire-Based Isolators." Applied Sciences 10, no. 1: 141.
Monitoring of structures to identify types of damages that occur under loading is essential in practical applications of civil infrastructure. In this paper, we detect and visualize damage based on several non-destructive testing (NDT) methods. A machine learning (ML) approach based on the Support Vector Machine (SVM) method is developed to prevent misdirection of the event interpretation of what is happening in the material. The objective is to identify cracks in the early stages, to reduce the risk of failure in structures. Theoretical and experimental analyses are derived by computing the performance indicators on the smart aggregate (SA)-based sensor data for concrete and reinforced-concrete (RC) beams. Validity assessment of the proposed indices was addressed through a comparative analysis with traditional SVM. The developed ML algorithms are shown to recognize cracks with a higher accuracy than the traditional SVM. Additionally, we propose different algorithms for microwave- or millimeter-wave imaging of steel plates, composite materials, and metal plates, to identify and visualize cracks. The proposed algorithm for steel plates is based on the gradient magnitude in four directions of an image, and is followed by the edge detection technique. Three algorithms were proposed for each of composite materials and metal plates, and are based on 2D fast Fourier transform (FFT) and hybrid fuzzy c-mean techniques, respectively. The proposed algorithms were able to recognize and visualize the cracking incurred in the structure more efficiently than the traditional techniques. The reported results are expected to be beneficial for NDT-based applications, particularly in civil engineering.
Azadeh Noori Hoshyar; Maria Rashidi; Ranjith Liyanapathirana; Bijan Samali. Algorithm Development for the Non-Destructive Testing of Structural Damage. Applied Sciences 2019, 9, 2810 .
AMA StyleAzadeh Noori Hoshyar, Maria Rashidi, Ranjith Liyanapathirana, Bijan Samali. Algorithm Development for the Non-Destructive Testing of Structural Damage. Applied Sciences. 2019; 9 (14):2810.
Chicago/Turabian StyleAzadeh Noori Hoshyar; Maria Rashidi; Ranjith Liyanapathirana; Bijan Samali. 2019. "Algorithm Development for the Non-Destructive Testing of Structural Damage." Applied Sciences 9, no. 14: 2810.
The current decision-making problems is more complex than it was in the past, prompting the need for decision support. Most real-world decision-making situations are subject to bounded rationality; whereby the technical and economic evaluation of all solution alternatives (branches) is bounded by the consideration of dominant subjective constraints. The early definition of DSS introduced it as a system that intended to support decision makers in semi-structured problems that could not be completely supported by algorithms. DSSs were planned to be an accessory for managers to expand their capabilities but not to replace them. Decision support systems could provide the means to complement decision makers by quantitatively supporting managerial decisions that could otherwise be based on personal intuition and experience. In addition to the traditional DSS characteristics (i.e., data and model orientation, interactivity), the inclusion of an intelligent knowledge base would be required to quantify the impacts of both technical (hard) and subjective (soft) constraints.
Maria Rashidi; Maryam Ghodrat; Bijan Samali; Masoud Mohammadi. Decision Support Systems. Management of Information Systems 2018, 1 .
AMA StyleMaria Rashidi, Maryam Ghodrat, Bijan Samali, Masoud Mohammadi. Decision Support Systems. Management of Information Systems. 2018; ():1.
Chicago/Turabian StyleMaria Rashidi; Maryam Ghodrat; Bijan Samali; Masoud Mohammadi. 2018. "Decision Support Systems." Management of Information Systems , no. : 1.