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Prof. Emilio Bastidas-Arteaga
Laboratoire des Sciences de l’Ingénieur pour l’Environnement (LaSIE) UMR CNRS 7356, La Rochelle Université, Avenue Michel Crépeau 17042 La Rochelle CEDEX 1, France

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0 Climate Change
0 Corrosion
0 Maintenance
0 Reinforced Concrete
0 Reliability

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Climate Change
deterioration
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Journal article
Published: 11 May 2021 in Sustainability
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Timber is a renewable material that should be more used for sustainable construction. While the mechanical behavior and durability of some species have been widely studied in the past, few studies are available for the Ozigo (Dacryodes buettneri) specie. This paper deals with the spatial variability of Ozigo beams subjected to long-term loadings and different environmental conditions. These beams were previously subjected to long-term creep in three environments (air-conditioned, unsheltered, and sheltered) at Masuku in the south-east of Gabon. Various specimens were extracted from these beams to determine its moisture content and subjected to three-point bending tests to obtain the modulus of elasticity and failure stress at various points in the space. The results obtained showed that, after long-term loadings, environmental exposure combined with mechanical loading, play a key role in the mechanical properties of the timber beams. A reduction of strength was found for the specimens extracted from the unsheltered and sheltered outdoor exposures in comparison with those extracted from the air-conditioned exposure. Concerning the spatial variability, statistical tests confirm that there is significant spatial correlation. It was also found that the spatial variation of properties in the beam is not stationary because it was affected by loading and support conditions.

ACS Style

Valérie Nsouami; Nicaise Manfoumbi; Rostand Moutou Pitti; Emilio Bastidas-Arteaga. Spatial Variability of Ozigo Wood Beams under Long-Term Loadings in Various Environmental Exposures. Sustainability 2021, 13, 5356 .

AMA Style

Valérie Nsouami, Nicaise Manfoumbi, Rostand Moutou Pitti, Emilio Bastidas-Arteaga. Spatial Variability of Ozigo Wood Beams under Long-Term Loadings in Various Environmental Exposures. Sustainability. 2021; 13 (10):5356.

Chicago/Turabian Style

Valérie Nsouami; Nicaise Manfoumbi; Rostand Moutou Pitti; Emilio Bastidas-Arteaga. 2021. "Spatial Variability of Ozigo Wood Beams under Long-Term Loadings in Various Environmental Exposures." Sustainability 13, no. 10: 5356.

Conference paper
Published: 08 May 2021 in Lecture Notes in Civil Engineering
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Over the Earth’s history, the climate has changed considerably due to natural processes affecting directly the earth. In the last century, these changes have perpetrated global warming. Carbon dioxide is the main trigger for climate change as it represents approximately up to 80% of the total greenhouse gas emissions. Climate change and concrete carbonation accelerate the corrosion process increasing the infrastructure maintenance and repair costs of hundreds of billions of dollars annually. The concrete carbonation process is based on the presence of carbon dioxide and moisture, which lowers the pH value to around 9, in which the protective oxide layer surrounding the reinforcing steel bars is penetrated and corrosion takes place. Predicting the effective retained service life and the need for repairs of the concrete structure subjected to carbonation requires carbon dioxide forecasting in order to increase the lifespan of the bridge. In this paper, short term memory process models were used to analyze a historical carbon dioxide database, and specifically to fill in the missing database values and perform predictions. Various models were used and the accuracy of the models was compared. We found that the proposed Stochastic Markovian Seasonal Autoregressive Integrated Moving Average (MSARIMA) model provides \(R^{2}\) value of 98.8%, accuracy in forecasting value of 89.7% and a variance in the value of the individual errors of 0.12. When compared with the CO2 database values, the proposed MSARIMA model provides a variance value of −0.1 and a coefficient of variation value of −8.0\({\text{e}}^{ - 4}\).

ACS Style

Bassel Habeeb; Emilio Bastidas-Arteaga; Helena Gervásio; Maria Nogal. Stochastic Carbon Dioxide Forecasting Model for Concrete Durability Applications. Lecture Notes in Civil Engineering 2021, 753 -765.

AMA Style

Bassel Habeeb, Emilio Bastidas-Arteaga, Helena Gervásio, Maria Nogal. Stochastic Carbon Dioxide Forecasting Model for Concrete Durability Applications. Lecture Notes in Civil Engineering. 2021; ():753-765.

Chicago/Turabian Style

Bassel Habeeb; Emilio Bastidas-Arteaga; Helena Gervásio; Maria Nogal. 2021. "Stochastic Carbon Dioxide Forecasting Model for Concrete Durability Applications." Lecture Notes in Civil Engineering , no. : 753-765.

Conference paper
Published: 08 May 2021 in Lecture Notes in Civil Engineering
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Infrastructure assets are essential components to the economical development of modern societies. They are designed to ensure target levels of serviceability and safety on the basis on past experiences and current knowledge on design, construction and maintenance practices. However, changes in climate could modify the lifetime performance of infrastructure by increasing or decreasing failure risks. Therefore, a rational and scientific approach is necessary to deal with the adaptation of existing and new deteriorating infrastructure in a comprehensive way. This keynote paper provides an overview of recent works on this area including: (1) assessment of climate change effects, (2) adaptation to new environmental conditions for future climate change scenarios and (3) decision-making under a changing climate. Several examples for different kind of deteriorating infrastructure assets are also presented and discussed in this paper.

ACS Style

Emilio Bastidas-Arteaga. Towards Climate Change Adaptation of Existing and New Deteriorating Infrastructure. Lecture Notes in Civil Engineering 2021, 39 -51.

AMA Style

Emilio Bastidas-Arteaga. Towards Climate Change Adaptation of Existing and New Deteriorating Infrastructure. Lecture Notes in Civil Engineering. 2021; ():39-51.

Chicago/Turabian Style

Emilio Bastidas-Arteaga. 2021. "Towards Climate Change Adaptation of Existing and New Deteriorating Infrastructure." Lecture Notes in Civil Engineering , no. : 39-51.

Journal article
Published: 17 February 2021 in Reliability Engineering & System Safety
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Throughout their lifetime, infrastructure network systems face unplanned events that impose pressures on their integrity, functionality, and ability to deliver value. Most of the existing infrastructure is designed to deal with the challenges imposed by uncertain external phenomena. Authors from different backgrounds have identified flexibility, changeability, and adaptability as key attributes that modern systems should have to face uncertain scenarios. Specifically, flexibility is an ability that allows a system to be easily adapted when necessary. The concept of flexibility is compelling, but it is not clear how to measure the value it may provide. Determining how much to pay to introduce flexibility is an essential aspect of designing flexible systems, but the dependence of this value on the future evolution of the system results in a complex decision process. The sequential nature of the process can be modeled using multistage stochastic programming. The model proposed explicitly considers the flexibility built into the network components as a decision variable at the initial stage. The model is tested in a generic infrastructure network that must meet a stochastic demand. The results show the relationship between the value of flexibility and the life-cycle costs at the construction and operation stages.

ACS Style

Samuel Torres-Rincón; Mauricio Sánchez-Silva; Emilio Bastidas-Arteaga. A multistage stochastic program for the design and management of flexible infrastructure networks. Reliability Engineering & System Safety 2021, 210, 107549 .

AMA Style

Samuel Torres-Rincón, Mauricio Sánchez-Silva, Emilio Bastidas-Arteaga. A multistage stochastic program for the design and management of flexible infrastructure networks. Reliability Engineering & System Safety. 2021; 210 ():107549.

Chicago/Turabian Style

Samuel Torres-Rincón; Mauricio Sánchez-Silva; Emilio Bastidas-Arteaga. 2021. "A multistage stochastic program for the design and management of flexible infrastructure networks." Reliability Engineering & System Safety 210, no. : 107549.

Journal article
Published: 08 February 2021 in Metals
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Underground pipelines have a space-dependent condition that arises from various soil properties surrounding the pipeline (e.g., moisture content, pH, aeration) and the efficiency of protection measures. Corrosion is one of the main threats for pipelines and is commonly monitored with in-line inspections (ILI) every 2 to 6 years. Preliminary characterizations of the surrounding soil allow pipeline operators to propose adequate protective measures to prevent any loss of containment (LOC) of the fluid being transported. This characterization usually requires detailed soil measurements, which could be unavailable or very costly. This paper implements categorical measurements of soil properties and defect depth measurements obtained from ILI to characterize the soil in the surroundings of a pipeline. This approach implements an independence test, a multiple correspondence analysis, and a clustering method with K-modes. The approach was applied to a real case study, showing that more severe defects are likely located in poorly drained soils with high acidity.

ACS Style

Rafael Amaya-Gómez; Emilio Bastidas-Arteaga; Felipe Muñoz; Mauricio Sánchez-Silva. Statistical Soil Characterization of an Underground Corroded Pipeline Using In-Line Inspections. Metals 2021, 11, 292 .

AMA Style

Rafael Amaya-Gómez, Emilio Bastidas-Arteaga, Felipe Muñoz, Mauricio Sánchez-Silva. Statistical Soil Characterization of an Underground Corroded Pipeline Using In-Line Inspections. Metals. 2021; 11 (2):292.

Chicago/Turabian Style

Rafael Amaya-Gómez; Emilio Bastidas-Arteaga; Felipe Muñoz; Mauricio Sánchez-Silva. 2021. "Statistical Soil Characterization of an Underground Corroded Pipeline Using In-Line Inspections." Metals 11, no. 2: 292.

Editorial
Published: 10 December 2020 in Advances in Climate Change Research
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ACS Style

Emilio Bastidas-Arteaga; Axel Creach. Climate change for coastal areas: Risks, adaptation and acceptability. Advances in Climate Change Research 2020, 11, 295 -296.

AMA Style

Emilio Bastidas-Arteaga, Axel Creach. Climate change for coastal areas: Risks, adaptation and acceptability. Advances in Climate Change Research. 2020; 11 (4):295-296.

Chicago/Turabian Style

Emilio Bastidas-Arteaga; Axel Creach. 2020. "Climate change for coastal areas: Risks, adaptation and acceptability." Advances in Climate Change Research 11, no. 4: 295-296.

Journal article
Published: 04 November 2020 in Advances in Climate Change Research
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Electric power distribution systems are vulnerable to disruption due to severe weather events, especially hurricanes. Such vulnerability is expected to increase over time due to the impact of climate change on hurricanes and the decay of wood poles that support the distribution lines. This study investigates the effectiveness of using fiber-reinforced polymer (FRP) sleeve to reinforce wood poles subjected to decay and hurricane hazard to restore their lost strength and extend their effective service life. The potential impact of climate change on the pole decay rate and the intensity and frequency of hurricanes is also considered. The optimal FRP repair time based on the structural reliability of the poles is also determined. Three locations with varying climates are chosen to evaluate and compare the results: Miami, Charleston, and New York City. The results show that in all three locations, the application of the FRP sleeve can more than double the service life of the pole depending on the time of the repair. The results also show that climate change significantly increases the vulnerability of the pole. The probability of failure of the pole at the end of the 21st century under RCP8.5 emission scenario in Miami, Charleston, and New York City increase by about 30%, 70%, and 73%, respectively, compared to a no climate change scenario. If climate change is only assumed to affect the decay of the pole, i.e., no change in hurricane hazard intensity, the corresponding increases in failure probability are 5%, 22%, and 20% in Miami, Charleston, and New York City, respectively. This implies that most of the impact of climate change on pole failure risk is due to the increase in hurricane intensity. The impact of climate change on decay is found to be comparatively small. It increases with time as variation in temperature and precipitation becomes more prominent towards the end of the 21st century. The optimization results show that the optimal FRP repair time depends on how the FRP affects the pole’s decay rate. If the FRP can significantly slow down the wood decay rate, the optimal time of repair is at the beginning of the pole's life cycle. If the FRP has no impact on the wood decay rate, it is better to repair the pole after significant decay has occurred.

ACS Style

Eric Merschman; Abdullahi M. Salman; Emilio Bastidas-Arteaga; Yue Li. Assessment of the effectiveness of wood pole repair using FRP considering the impact of climate change on decay and hurricane risk. Advances in Climate Change Research 2020, 11, 332 -348.

AMA Style

Eric Merschman, Abdullahi M. Salman, Emilio Bastidas-Arteaga, Yue Li. Assessment of the effectiveness of wood pole repair using FRP considering the impact of climate change on decay and hurricane risk. Advances in Climate Change Research. 2020; 11 (4):332-348.

Chicago/Turabian Style

Eric Merschman; Abdullahi M. Salman; Emilio Bastidas-Arteaga; Yue Li. 2020. "Assessment of the effectiveness of wood pole repair using FRP considering the impact of climate change on decay and hurricane risk." Advances in Climate Change Research 11, no. 4: 332-348.

Research article
Published: 07 August 2020 in Advances in Civil Engineering
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This work focuses on predicting corrosion onset induced by concrete carbonation or chloride ingress when using analytical predictive models. The paper proposes a procedure that helps building and infrastructure managers to select an appropriate model depending on the available information and the means granted to auscultation campaigns. The approach proposed combines the costs of input parameters, their relative importance, the benefits brought through obtaining parameters, and the maintenance strategy of the manager. Costs represent the intellectual investment to obtain parameters. This encompasses the time spent to obtain and analyze a result and the required expertise. Relative importance and benefits are obtained from sensitivity analysis. The effect of the maintenance strategy is introduced through a scalar called efficiency of the model. The proposed methodology is illustrated with two case studies where it is supposed that more or less extended information is available. Three concrete qualities are also considered in the case studies. The results highlight that the available data and concrete type have significant impacts on the selection of the most appropriate model.

ACS Style

N. Rakotovao Ravahatra; T. De Larrard; F. Duprat; E. Bastidas-Arteaga; F. Schoefs. A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models. Advances in Civil Engineering 2020, 2020, 1 -22.

AMA Style

N. Rakotovao Ravahatra, T. De Larrard, F. Duprat, E. Bastidas-Arteaga, F. Schoefs. A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models. Advances in Civil Engineering. 2020; 2020 ():1-22.

Chicago/Turabian Style

N. Rakotovao Ravahatra; T. De Larrard; F. Duprat; E. Bastidas-Arteaga; F. Schoefs. 2020. "A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models." Advances in Civil Engineering 2020, no. : 1-22.

Journal article
Published: 17 March 2020 in Applied Sciences
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Chloride-induced corrosion and load induced concrete cracking affect the serviceability and safety of reinforced concrete (RC) structures. Once these phenomena occur simultaneously, the prediction of RC structures’ lifetimes becomes a major challenge. The objective of this paper is to propose a methodology to evaluate the effect of loading and cracking on the mechanism of chloride ion penetration in concrete. The proposed methodology will be based on Bayesian networks. Bayesian networks are useful to update the lifetime assessment based on experimental data as well as to characterize the uncertainties of the input parameters of a chlorination model including a chloride diffusion acceleration factor. The proposed methodology is illustrated with experimental data coming from tests on RC beams subjected to static and cyclic loading before being in contact with a solution containing chloride ions. The characterized parameters are then used to evaluate the effect of these two loading conditions (static and cyclic) on the corrosion initiation time and the corrosion initiation probability. The results obtained indicate that the proposed methodology is capable of integrating loading and chlorination test data for the determination of the probabilistic parameters of a model in a comprehensive way.

ACS Style

Henriette Marlaine Imounga; Emilio Bastidas-Arteaga; Rostand Moutou Pitti; Serge Ekomy Ango; Xiao-Hui Wang. Bayesian Assessment of the Effects of Cyclic Loads on the Chloride Ingress Process into Reinforced Concrete. Applied Sciences 2020, 10, 2040 .

AMA Style

Henriette Marlaine Imounga, Emilio Bastidas-Arteaga, Rostand Moutou Pitti, Serge Ekomy Ango, Xiao-Hui Wang. Bayesian Assessment of the Effects of Cyclic Loads on the Chloride Ingress Process into Reinforced Concrete. Applied Sciences. 2020; 10 (6):2040.

Chicago/Turabian Style

Henriette Marlaine Imounga; Emilio Bastidas-Arteaga; Rostand Moutou Pitti; Serge Ekomy Ango; Xiao-Hui Wang. 2020. "Bayesian Assessment of the Effects of Cyclic Loads on the Chloride Ingress Process into Reinforced Concrete." Applied Sciences 10, no. 6: 2040.

Journal article
Published: 12 February 2020 in Engineering Structures
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Reliability assessment of existing timber structures subjected to deterioration processes is an important task to evaluate their serviceability and safety levels. Towards this aim, data collected after inspection campaigns are often used for updating structural reliability and planning future maintenance/inspection activities. Under natural conditions, timber decay involves a large number of uncertainties related to material properties and environmental exposure. These uncertainties are also affected by temporal and spatial variability of associated deterioration processes. In this context, the main objective of this study is to propose a Dynamic Bayesian Network approach for updating the structural reliability of deteriorating timber structures using inspection data. The proposed approach can account for the uncertainties in the decay process and the effect of spatial variability. It is also useful for reliability updating considering the uncertainties of inspection techniques. The proposed methodology is illustrated with the reliability updating of a timber beam subjected to decay deterioration. Results indicate that this approach is useful for evaluating and updating of structural reliability from spatially distributed inspection data. Reliability updating could also be carried out from partial observations at given areas, which is very useful for large-scale infrastructure.

ACS Style

Thanh-Binh Tran; Emilio Bastidas-Arteaga; Younes Aoues. A Dynamic Bayesian Network framework for spatial deterioration modelling and reliability updating of timber structures subjected to decay. Engineering Structures 2020, 209, 110301 .

AMA Style

Thanh-Binh Tran, Emilio Bastidas-Arteaga, Younes Aoues. A Dynamic Bayesian Network framework for spatial deterioration modelling and reliability updating of timber structures subjected to decay. Engineering Structures. 2020; 209 ():110301.

Chicago/Turabian Style

Thanh-Binh Tran; Emilio Bastidas-Arteaga; Younes Aoues. 2020. "A Dynamic Bayesian Network framework for spatial deterioration modelling and reliability updating of timber structures subjected to decay." Engineering Structures 209, no. : 110301.

Technical paper
Published: 29 January 2020 in Structural Concrete
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Chloride‐induced corrosion is one of the main causes leading to the lifetime reduction of reinforced concrete (RC) structures in marine environments or subjected to de‐icing salts. Modeling chloride ingress into concrete in a comprehensive way is therefore a crucial task to evaluate corrosion initiation risk and carry out preventive maintenance. Nevertheless, this comprehensive modeling is a challenging task that requires solving simultaneously a set of coupled non‐linear partial differential equations. This task becomes more complex if the inherent uncertainties of the process are considered for probabilistic lifetime assessment. The present research aims to assess the probability of corrosion initiation of RC structures. The polynomial chaos expansion (PCE) method is employed to propagate uncertainties in a chloride ingress model requiring significant computational time to perform one deterministic simulation. PCE is also applied to perform a sensitivity analysis to determine which are the more influential random variables in the problem. The proposed methodology is applied to RC structures placed in several locations in France (Brest, Marseille, and Strasbourg) and subjected to realistic environmental conditions including climate change. The results show that the PCE‐based model is accurate and efficient for lifetime assessment of RC structures subject to chloride‐induced corrosion.

ACS Style

Emilio Bastidas‐Arteaga; Charbel‐Pierre El Soueidy; Ouali Amiri; Phu Tho Nguyen. Polynomial chaos expansion for lifetime assessment and sensitivity analysis of reinforced concrete structures subjected to chloride ingress and climate change. Structural Concrete 2020, 21, 1396 -1407.

AMA Style

Emilio Bastidas‐Arteaga, Charbel‐Pierre El Soueidy, Ouali Amiri, Phu Tho Nguyen. Polynomial chaos expansion for lifetime assessment and sensitivity analysis of reinforced concrete structures subjected to chloride ingress and climate change. Structural Concrete. 2020; 21 (4):1396-1407.

Chicago/Turabian Style

Emilio Bastidas‐Arteaga; Charbel‐Pierre El Soueidy; Ouali Amiri; Phu Tho Nguyen. 2020. "Polynomial chaos expansion for lifetime assessment and sensitivity analysis of reinforced concrete structures subjected to chloride ingress and climate change." Structural Concrete 21, no. 4: 1396-1407.

Journal article
Published: 24 December 2019 in Structural Safety
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Large structures are systems composed by a significant number of components with parallel or series distributions. How these components fail and interact, aggravate the complexity of the main structure reliability calculation. Some methods commonly proposed to reduce this complexity by dividing the system into segments of similar properties using dynamic or static approaches. Dynamic segmentations may depend on how aggressive is the structure’s surrounding conditions (e.g., the soil properties). Static segmentations could be given by fixed distances. However, in a few cases, these divisions follow a condition-based approach. This paper proposes an alternative dynamic segmentation to identify preliminary critical segments based on a Changepoint approach and data obtained from inspections. Changepoints algorithms have been used to determine changes in spatial measurements for a further reliability evaluation with appropriate limit state functions. This work focuses on onshore pipelines subjected to corrosion defects based on information obtained from In-Line Inspections (ILI). Onshore pipelines cross through a variety of soils, water corridors, and densely populated areas promoting spatial-dependent degradation processes like corrosion. ILI inspections are commonly used to identify the condition of the pipeline in terms of the remaining wall and location of metal loss at the inner and outer walls by using magnetic or ultrasonic instruments. Based on a burst failure limit state, the segments obtained with the changepoints approach are compared with a soil and static segmentations. The results indicate that the proposed approach could identify the main critical points of the pipeline using segments with statistical significance.

ACS Style

Rafael Amaya-Gómez; Emilio Bastidas-Arteaga; Franck Schoefs; Felipe Muñoz; Mauricio Sanchez-Silva. A condition-based dynamic segmentation of large systems using a Changepoints algorithm: A corroding pipeline case. Structural Safety 2019, 84, 101912 .

AMA Style

Rafael Amaya-Gómez, Emilio Bastidas-Arteaga, Franck Schoefs, Felipe Muñoz, Mauricio Sanchez-Silva. A condition-based dynamic segmentation of large systems using a Changepoints algorithm: A corroding pipeline case. Structural Safety. 2019; 84 ():101912.

Chicago/Turabian Style

Rafael Amaya-Gómez; Emilio Bastidas-Arteaga; Franck Schoefs; Felipe Muñoz; Mauricio Sanchez-Silva. 2019. "A condition-based dynamic segmentation of large systems using a Changepoints algorithm: A corroding pipeline case." Structural Safety 84, no. : 101912.

Website
Published: 21 August 2019 in Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications
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ACS Style

V. Nsouami; Emilio Bastidas-Arteaga; R. Moutou Pitti; N. Manfoumbi. A database for spatial variability assessment of mechanical parameters of Ozigo specie under long-term bending tests in Gabon. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications 2019, 1762 -1767.

AMA Style

V. Nsouami, Emilio Bastidas-Arteaga, R. Moutou Pitti, N. Manfoumbi. A database for spatial variability assessment of mechanical parameters of Ozigo specie under long-term bending tests in Gabon. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications. 2019; ():1762-1767.

Chicago/Turabian Style

V. Nsouami; Emilio Bastidas-Arteaga; R. Moutou Pitti; N. Manfoumbi. 2019. "A database for spatial variability assessment of mechanical parameters of Ozigo specie under long-term bending tests in Gabon." Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications , no. : 1762-1767.

Articles
Published: 03 June 2019 in European Journal of Environmental and Civil Engineering
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Characterising spatial variability, which is of utter importance in inspection and maintenance strategies, requires comprehensive spatially distributed databases. However, in real practice, spatially distributed inspection is costly and could damage the structure if a large number of destructive tests are carried out. Therefore, the first objective of this work is to propose a methodology to extract as much informations as possible from available spatially distributed databases, in order to characterise the spatial correlation. Moreover, a preventive maintenance strategy should be supported by deterioration models able to propagate uncertainty and spatial variability. Then, the second objective of the paper is to evaluate the ability of these models to propagate uncertainties and spatial variability. The methodology is illustrated with data collected through destructive tests in a concrete wall exposed to carbonation. The database encompasses information about the concrete porosity, saturation degree, density, and carbonation depth. Recommendations are hence provided in this work for the choice of input parameters that should be modelled as random fields. These recommendations were applied and then confirmed by comparing measured and modelled spatially distributed carbonation depths. The results highlight that uncertainties in measurements and statistical uncertainties have significant impact when dealing with spatial variability.

ACS Style

N. Rakotovao Ravahatra; E. Bastidas-Arteaga; F. Schoefs; F. Duprat; T. De Larrard; M. Oumouni. Characterisation and propagation of spatial fields in deterioration models: application to concrete carbonation. European Journal of Environmental and Civil Engineering 2019, 1 -27.

AMA Style

N. Rakotovao Ravahatra, E. Bastidas-Arteaga, F. Schoefs, F. Duprat, T. De Larrard, M. Oumouni. Characterisation and propagation of spatial fields in deterioration models: application to concrete carbonation. European Journal of Environmental and Civil Engineering. 2019; ():1-27.

Chicago/Turabian Style

N. Rakotovao Ravahatra; E. Bastidas-Arteaga; F. Schoefs; F. Duprat; T. De Larrard; M. Oumouni. 2019. "Characterisation and propagation of spatial fields in deterioration models: application to concrete carbonation." European Journal of Environmental and Civil Engineering , no. : 1-27.

Journal article
Published: 01 May 2019 in Journal of Cleaner Production
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ACS Style

Juan Gabriel Rueda-Bayona; Andrés Guzmán; Juan José Cabello Eras; Rodolfo Silva-Casarín; Emilio Bastidas-Arteaga; Jose M Horrillo-Caraballo. Renewables energies in Colombia and the opportunity for the offshore wind technology. Journal of Cleaner Production 2019, 220, 529 -543.

AMA Style

Juan Gabriel Rueda-Bayona, Andrés Guzmán, Juan José Cabello Eras, Rodolfo Silva-Casarín, Emilio Bastidas-Arteaga, Jose M Horrillo-Caraballo. Renewables energies in Colombia and the opportunity for the offshore wind technology. Journal of Cleaner Production. 2019; 220 ():529-543.

Chicago/Turabian Style

Juan Gabriel Rueda-Bayona; Andrés Guzmán; Juan José Cabello Eras; Rodolfo Silva-Casarín; Emilio Bastidas-Arteaga; Jose M Horrillo-Caraballo. 2019. "Renewables energies in Colombia and the opportunity for the offshore wind technology." Journal of Cleaner Production 220, no. : 529-543.

Journal article
Published: 26 April 2019 in Marine Policy
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Coastal flooding along the Atlantic coast caused by Storm Xynthia killed 41 people. The location and configuration of residential housing were the main factors affecting the vulnerability of people to flooding. The French government responded by destroying buildings in the most flood-prone areas and relocating residents to safer areas. This strategy attracted much criticism, in particular because of the high costs involved with demolition on this scale, and that not insufficient consideration was given to other possible solutions. In this study, the goal is to compare different adaptation strategies in terms of cost of implementation and efficiency in order to reduce the vulnerability of houses to flooding. The strategies are grouped based on: (i) protection, (ii) relocation, (iii) housing architectural adaptation, and (iv) preventive warning and evacuation. This work is applied to La Guérinière, an Atlantic coastal town at risk of coastal flooding, although it was not impacted by Storm Xynthia. The initial results show that the most efficient strategy to reduce housing vulnerability to coastal flooding is also the most expensive. Ranked from the most to the least efficient and expensive, the strategies are as follows: (i) relocation, (ii) housing architectural adaptation, (iii) protection, (iv) and preventive warning and evacuation. Until now, these strategies have been limited as they omit human behaviour in response to coastal flooding scenarios. Therefore, this study examines the role of human behaviour in relation to different mitigative strategies. The efficiency and costs of the strategies are then reappraised.

ACS Style

Axel Creach; Emilio Bastidas-Arteaga; Sophie Pardo; Denis Mercier. Vulnerability and costs of adaptation strategies for housing subjected to flood risks: Application to La Guérinière France. Marine Policy 2019, 117, 103438 .

AMA Style

Axel Creach, Emilio Bastidas-Arteaga, Sophie Pardo, Denis Mercier. Vulnerability and costs of adaptation strategies for housing subjected to flood risks: Application to La Guérinière France. Marine Policy. 2019; 117 ():103438.

Chicago/Turabian Style

Axel Creach; Emilio Bastidas-Arteaga; Sophie Pardo; Denis Mercier. 2019. "Vulnerability and costs of adaptation strategies for housing subjected to flood risks: Application to La Guérinière France." Marine Policy 117, no. : 103438.

Articles
Published: 31 March 2019 in European Journal of Environmental and Civil Engineering
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Chloride ingress and carbonation are the main factors leading to corrosion initiation of reinforced concrete structures. Lifetime assessment and maintenance optimisation of these deteriorating structures has been based for several practical applications on analytical predictive models. The literature review shows that there are numerous analytical models of chloride ingress and carbonation. It was also found that comprehensive lifetime assessment requires that the selected models be able to propagate uncertainties in a correct manner. Thus, this article proposes a methodology for probabilistic sensitivity analysis of analytical models for chloride ingress and carbonation. Given that different parameter notations were found for each model, a homogenisation of notations and generic forms are first proposed. The sensitivity analysis is based on the following indicators: elasticity coefficient, Pearson coefficient, bias of the mean and standard deviation of the response of the model. The results highlighted which parameters are influential for each model by considering three concrete types. Overall results indicated a higher effect of the non-linearity of the models on the sensitivity indicators. It was also found that the level of influence of each parameter depends also on the concrete type and the duration of the exposure to chlorides or carbon dioxide.

ACS Style

Ndrianary Rakotovao Ravahatra; Emilio Bastidas-Arteaga; Franck Schoefs; Thomas de Larrard; Frédéric Duprat. Probabilistic and sensitivity analysis of analytical models of corrosion onset for reinforced concrete structures. European Journal of Environmental and Civil Engineering 2019, 25, 1665 -1694.

AMA Style

Ndrianary Rakotovao Ravahatra, Emilio Bastidas-Arteaga, Franck Schoefs, Thomas de Larrard, Frédéric Duprat. Probabilistic and sensitivity analysis of analytical models of corrosion onset for reinforced concrete structures. European Journal of Environmental and Civil Engineering. 2019; 25 (9):1665-1694.

Chicago/Turabian Style

Ndrianary Rakotovao Ravahatra; Emilio Bastidas-Arteaga; Franck Schoefs; Thomas de Larrard; Frédéric Duprat. 2019. "Probabilistic and sensitivity analysis of analytical models of corrosion onset for reinforced concrete structures." European Journal of Environmental and Civil Engineering 25, no. 9: 1665-1694.

Preface
Published: 22 March 2019 in Climate Adaptation Engineering
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ACS Style

Emilio Bastidas-Arteaga; Mark G. Stewart. Preface. Climate Adaptation Engineering 2019, 1 .

AMA Style

Emilio Bastidas-Arteaga, Mark G. Stewart. Preface. Climate Adaptation Engineering. 2019; ():1.

Chicago/Turabian Style

Emilio Bastidas-Arteaga; Mark G. Stewart. 2019. "Preface." Climate Adaptation Engineering , no. : 1.

Book chapter
Published: 22 March 2019 in Climate Adaptation Engineering
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Climate change predictions announced significant changes in the current weather patterns that could increase infrastructure vulnerability. Since infrastructure assets are of primary importance for protecting human lives and for providing fundamental societal and economical services, the adaptation of these infrastructure to new demands induced by climate changes becomes paramount for future sustainable development. Within this framework this chapter poses the basis of a concept called ‘Climate Adaptation Engineering’ that aim to improve the response of built infrastructure to future potential climate change effects based on a rational risk-based decision support. The chapter starts by introducing and reviewing basic concepts about climate change impacts and scenarios. This literature review justifies the introduction of a risk-based decision support that integrates climate and hazard, engineering, and fragility models, as well as economical decision tools to perform a comprehensive assessment of the cost-effectiveness of adaptation measures. This risk-based decision support will be illustrated with various study cases in the following chapters of this book.

ACS Style

Mark G. Stewart; Emilio Bastidas-Arteaga. Introduction to Climate Adaptation Engineering. Climate Adaptation Engineering 2019, 3 -36.

AMA Style

Mark G. Stewart, Emilio Bastidas-Arteaga. Introduction to Climate Adaptation Engineering. Climate Adaptation Engineering. 2019; ():3-36.

Chicago/Turabian Style

Mark G. Stewart; Emilio Bastidas-Arteaga. 2019. "Introduction to Climate Adaptation Engineering." Climate Adaptation Engineering , no. : 3-36.

Book chapter
Published: 22 March 2019 in Climate Adaptation Engineering
Reads 0
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Reinforced concrete (RC) and steel are materials widely used in the construction sector worldwide because of their cost-efficient durability and structural performance. Nevertheless, repair costs could be very large when infrastructure built using these materials is placed in corrosive environments. Some studies have found that these costs, directly related with damage effects, could increase under given climate change scenarios. Therefore, this chapter focuses on the assessment of costs and benefits of climate adaptation strategies for RC and steel infrastructure subjected to corrosion-induced deterioration and climate change. The adaptation strategies aim to: (i) reduce the impact of corrosion-induced damage increasing the corrosion initiation time for RC structures, or (ii) increase the dimension of steel sheet piles for steel structures to improve the mechanical behaviour in case of corrosion presence. The results of this chapter show that the cost-effectiveness will depend on several factors such as the features of the selected adaptation strategy, environmental exposure, climate change scenario, type of structural component, etc. It could be then concluded that comprehensive probabilistic modelling of deterioration processes combined with reliable climate change predictions and cost-benefit analysis are paramount to formulate ‘no regrets’ or ‘win-win’ adaptation schemes.

ACS Style

Mark G. Stewart; Emilio Bastidas-Arteaga. Corrosion of Concrete and Steel Structures in a Changing Climate. Climate Adaptation Engineering 2019, 99 -125.

AMA Style

Mark G. Stewart, Emilio Bastidas-Arteaga. Corrosion of Concrete and Steel Structures in a Changing Climate. Climate Adaptation Engineering. 2019; ():99-125.

Chicago/Turabian Style

Mark G. Stewart; Emilio Bastidas-Arteaga. 2019. "Corrosion of Concrete and Steel Structures in a Changing Climate." Climate Adaptation Engineering , no. : 99-125.