When addressing the dynamic reliability analysis of structures, it becomes necessary to account for multiple limit state functions or their combinations. In scenarios where structures are subjected to random excitation, this can lead to intricate inter-dependencies among different limit states, and the computational workload can pose a substantial challenge in ensuring sufficient precision. Code-based design primarily ensures safety at the member level, while deterministic optimization fails to accommodate the inherent uncertainties associated with external excitation or the system as a whole. Therefore, in such cases, to address both the uncertainties in excitations and the presence of multiple limit states while mitigating computational challenges, equivalent extreme-value criteria are employed within the framework of the probability density evolution method to calculate the global reliability of the structure subjected to stochastic ground motions generated from the physically motivated stochastic ground motion model. Numerical optimization is subsequently conducted using genetic algorithms, aiming to minimize the cost of the superstructure while adhering to the design performance criteria related to the inter-story drift ratio and considering global reliability. Additionally, multi-objective optimization is carried out using NSGA-II, permitting the generation of multiple solutions, from which one can select the most suitable solution as needed. The numerical results illustrate the effectiveness of this technique in achieving an optimal balance between the cost of the structure and the consideration of global reliability, providing a comprehensive solution for dynamic reliability analysis and design optimization of structures under random excitations.
{"title":"Reliability-based design optimization for seismic structures considering randomness associated with ground motions","authors":"S. Shrestha, Yongbo Peng","doi":"10.20517/dpr.2023.35","DOIUrl":"https://doi.org/10.20517/dpr.2023.35","url":null,"abstract":"When addressing the dynamic reliability analysis of structures, it becomes necessary to account for multiple limit state functions or their combinations. In scenarios where structures are subjected to random excitation, this can lead to intricate inter-dependencies among different limit states, and the computational workload can pose a substantial challenge in ensuring sufficient precision. Code-based design primarily ensures safety at the member level, while deterministic optimization fails to accommodate the inherent uncertainties associated with external excitation or the system as a whole. Therefore, in such cases, to address both the uncertainties in excitations and the presence of multiple limit states while mitigating computational challenges, equivalent extreme-value criteria are employed within the framework of the probability density evolution method to calculate the global reliability of the structure subjected to stochastic ground motions generated from the physically motivated stochastic ground motion model. Numerical optimization is subsequently conducted using genetic algorithms, aiming to minimize the cost of the superstructure while adhering to the design performance criteria related to the inter-story drift ratio and considering global reliability. Additionally, multi-objective optimization is carried out using NSGA-II, permitting the generation of multiple solutions, from which one can select the most suitable solution as needed. The numerical results illustrate the effectiveness of this technique in achieving an optimal balance between the cost of the structure and the consideration of global reliability, providing a comprehensive solution for dynamic reliability analysis and design optimization of structures under random excitations.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139233285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zheng Tang, Tao Wang, Zhengliang Li, Dagang Lu, Yiqiu Tan
As a kind of typical wind-sensitive structure, transmission towers have attracted fast-growing attention in the field of their wind-induced dynamic response. Nevertheless, their dynamic response considering effects of semi-rigid connected joints and semi-rigid-constrained stability behaviors has not been investigated. To this end, based on the experimental and numerical study, this paper proposes a fitting formula for the stability coefficient of steel tube members with semi-rigid behaviors in transmission towers to determine the dynamic stress response. Then, the stiffness, mass, and damping matrices of steel-tube transmission towers (STTTs) with semi-rigid behaviors are determined to construct their stochastic dynamic finite element model. Subsequently, the integral form of the generalized density evolution equation is solved via a family of Dirac's sequences to conduct the stochastic stress response analysis for STTTs considering effects of semi-rigid connected joints and semi-rigid-constrained stability behaviors, and their dynamic reliability is evaluated by further introducing the extreme-value distribution method. Finally, an engineering example of an existing STTT is given, and the results indicate that the semi-rigid connected joints and semi-rigid-constrained stability behaviors would significantly affect the stochastic stress response and dynamic reliability of STTTs. Accordingly, taking into account semi-rigid connected joints and semi-rigid-constrained stability behaviors may be more applicable for analysis and design of STTTs.
{"title":"Stochastic stress response and dynamic reliability evaluation for transmission towers with semi-rigid behaviors","authors":"Zheng Tang, Tao Wang, Zhengliang Li, Dagang Lu, Yiqiu Tan","doi":"10.20517/dpr.2023.33","DOIUrl":"https://doi.org/10.20517/dpr.2023.33","url":null,"abstract":"As a kind of typical wind-sensitive structure, transmission towers have attracted fast-growing attention in the field of their wind-induced dynamic response. Nevertheless, their dynamic response considering effects of semi-rigid connected joints and semi-rigid-constrained stability behaviors has not been investigated. To this end, based on the experimental and numerical study, this paper proposes a fitting formula for the stability coefficient of steel tube members with semi-rigid behaviors in transmission towers to determine the dynamic stress response. Then, the stiffness, mass, and damping matrices of steel-tube transmission towers (STTTs) with semi-rigid behaviors are determined to construct their stochastic dynamic finite element model. Subsequently, the integral form of the generalized density evolution equation is solved via a family of Dirac's sequences to conduct the stochastic stress response analysis for STTTs considering effects of semi-rigid connected joints and semi-rigid-constrained stability behaviors, and their dynamic reliability is evaluated by further introducing the extreme-value distribution method. Finally, an engineering example of an existing STTT is given, and the results indicate that the semi-rigid connected joints and semi-rigid-constrained stability behaviors would significantly affect the stochastic stress response and dynamic reliability of STTTs. Accordingly, taking into account semi-rigid connected joints and semi-rigid-constrained stability behaviors may be more applicable for analysis and design of STTTs.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139236892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianmin Cai, Shiyu Hu, Fei Sun, Lan Tang, Gang Fan, Huige Xing
Modern disaster emergency management emphasizes the collaborative participation of multiple parties. Exploring the relationship between risk perception and mitigation behaviors of the public is essential to develop the effectiveness of public disaster reduction and improve the performance of emergency management. Based on risk perception theory, a research framework on the relationship between risk perception and mitigation behaviors was constructed by selecting two phases of emergency management: pre-disaster preparation and mid-disaster emergency response. The results showed that self-efficacy positively influenced the pre-disaster mitigation behaviors and emergency evacuation behavior. Perceived severity only positively influenced the emergency evacuation behavior in mid-disaster. Additionally, pre-disaster evacuation drills positively influenced the emergency evacuation behavior and the behavior of asking for help from government departments in mid-disaster. The results indicate that pre-disaster mitigation behaviors can have a significant impact on mid-disaster behaviors only if pre-disaster mitigation behaviors provide clear guidance for the emergency phase of the disaster. Therefore, pre-disaster mitigation activities should be carried out strategically with the aim of improving the public’s emergency self-help capabilities in disasters, which provides theoretical and practical guidance for improving the effectiveness of public disaster mitigation and improving the government’s disaster emergency management system.
{"title":"Exploring the relationship between risk perception and public disaster mitigation behavior in geological hazard emergency management: a research study in Wenchuan county","authors":"Jianmin Cai, Shiyu Hu, Fei Sun, Lan Tang, Gang Fan, Huige Xing","doi":"10.20517/dpr.2023.26","DOIUrl":"https://doi.org/10.20517/dpr.2023.26","url":null,"abstract":"Modern disaster emergency management emphasizes the collaborative participation of multiple parties. Exploring the relationship between risk perception and mitigation behaviors of the public is essential to develop the effectiveness of public disaster reduction and improve the performance of emergency management. Based on risk perception theory, a research framework on the relationship between risk perception and mitigation behaviors was constructed by selecting two phases of emergency management: pre-disaster preparation and mid-disaster emergency response. The results showed that self-efficacy positively influenced the pre-disaster mitigation behaviors and emergency evacuation behavior. Perceived severity only positively influenced the emergency evacuation behavior in mid-disaster. Additionally, pre-disaster evacuation drills positively influenced the emergency evacuation behavior and the behavior of asking for help from government departments in mid-disaster. The results indicate that pre-disaster mitigation behaviors can have a significant impact on mid-disaster behaviors only if pre-disaster mitigation behaviors provide clear guidance for the emergency phase of the disaster. Therefore, pre-disaster mitigation activities should be carried out strategically with the aim of improving the public’s emergency self-help capabilities in disasters, which provides theoretical and practical guidance for improving the effectiveness of public disaster mitigation and improving the government’s disaster emergency management system.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"952 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136067922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A systematic review was conducted, ranging from the seismic resilience of single slope engineering structures as disaster-bearing bodies to their transformation into disaster-inducing bodies owing to seismic dynamic instability. The resilience of slopes is considered with regard to regional transportation networks, which are most severely threatened by earthquake-induced landslide disasters. For the engineering structure of a single slope as a disaster-bearing body, the stage before the slope engineering loses stability can be considered as the first stage of slope seismic resilience evaluation. This review summarizes the latest progress in seismic resilience evaluation and reinforcement design from the perspective of engineering seismic resilience. In response to the lack of definition for the resilience of existing regional road networks to earthquake-induced landslide impacts during the review, the second stage involves the transformation of the seismic dynamic instability of regional slopes into landslide disasters; resilience is defined as the global system reliability of the regional road network in this study. From the perspective of network reliability, an assessment framework for the resilience of the regional transportation network against seismic landslide disasters is systematically proposed in this study. In accordance with high-dimensional nonlinear network dynamics theory, this paper highlights the future research direction of introducing high-dimensional network dynamics theory into the disaster resilience of regional road networks affected by landslide disasters.
{"title":"From slope seismic resilience to regional road network resilience: an integrated framework for evaluating the seismic resilience of mountainous road networks","authors":"Min Xiong, Hongqiang Hu, Yu Huang","doi":"10.20517/dpr.2023.27","DOIUrl":"https://doi.org/10.20517/dpr.2023.27","url":null,"abstract":"A systematic review was conducted, ranging from the seismic resilience of single slope engineering structures as disaster-bearing bodies to their transformation into disaster-inducing bodies owing to seismic dynamic instability. The resilience of slopes is considered with regard to regional transportation networks, which are most severely threatened by earthquake-induced landslide disasters. For the engineering structure of a single slope as a disaster-bearing body, the stage before the slope engineering loses stability can be considered as the first stage of slope seismic resilience evaluation. This review summarizes the latest progress in seismic resilience evaluation and reinforcement design from the perspective of engineering seismic resilience. In response to the lack of definition for the resilience of existing regional road networks to earthquake-induced landslide impacts during the review, the second stage involves the transformation of the seismic dynamic instability of regional slopes into landslide disasters; resilience is defined as the global system reliability of the regional road network in this study. From the perspective of network reliability, an assessment framework for the resilience of the regional transportation network against seismic landslide disasters is systematically proposed in this study. In accordance with high-dimensional nonlinear network dynamics theory, this paper highlights the future research direction of introducing high-dimensional network dynamics theory into the disaster resilience of regional road networks affected by landslide disasters.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"29 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136382075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Numerous studies have shown that the basin amplification effect is influenced by characteristic parameters such as basin geometry and media impedance contrast, but quantitative analysis of the effect for three-dimensional (3D) basins is still rare. In this paper, the basin amplification effect is quantified through an aggravation factor (AGF ), which is defined as the ratio between 3D and 1D acceleration response spectra along the basin surface. Considering the 3D geometry of the actual basin, we investigate the sensitivity of aggravation factors to inclination angles, shape ratios, and impedance contrasts by establishing 78 3D trapezoidal sedimentary basin models with different characteristic parameters. Furthermore, we perform a statistical analysis of the aggravation factors and propose their prediction formulas, which are applied to the Euroseistest basin and the Shidian basin. The above analysis reveals that: (1) The effects of inclination angle and shape ratio on the aggravation factor are concentrated in the edge part and central part of the basin, respectively, while the impedance contrast has less influence on the aggravation factor along the basin surface; (2) From the prediction results for the Euroseistest basin, the aggravation factor of the 3D model is higher than that of the 2D model with a maximum error of 22%, while the distribution pattern of the aggravation factor along the surface is similar; and (3) The predicted results for the Shidian basin show that the basin with a small inclination angle has a larger aggravation factor in the edge part and even exceeds the central part; for example, the highest aggravation factor is 2.155 in the edge part of the basin with an inclination angle of 6°.
{"title":"The prediction of seismic amplification effect in three-dimensional sedimentary basins and its application","authors":"Zhenning Ba, Shaocong Mu, Jingxuan Zhao, Yushan Zhang, Sanhong Chen","doi":"10.20517/dpr.2023.22","DOIUrl":"https://doi.org/10.20517/dpr.2023.22","url":null,"abstract":"Numerous studies have shown that the basin amplification effect is influenced by characteristic parameters such as basin geometry and media impedance contrast, but quantitative analysis of the effect for three-dimensional (3D) basins is still rare. In this paper, the basin amplification effect is quantified through an aggravation factor (AGF ), which is defined as the ratio between 3D and 1D acceleration response spectra along the basin surface. Considering the 3D geometry of the actual basin, we investigate the sensitivity of aggravation factors to inclination angles, shape ratios, and impedance contrasts by establishing 78 3D trapezoidal sedimentary basin models with different characteristic parameters. Furthermore, we perform a statistical analysis of the aggravation factors and propose their prediction formulas, which are applied to the Euroseistest basin and the Shidian basin. The above analysis reveals that: (1) The effects of inclination angle and shape ratio on the aggravation factor are concentrated in the edge part and central part of the basin, respectively, while the impedance contrast has less influence on the aggravation factor along the basin surface; (2) From the prediction results for the Euroseistest basin, the aggravation factor of the 3D model is higher than that of the 2D model with a maximum error of 22%, while the distribution pattern of the aggravation factor along the surface is similar; and (3) The predicted results for the Shidian basin show that the basin with a small inclination angle has a larger aggravation factor in the edge part and even exceeds the central part; for example, the highest aggravation factor is 2.155 in the edge part of the basin with an inclination angle of 6°.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135731738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Supratik Bose, Andreas Stavridis, Panagiotis Ch. Anastasopoulos, Kallol Sett
This study uses a statistical surrogate model to develop fragility curves for an infilled reinforced concrete frame building, considering uncertainties in both material properties and ground motion parameters. The focal point of this study is a school building in Nepal damaged during the 2015 Gorkha earthquake. The school was instrumented, and its seismic response was simulated using a nonlinear numerical model. The model, developed following a recently proposed framework and extensively validated with the field data, is used in a parametric study conducted to identify the most influential material parameters (MPs). The model is then used in incremental dynamic analyses conducted to provide data for the calibration of a surrogate model. The three-staged least square statistical modeling approach is adopted to relate the influential MPs and ground motion intensity measures with important response quantities related to the peak and residual first-story drift ratios. The surrogate model is employed to generate fragility curves accounting for the two sources of uncertainty. The results indicate that accounting for uncertainties associated with the MPs can alter the fragility curves, causing a shift in the prediction of the median and dispersion of intensity measures.
{"title":"Fragility curves accounting for uncertainties in material parameters and ground motion characteristics using a data driven surrogate model","authors":"Supratik Bose, Andreas Stavridis, Panagiotis Ch. Anastasopoulos, Kallol Sett","doi":"10.20517/dpr.2023.20","DOIUrl":"https://doi.org/10.20517/dpr.2023.20","url":null,"abstract":"This study uses a statistical surrogate model to develop fragility curves for an infilled reinforced concrete frame building, considering uncertainties in both material properties and ground motion parameters. The focal point of this study is a school building in Nepal damaged during the 2015 Gorkha earthquake. The school was instrumented, and its seismic response was simulated using a nonlinear numerical model. The model, developed following a recently proposed framework and extensively validated with the field data, is used in a parametric study conducted to identify the most influential material parameters (MPs). The model is then used in incremental dynamic analyses conducted to provide data for the calibration of a surrogate model. The three-staged least square statistical modeling approach is adopted to relate the influential MPs and ground motion intensity measures with important response quantities related to the peak and residual first-story drift ratios. The surrogate model is employed to generate fragility curves accounting for the two sources of uncertainty. The results indicate that accounting for uncertainties associated with the MPs can alter the fragility curves, causing a shift in the prediction of the median and dispersion of intensity measures.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135537134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study proposes a repair procedure-based recovery pattern for better estimation of structural seismic resilience, which is scarcely considered in previous studies. In this manner, the multiple repair stages and detailed repair sequences of each damaged component are incorporated into the post-earthquake structural functionality, which could better present the recovery process. Additionally, to indicate the structural resilience from the point of public civilians, a novel concept of public resilience (PR) is proposed as well. In this concept, the functionality of structures remains zero until they are completely repaired and opened to the public. This is because, for civilians, the structural functionality is meaningless before opening for full utilization. Analytical analysis and numerical illustrative examples of typical highway bridges are utilized, demonstrating the efficiency of the proposed concepts. The results show that even for the simplified situation with only two damaged components, the seismic resilience is substantially affected by incorporating the stages and the sequences of repair procedures. While for more complex practical scenarios, the influence of repair procedures is expected to be more significant. Additionally, since the recovery pattern of PR is represented through stepwise functions, the value of PR is always lower than that of conventional methods. This fact indicates that for public civilians, seismic resilience of structures will not be as high as that in the view of engineers and researchers.
{"title":"Repair procedure-based recovery pattern for estimating seismic resilience and novel concept of public resilience","authors":"Xu Chen, Zhongguo Guan, Jianzhong Li, Yutao Pang","doi":"10.20517/dpr.2023.23","DOIUrl":"https://doi.org/10.20517/dpr.2023.23","url":null,"abstract":"This study proposes a repair procedure-based recovery pattern for better estimation of structural seismic resilience, which is scarcely considered in previous studies. In this manner, the multiple repair stages and detailed repair sequences of each damaged component are incorporated into the post-earthquake structural functionality, which could better present the recovery process. Additionally, to indicate the structural resilience from the point of public civilians, a novel concept of public resilience (PR) is proposed as well. In this concept, the functionality of structures remains zero until they are completely repaired and opened to the public. This is because, for civilians, the structural functionality is meaningless before opening for full utilization. Analytical analysis and numerical illustrative examples of typical highway bridges are utilized, demonstrating the efficiency of the proposed concepts. The results show that even for the simplified situation with only two damaged components, the seismic resilience is substantially affected by incorporating the stages and the sequences of repair procedures. While for more complex practical scenarios, the influence of repair procedures is expected to be more significant. Additionally, since the recovery pattern of PR is represented through stepwise functions, the value of PR is always lower than that of conventional methods. This fact indicates that for public civilians, seismic resilience of structures will not be as high as that in the view of engineers and researchers.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134885913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Structural reliability analysis with epistemic and aleatory uncertainties via AK-MCS with a new learning function","authors":"Yunjie Du, Jun Xu","doi":"10.20517/dpr.2023.18","DOIUrl":"https://doi.org/10.20517/dpr.2023.18","url":null,"abstract":"","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116200207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent natural disasters and climate change-induced extremes emphasize the urgent need to enhance the overall resilience of society by addressing the various hazards that buildings may face. Current design approaches recognize the need for integrated risk assessments, but studies primarily focus on existing buildings and single hazards, neglecting the impact of multiple hazards and resilience quantifications. However, it is crucial to consider multi-hazard scenarios and quantify economic, environmental, and resilience losses to pursue effective solutions from the early-stage design of both new buildings and retrofitting interventions. This paper presents a practical multi-criteria approach to support design decisions for enhanced safety, sustainability, and resilience of buildings against earthquakes and heatwaves. The proposed approach is applied to a commercial building with various seismic-resistant and energy-efficient facades. Non-linear seismic assessments are conducted to predict the potential impact concerning repair costs, carbon emissions, and the resilience loss at the design-level earthquake. Additionally, a whole life-cycle analysis and dynamic energy simulations are performed to calculate the financial and carbon losses resulting from power consumption and the ability of the building to maintain energy efficiency under extreme heat. Finally, the study employs a multi-matrix decision-making approach based on integrated economic, environmental, and resilience losses to guide the design selection. The results demonstrate that earthquake-resistant facades can significantly reduce financial losses by over 50%, with seismic resilience playing a crucial role in the final decision. This approach facilitates more effective investment decisions for building projects, enabling the quantification of the effectiveness of integrated strategies in reducing overall potential losses.
{"title":"Integrating resilience in the multi-hazard sustainable design of buildings","authors":"S. Bianchi","doi":"10.20517/dpr.2023.16","DOIUrl":"https://doi.org/10.20517/dpr.2023.16","url":null,"abstract":"Recent natural disasters and climate change-induced extremes emphasize the urgent need to enhance the overall resilience of society by addressing the various hazards that buildings may face. Current design approaches recognize the need for integrated risk assessments, but studies primarily focus on existing buildings and single hazards, neglecting the impact of multiple hazards and resilience quantifications. However, it is crucial to consider multi-hazard scenarios and quantify economic, environmental, and resilience losses to pursue effective solutions from the early-stage design of both new buildings and retrofitting interventions. This paper presents a practical multi-criteria approach to support design decisions for enhanced safety, sustainability, and resilience of buildings against earthquakes and heatwaves. The proposed approach is applied to a commercial building with various seismic-resistant and energy-efficient facades. Non-linear seismic assessments are conducted to predict the potential impact concerning repair costs, carbon emissions, and the resilience loss at the design-level earthquake. Additionally, a whole life-cycle analysis and dynamic energy simulations are performed to calculate the financial and carbon losses resulting from power consumption and the ability of the building to maintain energy efficiency under extreme heat. Finally, the study employs a multi-matrix decision-making approach based on integrated economic, environmental, and resilience losses to guide the design selection. The results demonstrate that earthquake-resistant facades can significantly reduce financial losses by over 50%, with seismic resilience playing a crucial role in the final decision. This approach facilitates more effective investment decisions for building projects, enabling the quantification of the effectiveness of integrated strategies in reducing overall potential losses.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121157379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Fung, Yating Zhang, Katherine J. Johnson, D. Cook, S. Sattar
Functional recovery has the potential to serve as the link between asset-level design of the built infrastructure and community-level resilience to disasters. This article reviews current research and development efforts to advance the science-supporting post-earthquake recovery-based performance objectives for buildings and critical lifelines in the United States (US). We propose a holistic approach to the development of recovery-based design criteria that considers the various stakeholder perspectives within three distinct but interrelated stages of development: formulation of design guidance, codes, and standards; implementation of guidance, codes, and standards into practice; and evaluation of outcomes and impact. We propose a market-based stakeholder analysis that frames the diverse stakeholder perspectives within their role in supporting each stage: Policy Makers (the market makers), Decision Makers (the supply side), and End Users (the demand side). Within this context, we make two recommendations to support the development of recovery-based design standards: (1) economic evaluation should be conducted in conjunction with engineering design; (2) efforts at the formulation stage should be forward-looking to the implementation stage. Finally, we discuss challenges for implementation (defining critical functions, equity and community resilience, and monitoring, enforcement, and evaluation) and open questions for the future of functional recovery in supporting community resilience goals.
{"title":"Multidisciplinary research to advance the development of functional recovery for community resilience","authors":"J. Fung, Yating Zhang, Katherine J. Johnson, D. Cook, S. Sattar","doi":"10.20517/dpr.2023.15","DOIUrl":"https://doi.org/10.20517/dpr.2023.15","url":null,"abstract":"Functional recovery has the potential to serve as the link between asset-level design of the built infrastructure and community-level resilience to disasters. This article reviews current research and development efforts to advance the science-supporting post-earthquake recovery-based performance objectives for buildings and critical lifelines in the United States (US). We propose a holistic approach to the development of recovery-based design criteria that considers the various stakeholder perspectives within three distinct but interrelated stages of development: formulation of design guidance, codes, and standards; implementation of guidance, codes, and standards into practice; and evaluation of outcomes and impact. We propose a market-based stakeholder analysis that frames the diverse stakeholder perspectives within their role in supporting each stage: Policy Makers (the market makers), Decision Makers (the supply side), and End Users (the demand side). Within this context, we make two recommendations to support the development of recovery-based design standards: (1) economic evaluation should be conducted in conjunction with engineering design; (2) efforts at the formulation stage should be forward-looking to the implementation stage. Finally, we discuss challenges for implementation (defining critical functions, equity and community resilience, and monitoring, enforcement, and evaluation) and open questions for the future of functional recovery in supporting community resilience goals.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126020534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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