Multi-disciplinary seismic resilience modeling for developing mitigation policies and recovery planning

作     者：Milad Roohi Saeid Ghasemi Omar Sediek Hwayoung Jeon John W.van de Lindt Martin Shields Sara Hamideh Harvey Cutler 

作者机构：Durham School of Architectural Engineering and ConstructionUniversity of Nebraska–LincolnOmahaNE68182 USA Dept.of Structural EngineeringCairo Univ.Giza 12613Egypt formerlyPostdoctoral FellowDept.of Civil and Environmental EngineeringColorado State Univ.Fort CollinsCO 80523 USA Department of EconomicsColorado State UniversityFort CollinsCO 80521 USA Harold H.Short Endowed Chair ProfessorDepartment of Civil and Environmental EngineeringColorado State UniversityFort CollinsCO 80523 USA School of Marine and Atmospheric SciencesStony Brook UniversityStony BrookNY 

出 版 物：《Resilient Cities and Structures》 (韧性城市与结构（英文）)

年 卷 期：2024年第3卷第2期

页      面：66-84页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 

基　　金：funded through a cooperative agreement between the U.S.National Institute of Standards and Technology and Colorado State University(NIST Financial Assistance Award Numbers:70NANB15H044 and 70NANB20H008) 

主　　题：Community resilience Infrastructure systems Multi-disciplinary Mitigation policy Functional recovery 

摘      要：The multi-disciplinary data and information available at a community level comprise the foundation of natural hazard resilience *** data enable and inform mitigation and recovery planning decisions prior to and following damaging events such as *** paper presents a multi-disciplinary seismic resilience mod-eling methodology to assess the vulnerability of the built environment and economic *** methodology can assist decision-makers with developing effective mitigation policies to improve the seismic resilience of *** complementary modeling strategies are designed to examine the impacts of scenario earthquakes from a combined engineering and economic *** engineering model is developed using a probabilis-tic fragility-based modeling approach and is analyzed using Monte Carlo(MC)simulations subject to seismic multi-hazard,including simulated ground shaking and resulting liquefaction of the soil,to quantify the physical damage to buildings and electric power substations(EPS).The outcome of the analysis is subsequently used as input to repair and recovery models to quantify repair cost and recovery time metrics for buildings and as input to functionality models to estimate the functionality of individual buildings and substations by accounting for their *** economic model consists of a spatial computable general equilibrium(SCGE)model that aggregates commercial buildings into sectors for retail,manufacturing,services,etc.,and aggregates residential buildings into a wide range of household *** SCGE model employs building functionality estimates to quantify the economic *** outcomes of this integrated modeling consist of engineering and economic impact metrics,which are used to investigate mitigation actions to help inform a community on approaches to achieve its resilience *** illustrative case study of Salt Lake County(SLC),Utah,developed through an extensive collaborative partner