Climate-Resilient Structures and Infrastructures

Cao Wang is Senior Lecturer and ARC DECRA Fellow at the University of Technology Sydney, Australia. He is a member of the Committee on Probability and Statistics in the Physical Sciences (C(PS)2) and the Bernoulli Society for Mathematical Statistics and Probability.Bilal M. Ayyub is Professor and Director of the Center for Technology and Systems Management at the University of Maryland, USA. He is a distinguished member of ASCE, an honorary member of ASME, and a co-chair of the ASCE-NOAA Task Force on Climate Resilience in Engineering Practice, and he has chaired the ASCE Committee on Adaptation to a Changing Climate.Michael Beer is Professor and Head of the Institute for Risk and Reliability, Leibniz Universität Hannover, Germany. He is also part-time Professor at the University of Liverpool and guest Professor at Tongji University and Tsinghua University, China. He is the Chairman of the European Safety and Reliability Association (ESRA) and serves on the Executive Board of the International Safety and Reliability Association (IASSAR), on the Executive Board of the European Association of Structural Dynamics (EASD), and on the Board of Directors of the International Association for Probabilistic Safety Assessment and Management (IAPSAM). He is a fellow of the Alexander von Humboldt-Foundation.

• Chapter 1 IntroductionChapter 2 Sustainable Climate Resilience for Critical Energy Infrastructure in Developing Countries: Needs and ChallengesChapter 3 Climate-resilient structures and infrastructures: hazards, methods, and applicationsChapter 4 Navigating new waters: ensuring cyber and climate resilience in industrial water systemsChapter 5 Unpacking The ‘BLACK Box’ of Enabling Infrastructure Resilience to Climate Change: Time to Address the ‘Soft’ Elements of Organisations for Ensuring Better DecisionsChapter 6 Adapting Infrastructure to a Changing Climate with Extreme Event Attribution AssessmentsChapter 7 Hazard and Risk Assessment in Nonstationary Environments for Engineering ApplicationsChapter 8 Climate Impact Analytics for the US Freight Rail Network: Extreme Temperatures as a Case StudyChapter 9 Disaster Recovery Modeling for Residential Buildings and Its Policy ImplicationsChapter 10 Fragility Assessment of Building Portfolios under Natural Hazards Using Machine Learning and Poisson Binomial DistributionChapter 11 Predictive modelling of hail impact damage on toughened glazing panelsChapter 12 Performance modelling of aluminium building cladding under hail hazardsChapter 13 The Impact of Climate Change on Maritime Transport and Port Infrastructure ResilienceChapter 14 Machine Learning-Driven Resilience Assessment: Integrating Dynamic Bayesian Networks and Machine Learning for Predicting Critical Infrastructure Resilience Against DisastersChapter 15 Optimizing Hurricane Evacuation Decisions Under Climate ChangeChapter 16 Adoption of Green Building Strategies: A Case of Enhancing Infrastructure and Superstructure Resilience in Zimbabwe