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eLibrary > ASCE Infrastructure Resilience Publication 7: Resilient and Sustainable Buildings >

ASCE Infrastructure Resilience Publication 7: Resilient and Sustainable Buildings, 2023

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ASCE Infrastructure Resilience Publication 7: Resilient and Sustainable Buildings, 2023

Cover
Half Title
Title Page
Copyright Page
Contents
Acknowledgments
Executive Summary
Layout of This Book
Chapter 1: A Risk-Informed Decision Framework to Achieve Resilient and Sustainable Buildings That Meet Community Objectives [Go to Page]
1.1 Introduction [Go to Page]
1.1.1 The Building Regulatory Process in the United States
1.1.2 Building Performance Objectives
1.1.3 Community Performance Objectives and Metrics
1.1.4 Community Resilience versus Individual Building Performance—De-aggregation of Community Goals
1.2 Methodology/Framework/Approach Used in the Project [Go to Page]
1.2.1 Project Objectives
1.2.2 The Importance of Interdependencies in Resilience Assessment
1.2.3 Balance between Sustainability and Resilience
1.2.4 Life-Cycle Analysis for Sustainability and Resilience
1.2.5 Role of Fragility Functions in Performance Assessment
1.2.6 Role of Scenario-Based Hazard Analysis
1.2.7 De-aggregation of Community Goals to the Building Performance Level
1.2.8 Building Back Better to Enhance Community Resilience
1.3 Detailed Methods, Approaches—Hazards, Building Systems [Go to Page]
1.3.1 Development of Fragility Functions
1.3.2 Life-Cycle Analysis for Residential Buildings [Go to Page]
1.3.2.1 Total Life-Cycle Cost
1.3.2.2 Regular Repair/Maintenance Cost
1.3.2.3 Expected Damage Repair Cost
1.3.2.4 Assessment of Life-Cycle Carbon Footprint
1.3.3 Community Resilience Assessment Framework
1.3.4 De-aggregation of Community Goals to the Building Performance Level
1.4 Application/Example/Case Study [Go to Page]
1.4.1 Life-Cycle Analysis at Individual Building and Community Levels [Go to Page]
1.4.1.1 Illustration of Life-Cycle Analysis of a Single-Family Residential Building
1.4.1.2 Illustration of Life-Cycle Analysis for an Ensemble of Residential Buildings
1.4.2 Interdependencies and Resilience at a Community Level
1.4.3 De-aggregation of Community Goals to the Building Performance Level
1.5 Project Conclusions, Lessons Learned
References
Chapter 2: Building Design and Decision-Making for Multihazard Resilience and Sustainability [Go to Page]
2.1 Introduction and Scope [Go to Page]
2.1.1 General
2.1.2 Research Significance
2.1.3 Background and Literature Review
2.2 Design Framework [Go to Page]
2.2.1 Natural Hazard Characterization [Go to Page]
2.2.1.1 Seismic Hazard
2.2.1.2 Joint Wind and Flood Hazards
2.2.1.3 Nonstationarities of Wind and Flood hazards
2.2.2 Modeling of Fragility and Damage to Building Components [Go to Page]
2.2.2.1 Seismic Damage
2.2.2.2 Wind Damage
2.2.2.3 Flood Damage
2.2.3 Building Resilience and Sustainability Assessment [Go to Page]
2.2.3.1 Building Resilience
2.2.3.2 Building Sustainability
2.2.4 Multiobjective Optimization and Decision-Making
2.3 Methodology [Go to Page]
2.3.1 Natural Hazard Characterization [Go to Page]
2.3.1.1 Seismic Hazard and Ground Motions
2.3.1.2 Ground Motion Demand for Seismic Performance Evaluation
2.3.1.3 Joint Probability of Wind and Flood Hazards
2.3.1.4 Nonstationary Coastal Wind and Flood Hazard Analyses
2.3.2 Modeling of Building Damage and Identifying Fragility and Probability of Failure [Go to Page]
2.3.2.1 Seismic Damage
2.3.2.2 Wind Damage
2.3.2.3 Flood Damage
2.3.2.4 Probability of Failure
2.3.3 Building Resilience and Sustainability [Go to Page]
2.3.3.1 Building Resilience
2.3.3.2 Building Sustainability
2.3.4 Multiobjective Optimization and Decision-Making [Go to Page]
2.3.4.1 Multiobjective Optimization
2.3.4.2 Decision-Making: Final Design Selection
2.3.5 Decision-Makers’ Preference Weights for Building Sustainability and Resilience Criteria [Go to Page]
2.3.5.1 Final Design Selection
2.4 Applications and Examples [Go to Page]
2.4.1 Resilience-Based Multihazard Performance Evaluation of Buildings Designed to Current Codes [Go to Page]
2.4.1.1 Envelope and Roof Covering Systems
2.4.1.2 Seismic Fragility
2.4.1.3 Wind Fragility for Roof Cover Damage
2.4.1.4 Seismic Probability of Failure
2.4.1.5 Wind Probability of Failure
2.4.2 Joint Probability of Wind and Flood Hazards for Boston [Go to Page]
2.4.2.1 �Empirical and Fitted Distributions of Wind and Flood Hazard Intensity Measures
2.4.2.2 Copula
2.4.2.3 Joint Hazard Curves and Envelopes
2.4.3 Nonstationary Coastal Wind and Flood Hazard Analyses for Boston and Miami [Go to Page]
2.4.3.1 �Comparison between Stationary and Nonstationary Probability Distributions
2.4.3.2 Coastal Wind and Flood Hazard Curves
2.4.4 Building Life Span Flood Damage Evaluation for Boston and Miami
2.4.5 Future Building Energy Simulations for San Francisco, Boston, and Miami
2.4.6 Effect of Envelope Window-to-Wall Ratio on Measured Energy Consumption
2.4.7 Optimal Building Designs and Implications for Building Codes [Go to Page]
2.4.7.1 3D Moment Frame Structure
2.4.7.2 3D Moment Frame Structure with Structural Walls
2.5 Conclusions
References
Chapter 3: A Sequential Decision Framework to Support Tradespace Exploration of Multihazard Resilient and Sustainable Designs [Go to Page]
3.1 Introduction
3.2 Methodology [Go to Page]
3.2.1 Design as a Sequential Decision Process
3.2.2 Bounding Model
3.2.3 Interval Dominance
3.2.4 Sequencing of Multifidelity Models
3.3 Detailed Methodologies [Go to Page]
3.3.1 Multiobjective Design Optimization of Structural Frame Systems: Deterministic Decision Criteria [Go to Page]
3.3.1.1 Bounding Models for the Capacity Spectrum Method
3.3.1.2 Interval Dominance in the Capacity Spectrum Method
3.3.2 Multiobjective Design Optimization of Structural–Foundation–Soil Systems: Deterministic Decision Criteria [Go to Page]
3.3.2.1 �Leveraging Monotonicity and Concavity to Construct Bounding Models
3.3.2.2 �Dimensionality Reduction through Systematic Deferring of Subsets or Design Variables
3.3.3 Multiobjective Design Optimization of a Structural Frame System: Probabilistic Decision Criteria [Go to Page]
3.3.3.1 �Performance Comparison Based on the Precise Values of Decision Criteria
3.3.3.2 Development of Bounding Models
3.3.3.3 Sequential Decision Process with Probabilistic Decision Criteria
3.3.3.4 Illustrative Example
3.3.4 Integration of Environmental Impacts and Seismic Damage [Go to Page]
3.3.4.1 �Integrating the Seismic Hazard and Environmental Performance Assessment of Building Designs
3.3.4.2 Illustrative Example
3.3.5 Optimal Sequencing of Multifidelity Model Evaluation of Design Space [Go to Page]
3.3.5.1 Problem Formulation as a Finite Markov Decision Process
3.3.5.2 �Solving the Design Sequential Decision Process by Reinforcement Learning
3.4 Applications [Go to Page]
3.4.1 Multiobjective Design Optimization of Structural Frame Systems: Deterministic Decision Criteria [Go to Page]
3.4.1.1 Problem Statement: Design Objectives, Variables, and Constraints
3.4.1.2 �Description of Model, Analysis Method, and Multifidelity Parameters
3.4.1.3 Results
3.4.2 Multiobjective Design Optimization of Structural–Foundation–Soil Systems: Deterministic Decision Criteria [Go to Page]
3.4.2.1 Problem Statement: Design Objectives, Variables, and Constraints
3.4.2.2 �Description of Model, Analysis Method, and Multifidelity Parameters
3.4.2.3 Results
3.4.3 Multiobjective Design Optimization of a Structural Frame System: Probabilistic Decision Criteria [Go to Page]
3.4.3.1 Problem Statement: Design Objectives, Variables, and Constraints
3.4.3.2 �Overview of the Performance-Based Earthquake Engineering Assessment Framework
3.4.3.3 Convergence of Monte Carlo Simulation
3.4.3.4 Results
3.4.4 Optimal Sequencing of Multifidelity Model Evaluation of Design Space [Go to Page]
3.4.4.1 Problem Statement: Design Objectives, Variables, and Constraints
3.4.4.2 Results
3.4.4.3 �Comparison with the Optimal Sequence in the Sequential Decision Process Methodology
3.5 Project Conclusions and Findings
References
Chapter 4: A Reliability-Based Decision Support System for Resilient and Sustainable Early Design [Go to Page]
4.1 Introduction
4.2 Methodology [Go to Page]
4.2.1 Prerequisite: Problem Definition
4.2.2 Framework Objectives and Value
4.2.3 Framework Overview
4.3 Description of Modules and Developed Tools [Go to Page]
4.3.1 Decision Framing with SIMPLE-Design
4.3.2 Open Performance Data Inventories [Go to Page]
4.3.2.1 �INventory of Seismic Structural Evaluation, Performance Functions, and Taxonomies
4.3.2.2 Multihazard Vulnerability Database
4.3.2.3 �Archetype Soil, Foundation, Lateral-Resisting Structural, and Envelope Systems
4.3.2.4 Environmental Impact Data
4.3.3 Soil, Foundation, Lateral-Resisting Structural, and Envelope System Generator Module
4.3.4 Module 2: Probabilistic Life-Cycle Performance Assessment [Go to Page]
4.3.4.1 Performance-Based Early Design
4.3.4.2 Available Routes for Performance-Based Early Design
4.3.5 Module 3: Preference-Based Multiobjective Ranking and Optimization
4.4 Illustrative Example [Go to Page]
4.4.1 Building and Site
4.4.2 Decision-Makers, Framing, and Metrics
4.4.3 Application of the M1 Module to Generate Soil, Foundation, Lateral-Resisting Structural, and Envelope Systems [Go to Page]
4.4.3.1 Definition of Initial Design Space
4.4.3.2 �Preliminary Ranking and Selection of Feasible Soil, Foundation, Lateral-Resisting Structural, and Envelope Configurations
4.4.4 Using the M2 Module for Life-cycle Performance Assessment [Go to Page]
4.4.4.1 Seismic Hazard Characterization
4.4.4.2 Structural Modeling and Performance Parameters
4.4.4.3 Seismic Performance Analysis and Decision Metrics
4.4.4.4 Economic and Environmental Decision Metrics
4.4.5 Using the M3 Module to Introduce Stakeholder Preferences [Go to Page]
4.4.5.1 Limit-State Functions—Definitions
4.4.6 Decision Support Results and Discussion [Go to Page]
4.4.6.1 Sensitivity Assessment of Selected Configurations
4.5 Summary and Future Work [Go to Page]
4.5.1 Summary
4.5.2 Future Work
References
Chapter 5: Conclusions and Recommendations [Go to Page]
5.1 Major Conclusions
5.2 Major Remaining Research Gaps in RSB
References
Appendix A: On Correlation of Different Decision Variables
Appendix B: Sample Ranking of Generated SFLEs
Index [Go to Page]

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