<span>Learn a critical earthquake engineering discipline</span><span><br>Probabilistic Seismic Hazard and Risk Analyses underpin the loadings prescribed by engineering design codes, the decisions by asset owners to retrofit structures, the pricing of insurance policies, and many other activities. Th
Seismic Hazard and Risk Analysis
β Scribed by Jack Baker, Brendon Bradley, Peter Stafford
- Publisher
- Cambridge University Press
- Year
- 2022
- Tongue
- English
- Leaves
- 595
- Edition
- New
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Learn a critical earthquake engineering discipline
Probabilistic Seismic Hazard and Risk Analyses underpin the loadings prescribed by engineering design codes, the decisions by asset owners to retrofit structures, the pricing of insurance policies, and many other activities. This is a comprehensive overview of the principles and procedures behind seismic hazard and risk analysis. It enables readers to understand best practises and future research directions. Early chapters cover the essential elements and concepts of seismic hazard and risk analysis, while later chapters shift focus to more advanced topics. Each chapter includes worked examples and problem sets for which full solutions are provided online. Appendices provide relevant background in probability and statistics. Computer codes are also available online to help replicate specific calculations and demonstrate the implementation of various methods.
Β
Who is this for?
This book is a valuable reference for upper level students and practitioners in civil engineering, and earth scientists interested in engineering seismology.
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What is included?
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Twelve Chapters:
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- Introduction
- Seismic Source Characterization
- Characterization of Earthquake Rates & Rupture Scenarios
- Empirical Ground-Motion Characterization
- Physics-Based Ground-Motion Characterization
- PSHA Calculation
- PSHA Products
- Non-Ergodic Hazard Analysis
- Seismic Risk
- Ground-motion Selection
- Spatially Distributed Systems
- Validation
Two Appendices: Β
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- Basics of Probability
- Basics of Statistics for Model Calibration
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