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portada Empirical Seismic Vulnerability and Resilience Assessment of Building Clusters (Woodhead Publishing Series in Civil and Structural Engineering) (in English)
Type
Physical Book
Author
Language
English
Pages
622
Format
New
ISBN13
9780443216381
Edition No.
1

Empirical Seismic Vulnerability and Resilience Assessment of Building Clusters (Woodhead Publishing Series in Civil and Structural Engineering) (in English)

Si-Qi Li (Author) · Woodhead Publishing · Nuevo

Empirical Seismic Vulnerability and Resilience Assessment of Building Clusters (Woodhead Publishing Series in Civil and Structural Engineering) (in English) - Si-Qi Li

New Book

$ 216.02

$ 360.03

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  • Condition: New
Origin: United Kingdom (Import costs included in the price)
It will be shipped from our warehouse between Tuesday, July 16 and Friday, July 26.
You will receive it anywhere in United States between 1 and 3 business days after shipment.

Synopsis "Empirical Seismic Vulnerability and Resilience Assessment of Building Clusters (Woodhead Publishing Series in Civil and Structural Engineering) (in English)"

Empirical Seismic Vulnerability and Resilience Assessment of Building Clusters analyzes the seismic vulnerability analysis of 10 types of structures and studies and discusses the evaluation of structural damage using risk analysis and shaking table test methods. The book focuses on seismic vulnerabilities but does not consider the contribution of typical empirical structural seismic damage data to structural vulnerability assessment and prediction. In other words, the empirical data's role in regional seismic damage is omitted. It is recognized that the impact of earthquakes on large-scale areas is extensive, not only on a building but also on a group of buildings. This book is based on the research background of typical seismic damage characteristics of 11 types of engineering structures and is based on a large volume of pictures and data investigated by the author on-site. Characteristics of the vulnerability of various structures are analyzed, and measures and methods to improve the vulnerability of various structures are provided. Combined with probability risk, reliability, machine learning, and other means, vulnerability prediction and evaluation models are established, respectively, and the rationality of the models is verified by hundreds of on-site earthquake damage survey data. The above research and highlights are unique to this book, making it a key resource for academic researchers and practicing engineers in civil and seismic engineering, senior undergraduates, and graduate students.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Nuevo.

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