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盾构隧道抗震韧性评估理论方法(英文版)(精)

盾构隧道抗震韧性评估理论方法(英文版)(精)

  • 字数: 391
  • 出版社: 中国建筑工业
  • 作者: 包小华//沈俊//陈湘生//崔宏志|
  • 商品条码: 9787112309740
  • 适读年龄: 12+
  • 版次: 1
  • 开本: 16开
  • 页数: 246
  • 出版年份: 2025
  • 印次: 1
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内容简介
This book is the result of years of research on the seismic resilience of shield tunnels conducted by the authors and their research team, supported by National Key Research and Development Program of China (2022YFC3800900) and Key Program of the national Natural Science Foundation of China (52090084). The content covered in this book is both highly practical and innovative, aligning with China''s innovation-driven development strategy. The book consists of eight chapters: Chapter 1: Introduction; Chapter 2: Seismic resilience of shield tunnels; Chapter 3: Seismic resilience assessment of shield tunnels considering lining degradation; Chapter 4: Seismic resilience assessment of shield tunnels considering preload loss; Chapter 5: Seismic resilience assessment of shield tunnels considering contact loss defect; Chapter 6: Seismic resilience assessment considering the near-neighboring structures; Chapter 7: Multi-indicator seismic resilience assessment of shield tunnels based on fuzzy cloud; Chapter 8: Seismic resilience assessment through interdependence of multiple damage indicators. This book is intended for researchers and engineering professionals in the field of tunnel engineering, providing valuable insights into seismic resilience assessment and design methodologies for shield tunnels.
目录
Chapter 1 Introduction Chapter 2 Seismic resilience of shield tunnels Chapter 3 Seismic resilience assessment of shield tunnels considering lining degradation Chapter 4 Seismic resilience assessment of shield tunnels considering preload loss Chapter 5 Seismic resilience assessment of shield tunnels considering contact loss defect Chapter 6 Seismic resilience assessment considering the near-neighboring structures Chapter 7 Multi-indicator seismic resilience assessment of shield tunnels based on fuzzy cloud Chapter 8 Seismic resilience assessment through interdependence of multiple damage indicators Conclusion and prospect

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