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.
Increases engineers’ theoretical and practical knowledge of field investigation1. 3.1: Introduction - p. 87 2. 3.2: Failure analysis of vertical and horizontal walls - p. 90 3. 3.3: Seismic damage mechanism and vulnerability assessment of tie columns - p. 93 4. 3.4: Vulnerability assessment of masonry structures considering multiple factors - p. 96 5. 3.5: Empirical vulnerability database and prediction model of regional masonry buildings - p. 96 6. 3.6: Masonry structure empirical vulnerability dataset - p. 106 7. 3.7: Conclusion - p. 139 8. Acknowledgments - p. 140 9. Funding - p. 140 10. Conflict of interest - p. 140 11. Chapter4 Seismic damage and resilience evaluation of bottom frame seismic wall masonry structures - p. 145 12. Chapter5 Empirical vulnerability assessment and prediction of adobe buildings - p. 181 13. 5.1: Introduction - p. 181 14. 5.2: Stock and distribution of adobe buildings - p. 185 15. 5.3: Typical failure characteristics and seismic capacity - p. 186 16. 5.4: Structural vulnerability assessment model based on historical inspection data - p. 190 17. 5.5: Case analysis of structural damage caused by typical earthquakes - p. 192 18. 5.6: Adobe building empirical vulnerability dataset - p. 202 19. 5.7: Conclusion - p. 247 20. Acknowledgments - p. 248 21. Funding - p. 248 22. Conflict of interest - p. 248 23. Chapter6 Damage features and resilience assessment of brick and wood structures - p. 253 24. 6.1: Introduction - p. 253 25. 6.2: Seismic damage of brick and wood structures in large-scale regions - p. 257 26. 6.3: Brick wall failure - p. 257 27. 6.4: Destruction characteristics of the wood frame system - p. 259 28. 6.5: Structural vulnerability and resilience assessment model based on the historical earthquake damage database - p. 260 29. 6.6: Brick and wood masonry structure empirical vulnerability dataset - p. 272 30. 6.7: Conclusion - p. 305 31. Acknowledgments - p. 305 32. Funding - p. 305 33. Conflict of interest - p. 306 34. Chapter 7 Assessment of actual seismic damage and resilience of wooden roof truss buildings - p. 311 35. Chapter8 Assessment of failure features of workshop buildings - p. 349 36. Chapter 9 Seismic vulnerability assessment of the composite material structure of earth and wood - p. 363 37. 9.1: Introduction - p. 363 38. 9.2: Stock and spatial distribution of the composite structure of adobe and timber - p. 367 39. 9.3: Failure analysis of the adobe wall - p. 367 40. 9.4: Damage mechanism of wood frame - p. 368 41. 9.5: Regional structure vulnerability database and assessment model - p. 371 42. 9.6: Composite material structure of the earth and wood empirical vulnerability dataset - p. 385 43. 9.7: Conclusion - p. 446 44. Acknowledgments - p. 446 45. Funding - p. 447 46. Conflict of interest - p. 447 47. Chapter 10 Vulnerability comparison of typical building clusters considering historical earthquake damage data - p. 453 48. 10.1: Introduction - p. 453 49. 10.2: Vulnerability matrix of typical buildings - p. 457 50. 10.3: Empirical vulnerability database - p. 467 51. 10.4: Comparison of vulnerability models with multidimensional damage parameters - p. 498 52. 10.5: Conclusion - p. 516 53. Acknowledgments - p. 517 54. Funding - p. 517 55. Conflict of interest - p. 517 56. Chapter 11 Vulnerability and resilience assessment of large-scale regional buildings - p. 523 57. 11.1: Introduction - p. 523 58. 11.2: Empirical vulnerability and resilience model of large-scale regional buildings - p. 527 59. 11.3: Case analysis - p. 536 60. 11.4: Vulnerability and resilience prediction model of building clusters in typical regions - p. 560 61. 11.5: Conclusion - p. 567 62. Acknowledgments - p. 567 63. Funding - p. 568 64. Conflict of interest - p. 568 65. Chapter 12 Empirical seismic vulnerability assessment model for regional bridge clusters - p. 573 66. Index - p. 599
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.
Increases engineers’ theoretical and practical knowledge of field investigation1. 3.1: Introduction - p. 87 2. 3.2: Failure analysis of vertical and horizontal walls - p. 90 3. 3.3: Seismic damage mechanism and vulnerability assessment of tie columns - p. 93 4. 3.4: Vulnerability assessment of masonry structures considering multiple factors - p. 96 5. 3.5: Empirical vulnerability database and prediction model of regional masonry buildings - p. 96 6. 3.6: Masonry structure empirical vulnerability dataset - p. 106 7. 3.7: Conclusion - p. 139 8. Acknowledgments - p. 140 9. Funding - p. 140 10. Conflict of interest - p. 140 11. Chapter4 Seismic damage and resilience evaluation of bottom frame seismic wall masonry structures - p. 145 12. Chapter5 Empirical vulnerability assessment and prediction of adobe buildings - p. 181 13. 5.1: Introduction - p. 181 14. 5.2: Stock and distribution of adobe buildings - p. 185 15. 5.3: Typical failure characteristics and seismic capacity - p. 186 16. 5.4: Structural vulnerability assessment model based on historical inspection data - p. 190 17. 5.5: Case analysis of structural damage caused by typical earthquakes - p. 192 18. 5.6: Adobe building empirical vulnerability dataset - p. 202 19. 5.7: Conclusion - p. 247 20. Acknowledgments - p. 248 21. Funding - p. 248 22. Conflict of interest - p. 248 23. Chapter6 Damage features and resilience assessment of brick and wood structures - p. 253 24. 6.1: Introduction - p. 253 25. 6.2: Seismic damage of brick and wood structures in large-scale regions - p. 257 26. 6.3: Brick wall failure - p. 257 27. 6.4: Destruction characteristics of the wood frame system - p. 259 28. 6.5: Structural vulnerability and resilience assessment model based on the historical earthquake damage database - p. 260 29. 6.6: Brick and wood masonry structure empirical vulnerability dataset - p. 272 30. 6.7: Conclusion - p. 305 31. Acknowledgments - p. 305 32. Funding - p. 305 33. Conflict of interest - p. 306 34. Chapter 7 Assessment of actual seismic damage and resilience of wooden roof truss buildings - p. 311 35. Chapter8 Assessment of failure features of workshop buildings - p. 349 36. Chapter 9 Seismic vulnerability assessment of the composite material structure of earth and wood - p. 363 37. 9.1: Introduction - p. 363 38. 9.2: Stock and spatial distribution of the composite structure of adobe and timber - p. 367 39. 9.3: Failure analysis of the adobe wall - p. 367 40. 9.4: Damage mechanism of wood frame - p. 368 41. 9.5: Regional structure vulnerability database and assessment model - p. 371 42. 9.6: Composite material structure of the earth and wood empirical vulnerability dataset - p. 385 43. 9.7: Conclusion - p. 446 44. Acknowledgments - p. 446 45. Funding - p. 447 46. Conflict of interest - p. 447 47. Chapter 10 Vulnerability comparison of typical building clusters considering historical earthquake damage data - p. 453 48. 10.1: Introduction - p. 453 49. 10.2: Vulnerability matrix of typical buildings - p. 457 50. 10.3: Empirical vulnerability database - p. 467 51. 10.4: Comparison of vulnerability models with multidimensional damage parameters - p. 498 52. 10.5: Conclusion - p. 516 53. Acknowledgments - p. 517 54. Funding - p. 517 55. Conflict of interest - p. 517 56. Chapter 11 Vulnerability and resilience assessment of large-scale regional buildings - p. 523 57. 11.1: Introduction - p. 523 58. 11.2: Empirical vulnerability and resilience model of large-scale regional buildings - p. 527 59. 11.3: Case analysis - p. 536 60. 11.4: Vulnerability and resilience prediction model of building clusters in typical regions - p. 560 61. 11.5: Conclusion - p. 567 62. Acknowledgments - p. 567 63. Funding - p. 568 64. Conflict of interest - p. 568 65. Chapter 12 Empirical seismic vulnerability assessment model for regional bridge clusters - p. 573 66. Index - p. 599
