Wind Hazard Risk Assessment and Management for Structures

More documents

Recommendations

Info

List of Tables 1.1 The five costliest U.S. hurricanes, 1900-2006. . . . . . . . . . . . . . . . . . 2 1.2 Saffir-Simpson hurricane damage potential scale. . . . . . . . . . . . . . . . 4 1.3 Building classification by Minor and Mehta (1979). . . . . . . . . . . . . . . 5 2.1 Probability distribution of tropical cyclone parameters. . . . . . . . . . . . . 18 2.2 Percentage of simulated wind records by track location. . . . . . . . . . . . 32 2.3 Probabilities of failure of four component limit states . . . . . . . . . . . . . 34 3.1 Statistics of structural component resistance. . . . . . . . . . . . . . . . . . 44 3.2 Statistics of external pressure coefficient. . . . . . . . . . . . . . . . . . . . . 46 4.1 Example parameters of a residential structure’s geometry. . . . . . . . . . . 73 4.2 Limit states of structural components. . . . . . . . . . . . . . . . . . . . . . 75 4.3 Properties of debris objects. . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 5.1 Expected total discounted repair costs and maximum maintenance cost in two different climate change scenarios. . . . . . . . . . . . . . . . . . . . . . 111 5.2 Gumbel distribution parameters of four different geographic locations with similar 50-year wind speed. . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 xiv
1.1 Overview Chapter 1 Introduction Death and injuries in windstorms are relatively low compared to the casualty rates in other natural disasters, due to the predictability of extreme winds. However, the relative low number of casualties does not sufficiently reflect the massive destructiveness of extreme winds. Windstorm (including tropical cyclone, tornado and thunderstorm) is the most costly type of natural disaster in the United states in recent decades (EM-DAT, 2010). Hurricane Andrew, which caused an insured loss of $16.5 billion in 1992, deeply impacted the insurance industry. Twelve insurers bankrupted and most of the catastrophe capital in the world reinsurance market is depleted (Malmquist and Michaels, 2000). In 2005, Hurricane Katrina caused $81 billion of property damage (Blake et al., 2007) and $40.6 billion of insured loss (Knabb et al., 2005). Table 1.1 (Blake et al., 2007) lists the five costliest United States hurricanes. In light of the recent massive amounts of damage caused by tropical cyclones, wind- related vulnerability of structures has received increasing attention in the research field. Traditionally, structural damage caused by extreme winds is approximated by some em- 1
Page 1 and 2: Wind Hazard Risk Assessment and Man
Page 3 and 4: Abstract Rising hurricane damages o
Page 5 and 6: me, has given me countless fun time
Page 7 and 8: CONTENTS vii 2.2.4 Mean Boundary La
Page 9 and 10: CONTENTS ix 5.3 Hazard model . . .
Page 11 and 12: LIST OF FIGURES xi 3.4 Distribution
Page 13: LIST OF FIGURES xiii 5.12 Examples
Page 17 and 18: Chapter 1. Introduction 3 fessions
Page 19 and 20: Chapter 1. Introduction 5 Table 1.3
Page 21 and 22: Chapter 1. Introduction 7 Between 7
Page 23 and 24: 1.2.4 Recent Developments Chapter 1
Page 25 and 26: Chapter 1. Introduction 11 of low-r
Page 27 and 28: Chapter 2 Structural Components and
Page 29 and 30: Chapter 2. Structural Components an
Page 31 and 32: (deg) V (m/s) 60 40 20 0 180 90 0 9
Page 49 and 50: NEGATIVE WALL PRESSURE (COV = 0.509
Page 55 and 56: Chapter 3. Internal Pressure in Low
Page 61 and 62: design guidelines. Chapter 3. Inter
Page 63 and 64: 3.4.3 Eurocode Chapter 3. Internal
Page 65 and 66:
Chapter 3. Internal Pressure in Low
Page 67 and 68:
Wind Speed & Wind Direction Chapter
Page 69 and 70:
(a) STEP 1 STEP 2 STEP 3 (b) STEP 1
Page 71 and 72:
Page 73 and 74:
Page 75 and 76:
Mean Loss Ratio WITHOUT WINDBORNE D
Page 77 and 78:
Maximum Percentage Increase in Mean
Page 79 and 80:
Page 81 and 82:
3.8 Discussion Chapter 3. Internal
Page 83 and 84:
Chapter 4 Integrated Multi-Structur
Page 85 and 86:
Chapter 4. Integrated Multi-Structu
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95 and 96:
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
LEGEND Roof sheathing onnection ind
Page 103 and 104:
Page 105 and 106:
DAMAGE ANALYIS USING MAXIMUM WIND V
Page 107 and 108:
Page 109 and 110:
Chapter 5. Long-Term Risk Assessmen
Page 111 and 112:
Page 113 and 114:
Page 115 and 116:
Page 117 and 118:
Page 119 and 120:
(a) Change in Mean Frequency / Year
Page 121 and 122:
(a) Change in Mean Frequency / Year
Page 123 and 124:
Page 125 and 126:
Page 127 and 128:
Page 129 and 130:
simulated. Chapter 5. Long-Term Ris
Page 131 and 132:
Percentage Change in Mean Frequency
Page 133 and 134:
Expected Total Structural Damage Co
Page 135 and 136:
Structural Damage Ratio 1 0.9 0.8 0
Page 137 and 138:
Chapter 6 Conclusions and Future Wo
Page 139 and 140:
Chapter 6. Conclusions and Future W
Page 141 and 142:
Chapter 6. Conclusions and Future W
Page 143 and 144:
Bibliography American Meteorologica
Page 145 and 146:
BIBLIOGRAPHY 131 Federal Emergency
Page 147 and 148:
BIBLIOGRAPHY 133 over the gulf of S
Page 149 and 150:
BIBLIOGRAPHY 135 Lin, N., Vanmarcke
Page 151 and 152:
BIBLIOGRAPHY 137 Rosowsky, D. and C
Page 153:
BIBLIOGRAPHY 139 Vanmarcke, E., Lin
show all

Wind Hazard Risk Assessment and Management for Structures

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?