原文传递
Data-Based Probabilistic Damage Estimation for Asphalt Shingle Roofing
| 题名： | Data-Based Probabilistic Damage Estimation for Asphalt Shingle Roofing |
| 其他题名： | ASTM.(2011)."Standard test method for wind resistance of asphalt shingles(uplift force/uplift resistance method)."D7158-11,West Conshohocken,PA. |
| 正文语种： | 英文 |
| 作者： | Guoqing Huang |
| 关键词： | Wind-induced damage;Asphalt shingle;Translation process model;Hermite polynomial model;Damage ratio;Neural network;Wind effects |
| 摘要： | Asphalt shingles on residential building roofs are susceptible to damage, and often blow off, during windstorms. The loss of shingles can also result in damage to the content in the interior of a residence by allowing the penetration of rain. This paper presents the databased probabilistic damage estimation procedure to predict wind-induced damage on asphalt shingle roofing, using wind pressure data from wind tunnel testing. First, the probability distribution of peak wind pressure over a certain period for pressure data associated with each measurement tap is estimated. Then, the failure probability of the shingle associated with each tap and the damage ratio for the entire roofing shall be determined. Finally, a neural network is adopted to predict the wind-induced damage ratio for asphalt roof shingles considering multiple contributing factors such as wind speed, wind angle of attack, building sizes, roof slope, and terrain roughness. |
| 出版年： | 2015 |
| 论文唯一标识： | P-26Y2015V141N12022 |
| 英文栏目名称： | Technical Papers |
| doi： | 10.1061/(ASCE)ST.1943-541X.0001300 |
| 期刊名称： | Journal of Structural Engineering |
| 拼音刊名(出版物代码)： | P-26 |
| 卷： | 141 |
| 期： | 12 |
| 页码： | 239-248 |
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