Numerical Statistic Approach for Peak Factor of Non-Gaussian Wind Pressure on Building Claddings
Wind-induced pressures on high-rise buildings claddings are mostly non-Gaussian distribution, and there is a one-to-one relationship between a specified guarantee rate and its corresponding peak factor. In this study, a stepwise search method for calculating the peak factor of non-Gaussian wind pres...
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| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/2918656 |
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| author | Tao Ye Ledong Zhu Zhongxu Tan |
| author_facet | Tao Ye Ledong Zhu Zhongxu Tan |
| author_sort | Tao Ye |
| collection | DOAJ |
| description | Wind-induced pressures on high-rise buildings claddings are mostly non-Gaussian distribution, and there is a one-to-one relationship between a specified guarantee rate and its corresponding peak factor. In this study, a stepwise search method for calculating the peak factor of non-Gaussian wind pressure and a gradual independent segmentation method for extracting independent peak values are proposed to determine the relationship accurately. Based on the pressure data of a high-rise building obtained from a rigid model wind tunnel test, the peak factors of non-Gaussian wind pressures on claddings are calculated and compared by using several typical methods. The value of the peak factor and its error rate calculated by several methods is compared with the observed average peak value, and the conversion between the guaranteed rate and the peak factor is discussed. Based on the reliability theory, the true distribution of wind pressure time history was approached infinitely through an efficient numerical method in the process of stepwise search. Compared with the classical Sadek–Simiu method, the proposed stepwise search method achieves improved overall accuracy and applicability. The non-Gaussian features are found to be prominent at leading edge airflow separation on the crosswind side, the leeward corner cuts, the windward corner cuts, and the junction of two leeward surfaces at 45° wind direction angle of square section. The junction of two leeward surfaces at 45° wind direction angle exhibits stronger non-Gaussian features than the crosswind surface at 0° wind direction angle. By giving the identical guarantee rate, the peak factors tend to be much larger in the regions with strong non-Gaussian properties and vice versa. |
| format | Article |
| id | doaj-art-6483a30c59bb4fa7b188e6347be56b54 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-6483a30c59bb4fa7b188e6347be56b542025-02-03T05:49:50ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/29186562918656Numerical Statistic Approach for Peak Factor of Non-Gaussian Wind Pressure on Building CladdingsTao Ye0Ledong Zhu1Zhongxu Tan2State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, ChinaState Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, ChinaState Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, ChinaWind-induced pressures on high-rise buildings claddings are mostly non-Gaussian distribution, and there is a one-to-one relationship between a specified guarantee rate and its corresponding peak factor. In this study, a stepwise search method for calculating the peak factor of non-Gaussian wind pressure and a gradual independent segmentation method for extracting independent peak values are proposed to determine the relationship accurately. Based on the pressure data of a high-rise building obtained from a rigid model wind tunnel test, the peak factors of non-Gaussian wind pressures on claddings are calculated and compared by using several typical methods. The value of the peak factor and its error rate calculated by several methods is compared with the observed average peak value, and the conversion between the guaranteed rate and the peak factor is discussed. Based on the reliability theory, the true distribution of wind pressure time history was approached infinitely through an efficient numerical method in the process of stepwise search. Compared with the classical Sadek–Simiu method, the proposed stepwise search method achieves improved overall accuracy and applicability. The non-Gaussian features are found to be prominent at leading edge airflow separation on the crosswind side, the leeward corner cuts, the windward corner cuts, and the junction of two leeward surfaces at 45° wind direction angle of square section. The junction of two leeward surfaces at 45° wind direction angle exhibits stronger non-Gaussian features than the crosswind surface at 0° wind direction angle. By giving the identical guarantee rate, the peak factors tend to be much larger in the regions with strong non-Gaussian properties and vice versa.http://dx.doi.org/10.1155/2021/2918656 |
| spellingShingle | Tao Ye Ledong Zhu Zhongxu Tan Numerical Statistic Approach for Peak Factor of Non-Gaussian Wind Pressure on Building Claddings Advances in Civil Engineering |
| title | Numerical Statistic Approach for Peak Factor of Non-Gaussian Wind Pressure on Building Claddings |
| title_full | Numerical Statistic Approach for Peak Factor of Non-Gaussian Wind Pressure on Building Claddings |
| title_fullStr | Numerical Statistic Approach for Peak Factor of Non-Gaussian Wind Pressure on Building Claddings |
| title_full_unstemmed | Numerical Statistic Approach for Peak Factor of Non-Gaussian Wind Pressure on Building Claddings |
| title_short | Numerical Statistic Approach for Peak Factor of Non-Gaussian Wind Pressure on Building Claddings |
| title_sort | numerical statistic approach for peak factor of non gaussian wind pressure on building claddings |
| url | http://dx.doi.org/10.1155/2021/2918656 |
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