Nonlinear dynamic analysis of wind pressure variability on standard tall building
Understanding the variability of wind pressure on tall building surfaces is of essential importance regarding the control of wind-induced response. In this study, advanced time series analysis techniques, e.g., phase space reconstruction and recurrence analysis, were applied to diagnose the wind pre...
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| Published in | Advances in structural engineering Vol. 26; no. 16; pp. 3112 - 3125 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
London, England
SAGE Publications
01.12.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1369-4332 2048-4011 |
| DOI | 10.1177/13694332231208247 |
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| Abstract | Understanding the variability of wind pressure on tall building surfaces is of essential importance regarding the control of wind-induced response. In this study, advanced time series analysis techniques, e.g., phase space reconstruction and recurrence analysis, were applied to diagnose the wind pressure variability from a nonlinear dynamic perspective. It is shown that, the wind pressure acting on tall building surfaces exhibit distinct chaotic nature. Due to the complex flow patterns around the building, the underlying dynamics of wind pressure is subject to pronounced region-to-region variability. For windward surface, the wind pressure dynamics at the stagnation region is more deterministic than those of downstream. For the side surfaces, the distribution of recurrence quantification analysis (RQA) indicators follows a clear pattern, where the values are larger at the near-front edge, and decreases towards the rear. The distribution of RQA indicators on the leeward surface is opposite to that of windward surface, in which larger values occur more often at near-ground level. Further upstream, the values are found to decrease. The outcomes provide valuable insights to the wind-structural interaction, thus could help wind-resistant design. |
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| AbstractList | Understanding the variability of wind pressure on tall building surfaces is of essential importance regarding the control of wind-induced response. In this study, advanced time series analysis techniques, e.g., phase space reconstruction and recurrence analysis, were applied to diagnose the wind pressure variability from a nonlinear dynamic perspective. It is shown that, the wind pressure acting on tall building surfaces exhibit distinct chaotic nature. Due to the complex flow patterns around the building, the underlying dynamics of wind pressure is subject to pronounced region-to-region variability. For windward surface, the wind pressure dynamics at the stagnation region is more deterministic than those of downstream. For the side surfaces, the distribution of recurrence quantification analysis (RQA) indicators follows a clear pattern, where the values are larger at the near-front edge, and decreases towards the rear. The distribution of RQA indicators on the leeward surface is opposite to that of windward surface, in which larger values occur more often at near-ground level. Further upstream, the values are found to decrease. The outcomes provide valuable insights to the wind-structural interaction, thus could help wind-resistant design. |
| Author | He, YH Liu, HM Chen, FB Shu, ZR |
| Author_xml | – sequence: 1 givenname: YH surname: He fullname: He, YH email: shuzhenru@csu.edu.cn organization: School of Civil Engineering – sequence: 2 givenname: ZR orcidid: 0000-0001-6903-0767 surname: Shu fullname: Shu, ZR email: shuzhenru@csu.edu.cn organization: School of Civil Engineering – sequence: 3 givenname: FB surname: Chen fullname: Chen, FB organization: School of Civil Engineering – sequence: 4 givenname: HM surname: Liu fullname: Liu, HM organization: School of Civil Engineering |
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| Keywords | surface wind pressure Commonwealth Advisory Aeronautical Research Council standard tall building phase space reconstruction nonlinear dynamic analysis recurrence analysis |
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