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Reliability-Based Collapse Assessment of Wind-Excited Steel Structures within Performance-Based Wind Engineering
| 题名： | Reliability-Based Collapse Assessment of Wind-Excited Steel Structures within Performance-Based Wind Engineering |
| 正文语种： | eng |
| 作者： | Srinivasan Arunachalam;Seymour M. J. Spence |
| 作者单位： | Univ. of Michigan;Univ. of Michigan |
| 关键词： | Reliability analysis;Performance-based wind engineering;Inelastic wind response;Collapse assessment;Stochastic analysis |
| 摘要： | Abstract As inelastic design for wind is embraced by the engineering community, there is an increasing demand for computational tools that enable the investigation of the nonlinear behavior of wind-excited structures and subsequent development of performance criteria. To address this need, a probabilistic collapse assessment framework for steel structures is proposed in this paper. The framework is based on the integration of a high-fidelity fiber-based nonlinear structural modeling environment with a wind-tunnel-informed stochastic wind load model to perform nonlinear time history analysis. General uncertainty is propagated using a stratified sampling scheme enabling the efficient estimation of reliabilities associated with rare events. The adopted models for simulating high-fidelity nonlinear structural behavior were found, in general, to be adequate for capturing phenomena, including progressive yielding, buckling, and low-cycle fatigue, that are essential for wind induced collapse analysis. In particular, the adopted fatigue model was found to be capable of predicting damage and potential fiber/section fracture associated with non–fully reversing stress-strain cycles that are characteristic of wind loading. Through illustration on a 45-story archetype steel building, critical discussions on the types of observed collapse mechanisms, the difference between along-wind and across-wind nonlinear behavior, reliabilities associated with first yield, and collapse are presented. A probabilistic description of the residual and peak story drifts is also provided through development of fragility functions. |
| 出版年： | 2022 |
| 期刊名称： | Journal of structural engineering |
| 卷： | 148 |
| 期： | 9 |
| 页码： | 1-18 |
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