The modeling and estimation of the inelastic response of wind excited structures is attracting growing interest with the introduction of performance-based wind engineering. While frameworks based on direct integration have been widely adopted in earthquake engineering for estimating inelastic responses, the significantly longer duration of typical windstorms, as compared to seismic events, makes this approach extremely computationally challenging in the case of wind excited systems. This is especially true in the case of modern performance-based wind ngineering frameworks, which are based on probabilistic metrics estimated through simulation and therefore repeated evaluation of the system. This paper addresses this challenge through the development of a simulation framework based on dynamic shakedown theory. In particular, an efficient path-following algorithm is proposed for estimating not only the shakedown multipliers, but also the plastic strains and deformations associated with occurrence of the state of shakedown. The efficiency with which this information can be estimated for any given wind load time history enables the development of a simulation-based framework, driven by general stochastic wind load models, for the estimation of the system-level inelastic performance of the structure. The validity and practicality of the proposed framework is illustrated on a large-scale case study.
With the introduction of performance-based design (PBD) frameworks in wind engineering, inelastic/non-linear performance assessment is assuming an increasingly important role. Indeed, PBD approaches require the evaluation of building performance under various hazard levels, including structural behavior beyond the elastic limit. In seismic engineering, many methods have been developed for characterizing the inelastic behavior of the structure based on direct stepby-step integration , including specialized methods such as incremental dynamic analysis (IDA) . In the field of wind engineering however, the extremely long duration of typical windstorms effectively prevents the application of such computationally intensive methods, as they require non-linear dynamic integration over the entire load history. This computational hurdle becomes exasperated in applying modern performance-based wind engineering frameworks that are based on propagating uncertainty through the system using simulation methods that require the repeated evaluation of the system .
Publisher : ELSEVIER
By : Wei-Chu Chuang, Seymour M.J. Spence
File Information: English Language/ 14 Page / size: 2.06 MB
سال : ۱۳۹۷
ناشر : ELSEVIER
کاری از : وی چو چوانگ، سیمور M.J. اسپنس
اطلاعات فایل : زبان انگلیسی / 14 صفحه / حجم : MB 2.06
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