Simulation of correlated non-Gaussian pressure fields

被引:38
作者
Gurley, K [1 ]
Kareem, A
机构
[1] Univ Florida, Dept Civil Engn, Gainesville, FL 32611 USA
[2] Univ Notre Dame, Dept Civil Engn & Geol Sci, Notre Dame, IN 46556 USA
基金
美国国家科学基金会;
关键词
Monte Carlo simulation; multi-variate random processes; memoryless transformation; wind engineering; structural dynamics;
D O I
10.1023/A:1004315618217
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Among a host of techniques developed for the analysis and prediction of nonlinear structural response, simulation methods are gaining popularity as computational efficiency increases. Implementation of time domain methods require simulated load time histories with case-specific statistical and spectral characteristics. When the assumption of Gaussian wind loading is inappropriate, techniques for simulating non-Gaussian loading must be sought. Over a larger expanse of building surface, simulation of correlated loads at several spatially separated locations is required. This work introduces a multi-variate non-Gaussian simulation method capable of producing realizations with a wide range of spectral and probabilistic characteristics. The correlation between multiple locations is accurately simulated simultaneously, while retaining the appropriate spectral and probabilistic content at each location.
引用
收藏
页码:309 / 317
页数:9
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