期刊
PROBABILISTIC ENGINEERING MECHANICS
卷 27, 期 1, 页码 19-28出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.probengmech.2011.05.004
关键词
Physical stochastic modeling; Fluctuating wind speed; Probability density evolution method; Nonlinear structure
资金
- National Natural Science Foundation of China [90715083, 10872148]
- National Hi-Tech Development Plan (863 Plan) [2008AA05Z413]
- MOE of China
- State Key Laboratory of Disaster Reduction in Civil Engineering [SLDRCE08-A-01, SLDRCE10-B-02]
The concepts of abstract function and random function for the description of stochastic processes are first revisited. Basic thought of physical stochastic processes is then delineated. In contrast to the traditional modeling, where the measured data are statistically analyzed to obtain second-order characteristics, e.g. covariance function or power spectral density, in the present framework the physical background/mechanism of stochastic dynamic excitations is first studied and used as a basis to construct a random function of basic random variables, of which the probability information is then identified via measured data. Modeling of fluctuating wind speed process via physical stochastic model is exemplified. Stochastic response analysis and reliability evaluation of a nonlinear structure by incorporating the physical stochastic model of wind excitation into the probability density evolution method are implemented. Investigation results validate the proposed approach. (C) 2011 Elsevier Ltd. All rights reserved.
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