Reliability of Linear Systems Subjected to Wind LoadsSource: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2016:;Volume ( 002 ):;issue: 002DOI: 10.1061/AJRUA6.0000834Publisher: American Society of Civil Engineers
Abstract: Probabilistic models for wind loads are developed and used to estimate the properties of the responses of linear systems. This analysis involves four steps. First, along-wind, across-wind forces, and torque are represented as polynomials of turbulence fluctuations and wake excitations, which are assumed to be stationary Gaussian processes. Second, two types of models are provided, namely, the empirical model and the mathematical model, for the second-moment properties of the turbulence fluctuations and wake excitations so that the probability law of the wind loads is characterized completely. Proposed models are then calibrated to the experimental observations. Third, the mathematical model provides an efficient method to estimate the response properties relative to Monte Carlo simulation. The responses are modeled by translation processes that match the target second-moment properties and marginal distributions of the responses. Fourth, the response properties that are of interest, e.g., the mean rates at which the responses exit the safe set, are calculated from the resulting translation processes. This procedure is illustrated by one numerical example.
|
Collections
Show full item record
contributor author | H. Zhao | |
contributor author | M. Grigoriu | |
date accessioned | 2017-05-08T22:30:12Z | |
date available | 2017-05-08T22:30:12Z | |
date copyright | June 2016 | |
date issued | 2016 | |
identifier other | 47180813.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/81667 | |
description abstract | Probabilistic models for wind loads are developed and used to estimate the properties of the responses of linear systems. This analysis involves four steps. First, along-wind, across-wind forces, and torque are represented as polynomials of turbulence fluctuations and wake excitations, which are assumed to be stationary Gaussian processes. Second, two types of models are provided, namely, the empirical model and the mathematical model, for the second-moment properties of the turbulence fluctuations and wake excitations so that the probability law of the wind loads is characterized completely. Proposed models are then calibrated to the experimental observations. Third, the mathematical model provides an efficient method to estimate the response properties relative to Monte Carlo simulation. The responses are modeled by translation processes that match the target second-moment properties and marginal distributions of the responses. Fourth, the response properties that are of interest, e.g., the mean rates at which the responses exit the safe set, are calculated from the resulting translation processes. This procedure is illustrated by one numerical example. | |
publisher | American Society of Civil Engineers | |
title | Reliability of Linear Systems Subjected to Wind Loads | |
type | Journal Paper | |
journal volume | 2 | |
journal issue | 2 | |
journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
identifier doi | 10.1061/AJRUA6.0000834 | |
tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2016:;Volume ( 002 ):;issue: 002 | |
contenttype | Fulltext |