Stochastic Models for Dependent Load Processes

Wen, Y.K.; Pearce, H.T.

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https://hdl.handle.net/2142/14096 Copy

Description

Title

Stochastic Models for Dependent Load Processes

Author(s)

• Wen, Y.K.
• Pearce, H.T.

Issue Date

1981-03

Keyword(s)

• Extreme loads
• Load combination
• Poisson Delayed process
• Gauss-Markov sequence
• Bartlett-Lewis process

Abstract

Stochastic models for dependent loads and load effects are developed. The effects of stochastic dependencies on load combination and structural reliability are investigated in the context of summation of pulse processes in which occurrence time, intensity and duration are allowed to be correlated within each process and between processes. Approximate analytical solutions based on a load coincidence method are obtained and verified by Monte-Carlo simulations. It is found that while within load positive correlations may generally have only moderate effect on the combined load probability, between-load dependencies may be dominant factors and significantly increase the probability of threshold level being exceeded by the combined load.

Publisher

University of Illinois Engineering Experiment Station. College of Engineering. University of Illinois at Urbana-Champaign.

Series/Report Name or Number

Civil Engineering Studies SRS-489

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/14096

Sponsor(s)/Grant Number(s)

National Science Foundation Research Grant CME-79-18053

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