University of Illinois Urbana-Champaign

Stochastic Models for Dependent Load Processes

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

Content Files
SRS-489.pdf

Permalink

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

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
Date of Ingest
2009-10-27T19:43:28Z
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
Genre of Resource
Technical Report
Language
en
Permalink
http://hdl.handle.net/2142/14096
Sponsor(s)/Grant Number(s)
National Science Foundation Research Grant CME-79-18053

Owning Collections

Civil Engineering Studies: Structural Research Series PRIMARY