Probability Model of Load Exceedances under Cyclic Loadings

by Karen C. Chou, Syracuse Univ, Syracuse, United States,

Abstract: A probability model for nonlinear load exceedances subjected to a Poisson process with reversible cyclic load pulses was developed and is presented in this paper. A reversible cyclic load models are those load processes which may have bidirectional loadings such as earthquake loads, thermal loads or wind loads. The load deformation relationship used in the study was assumed to be bilinear with the unloading parallel to the initial loading path and the compressive properties being the same as tensile. A probability mass function for the load exceedances was developed based on a Markov process. Good agreements were found between the probability model developed and the histograms computed based on simulated load processes.

Subject Headings: Cyclic loads | Thermal loads | Wind loads | Seismic loads | Markov process | Materials processing | Thermal analysis

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