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The Karhunen-Loeve(KL) expansion and probabilistic collocation method(PCM)are combined and applied to an uncertainty analysis of rock failure behavior by integrating a selfdeveloped numerical method(i.e., the elastic-plastic cellular automaton(EPCA)). The results from the method developed are compared using the Monte Carlo Simulation(MCS) method. It is concluded that the method developed requires fewer collocations than MCS method to obtain very high accuracy and greatly reduces the computational cost. Based on the method, the elastoplastic and elasto-brittle-plastic analyses of rocks under mechanical loadings are conducted to study the uncertainty in heterogeneous rock failure behaviour.
The Karhunen-Loeve (KL) expansion and probabilistic collocation method (PCM) are combined and applied to an uncertainty analysis of rock failure behavior by integrating a selfdeveloped numerical method (ie, the elastic-plastic cellular automaton (EPCA)). The results from the method developed are compared to the Monte Carlo Simulation (MCS) method. It is that that method developed need more collocations than MCS method to obtain very high accuracy and substantially reduces the computational cost. Based on the method, the elastoplastic and elasto- brittle-plastic analyzes of rocks under mechanical loadings are conducted to study the uncertainty in heterogeneous rock failure behavior.