A Simple Genetic Algorithm for Calibration of Stochastic Rock Discontinuity Networks

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• 作者：R. Jimenez (1) rafael.jimenez@upm.es
  R. Jurado-Pi帽a (1)
• 关键词：Fracture network &#8211 ; Discontinuity size &#8211 ; Discontinuity intensity &#8211 ; Poisson disk model
• 刊名：Rock Mechanics and Rock Engineering
• 出版时间：July 2012
• 出版年：2012
• 期刊代码：131_0723-2632
• 类别：en
• 卷：45
• 期：4
• 页码：461-473
• 数据来源：sp

摘要

We present a novel approach for calibration of stochastic discontinuity network parameters based on genetic algorithms (GAs). To validate the approach, examples of application of the method to cases with known parameters of the original Poisson discontinuity network are presented. Parameters of the model are encoded as chromosomes using a binary representation, and such chromosomes evolve as successive generations of a randomly generated initial population, subjected to GA operations of selection, crossover and mutation. Such back-calculated parameters are employed to make assessments about the inference capabilities of the model using different objective functions with different probabilities of crossover and mutation. Results show that the predictive capabilities of GAs significantly depend on the type of objective function considered; and they also show that the calibration capabilities of the genetic algorithm can be acceptable for practical engineering applications, since in most cases they can be expected to provide parameter estimates with relatively small errors for those parameters of the network (such as intensity and mean size of discontinuities) that have the strongest influence on many engineering applications.