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  • 标题:A refined cellular automata method for predicting failure patterns of masonry wall panels
  • 本地全文:下载
  • 作者:Pengcheng Li ; Pengcheng Li ; Xiuli Ma
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:233
  • 期号:2
  • 页码:022037
  • DOI:10.1088/1755-1315/233/2/022037
  • 出版社:IOP Publishing
  • 摘要:In view of the inaccuracy of the existing cellular automata (CA) technique in predicting failure patterns of masonry wall panels, this paper proposed a refined CA method which contains two measures to promote the precision of results. The optimization of matching criterion based on Taylor expansion updates the definition of state values for the CA model of wall panels and improves the accuracy of predicting the failure patterns of wall panels with opening. Besides, the post-processing of noise reduction explains the discontinuity of cracks in wall panels from the perspective of noise based on two proposed theorems, which improves the prediction of the failure patterns in appearance, continuity and clarity of cracks. Meanwhile, the difference functions and similarity of wall panels are introduced to evaluate the predicting results. Moreover, the combination of two measures shows the brilliant capacity in enhancing the accuracy and efficiency of prediction.
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