K. Krabbenhøft, A. Lyamin, S. Sloan
{"title":"Three-dimensional Mohr-Coulomb limit analysis using semidefinite programming","authors":"K. Krabbenhøft, A. Lyamin, S. Sloan","doi":"10.1002/CNM.1018","DOIUrl":null,"url":null,"abstract":"Recently, Krabbenhoft et al. (Int. J. Solids Struct. 2007; 44:1533–1549) have presented a formulation of the three-dimensional Mohr–Coulomb criterion in terms of positive-definite cones. The capabilities of this formulation when applied to large-scale three-dimensional problems of limit analysis are investigated. Following a brief discussion on a number of theoretical and algorithmic issues, three common, but traditionally difficult, geomechanics problems are solved and the performance of a common primal–dual interior-point algorithm (SeDuMi (Appl. Numer. Math. 1999; 29:301–315)) is documented in detail. Although generally encouraging, the results also reveal several difficulties which support the idea of constructing a conic programming algorithm specifically dedicated to plasticity problems. Copyright © 2007 John Wiley & Sons, Ltd.","PeriodicalId":51245,"journal":{"name":"Communications in Numerical Methods in Engineering","volume":"24 1","pages":"1107-1119"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/CNM.1018","citationCount":"127","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Numerical Methods in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/CNM.1018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 127
半定规划的三维莫尔库仑极限分析
最近,Krabbenhoft等人。J.固体结构。2007;(44:1533-1549)提出了一个正定锥的三维莫尔-库仑判据的公式。研究了该公式应用于大尺度三维极限分析问题时的能力。在对一些理论和算法问题进行了简短的讨论之后,解决了三个常见但传统上很困难的地质力学问题,并提出了一种常见的原对偶内点算法(SeDuMi)。号码。数学。1999;(29:301-315))有详细的记录。尽管总体上令人鼓舞,但结果也揭示了一些困难,这些困难支持构建专门用于塑性问题的二次规划算法的想法。版权所有©2007 John Wiley & Sons, Ltd
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