Upper bound limit analysis using simplex strain elements and second-order cone programming

被引:292
作者
Makrodimopoulos, A. [1 ]
Martin, C. M. [1 ]
机构
[1] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England
基金
英国工程与自然科学研究理事会;
关键词
limit analysis; upper bound; cohesive-frictional; finite element; optimization; conic programming;
D O I
10.1002/nag.567
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
In geomechanics, limit analysis provides a useful method for assessing the capacity of structures such as footings and retaining walls, and the stability of slopes and excavations. This paper presents a finite element implementation of the kinematic (or upper bound) theorem that is novel in two main respects. First, it is shown that conventional linear strain elements (6-node triangle, 10-node tetrahedron) are suitable for obtaining strict upper bounds even in the case of cohesive-frictional materials, provided that the element sides are straight (or the faces planar) such that the strain field varies as a simplex. This is important because until now, the only way to obtain rigorous upper bounds has been to use constant strain elements combined with a discontinuous displacement field. It is well known (and confirmed here) that the accuracy of the latter approach is highly dependent on the alignment of the discontinuities, such that it can perform poorly if an unstructured mesh is employed. Second, the optimization of the displacement field is formulated as a standard second-order cone programming (SOCP) problem. Using a state-of-the-art SOCP code developed by researchers in mathematical programming, very large example problems are solved with outstanding speed. The examples concern plane strain and the Mohr-Coulomb criterion, but the same approach can be used in 3D with the Drucker-Prager criterion, and can readily be extended to other yield criteria having a similar conic quadratic form. Copyright (c) 2006 John Wiley & Sons, Ltd.
引用
收藏
页码:835 / 865
页数:31
相关论文
共 50 条
[21]   Peak reduction in OFDM using second-order cone programming relaxation [J].
Beko, Marko ;
Dinis, Rui ;
Sendelj, Ramo .
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2014, :1-10
[22]   A homotopy method for nonlinear second-order cone programming [J].
Yang, Li ;
Yu, Bo ;
Li, YanXi .
NUMERICAL ALGORITHMS, 2015, 68 (02) :355-365
[23]   Stochastic second-order cone programming: Applications models [J].
Alzalg, Baha M. .
APPLIED MATHEMATICAL MODELLING, 2012, 36 (10) :5122-5134
[24]   Investigation and application of a second-order cone linearizing method to finite element upper bound solution [J].
Yang Feng ;
Yang Jun-sheng .
ROCK AND SOIL MECHANICS, 2013, 34 (02) :593-599
[25]   A New Method for Robust Beamforming Using Iterative Second-Order Cone Programming [J].
Liao, B. ;
Tsui, K. M. ;
Chan, S. C. .
2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012), 2012, :2569-2572
[26]   Pruning the ensemble of convolutional neural networks using second-order cone programming [J].
Guldogus, Buse Cisil ;
Abdullah, Abdullah Nazhat ;
Ali, Muhammad Ammar ;
Ozogur-Akyuz, Sureyya .
NEURAL NETWORKS, 2025, 189
[27]   Unpowered approach and landing trajectory planning using second-order cone programming [J].
Yan, Xiaodong ;
He, Lei .
AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 101
[28]   COMPUTATION OF LIMIT LOAD USING EDGE-BASED SMOOTHED FINITE ELEMENT METHOD AND SECOND-ORDER CONE PROGRAMMING [J].
Le, C. V. ;
Nguyen-Xuan, H. ;
Askes, H. ;
Rabczuk, T. ;
Nguyen-Thoi, T. .
INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2013, 10 (01)
[29]   A Second-Order Cone Programming Method for Multiuser Detection Problem [J].
Mu, Xuewen ;
Zhang, Yaling .
WIRELESS PERSONAL COMMUNICATIONS, 2011, 60 (02) :335-344
[30]   Solving Axisymmetric Stability Problems by Using Upper Bound Finite Elements, Limit Analysis, and Linear Optimization [J].
Chakraborty, Debarghya ;
Kumar, Jyant .
JOURNAL OF ENGINEERING MECHANICS, 2014, 140 (06)