An adaptive mesh-free approach is developed to compute the lower bounds of limit loads in plane strain soil mechanics problems. There is no pre-defined connectivity between nodes in the mesh-free techniques and this property facilitates the implementation of h-adaptivity. Nodes may be added, moved or discarded without complex changes in the data structures involved. In this regard, the Shepard mesh-free method is used in conjunction with the nodal stress rate smoothing technique and the lower bound limit analysis theory to establish a non-linear optimization problem. This problem is solved by second order cone programming technique and the result is a stress field that satisfied the lower bound requirements in non-rigorous manner. The lack of rigorousness arises from relaxation during nodal stress rate smoothing process. An error estimator is introduced by the application of Taylor series expansion and, by controlling the local error via a user-defined tolerance, the adaptive refinement strategy has been established. To demonstrate the effectiveness of proposed method, the procedure is applied to the examples of purely cohesive and cohesive-frictional soils.
Binesh,S M and Rasekh,S . (2017). Adaptive mesh-free lower bound limit analysis using non-linear programming. Scientia Iranica, 24(6), 2793-2802. doi: 10.24200/sci.2017.4163
MLA
Binesh,S M , and Rasekh,S . "Adaptive mesh-free lower bound limit analysis using non-linear programming", Scientia Iranica, 24, 6, 2017, 2793-2802. doi: 10.24200/sci.2017.4163
HARVARD
Binesh S M, Rasekh S. (2017). 'Adaptive mesh-free lower bound limit analysis using non-linear programming', Scientia Iranica, 24(6), pp. 2793-2802. doi: 10.24200/sci.2017.4163
CHICAGO
S M Binesh and S Rasekh, "Adaptive mesh-free lower bound limit analysis using non-linear programming," Scientia Iranica, 24 6 (2017): 2793-2802, doi: 10.24200/sci.2017.4163
VANCOUVER
Binesh S M, Rasekh S. Adaptive mesh-free lower bound limit analysis using non-linear programming. Scientia Iranica. 2017;24(6):2793-2802. doi: 10.24200/sci.2017.4163