Non-probabilistic robust continuum topology optimization with stress constraints

2018 ◽  
Vol 59 (4) ◽  
pp. 1181-1197 ◽  
Author(s):  
Gustavo Assis da Silva ◽  
Eduardo Lenz Cardoso ◽  
André Teófilo Beck
2020 ◽  
Vol 62 (4) ◽  
pp. 1639-1668
Author(s):  
Fernando V. Senhora ◽  
Oliver Giraldo-Londoño ◽  
Ivan F. M. Menezes ◽  
Glaucio H. Paulino

2008 ◽  
Author(s):  
Fernando V. Stump ◽  
Emílio C. N. Silva ◽  
Glaucio H. Paulino ◽  
Glaucio H. Paulino ◽  
Marek-Jerzy Pindera ◽  
...  

Author(s):  
Meisam Takalloozadeh ◽  
Krishnan Suresh

The objective of this paper is to demonstrate a topology optimization method subject to displacement and stress constraints. The method does not rely on pseudo-densities; instead it exploits the concept of topological level-set where ‘partial’ elements are avoided. Consequently: (1) the stresses are well-defined at all points within the evolving topology, and (2) the finite-element analysis is robust and efficient. Further, in the proposed method, a series of topologies of decreasing volume fractions are generated in a single optimization run. The method is illustrated through numerical experiments in 2D.


Author(s):  
J París ◽  
S Martínez ◽  
F Navarrina ◽  
I Colominas ◽  
M Casteleiro

2013 ◽  
Vol 2013 ◽  
pp. 1-18
Author(s):  
Tie Jun ◽  
Sui Yun-kang

This paper concentrates on finding the optimal distribution for continuum structure such that the structural weight with stress constraints is minimized where the physical design domain is discretized by finite elements. A novel Independent-Continuous-Mapping (ICM) method is proposed to convert equivalently the binary design variables which is used to indicate material or void in the various elements to independent continuous design variables. Moreover, three smooth mappings about weight, stiffness, and stress of the structural elements are introduced to formulate the objective function based on the so-called concepts of polish function and weighting filter function. A new general continuous approach for topology optimization is given which can eliminate the stress singularity phenomena more efficiently than the traditionalε-relaxation method, and an alternative strain energy method for the stress constraints is proposed to overcome the difficulty in stress sensitivity analyses. Mathematically, by means of a generalized aggregation KS-like function defined as the parabolic aggregation function, a topology optimization model is formulated with the weight objective and single parabolic global strain energy constraints. The numerical examples demonstrate that the proposed methods effectively remove the stress concentrations and generate black-and-white designs for practically sized problems.


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