scholarly journals A parallel nodal-based evolutionary structural optimization algorithm

2002 ◽  
Vol 23 (3) ◽  
pp. 241-251 ◽  
Author(s):  
Y.-M. Chen ◽  
A. Bhaskar ◽  
A. Keane
2013 ◽  
Vol 438-439 ◽  
pp. 445-450 ◽  
Author(s):  
Xiao Lei Yan ◽  
Xiao Dong Huang ◽  
Yi Min Xie

Different from the independent optimization of macrostructures or materials, a two-scale topology optimization algorithm is developed in this paper based on the bi-directional evolutionary structural optimization (BESO) method for concurrently designing a macrostructure and its composite microstructure. The objective is to minimize the mean compliance of the structure which is composed of a two-phase composite. The effective properties of the composite are calculated through the homogenization method and integrated into the finite element analysis of the structure. Sensitivity analysis for the structure and microstructure is conducted by the adjoint method. Based on the derived sensitivity numbers, the BESO approach is applied for iteratively updating the topologies for both the structure at the macro level and the microstructure of composite at the micro level. Numerical examples are presented to validate the effectiveness of the proposed optimization algorithm.


2021 ◽  
Vol 147 (10) ◽  
pp. 04021164
Author(s):  
Gérard Jacques Poitras ◽  
Gabriel Cormier ◽  
Armel Stanislas Nabolle

2012 ◽  
Vol 204-208 ◽  
pp. 4422-4428
Author(s):  
Da Ke Zhang ◽  
Wen Pan Zhang ◽  
Han He ◽  
Chong Wang

The efficiency of the element removal or addition is of significance for evolutionary structural optimization (ESO) process. The key is to find an appropriate rejection criterion (RC) which allows to assess the contribution of each element to the specified behavior(stress, stiffness, displacement, etc.)of the structure, and to subsequently remove elements with least contribution. This paper proposed a varying elements removal ratio (VERR) method which uses a larger ERR (Element Rejection Ratio) value at early iterations where exist a lot of redundant material, and decreases the value of ERR in the optimal process to lessen the number of elements removed at later iterations. Meanwhile, this paper proposed a strategy for element addition based on stress level and the contribution of elements to the structure in order to decide which elements should be added to the model and the sequence of the element addition. With the proposed VERR and the strategy, the optimization procedure of the structure evolves more quickly and smoothly.


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