Bi-Directional Evolutionary Structural Optimization Method

2010 ◽  
pp. 17-38 ◽  
Keyword(s):  
Structural Optimization ◽  
Optimization Method ◽  
Evolutionary Structural Optimization

scholarly journals Improved Bi-Direction Evolutionary Structural Optimization Method and Its Application

2021 ◽  
Vol 632 ◽  
pp. 042032
Author(s):  
Jialei Zhu ◽  
Xiaodong Liang ◽  
Shuai Shao ◽  
Yongdong Bi ◽  
Runze Miao
Keyword(s):  
Structural Optimization ◽  
Optimization Method ◽  
Evolutionary Structural Optimization

Truss Optimization Based on the Evolutionary Structural Optimization

2014 ◽  
Vol 915-916 ◽  
pp. 281-284
Author(s):  
Xing Guo Hu ◽  
He Ming Cheng
Keyword(s):  
Structural Optimization ◽  
Stress Ratio ◽  
Optimization Method ◽  
Truss Optimization ◽  
Ratio Method ◽  
Engineering Optimization ◽  
Structural Topology ◽  
Evolutionary Structural Optimization ◽  
Optimization Principle ◽  
Topology Optimization Method

The Evolutionary Structural Optimization (ESO) as an important structural topology optimization method has been widely used in many fields of engineering optimization. However, due to some technical constraints, the use of ESO for the truss optimization is relatively less. A method for truss optimization that combines the ESO method and the Stress Ratio method is proposed in this paper. This method solves the problems of ESO for truss optimization that the sectional area of bars cannot be changed and the speed of optimization cannot be easily controlled. It can be widely used in truss optimization and can get the same good result as other methods (such as GA and SA, etc.). Furthermore, the method proposed in this paper has the advantage that it can be easily programmed in the commercial software (such as Ansys and Abaqus, etc.) owing to its relatively simple optimization principle.

Improvement of Evolutionary Structural Optimization Method for 2-D Model

2013 ◽  
Vol 380-384 ◽  
pp. 1409-1413
Author(s):  
Xiao Ming Chen ◽  
Xi De Lai ◽  
Xiang Zhang ◽  
Wei Song ◽  
Zhen Lu
Keyword(s):  
Approximation Algorithm ◽  
Structural Optimization ◽  
Optimization Method ◽  
The Other ◽  
Performance Parameters ◽  
Rejection Ratio ◽  
Evolutionary Structural Optimization ◽  
Optimum Solution ◽  
D Model ◽  
Interval Approximation

Which the distortion elements appear in the optimization process and the result may be a partial optimum solution are two disadvantages when using the ESO method to optimize 2-D model. In this paper, two algorithms are proposed for solving these disadvantages. One is filtering and deleting algorithm based on the traits of distortion elements. Using this algorithm, only one parameter is needed to control filtering and deleting, and the parameter is determined by the number of elements linked around distortion elements. The other is interval approximation algorithm. Minimum initial rejection ratio RR0min which fulfills removal criterion was ascertained by using this algorithm and it was used as starting value. Thus other initial erasure rate RR0 were obtained by setting a certain increment. Two algorithms mentioned above were implanted into the existing ESO method. Then optimizing respectively with different initial removal rates which were obtained before and the available structures from the results were filtered out in terms of performance parameters. The results of optimization for 2-D structures indicate that the improved ESO method has better suitability and stability than the existing one, and it avoids shortcoming that the results may be a partial optimum solution when using the existing ESO method.

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