@Article{icces.2023.09096,
AUTHOR = {Wenjun Chen, Yingjun Wang},
TITLE = {Multi-Scale Topology Optimization Method Considering Multiple  Structural Performances},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {27},
YEAR = {2023},
NUMBER = {3},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v27n3/55161},
ISSN = {1933-2815},
ABSTRACT = {The rapid development of topology optimization has given birth to a large amount of different topology 
optimization methods, and each of them can manage a class of corresponding engineering problems. 
However, structures need to meet a variety of requirements in engineering application, such as 
lightweight and multiple load-bearing performance. To design composite structures that have multiple 
structural properties, a new multi-scale topology optimization method considering multiple structural 
performances is proposed in this paper. Based on the fitting functions of the result set and the bisection 
method, a new method to determine the weight coefficient is proposed in this paper, which can shorten 
the gap between the optimized results and the design requirement. Several numerical examples are 
proposed to demonstrate practicality of the proposed method. To further explore the performance of the 
proposed method, the numerical examples are carried out considering two different objective functions.
The results show that the proposed method is effective and practical in both the situation of the multiobjective functions. The proposed method provides the structures with a larger result set, where the result 
points have different macroscopic properties comparing with the single-scale situations. This method is 
with high efficiency and convenient implementation.},
DOI = {10.32604/icces.2023.09096}
}