Form finding for complex structures using evolutionary structural optimization method

2005 ◽  
Vol 26 (1) ◽  
pp. 55-72 ◽  
Author(s):  
Y.M. Xie ◽  
P. Felicetti ◽  
J.W. Tang ◽  
M.C. Burry
2014 ◽  
Vol 915-916 ◽  
pp. 281-284
Author(s):  
Xing Guo Hu ◽  
He Ming Cheng

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.


2016 ◽  
Vol 846 ◽  
pp. 571-576 ◽  
Author(s):  
Hamed Seifi ◽  
Mike Xie ◽  
James O’Donnell ◽  
Nicholas Williams

The need to simplify the construction issues of complex structures leads to definition of SmartNodes project as a research which aims to confine the complexity of structure to a limited area (nodes) in order to decrease processing steps and labor intensity by application of additive manufacturing (AM) techniques. Bi-Directional Evolutionary Structural Optimization (BESO) is used to design efficient and elegant nodal connections of large scale spatial structures and minimise the volume of nodes to be printed and to ultimately replace welded, forged and cast connections by 3D printed connections. The prototypes discussed in this paper demonstrate BESO design process through two generic cases.


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