Bi-Directional Evolutionary Structural Optimization Method with Draw Direction Constraints

2013 ◽  
Vol 420 ◽  
pp. 346-351
Author(s):  
Tien Tung Chung ◽  
Jia Pei Wang ◽  
Yan Zuo Chen ◽  
Ta Chuan Liu
Keyword(s):  
Structural Optimization ◽  
Mechanical Design ◽  
Optimization Method ◽  
Optimized Design ◽  
Design Problems ◽  
Closed Cavity ◽  
Evolutionary Structural Optimization ◽  
Draw Direction ◽  
Beso Method ◽  
Element Removal

This paper proposes a new bi-directional evolutionary structural optimization (BESO) method with draw direction constraints. Draw direction constraints, defined by required manufacturing process, are achieved by modifying element removal/addition criteria such that elements are removed from the top surface of the draw direction to the inner design domain. The optimized design with draw direction constraints is free from hollow or closed cavity geometries which are infeasible for manufacturing. A stiffness design of a motor front cover is carried out to show the ability of the proposed method in practical mechanical design problems.

Reinventing the Wheel

2011 ◽  
Vol 133 (2) ◽  
Author(s):  
Zhi Hao Zuo ◽  
Yi Min Xie ◽  
Xiaodong Huang
Keyword(s):  
Structural Optimization ◽  
Periodic Structure ◽  
Mechanical Design ◽  
Optimization Method ◽  
Current Work ◽  
Rational Approach ◽  
General Applicability ◽  
Topological Design ◽  
Evolutionary Structural Optimization ◽  
Wide Range

A rational approach to the mechanical design of wheel rims as a typical periodic structure is presented in the current work. With novel application of the latest bidirectional evolutionary structural optimization method, a procedure is presented for the optimal topological design of wheel rims. Design applications are studied with realistic loads on a general vehicle in various scenarios, where the results not only demonstrate originalities of wheel patterns, but also provide insights into existing wheel designs. The simplicity and generic nature imply the general applicability of the proposed approach to a wide range of wheel designs.

Creating Innovative and Efficient Structures and Materials

2013 ◽  
Vol 438-439 ◽  
pp. 439-444
Author(s):  
Yi Min Xie ◽  
Zhi Hao Zuo ◽  
Xiao Dong Huang ◽  
Ji Wu Tang ◽  
Xiao Ying Yang ◽  
...  
Keyword(s):  
Topology Optimization ◽  
Optimal Design ◽  
Structural Optimization ◽  
Structural Systems ◽  
Design Problems ◽  
Practical Applications ◽  
Evolutionary Structural Optimization ◽  
Recent Developments ◽  
Beso Method ◽  
Industrial Projects

Novel and efficient structural and material designs can be realized by topology optimization that is capable of maximizing the performance of structural systems under given constraints. The bi-directional evolutionary structural optimization (BESO) method has been developed into an effective tool for topology optimization of load-bearing structures and materials. The latest advances of BESO are aimed at expanding its practical applications to a wider range of structural systems on both macro and micro scales. This paper presents recent developments of BESO for optimal design problems of a variety of structural systems ranging from buildings of large scales to materials of micro scales. Selected applications are introduced to demonstrate the capability of BESO. Examples presented in this paper are based on research and industrial projects of the Centre for Innovative Structures and Materials (http://www.rmit.edu.au/research/cism) at RMIT University.

A New ERR and Strategy for Bi-Directional Evolutionary Structural Optimization

2012 ◽  
Vol 204-208 ◽  
pp. 4422-4428
Author(s):  
Da Ke Zhang ◽  
Wen Pan Zhang ◽  
Han He ◽  
Chong Wang
Keyword(s):  
Structural Optimization ◽  
Stress Level ◽  
Optimization Procedure ◽  
Optimal Process ◽  
Removal Ratio ◽  
Rejection Ratio ◽  
Evolutionary Structural Optimization ◽  
Rejection Criterion ◽  
Element Addition ◽  
Element Removal

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.

Research on Evolutionary Topology Optimization in ANSYS

2013 ◽  
Vol 572 ◽  
pp. 547-550 ◽  
Author(s):  
Dong Yan Shi ◽  
Jia Shan Han ◽  
Ling Cheng Kong ◽  
Lin Lin
Keyword(s):  
Topology Optimization ◽  
Optimization Method ◽  
Secondary Development ◽  
Filter Method ◽  
Ansys Software ◽  
Evolutionary Structural Optimization ◽  
Elemental Sensitivity ◽  
Beso Method ◽  
Optimization Function ◽  
2D And 3D

Topology optimization function in ANSYS software is inefficient with the limitation of element types. By using the secondary developing language APDL and UIDL, the secondary development of bi-directional evolutionary structural optimization (BESO) method with volume constraint and stiffness maximization is completed in ANSYS. To suppress the checkerboard patterns, the elemental sensitivity numbers are recalculated by a filter method. To ensure the convergence of the optimization method in ANSYS, the elemental sensitivity numbers are updated by adding in their historical information. Two classic numerical examples are calculated to obtain the best topology structure. The numerical results indicate that the secondary method can solve the 2D and 3D problems effectively, which makes up for the deficiency of topology optimization part in ANSYS and broadens the application scope of the evolutionary optimization method.

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.

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