Structure optimization method based on automatic vectorization

2019 ◽  
Vol 13 (1) ◽  
pp. 51-58
Author(s):  
Yu-ping Li ◽  
Zhan-jie Guo ◽  
Hui Liu
Keyword(s):  
Structure Optimization ◽  
Optimization Method

scholarly journals Strut-and-tie models for linear and nonlinear behavior of concrete based on topological evolutionary structure optimization (ESO)

2019 ◽  
Vol 12 (1) ◽  
pp. 87-100
Author(s):  
R. M. LANES ◽  
M. GRECO ◽  
M. B. B. F. GUERRA
Keyword(s):  
Nonlinear Behavior ◽  
Structure Optimization ◽  
Internal Flow ◽  
Optimization Method ◽  
Topological Optimization ◽  
Structural Elements ◽  
Stress Concentrations ◽  
Progressive Reduction ◽  
Strut And Tie ◽  
Safety And Reliability

Abstract The search for representative resistant systems for a concrete structure requires deep knowledge about its mechanical behavior. Strut-and-tie models are classic analysis procedures to the design of reinforced concrete regions where there are stress concentrations, the so-called discontinuous regions of the structure. However, this model is strongly dependent of designer’s experience regarding the compatibility between the internal flow of loads, the material’s behavior, the geometry and boundary conditions. In this context, the present work has the objective of presenting the application of the strut-and-tie method in linear and non-linear on some typical structural elements, using the Evolutionary Topological Optimization Method (ESO). This optimization method considers the progressive reduction of stiffness with the removal of elements with low values of stresses. The equivalent truss system resulting from the analysis may provide greater safety and reliability.

A Structure Optimization for Hooklift Arm Device Based on the Genetic Algorithm

2012 ◽  
Vol 455-456 ◽  
pp. 1504-1508
Author(s):  
Huan Ming Chen ◽  
Da Wei Liu
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Parameter Optimization ◽  
Structure Optimization ◽  
Optimization Method ◽  
Optimized Design ◽  
Design Decision ◽  
Original Design ◽  
Multi Objective ◽  
Engineering Constraint

Based on the theory of FEM, the hooklift arm is modeled with the FEM software, and the structure of the device is optimized with genetic algorithm in a multi-objective/multi-parameter optimization environment, which results in an optimal design decision of the hooklift arm device under the engineering constraint. Comparison between optimized design decision and original design decision shows that the optimization is correct and the proposed multi-objective/multi-parameter optimization method is effective in improving the hooklift arm device.

Structure Optimization of the Housing Fillet Using SA Combined with FEM

2014 ◽  
Vol 898 ◽  
pp. 217-220
Author(s):  
Jin Hong Ma ◽  
Bin Tao ◽  
Xiao Han Yao
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Simulated Annealing Algorithm ◽  
Structure Optimization ◽  
Optimization Method ◽  
Zero Order ◽  
Optimal Method ◽  
First Order ◽  
Universal Mill ◽  
Annealing Algorithm

The housing fillet of universal mill affects the strengthen and stiffness of mill. It is necessary to optimize the housing fillet. In this paper, the simulated annealing algorithm (SA) combined with finite element method (FEM) , a new kind of structural optimization method is established. MATLAB language is used to compile the program combined the SA with FEM to optimize housing fillet of universal mill. Compared with the zero order and first order optimization method of ANSYS program, the result of this optimal method is better.

Topology Optimization of Headstock of Heavy Machine Tool

2011 ◽  
Vol 305 ◽  
pp. 442-445
Author(s):  
Feng Lan Cheng ◽  
Feng He Wu
Keyword(s):  
Sensitivity Analysis ◽  
Topology Optimization ◽  
Machine Tool ◽  
Cross Section ◽  
Structure Optimization ◽  
Optimization Method ◽  
Unit Cell ◽  
Optimization Process ◽  
Topological Parameters ◽  
Heavy Machine

The problem of topology optimization of large spindle box of heavy machine was studied. Based on ICM topology optimization, the parameters topology optimization were changed by sensitivity analysis and the sensitivity parameters were normalized; the topological parameters were modified and removed which judgment based on the sensitivity of the cross-section unit cell in the progress of optimization. Example shown that the integrated optimization method made the structure optimization more intuitive, not only avoided effectively the occurrence of the load strange in the optimization process, but accelerated the convergence speed.

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