A hierarchical method for discrete structural topology design problems with local stress and displacement constraints

2007 ◽  
Vol 69 (5) ◽  
pp. 1060-1084 ◽  
Author(s):  
Mathias Stolpe ◽  
Thomas Stidsen
Keyword(s):  
Local Stress ◽  
Topology Design ◽  
Structural Topology ◽  
Design Problems ◽  
Hierarchical Method ◽  
Displacement Constraints ◽  
Structural Topology Design

scholarly journals Spatial zoning for better structural topology design and performance

2020 ◽  
Vol 46 ◽  
pp. 101162
Author(s):  
Dennis P.H. Claessens ◽  
Sjonnie Boonstra ◽  
Hèrm Hofmeyer
Keyword(s):  
Topology Design ◽  
Structural Topology ◽  
And Performance ◽  
Structural Topology Design

Structural topology design with multiple thermal criteria

2000 ◽  
Vol 17 (6) ◽  
pp. 715-734 ◽  
Author(s):  
Qing Li ◽  
Grant P. Steven ◽  
Osvaldo M. Querin ◽  
Y.M. Xie
Keyword(s):  
Topology Design ◽  
Structural Topology ◽  
Structural Topology Design

Optimal Structural Topology Design for Energy Absorption: A Heuristic Approach

2001 ◽  
Author(s):  
Ciro A. Soto
Keyword(s):  
Energy Dissipation ◽  
Kinetic Energy ◽  
Porous Materials ◽  
Numerical Experiments ◽  
Topology Design ◽  
Design Rule ◽  
Structural Domain ◽  
Structural Topology ◽  
New Approach ◽  
Structural Topology Design

Abstract A new approach to design the topology for structures under crash events is presented. The approach is heuristic in essence, but numerical experiments have shown its uses in real problems. Using an interpolation between porous and solid (non-porous) materials plus a re-design rule to by-pass gradient computations the new approach is able to determine better locations of material and density in a given structural domain for kinetic energy dissipation. An example is presented to illustrate the methodology.

Structural Topology Design Optimization for Controlled Crash Behavior

2003 ◽  
Author(s):  
Ciro A. Soto
Keyword(s):  
Design Optimization ◽  
Automotive Industry ◽  
Optimization Problem ◽  
Dynamic Equilibrium ◽  
Topology Design ◽  
Structural Behavior ◽  
Structural Topology ◽  
Design Engineers ◽  
Optimum Topology ◽  
Structural Topology Design

This paper presents a methodology to perform structural topology design optimization for crashworthiness considering a prescribed and safe structural behavior through the dynamic equilibrium equation. This implementation, called here controlled crash behavior, or CCB, is very useful for design engineers in the automotive industry since it allows them to ‘prescribe’ a structural behavior of the vehicle at given locations of interest. The methodology is based on previous work from the author where the optimum topology is determined using a heuristic (optimality) criterion to attain a design with prescribed levels of plastic strains and stresses. The paper includes a simple beam example to demonstrate the CCB approach. Results are consistent with the formulation of the optimization problem.

Genetic Algorithm-Based Structural Topology Design With Compliance and Topology Simplification Considerations

1996 ◽  
Vol 118 (1) ◽  
pp. 89-98 ◽  
Author(s):  
C. D. Chapman ◽  
M. J. Jakiela
Keyword(s):  
Genetic Algorithm ◽  
Topology Optimization ◽  
Optimization Technique ◽  
Topology Design ◽  
Structural Topology Optimization ◽  
Structural Topology ◽  
Design Representation ◽  
Homogenization Methods ◽  
Future Work ◽  
Structural Topology Design

The genetic algorithm (GA), an optimization technique based on the theory of natural selection, is applied to structural topology design problems. After reviewing the genetic algorithm and previous research in structural topology optimization, we detail the chromosome-to-design representation which enables the genetic algorithm to perform structural topology optimization. Extending our prior investigations, this article first compares our genetic-algorithm-based technique with homogenization methods in the minimization of a structure’s compliance subject to a maximum volume constraint. We then use our technique to generate topologies combining high structural performance with a variety of material connectivity characteristics which arise directly from our discretized design representation. After discussing our findings, we describe potential future work.

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