Crash worthiness design optimization using multipoint sequential linear programming

1996 ◽  
Vol 12 (4) ◽  
pp. 222-228 ◽  
Author(s):  
L. F. P. Etman ◽  
J. M. T. A. Adriaens ◽  
M. T. P. Slagmaat ◽  
A. J. G. Schoofs
Keyword(s):  
Linear Programming ◽  
Design Optimization ◽  
Sequential Linear Programming

Optimization of Multibody Systems Using Sequential Linear Programming

1994 ◽  
Author(s):  
L. F. P. Etman ◽  
E. J. R. W. Thijssen ◽  
A. J. G. Schoofs ◽  
D. H. van Campen
Keyword(s):  
Linear Programming ◽  
Structural Analysis ◽  
Design Optimization ◽  
Software Package ◽  
Multibody Systems ◽  
Sequential Linear Programming ◽  
Analysis Software ◽  
Design Problems ◽  
Linear Programming Problems ◽  
Approximation Concept

Abstract Design optimization is far less developed for multibody analysis than for structural analysis. However, multibody design problems can be solved by optimization strategies applied in structural analysis. To illustrate this, a design optimization tool has been developed for a multibody analysis software package. It is based on a linear approximation concept. An optimization process results that consists of a sequence of linear programming problems. The design optimization tool has been successfully tested for three multibody design examples.

A Fuzzy Sequential Linear Programming Algorithm for Engineering Design Optimization

1995 ◽  
Author(s):  
Yeh-Liang Hsu ◽  
Yu-Fa Lin ◽  
Yu-Shuei Guo
Keyword(s):  
Linear Programming ◽  
Design Optimization ◽  
Engineering Design ◽  
Optimization Problems ◽  
Optimization Algorithms ◽  
Optimization Process ◽  
Programming Algorithm ◽  
Sequential Linear Programming ◽  
Original Algorithm ◽  
Engineering Design Optimization

Abstract An optimization process can be viewed as a closed-loop control system. Traditional “controllers”, the numerical optimization algorithms, are usually “crisply” designed for well defined mathematical models. However, when applied to engineering design optimization problems in which function evaluations can be expensive and imprecise, very often the crisp algorithms will become impractical or will not converge. A common strategy for designers is to monitor the optimization process and keep “tuning” the process in an interactive manner, using their judgment on the information obtained from previous iterations, and their knowledge of the problem. This paper presents how the heuristics of this human supervision can be modeled into the optimization algorithms using fuzzy set theory. A fuzzy version of sequential linear programming is used to demonstrate this idea. Fuzzy rules, which describe the human supervision during the optimization process, are combined with the numerical rules of the original algorithm to refine the output of each iteration. Several design optimization problems are used to show the feasibility and practicality of this approach.

Design optimization of large-scale structures with sequential linear programming

2002 ◽  
Vol 216 (8) ◽  
pp. 799-811 ◽  
Author(s):  
L Lamberti ◽  
C Pappalettere
Keyword(s):  
Linear Programming ◽  
Design Optimization ◽  
Large Scale ◽  
Optimization Technique ◽  
Computational Cost ◽  
Optimization Methods ◽  
Optimization Techniques ◽  
Truss Structures ◽  
Large Set ◽  
Sequential Linear Programming

Design optimization of complex structures entails tasks that oppose the usual constraints on time and computational resources. However, using optimization techniques is very useful because it allows engineers to obtain a large set of designs at low computational cost. Among the different optimization methods, sequential linear programming (SLP) is very popular because of its simplicity and because linear solvers (e.g. Simplex) are easily available. In spite of the inherent theoretical simplicity, well-coded SLP algorithms may outperform more sophisticated optimization methods. This paper describes the experience obtained in the design optimization of large-scale truss structures and beams with SLP-based algorithms. Sizing and configuration problems of structures under multiple loading conditions with up to 1000 design variables and 3500 constraints are considered. The relative performance and merits of some SLP-based algorithms are compared and the efficiency of an advanced SLP-based algorithm called ILEAML (improved linearization error amplitude move limits) is tested. ILEAML is also compared to the sequential quadratic programming (SQP) method, which is considered by theoreticians as probably the best theoretically founded optimization technique.

Fuzzy Heuristics for Sequential Linear Programming

1998 ◽  
Vol 120 (1) ◽  
pp. 17-23 ◽  
Author(s):  
E. L. Mulkay ◽  
S. S. Rao
Keyword(s):  
Fuzzy Logic ◽  
Linear Programming ◽  
Path Following ◽  
Human Observer ◽  
Sequential Linear Programming ◽  
Algorithm Performance ◽  
Primal Dual ◽  
Improve Algorithm ◽  
Range Of Values ◽  
Better Than

Numerical implementations of optimization algorithms often use parameters whose values are not strictly determined by the derivation of the algorithm, but must fall in some appropriate range of values. This work describes how fuzzy logic can be used to “control” such parameters to improve algorithm performance. This concept is shown with the use of sequential linear programming (SLP) due to its simplicity in implementation. The algorithm presented in this paper implements heuristics to improve the behavior of SLP based on current iterate values of design constraints and changes in search direction. Fuzzy logic is used to implement the heuristics in a form similar to what a human observer would do. An efficient algorithm, known as the infeasible primal-dual path-following interior-point method, is used for solving the sequence of LP problems. Four numerical examples are presented to show that the proposed SLP algorithm consistently performs better than the standard SLP algorithm.

Design of Micro-Gripper With Topology Optimal Compliant Mechanisms

2004 ◽  
Author(s):  
Shyh-Chour Huang ◽  
Chien-Ching Chiu
Keyword(s):  
Linear Programming ◽  
Compliant Mechanisms ◽  
Compliant Mechanism ◽  
New Method ◽  
Sequential Linear Programming ◽  
Analysis Method ◽  
Electrothermal Actuator ◽  
Design Considerations ◽  
Micro Gripper

The objective of this paper describes a new method to design a micro-gripper. In the paper, we use compliant mechanism actuated by micro combined V-shape electrothermal actuator to design a microgripper that the claw can clip the micro object. The compliant mechanism employs flexible to generate movement without any hinge; therefore, it is suitable for MEMS manufacture. The design of micro-gripper is accomplished in compliant mechanism with topology optimum and solved by sequential linear programming (SLP) methods. The design considerations, the analysis method, and the design results are discussed.

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