The Experts below are selected from a list of 246 Experts worldwide ranked by ideXlab platform

Larsgunnar Nilsson - One of the best experts on this subject based on the ideXlab platform.

  • Using the response surface methodology and the D-Optimality Criterion in crashworthiness related problems
    Structural and Multidisciplinary Optimization, 2002
    Co-Authors: Marcus Redhe, Jimmy Forsberg, Tomas Jansson, Per-olof Marklund, Larsgunnar Nilsson
    Abstract:

    The aim of this paper is to determine the efficient number of experimental points when using the response surface methodology in crashworthiness problems. The D-Optimality Criterion is used as experimental design method. Two application models have been studied, one square tube and one front rail from Saab Automobile AB. Both models were fully parameterized in the preprocessor LS-INGRID but only two design variables were used. The optimization package LS-OPT was used to determine the design of experiments using the D-Optimality Criterion. Both models were subjected to an impact into a rigid wall and the simulations were carried out using LS-DYNA. A general recommendation is to to use 1.5 times the minimum number of experimental points. A more specialized recommendation is for linear surfaces 1.5, elliptic surfaces 2.2 and for quadratic surfaces 1.6 times the minimum number of experimental points.

Chien-chang Lin - One of the best experts on this subject based on the ideXlab platform.

  • Optimum design of composite wing structures by a refined Optimality Criterion
    Composite Structures, 1991
    Co-Authors: Ine-wei Liu, Chien-chang Lin
    Abstract:

    Abstract Techniques for the optimization of composite with structures are investigated. The refined Optimality Criterion technique presented in this paper is an algorithm combining a Criterion based on the Kuhn-Tucker conditions and the technique of fully stressed design. The main advantages of this method are the generality of use, the efficiency in computation, and the capability of identifying automatically the set of critical constraints. Sensitivity analysis of constraints is based on the virtual load principle. This method is especially suitable for optimum design of large-scale structures. A modular type computer program, ARS 5 (Automatic Resizing System 5), is developed in accordance with the finite element method, refined Optimality Criterion, sensitivity analysis and Fortran-77 language for the optimization of composite wing structures subjected to sizes, stresses, displacements, twist and buckling constratints. Numerical results for a triple-spars composite wing structure reveal that the present technique is quite efficient and reliable.

Marcus Redhe - One of the best experts on this subject based on the ideXlab platform.

  • Using the response surface methodology and the D-Optimality Criterion in crashworthiness related problems
    Structural and Multidisciplinary Optimization, 2002
    Co-Authors: Marcus Redhe, Jimmy Forsberg, Tomas Jansson, Per-olof Marklund, Larsgunnar Nilsson
    Abstract:

    The aim of this paper is to determine the efficient number of experimental points when using the response surface methodology in crashworthiness problems. The D-Optimality Criterion is used as experimental design method. Two application models have been studied, one square tube and one front rail from Saab Automobile AB. Both models were fully parameterized in the preprocessor LS-INGRID but only two design variables were used. The optimization package LS-OPT was used to determine the design of experiments using the D-Optimality Criterion. Both models were subjected to an impact into a rigid wall and the simulations were carried out using LS-DYNA. A general recommendation is to to use 1.5 times the minimum number of experimental points. A more specialized recommendation is for linear surfaces 1.5, elliptic surfaces 2.2 and for quadratic surfaces 1.6 times the minimum number of experimental points.

Ine-wei Liu - One of the best experts on this subject based on the ideXlab platform.

  • Optimum design of composite wing structures by a refined Optimality Criterion
    Composite Structures, 1991
    Co-Authors: Ine-wei Liu, Chien-chang Lin
    Abstract:

    Abstract Techniques for the optimization of composite with structures are investigated. The refined Optimality Criterion technique presented in this paper is an algorithm combining a Criterion based on the Kuhn-Tucker conditions and the technique of fully stressed design. The main advantages of this method are the generality of use, the efficiency in computation, and the capability of identifying automatically the set of critical constraints. Sensitivity analysis of constraints is based on the virtual load principle. This method is especially suitable for optimum design of large-scale structures. A modular type computer program, ARS 5 (Automatic Resizing System 5), is developed in accordance with the finite element method, refined Optimality Criterion, sensitivity analysis and Fortran-77 language for the optimization of composite wing structures subjected to sizes, stresses, displacements, twist and buckling constratints. Numerical results for a triple-spars composite wing structure reveal that the present technique is quite efficient and reliable.

Tomas Jansson - One of the best experts on this subject based on the ideXlab platform.

  • Using the response surface methodology and the D-Optimality Criterion in crashworthiness related problems
    Structural and Multidisciplinary Optimization, 2002
    Co-Authors: Marcus Redhe, Jimmy Forsberg, Tomas Jansson, Per-olof Marklund, Larsgunnar Nilsson
    Abstract:

    The aim of this paper is to determine the efficient number of experimental points when using the response surface methodology in crashworthiness problems. The D-Optimality Criterion is used as experimental design method. Two application models have been studied, one square tube and one front rail from Saab Automobile AB. Both models were fully parameterized in the preprocessor LS-INGRID but only two design variables were used. The optimization package LS-OPT was used to determine the design of experiments using the D-Optimality Criterion. Both models were subjected to an impact into a rigid wall and the simulations were carried out using LS-DYNA. A general recommendation is to to use 1.5 times the minimum number of experimental points. A more specialized recommendation is for linear surfaces 1.5, elliptic surfaces 2.2 and for quadratic surfaces 1.6 times the minimum number of experimental points.