Shape and thickness optimization performance of a beam structure by sequential quadratic programming method

被引:5
|
作者
Jarraya A. [1 ]
Dammak F. [1 ]
Abid S. [1 ]
Haddar M. [1 ]
机构
[1] Mechanics Modelling and Production Research Unit, Mechanical Engineering Department, National School of Engineers, Sfax
关键词
Beams element; Finite elements; Optimization; Parameterization; Sequential quadratic programming method;
D O I
10.1007/s11668-006-9001-5
中图分类号
学科分类号
摘要
Successful performance of beam structures is critical to failure prevention, and beam performance can be optimized by careful consideration of beam shape and thickness. Shape and thickness optimization of beam structures having linear behaviour is treated. The first problem considered is the thickness distribution of the beam where the optimization variable is the thickness of the control points. The second problem is the shape optimization where the optimization variables are the ordinates of the control points. The optimization criterion (function objective to be minimized) is defined starting with the Von Mises criterion expressed in plane constraints. The resolution of the mechanical problem is made by the finite element method, and the optimization algorithm is the sequential quadratic programming (SQP) method. © ASM International 2007.
引用
收藏
页码:50 / 55
页数:5
相关论文
共 50 条
  • [1] Shape Optimization for Arch Dam with Sequential Quadratic Programming Method
    Duan, Yin
    Yuan, Wei
    Liu, Huibo
    ADVANCES IN CIVIL AND INDUSTRIAL ENGINEERING IV, 2014, 580-583 : 1961 - +
  • [2] Optimization design for steel structure residence based on the sequential quadratic programming method
    Wu, Xishuang
    Liu, Tielin
    Chen, Wenbo
    ADVANCES IN CIVIL ENGINEERING II, PTS 1-4, 2013, 256-259 : 680 - 683
  • [3] Structural shape optimization using MSC/NASTRAN and sequential quadratic programming
    Holzleitner, L
    Mahmoud, KG
    COMPUTERS & STRUCTURES, 1999, 70 (05) : 487 - 514
  • [4] The Structural Optimization of Gearbox Based on Sequential Quadratic Programming Method
    Huang Wei
    Fu Lingling
    Liu Xiohuai
    Wen Zongyin
    Zhao Leisheng
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL III, PROCEEDINGS, 2009, : 356 - +
  • [5] The Sequential Quadratic Programming Method
    Fletcher, Roger
    NONLINEAR OPTIMIZATION, 2010, 1989 : 165 - 214
  • [6] A new optimization method integrating particle swarm optimization and sequential quadratic programming
    Xia, X. H.
    Liu, B.
    Jin, Y. H.
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 485 - 488
  • [7] A REVISED SEQUENTIAL QUADRATIC SEMIDEFINITE PROGRAMMING METHOD FOR NONLINEAR SEMIDEFINITE OPTIMIZATION
    Okabe, Kosuke
    Yamakawa, Yuya
    Fukuda, Ellen hidemi
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2023, 19 (10) : 7777 - 7794
  • [8] AN ADAPTIVELY REGULARIZED SEQUENTIAL QUADRATIC PROGRAMMING METHOD FOR EQUALITY CONSTRAINED OPTIMIZATION
    Qiu, Songqiang
    Chen, Zhongwen
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2020, 16 (06) : 2675 - 2701
  • [9] A Stabilized Sequential Quadratic Programming Method for Optimization Problems in Function Spaces
    Yamakawa, Yuya
    NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, 2023, 44 (09) : 867 - 905
  • [10] Robust sequential quadratic programming method
    Burke, J.V., 1600, (43):