^ A new hybrid method for size and topology optimization of truss structures using modified ALGA and QPGA | Structurae
0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

A new hybrid method for size and topology optimization of truss structures using modified ALGA and QPGA

Author(s):



Medium: journal article
Language(s): Latvian
Published in: Journal of Civil Engineering and Management, , n. 2, v. 23
Page(s): 252-262
DOI: 10.3846/13923730.2015.1075420
Abstract:

Modified Augmented Lagrangian Genetic Algorithm (ALGA) and Quadratic Penalty Function Genetic Algo­rithm (QPGA) optimization methods are proposed to obtain truss structures with minimum structural weight using both continuous and discrete design variables. To achieve robust solutions, Compressed Sparse Row (CSR) with reordering of Cholesky factorization and Moore Penrose Pseudoinverse are used in case of non-singular and singular stiffness matrix, respectively. The efficiency of the proposed nonlinear optimization methods is demonstrated on several practical exam­ples. The results obtained from the Pratt truss bridge show that the optimum design solution using discrete parameters is 21% lighter than the traditional design with uniform cross sections. Similarly, the results obtained from the 57-bar planar tower truss indicate that the proposed design method using continuous and discrete design parameters can be up to 29% and 9% lighter than traditional design solutions, respectively. Through sensitivity analysis, it is shown that the proposed methodology is robust and leads to significant improvements in convergence rates, which should prove useful in large-scale applications.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.3846/13923730.2015.1075420.
  • About this
    data sheet
  • Reference-ID
    10354398
  • Published on:
    13/08/2019
  • Last updated on:
    13/08/2019