Computational & Technology Resources
an online resource for computational,
engineering & technology publications
Civil-Comp Proceedings
ISSN 1759-3433
CCP: 64
COMPUTATIONAL ENGINEERING USING METAPHORS FROM NATURE
Edited by: B.H.V. Topping
Paper II.9

Limit Analysis of Masonry Wall with Openings by Genetic Algorithm

Y. Kohama+, T. Takada+, A. De Stefano*, A. Miyamura# and T. Aoki#

+Department of Architecture, Mie University, Tsu, Japan,
*Department of Structural and Geotechnical Engineering, Politecnico di Torino, Torino, Italy
#SDA, Nagoya City University, Nagoya, Japan

Full Bibliographic Reference for this paper
Y. Kohama, T. Takada, A. De Stefano, A. Miyamura, T. Aoki, "Limit Analysis of Masonry Wall with Openings by Genetic Algorithm", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 135-141, 2000. doi:10.4203/ccp.64.2.9
Abstract
The present study deals with the limit analysis of masonry walls with rectangular openings by means of the genetic algorithm method. Many experimental results on masonry walls with openings subject to vertical and horizontal loads show importance of shearing resistance of materials including mortar which have a large scatterness of their material properties. Herein, an equivalent shear truss model that can evaluate strength for typical failure patterns due to earthquake damages, such as shear diagonal crack opening, local panel rocking, bed joint sliding, full or partial overturning of an entire wall, is applied to a single masonry wall in-plane collapse. The graph theory contributes topological description of a series of elementary admissible modes and their linear combinations which provide the corresponding load factors at collapse. Thus, it becomes a typical combinatorial optimality problem which can be, herein, approached by the genetic algorithm. A numerical example is compared to the experimental results at the University of Pavia.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £52 +P&P)