TY - JOUR
T1 - Interlocking joint shape optimization for structurally informed design of block assemblages
AU - Mousavian, Elham
AU - Bagi, Katalin
AU - Casapulla, Claudia
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of the Society for Computational Design and Engineering.
PY - 2022/6/14
Y1 - 2022/6/14
N2 - This paper presents a computer aided design tool that analyses the structural feasibility of interlocking assemblages with orthotropic sliding resistance and automatically adjusts the assemblage shape to remove the infeasibility. First, the static problem of limit analysis is extended to the corrugated interfaces. To model different bond patterns and openings, an assemblage is abstracted to different types of joints representing the dry joints between the blocks, joints inside the blocks, and the excluded joints where the openings are located. This problem is then reformulated to measure the structural infeasibility due to the sliding constraint violation. The so-called sliding infeasibility measure shows how far an infeasible model is to become feasible. This problem is used as the objective function of a shape optimization algorithm that minimizes the sliding infeasibility measure through automated change of the interlocking joints, by which the model becomes structurally feasible. The optimization is validated using the discrete element analysis.
AB - This paper presents a computer aided design tool that analyses the structural feasibility of interlocking assemblages with orthotropic sliding resistance and automatically adjusts the assemblage shape to remove the infeasibility. First, the static problem of limit analysis is extended to the corrugated interfaces. To model different bond patterns and openings, an assemblage is abstracted to different types of joints representing the dry joints between the blocks, joints inside the blocks, and the excluded joints where the openings are located. This problem is then reformulated to measure the structural infeasibility due to the sliding constraint violation. The so-called sliding infeasibility measure shows how far an infeasible model is to become feasible. This problem is used as the objective function of a shape optimization algorithm that minimizes the sliding infeasibility measure through automated change of the interlocking joints, by which the model becomes structurally feasible. The optimization is validated using the discrete element analysis.
KW - automated shape optimization
KW - discrete element analysis
KW - interlocking masonry blocks
KW - limit analysis extension
KW - orthotropic sliding resistance
UR - http://www.scopus.com/inward/record.url?scp=85135381062&partnerID=8YFLogxK
U2 - 10.1093/jcde/qwac054
DO - 10.1093/jcde/qwac054
M3 - Article
AN - SCOPUS:85135381062
SN - 2288-4300
VL - 9
SP - 1279
EP - 1297
JO - Journal of Computational Design and Engineering
JF - Journal of Computational Design and Engineering
IS - 4
ER -