TY - JOUR
T1 - A topology, material and beam section optimization method for complex structures
AU - Fu, Jiayi
AU - Huang, Hai
AU - Chen, Shenyan
AU - Zhang, Yipeng
AU - An, Haichao
N1 - Publisher Copyright:
© 2024 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2025
Y1 - 2025
N2 - This article presents an engineering method for optimizing the topology, materials and beam cross-sectional types of complex structures comprising bars, beams or shells, or their combinations. The optimization problem is established based on an extended ground structure where each location contains multiple components or cross-sectional beams with different materials. This problem is solved through explicit sequence approximate problems involving discrete 0/1 variables to determine the optimal topology, materials and beam section types of components, and continuous size variables. The 0/1 variables are determined with a genetic algorithm, in which size variables are optimized with a dual method after determining 0/1 variables in each generation. The final design is restricted to a condition where at most one component can exist per location, realized through modified operators in the genetic algorithm. Structural analyses are conducted before establishing approximate problems in iteration cycles. Numerical examples, including an engineering application, demonstrate the efficiency of this method.
AB - This article presents an engineering method for optimizing the topology, materials and beam cross-sectional types of complex structures comprising bars, beams or shells, or their combinations. The optimization problem is established based on an extended ground structure where each location contains multiple components or cross-sectional beams with different materials. This problem is solved through explicit sequence approximate problems involving discrete 0/1 variables to determine the optimal topology, materials and beam section types of components, and continuous size variables. The 0/1 variables are determined with a genetic algorithm, in which size variables are optimized with a dual method after determining 0/1 variables in each generation. The final design is restricted to a condition where at most one component can exist per location, realized through modified operators in the genetic algorithm. Structural analyses are conducted before establishing approximate problems in iteration cycles. Numerical examples, including an engineering application, demonstrate the efficiency of this method.
KW - approximate problem
KW - beam section optimization
KW - complex structure
KW - ground structure
KW - material optimization
KW - Topology optimization
UR - http://www.scopus.com/inward/record.url?scp=85195295677&partnerID=8YFLogxK
U2 - 10.1080/0305215X.2024.2357149
DO - 10.1080/0305215X.2024.2357149
M3 - Article
AN - SCOPUS:85195295677
SN - 0305-215X
VL - 57
SP - 1467
EP - 1485
JO - Engineering Optimization
JF - Engineering Optimization
IS - 6
ER -