Surrogate-assisted multi-objective topology optimization design method for prefabricated large-span Suspen-Dome based on structural-mapping-method and improved-PGSA
- 1College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, PR China.
- 2Beijing Engineering Research Center of High-rise and Large-Span Pre-stressed Steel Structures, Beijing, PR China.
Abstract
Existing optimization studies on large-span Suspen-Dome structures have mainly focused on either size optimization of the upper reticulated shell or topology optimization of the lower cable-strut system. Such a separated strategy prevents the integrated optimization of the whole structure, restricts the design space, and limits further improvement in structural performance. This study investigates the integrated optimization of prefabricated large-span Suspen-Dome structures by simultaneously considering the size, geometric configuration, and topology of the upper reticulated shell, together with the topology and cable forces of the lower cable-strut system. To ensure practical applicability, the design variables are classified into topological and size variables. The former define the structural configuration and connectivity, while the latter determine material-related properties. The optimization aims to maximize stiffness and minimize weight, subject to member slenderness, material strength, local stability, and overall structural stability constraints. An Multi-Layer Perceptron (MLP)-based candidate screening model is introduced to accelerate the optimization algorithm and reduce unnecessary ANSYS analyses. A partial full-stress design (PFSD) concept is proposed, in which the reticulated shell serves as a structural safety reserve. The proposed structural mapping method-improved plant growth algorithm (SMM-iPGSA) is validated through two examples. Results show that the optimized structures exhibit improved stability, more uniform stress distribution, and displacements well below the allowable limits.
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BibTeX
@article{dai2026surrogateassisted,
title = {{Surrogate-assisted multi-objective topology optimization design method for prefabricated large-span Suspen-Dome based on structural-mapping-method and improved-PGSA}},
author = {Yuchen Dai and Ailin Zhang and Liuhaoxiang Wang and Caisen Wang and Guanhua Chen and Yuanyuan Li},
journal = {PLOS One},
year = {2026},
month = nov,
doi = {10.1371/journal.pone.0361862},
url = {https://doi.org/10.1371/journal.pone.0361862},
note = {CC BY},
}
RIS
TY - JOUR
TI - Surrogate-assisted multi-objective topology optimization design method for prefabricated large-span Suspen-Dome based on structural-mapping-method and improved-PGSA
AU - Yuchen Dai
AU - Ailin Zhang
AU - Liuhaoxiang Wang
AU - Caisen Wang
AU - Guanhua Chen
AU - Yuanyuan Li
PY - 2026
DA - 2026/11/02
JO - PLOS One
DO - 10.1371/journal.pone.0361862
UR - https://doi.org/10.1371/journal.pone.0361862
AB - Existing optimization studies on large-span Suspen-Dome structures have mainly focused on either size optimization of the upper reticulated shell or topology optimization of the lower cable-strut system. Such a separated strategy prevents the integrated optimization of the whole structure, restricts the design space, and limits further improvement in structural performance. This study investigates the integrated optimization of prefabricated large-span Suspen-Dome structures by simultaneously considering the size, geometric configuration, and topology of the upper reticulated shell, together with the topology and cable forces of the lower cable-strut system. To ensure practical applicability, the design variables are classified into topological and size variables. The former define the structural configuration and connectivity, while the latter determine material-related properties. The optimization aims to maximize stiffness and minimize weight, subject to member slenderness, material strength, local stability, and overall structural stability constraints. An Multi-Layer Perceptron (MLP)-based candidate screening model is introduced to accelerate the optimization algorithm and reduce unnecessary ANSYS analyses. A partial full-stress design (PFSD) concept is proposed, in which the reticulated shell serves as a structural safety reserve. The proposed structural mapping method-improved plant growth algorithm (SMM-iPGSA) is validated through two examples. Results show that the optimized structures exhibit improved stability, more uniform stress distribution, and displacements well below the allowable limits.
SN - 1932-6203
ER -