Performance-Based Multi-Objective Optimization of Four-Limb CFST Lattice Columns Article Swipe
YOU?
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· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/buildings15030433
In this paper, the low-cycle reciprocating load test was carried out on four-limb concrete-filled steel tubular (CFST) lattice columns with different slenderness ratios and axial compression ratios, and the seismic performance was studied. Two performance indicators, namely damage and hysteretic energy dissipation, were defined as the objective functions, and the axial compression ratio was used as an optimization variable to perform the multi-objective optimization analysis of four-limb CFST lattice columns. Optimization using the max–min problem approach aims to optimize the axial compression ratio to minimize damage and maximize the dissipation of hysteresis energy. The seismic performances before and after optimization were determined using a restoring force model and were evaluated by the finite element method under different axial compression ratios. The results show that, under low-cycle reciprocating loads, the load–displacement hysteresis curve is a bow shape (Members 1 and 2), inverse S-shape (Member 3), and approximate shuttle shape (Member 4). Through multi-objective optimization, the optimized axial compression ratio is 0.25 and the finite element analysis indicates that the optimal seismic performance is at an axial compression ratio of 0.25. Through the optimized design, the maximum horizontal load of lattice columns, the elastic stiffness, the dissipation capacity, and the seismic performance are all improved, under the premise of satisfying the structural safety.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/buildings15030433
- OA Status
- gold
- Cited By
- 1
- References
- 31
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4406957299Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/buildings15030433Digital Object Identifier
- Title
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Performance-Based Multi-Objective Optimization of Four-Limb CFST Lattice ColumnsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-29Full publication date if available
- Authors
-
Junjie He, Zhi Huang, Juan Chen, Wangbao Zhou, Tao Huang, Xin Kang, Y. Frank ChenList of authors in order
- Landing page
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https://doi.org/10.3390/buildings15030433Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/buildings15030433Direct OA link when available
- Concepts
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Structural engineering, Lattice (music), Computer science, Engineering, Physics, AcousticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W4402390216, https://openalex.org/W6758805888, https://openalex.org/W4402371196, https://openalex.org/W4401944540, https://openalex.org/W4318824726, https://openalex.org/W4385284517, https://openalex.org/W4403153951, https://openalex.org/W4298132631, https://openalex.org/W4293412489, https://openalex.org/W4366818798, https://openalex.org/W4392863791, https://openalex.org/W4402088739, https://openalex.org/W4402697615, https://openalex.org/W4328050772, https://openalex.org/W4379046735, https://openalex.org/W4404840727, https://openalex.org/W4404060306, https://openalex.org/W4404200676, https://openalex.org/W4403032260, https://openalex.org/W4401179566, https://openalex.org/W4405310798, https://openalex.org/W4404060954, https://openalex.org/W4283329726, https://openalex.org/W4280542757, https://openalex.org/W4406062718, https://openalex.org/W4376119872, https://openalex.org/W4225129639, https://openalex.org/W4379790553, https://openalex.org/W4387190369, https://openalex.org/W4402497131, https://openalex.org/W2913743648 |
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