Heuristic-guided technique for hybrid laminate stacking sequence multi modal optimization using branch-bound and relaxation methods
This study tackles the challenge of multimodal optimization for hybrid laminate stacking sequences under generic load conditions, including membrane and/or moment loading. The objective is to determine the optimal lay-up sequence of plies made from different materials to minimize laminate cost, whil...
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| Published in | Composite structures Vol. 373; p. 119659 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Ltd
01.12.2025
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0263-8223 |
| DOI | 10.1016/j.compstruct.2025.119659 |
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| Abstract | This study tackles the challenge of multimodal optimization for hybrid laminate stacking sequences under generic load conditions, including membrane and/or moment loading. The objective is to determine the optimal lay-up sequence of plies made from different materials to minimize laminate cost, while satisfying structural, weight, and manufacturing constraints. A key contribution of this work is the development of a novel heuristic function, integrated into the proposed algorithm, which significantly improves efficiency and robustness in solving problems where multiple global optima may coexist for hybrid laminates.
The methodology employs an implicit, incrementally constructed directed graph (digraph), guided by the heuristic function at each decision step. This informed search strategy (augmented with both branch-and-bound and relaxation techniques) reduces the effective branching factor and mitigates the exponential growth of the search tree. The algorithm was validated through a series of benchmark tests for which global optima were previously obtained via brute-force search. Its performance was thoroughly assessed in terms of its ability to identify all optimal solutions and the number of iterations required to reach each one. Finally, the algorithm was applied to the redesign of a wind turbine blade root (based on the IEA 15-Megawatt Offshore Reference NREL wind project), achieving a cost reduction of up to 35 % while maintaining stiffness and mass within acceptable limits (below 5 %). |
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| AbstractList | This study tackles the challenge of multimodal optimization for hybrid laminate stacking sequences under generic load conditions, including membrane and/or moment loading. The objective is to determine the optimal lay-up sequence of plies made from different materials to minimize laminate cost, while satisfying structural, weight, and manufacturing constraints. A key contribution of this work is the development of a novel heuristic function, integrated into the proposed algorithm, which significantly improves efficiency and robustness in solving problems where multiple global optima may coexist for hybrid laminates.
The methodology employs an implicit, incrementally constructed directed graph (digraph), guided by the heuristic function at each decision step. This informed search strategy (augmented with both branch-and-bound and relaxation techniques) reduces the effective branching factor and mitigates the exponential growth of the search tree. The algorithm was validated through a series of benchmark tests for which global optima were previously obtained via brute-force search. Its performance was thoroughly assessed in terms of its ability to identify all optimal solutions and the number of iterations required to reach each one. Finally, the algorithm was applied to the redesign of a wind turbine blade root (based on the IEA 15-Megawatt Offshore Reference NREL wind project), achieving a cost reduction of up to 35 % while maintaining stiffness and mass within acceptable limits (below 5 %). |
| ArticleNumber | 119659 |
| Author | Dinh, Van-Nguyen Pham, Thanh-Dam Leahy, Paul Sanz-Corretge, Javier Le, Trang Ferreira, Gregorio Trinh, Luan Weaver, Paul |
| Author_xml | – sequence: 1 givenname: Javier surname: Sanz-Corretge fullname: Sanz-Corretge, Javier email: jSanz-Corretge@ucc.ie organization: University College Cork, Cork T12 K8AF, Ireland – sequence: 2 givenname: Thanh-Dam orcidid: 0000-0002-3853-2059 surname: Pham fullname: Pham, Thanh-Dam organization: Technological University of the Shannon: Midlands Midwest, Limerick V94 EC5T, Ireland – sequence: 3 givenname: Luan orcidid: 0000-0003-0162-1581 surname: Trinh fullname: Trinh, Luan organization: Technological University of the Shannon: Midlands Midwest, Limerick V94 EC5T, Ireland – sequence: 4 givenname: Trang orcidid: 0009-0003-9960-1294 surname: Le fullname: Le, Trang organization: Technological University of the Shannon: Midlands Midwest, Limerick V94 EC5T, Ireland – sequence: 5 givenname: Gregorio orcidid: 0000-0002-7341-0954 surname: Ferreira fullname: Ferreira, Gregorio organization: University of Limerick, Limerick V94 T9PX, Ireland – sequence: 6 givenname: Van-Nguyen orcidid: 0000-0003-0591-9844 surname: Dinh fullname: Dinh, Van-Nguyen organization: OWC, ABL Group, Ireland – sequence: 7 givenname: Paul orcidid: 0000-0003-4478-3863 surname: Leahy fullname: Leahy, Paul email: Paul.Leahy@ucc.ie organization: University College Cork, Cork T12 K8AF, Ireland – sequence: 8 givenname: Paul orcidid: 0000-0002-1905-4477 surname: Weaver fullname: Weaver, Paul organization: University of Limerick, Limerick V94 T9PX, Ireland |
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| Cites_doi | 10.3390/ma16020495 10.1016/j.compstruc.2005.02.002 10.1007/s00158-016-1508-0 10.1109/TEVC.2014.2313659 10.3390/jcs6090245 10.1109/NOMS56928.2023.10154322 10.2174/1874155X01812010138 10.1016/S0263-8223(02)00048-X 10.1007/s00158-017-1711-7 10.1016/j.compstruct.2018.10.075 10.1016/j.probengmech.2023.103479 10.1007/978-3-319-00930-8_6 10.1016/j.ast.2024.109304 10.1016/j.cma.2023.116191 |
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| Keywords | Structural composites Heuristic-algorithm Branch and bound Multimodal optimization Hybrid-laminates Decision tree |
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United States: National Renewable Energy publication-title: Laboratory |
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| Title | Heuristic-guided technique for hybrid laminate stacking sequence multi modal optimization using branch-bound and relaxation methods |
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