Feasible and robust optimisation of cable forces in suspended bridges: A two-stage metaheuristic approach.
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| Title: | Feasible and robust optimisation of cable forces in suspended bridges: A two-stage metaheuristic approach. |
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| Authors: | Mascolo, Ida1 (AUTHOR), Sarfarazi, Sina1 (AUTHOR) sina.sarfarazi@unina.it, Modano, Mariano1 (AUTHOR) |
| Source: | Mechanics Research Communications. Dec2025, Vol. 150, pN.PAG-N.PAG. 1p. |
| Subjects: | Suspension bridges, Metaheuristic algorithms, Structural optimization, Tension loads, Particle swarm optimization, Grey Wolf Optimizer algorithm, Robust statistics, Stiffness (Engineering) |
| Abstract: | • A two-stage framework for feasible and robust cable retensioning is proposed. • A reduced-order banded influence operator links cable actions to deck response. • Scale relation between hanger spacing and deck stiffness governs operator bandwidth. • PSO and GWO deliver symmetric, bounded, and constructible adjustment patterns. • Robustness and reproducibility are demonstrated under structured perturbations. The adjustment of cable pretension in suspended-deck bridges is a critical inverse design problem, where feasibility and robustness are as important as accuracy. Conventional methods such as finite-element (FE) re-analysis or the Influence Matrix Method (IMM) provide algebraic solutions but often produce oscillatory or infeasible patterns once field constraints are applied. This study introduces a two-stage framework that integrates stiffness-based sensitivity analysis with constrained metaheuristic optimisation. In stage-1 a reduced-order banded influence operator is introduced, which reflects how changes at the cable scale propagate over a limited range before combining into the global deck deformation. The effective bandwidth is tied to hanger spacing and deck stiffness, giving a natural connection between actuator-level inputs and system-level response. In Stage-2, cable adjustments are determined through multi-objective optimisation that balances target matching, smoothness, symmetry, and bounded jack capacities. Two population-based strategies, Particle Swarm Optimisation (PSO) and Grey Wolf Optimisation (GWO), are benchmarked against convex regularization baselines on the Gravina Bridge (Italy). Both metaheuristics deliver symmetric, bounded, and contiguous force patterns that reproduce the target profile while remaining compatible with staged field operations. Robustness analysis under structured perturbations confirms near 14% reductions in mean and tail-risk errors relative to convex solutions, while reproducibility is ensured through constrained search and convex polishing. The results demonstrate that the framework provides accurate and constructible re-tensioning strategies, clarifying how scale interactions in cable–deck systems can be exploited for reliable design and maintenance. [ABSTRACT FROM AUTHOR] |
| Copyright of Mechanics Research Communications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 189938235 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Feasible and robust optimisation of cable forces in suspended bridges: A two-stage metaheuristic approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mascolo%2C+Ida%22">Mascolo, Ida</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sarfarazi%2C+Sina%22">Sarfarazi, Sina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sina.sarfarazi@unina.it</i><br /><searchLink fieldCode="AR" term="%22Modano%2C+Mariano%22">Modano, Mariano</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Mechanics+Research+Communications%22">Mechanics Research Communications</searchLink>. Dec2025, Vol. 150, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Suspension+bridges%22">Suspension bridges</searchLink><br /><searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+optimization%22">Structural optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Tension+loads%22">Tension loads</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Grey+Wolf+Optimizer+algorithm%22">Grey Wolf Optimizer algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+statistics%22">Robust statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Stiffness+%28Engineering%29%22">Stiffness (Engineering)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • A two-stage framework for feasible and robust cable retensioning is proposed. • A reduced-order banded influence operator links cable actions to deck response. • Scale relation between hanger spacing and deck stiffness governs operator bandwidth. • PSO and GWO deliver symmetric, bounded, and constructible adjustment patterns. • Robustness and reproducibility are demonstrated under structured perturbations. The adjustment of cable pretension in suspended-deck bridges is a critical inverse design problem, where feasibility and robustness are as important as accuracy. Conventional methods such as finite-element (FE) re-analysis or the Influence Matrix Method (IMM) provide algebraic solutions but often produce oscillatory or infeasible patterns once field constraints are applied. This study introduces a two-stage framework that integrates stiffness-based sensitivity analysis with constrained metaheuristic optimisation. In stage-1 a reduced-order banded influence operator is introduced, which reflects how changes at the cable scale propagate over a limited range before combining into the global deck deformation. The effective bandwidth is tied to hanger spacing and deck stiffness, giving a natural connection between actuator-level inputs and system-level response. In Stage-2, cable adjustments are determined through multi-objective optimisation that balances target matching, smoothness, symmetry, and bounded jack capacities. Two population-based strategies, Particle Swarm Optimisation (PSO) and Grey Wolf Optimisation (GWO), are benchmarked against convex regularization baselines on the Gravina Bridge (Italy). Both metaheuristics deliver symmetric, bounded, and contiguous force patterns that reproduce the target profile while remaining compatible with staged field operations. Robustness analysis under structured perturbations confirms near 14% reductions in mean and tail-risk errors relative to convex solutions, while reproducibility is ensured through constrained search and convex polishing. The results demonstrate that the framework provides accurate and constructible re-tensioning strategies, clarifying how scale interactions in cable–deck systems can be exploited for reliable design and maintenance. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Mechanics Research Communications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.mechrescom.2025.104554 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Suspension bridges Type: general – SubjectFull: Metaheuristic algorithms Type: general – SubjectFull: Structural optimization Type: general – SubjectFull: Tension loads Type: general – SubjectFull: Particle swarm optimization Type: general – SubjectFull: Grey Wolf Optimizer algorithm Type: general – SubjectFull: Robust statistics Type: general – SubjectFull: Stiffness (Engineering) Type: general Titles: – TitleFull: Feasible and robust optimisation of cable forces in suspended bridges: A two-stage metaheuristic approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mascolo, Ida – PersonEntity: Name: NameFull: Sarfarazi, Sina – PersonEntity: Name: NameFull: Modano, Mariano IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00936413 Numbering: – Type: volume Value: 150 Titles: – TitleFull: Mechanics Research Communications Type: main |
| ResultId | 1 |
