2021
DOI: 10.1155/2021/6615746
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Multiobjective Optimization of Cable Forces and Counterweights for Universal Cable-Stayed Bridges

Abstract: In cable-stayed bridges, especially asymmetric bridges, counterweights are always made to work together with cable pretension forces to get a reasonable finished state. To solve the optimization problem of the cable-stayed bridge considering the counterweights, the integrated optimization method (IOM) for estimating cable forces and counterweights is proposed. In this method, the counterweights are proposed to act on the anchor points. After that, the summary of the minimum weighted total bending energy and th… Show more

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Cited by 9 publications
(8 citation statements)
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“…For example, researchers may look at reducing both weight and deflection at the same time (Thompson et al, 2006). Multi-objective optimization problems are more difficult to solve, necessitating the use of more advanced computational techniques (Wang et al, 2021b). Another significant point of contention is that, contrary to multi-objective optimization's fundamental nature, there is no unique solution that accomplishes the best of all objectives at the same time (Dong et al, 2014).…”
Section: Formulation Of Optimization Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, researchers may look at reducing both weight and deflection at the same time (Thompson et al, 2006). Multi-objective optimization problems are more difficult to solve, necessitating the use of more advanced computational techniques (Wang et al, 2021b). Another significant point of contention is that, contrary to multi-objective optimization's fundamental nature, there is no unique solution that accomplishes the best of all objectives at the same time (Dong et al, 2014).…”
Section: Formulation Of Optimization Problemmentioning
confidence: 99%
“…, 2006). Multi-objective optimization problems are more difficult to solve, necessitating the use of more advanced computational techniques (Wang et al. , 2021b).…”
Section: Components Of Optimization Phenomenonmentioning
confidence: 99%
“…For example, researchers may look at reducing both weight and deflection at the same time [63,64]. Multi-objective optimization problems are more difficult to solve, necessitating the use of more advanced computational techniques [65]. Another significant point of contention is that, contrary to multiobjective optimization's fundamental nature, there is no unique solution that accomplishes the best of all objectives at the same time [66].…”
Section: Formulation Of Optimization Problemsmentioning
confidence: 99%
“…Furthermore, determining the optimal structural cable force is generally not a single-objective optimization problem. In such cases, designers must consider multiple optimization objectives and determine the optimal solution simultaneously [4][5][6] . This paper investigates an optimization method based on a genetic algorithm (GA).…”
Section: Introductionmentioning
confidence: 99%