Optimizing earthquake design of reinforced concrete bridge infrastructures based on evolutionary computation techniques

Camacho, Vítor T.; Horta, Nuno; Lopes, Mário; Oliveira, Carlos Sousa

doi:10.1007/s00158-019-02407-3

Cited by 10 publications

(3 citation statements)

References 35 publications

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“…Other applications of optimisation in structural concrete design include targeting seismic performance objectives [483][484][485], the optimisation of prestressed concrete members [486], and defining critical concrete structures general topology, from the Optimisation of Continua, as performed by Wu and Wu for bridge pylons [487]. These works will, most certainly, have a contribution also for steel and concrete composite structures.…”

Section: Concrete Structural Designmentioning

confidence: 99%

Topology Optimisation in Structural Steel Design for Additive Manufacturing

2021

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Topology Optimisation is a broad concept deemed to encapsulate different processes for computationally determining structural materials optimal layouts. Among such techniques, Discrete Optimisation has a consistent record in Civil and Structural Engineering. In contrast, the Optimisation of Continua recently emerged as a critical asset for fostering the employment of Additive Manufacturing, as one can observe in several other industrial fields. With the purpose of filling the need for a systematic review both on the Topology Optimisation recent applications in structural steel design and on its emerging advances that can be brought from other industrial fields, this article critically analyses scientific publications from the year 2015 to 2020. Over six hundred documents, including Research, Review and Conference articles, added to Research Projects and Patents, attained from different sources were found significant after eligibility verifications and therefore, herein depicted. The discussion focused on Topology Optimisation recent approaches, methods, and fields of application and deepened the analysis of structural steel design and design for Additive Manufacturing. Significant findings can be found in summarising the state-of-the-art in profuse tables, identifying the recent developments and research trends, as well as discussing the path for disseminating Topology Optimisation in steel construction.

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Section: Concrete Structural Designmentioning

confidence: 99%

Topology Optimisation in Structural Steel Design for Additive Manufacturing

2021

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“…These structures include reinforced concrete (RC) building frames (Liu et al 2020), wind turbine foundations (Mathern et al 2022), or bridge decks (Jaouadi et al 2020). These methods have also been applied to beam (Camacho et al 2020;García-Segura et al 2017) and cable-stayed (Martins et al 2020) bridges among others.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of steel–concrete composite bridge based on a transfer function discrete swarm intelligence algorithm

García

Martí

Yepes

2022

Struct Multidisc Optim

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Bridge optimization can be complex because of the large number of variables involved in the problem. In this paper, two box-girder steel–concrete composite bridge single objective optimizations have been carried out considering cost and CO$$_{2}$$ 2 emissions as objective functions. Taking CO$$_{2}$$ 2 emissions as an objective function allows to add sustainable criteria to compare the results with cost. SAMO2, SCA, and Jaya metaheuristics have been applied to reach this goal. Transfer functions have been implemented to fit SCA and Jaya to the discontinuous nature of the bridge optimization problem. Furthermore, a Design of Experiments has been carried out to tune the algorithm to set its parameters. Consequently, it has been observed that SCA shows similar values for objective cost function as SAMO2 but improves computational time by 18% while also getting lower values for the objective function result deviation. From a cost and CO$$_{2}$$ 2 optimization analysis, it has been observed that a reduction of 2.51 kg CO$$_{2}$$ 2 is obtained by each euro reduced using metaheuristic techniques. Moreover, for both optimization objectives, it is observed that adding cells to bridge cross-sections improves not only the section behavior but also the optimization results. Finally, it is observed that the proposed design of double composite action in the supports allows to remove continuous longitudinal stiffeners in the bottom flange in this study.

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“…These structures include Reinforced Concrete (RC) building frames [229], wind turbine foundations [230] or bridge decks [231]. These methods have also been applied to beam [165], [232] and cable-stayed [16] bridges among others.…”

Section: Introductionmentioning

confidence: 99%

Optimal Deep Learning Assisted Design of Socially and Environmentally Efficient Steel Concrete Composite Bridges under Constrained Budgets

Martínez Muñoz

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Steel-concrete composite bridges are used as an alternative to concrete bridges because of their ability to adapt their geometry to design constraints and the possibility of reusing some of the materials in the structure. In this review, we report the research carried out on the design, behavior, optimization, construction processes, maintenance, impact assessment, and decision-making techniques of composite bridges in order to arrive at a complete design approach. In addition to a qualitative analysis, a multivariate analysis is used to identify knowledge gaps related to bridge design and to detect trends in research. An additional objective is to make visible the gaps in the sustainable design of composite steel-concrete bridges, which allows us to focus on future research studies. The results of this work show how researchers have concentrated their studies on the preliminary design of bridges with a mainly economic approach, while at a global level, concern is directed towards the search for sustainable solutions. It is found that life cycle impact assessment and decisionmaking strategies allow bridge managers to improve decision-making, particularly at the end of the life cycle of composite bridges.

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Optimizing earthquake design of reinforced concrete bridge infrastructures based on evolutionary computation techniques

Cited by 10 publications

References 35 publications

Topology Optimisation in Structural Steel Design for Additive Manufacturing

Topology Optimisation in Structural Steel Design for Additive Manufacturing

Optimal design of steel–concrete composite bridge based on a transfer function discrete swarm intelligence algorithm

Optimal Deep Learning Assisted Design of Socially and Environmentally Efficient Steel Concrete Composite Bridges under Constrained Budgets

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