Resilience-based seismic design optimization of highway RC bridges by response surface method and improved non-dominated sorting genetic algorithm

Hu, Sicong; Chen, Baokui; Song, Guquan; Wang, Lianhua

doi:10.1007/s10518-021-01232-8

Cited by 14 publications

(3 citation statements)

References 34 publications

(43 reference statements)

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“…A non-exhaustive list of examples may include procedures targeting displacement as a decision variable, such as direct displacement-based design 8 or yield point spectra 9 ; methods targeting seismic fragility (e.g., refs. [10,11]), both used for new design or retrofit; procedures targeting the mean annual frequency of exceeding a given DS, such as the yield frequency spectra approach 12 , the probabilistic displacement-based design 13,14 , or the risk-targeted force-based design 15 ; procedures targeting losses, discussed in more details below; resilience-based methods 16 . A review of different possible performance-based design approaches is given in refs.…”

Section: Noveltymentioning

confidence: 99%

Direct loss‐based seismic design of reinforced concrete frame and wall structures

Gentile

Calvi

2023

Earthq Engng Struct Dyn

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This paper presents a procedure to design reinforced concrete (RC) buildings to achieve an acceptable target level of earthquake‐induced loss (e.g., deaths, dollars, downtime) under a site‐specific hazard profile. The procedure is called “direct” since the target loss level is specified at the first step of the process, and virtually no iteration is required. The procedure is based on a simplified loss assessment involving a surrogate model for the seismic demand (i.e., probability distribution of peak horizontal deformation given ground‐motion intensity) and simplified loss models for direct and indirect losses. For an arbitrarily‐selected target loss level and structural geometry, the procedure provides the force‐displacement curve of the corresponding equivalent single degree of freedom system. The principles of displacement‐based design are adopted to provide member detailings (beams, columns, walls) consistent with such force‐displacement curve. The procedure is applied to 16 realistic RC case studies with a lateral resisting system composed of frames in one direction and cantilever walls in the perpendicular one. They show different geometries, hazard profiles, and target values of direct economic expected annual loss. A benchmark loss estimation is obtained using cloud‐based non‐linear time‐history analyses of multi‐degree of freedom models. The procedure is conservative since the benchmark loss levels are always smaller than the targets. Such discrepancy is within 10% for 12 out of 32 case studies, between 10% and 20% for 13, between 20% and 31% for the remaining six. Therefore, the proposed procedure is deemed dependable for preliminary design.

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Section: Noveltymentioning

confidence: 99%

Direct loss‐based seismic design of reinforced concrete frame and wall structures

Gentile

Calvi

2023

Earthq Engng Struct Dyn

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“…Resilience was first introduced in the engineering domain by Bruneau et al (2003), where they proposed its four characteristics: robustness, rapidity, redundancy, and resourcefulness, along with technical, organizational, social, and economic dimensions (Bruneau et al, 2003). Bridge seismic resilience refers to the bridge's ability to withstand the impact and quickly recover to its original state after an earthquake (Fu et al, 2024;Hu et al, 2022), ensuring the bridge's fundamental functions and maintaining traffic flow after the disaster.…”

Section: Introductionmentioning

confidence: 99%

Prioritizing Bridges for Seismic Resilience Enhancement: A Case Study of Algeria

Abdellaoui,

Badaoui,

Bensaibi

et al. 2024

J. Eng. Exact Sci.

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Algeria is located in an active seismic zone, making its bridges vulnerable to damage, especially older ones. Due to the importance of bridges in terms of safety, social, and economic factors, competent authorities must prepare for disasters, particularly earthquakes, by enhancing bridge resilience. However, due to the large number of bridges and lack of funding, it is not feasible to improve all bridges at once. This article proposes a model to determine priorities for enhancing bridge resilience to earthquakes based on expert opinions in three main steps. Step 1: Identification of key criteria, where design phase, bridge health, seismic zone, bridge importance, availability of alternative roads, and disaster insurance are defined as key criteria. Step 2: Calculation of criteria weights using the analytic hierarchy process (AHP) and integration of expert opinions using the Euclidean distance-based aggregation method (EDBAM). Step 3: Calculation of the priority index after evaluating criteria categories. The model was applied to six bridges, and their ranking was established based on the priority index. The model has proven its accuracy and ability to assist decision-makers in identifying priority bridges.

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“…In recent years, scholars have carried out detailed research on the application of the RSM in civil engineering. The extant literature has mainly focused on the local components (mainly simply supported beams), the damage identification of girders [3,4], bridge piers [5], and stay cables [6], and the seismic design of bridges with simple structures [7][8][9]. Moreover, the results of load tests have been used to correct the FE models of bridges undergoing service modification [10][11][12][13][14], and the experimental design method has been adopted to study the mechanical properties of new building materials [15].…”

Section: Introductionmentioning

confidence: 99%

The Structural Design and Optimization of Top-Stiffened Double-Layer Steel Truss Bridges Based on the Response Surface Method and Particle Swarm Optimization

Wang,

Xi,

Guo

et al. 2023

Applied Sciences

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A lightweight design optimization algorithm is proposed to optimize the design parameters of stiffened double-layer steel girder bridges, the aim of which is to improve structural safety and reduce superstructure works. Taking a top-stiffened double-layer steel truss bridge as the reference project, a multiscale mixed-element model of the initial design parameters is established, and its computational accuracy is verified. Considering the structural configuration and loading characteristics of the bridge, the elastic modulus of steel, the deck plate thickness, the stiffening vertical bar height, and the relative distance between the double-layer main girders are selected as the design parameters for optimization. The mid-span vertical deflection, the axial forces in the stiffeners, the bottom plate of the deck, the compressed web tube at the pier top, and the quantity of superstructure works are chosen as the objective functions to be minimized. A lightweight calculation equation reflecting the relationship between the optimization parameters and the objective functions is established using the response surface method (RSM). Subsequently, an improved weighted particle swarm optimization (WPSO) model is employed to perform the multi-objective optimization of the design parameters for the bridge, and the results are compared with those obtained from the multi-objective genetic algorithm NSGA-II. The results show that the RSM accurately fits the numerical relationship between the optimization parameters and the objective response functions. When minimizing the quantity of superstructure works as the primary control objective and minimizing the mid-span vertical deflection and the axial forces in the compressed web tube at the pier top as secondary control objectives, the optimization results achieved by WPSO outperform those obtained by NSGA-II. The optimized results lead to reductions of 11.09%, 3.92%, 7.56%, 4.45%, and 8.38% in the respective objective function values of the structure. This method has important theoretical significance for the optimization of structural design parameters.

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Resilience-based seismic design optimization of highway RC bridges by response surface method and improved non-dominated sorting genetic algorithm

Cited by 14 publications

References 34 publications

Direct loss‐based seismic design of reinforced concrete frame and wall structures

Direct loss‐based seismic design of reinforced concrete frame and wall structures

Prioritizing Bridges for Seismic Resilience Enhancement: A Case Study of Algeria

The Structural Design and Optimization of Top-Stiffened Double-Layer Steel Truss Bridges Based on the Response Surface Method and Particle Swarm Optimization

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