An energy balance method for seismic analysis of cable-stayed bridges

Moghaddam, Sina Heyrani; Shooshtari, Ahmad

doi:10.1680/jstbu.18.00016

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…In order to overcome the deficiency of seismic test research, a series of theoretical analysis methods have been proposed. At present, the methods commonly used in the theoretical seismic response analysis of building structures are the static force method, response spectrum method, energy method, and push-over method [14][15][16]. These methods have the advantages of simple calculation and stable analysis results, so they are widely used in practical seismic design.…”

Section: Finite Element Methods Finite Difference Methodsmentioning

confidence: 99%

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Response Prediction for Linear and Nonlinear Structures Based on Data-Driven Deep Learning

Liao

Tang

et al. 2023

Applied Sciences

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Dynamic analysis of structures is very important for structural design and health monitoring. Conventional numerical or experimental methods often suffer from the great challenges of analyzing the responses of linear and nonlinear structures, such as high cost, poor accuracy, and low efficiency. In this study, the recurrent neural network (RNN) and long short-term memory (LSTM) models were used to predict the responses of structures with or without nonlinear components. The time series k-means (TSkmeans) algorithm was used to divide label data into different clusters to enhance the generalization of the models. The models were trained with different cluster acceleration records and the corresponding structural responses obtained by numerical methods, and then predicted the responses of nonlinear and linear structures under different seismic waves. The results showed that the two deep learning models had a good ability to predict the time history response of a linear system. The RNN and LSTM models could roughly predict the response trend of nonlinear structures, but the RNN model could not reproduce the response details of nonlinear structures (high-frequency characteristics and peak values).

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Section: Finite Element Methods Finite Difference Methodsmentioning

confidence: 99%

“…Response spectrum method Push-over method Energy method Simple calculation, low computing costs, stable analysis results/Cannot reflect the dynamic characteristics, limited range of application, poor accuracy [14][15][16] Numerical analysis…”

Section: Seismic Testing Shaking Table Loading Seismic Simulatormentioning

confidence: 99%

Response Prediction for Linear and Nonlinear Structures Based on Data-Driven Deep Learning

Liao

Tang

et al. 2023

Applied Sciences

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“…Currently, a series of studies have focused on the performance of the cable-stayed bridges. Heyrani Moghaddam et al [4] proposed a seismic evaluation procedure for a cablestayed bridge based on the energy balance concept, which could estimate its seismic responses with good accuracy. Choi et al [5] investigated the ultimate behavior of steel cable-stayed bridges and found that the inelastic buckling analysis was an effective approximation method for obtaining the ultimate load capacity of the long span cablestayed bridges.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Performance Analysis of a Curved Cable‐Stayed Bridge Based on the Direct Method and the Sensitivity‐Based Iterative Method

Fenu

et al. 2022

Advances in Civil Engineering

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Curved cable-stayed bridges have been regularly accepted due to their ability to cross long spans, and a number of studies have been conducted to investigate the mechanical or dynamic performance of them. Meanwhile, currently just a few studies focus on the curved composite cable-stayed bridges. In this study, an operational modal testing and finite element model updating of a conventional straight bridge with the steel-concrete composite girder were conducted to investigate the performance of the potential methods for the model updating, which included the direct method and the sensitivity-based iterative method. Then, dynamic tests were performed for one typical curved steel-concrete composite cable-stayed bridge as the key case study. A highly refined finite element model of the bridge was developed and then calibrated based on the aforementioned methods in reference to the experimental results. Finally, the dynamic behavior of the curved steel-concrete composite cable-stayed bridge was studied based on the model. It is found that the solution accuracy of the finite element model can be improved significantly by employing the structural health monitoring technique. Moreover, by using the iterative method, the solutions of the updating parameters are generally more accurate compared with the solutions of the direct method. Nevertheless, when the appropriate choices are made for the algorithmic parameters, both methods can lead to the updated models with satisfactory numerical analysis results as compared to the experimental data.

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Mode selection and combination rules of energy-based multimodal pushover method for simply supported beam bridges

He,

Li,

et al. 2024

Structures

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An energy balance method for seismic analysis of cable-stayed bridges

Cited by 4 publications

References 14 publications

Response Prediction for Linear and Nonlinear Structures Based on Data-Driven Deep Learning

Response Prediction for Linear and Nonlinear Structures Based on Data-Driven Deep Learning

Dynamic Performance Analysis of a Curved Cable‐Stayed Bridge Based on the Direct Method and the Sensitivity‐Based Iterative Method

Mode selection and combination rules of energy-based multimodal pushover method for simply supported beam bridges

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