Bridge Seismic Damage Assessment Model Applying Artificial Neural Networks and the Random Forest Algorithm

Jia, Hanxi; Jun, Lin; Liu, Jinlong

doi:10.1155/2020/6548682

Cited by 15 publications

(10 citation statements)

References 41 publications

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“…Te most common method to improve the seismic performance of the continuous girder bridges is by installing multiple isolation devices. Researchers have performed substantial research on installing isolation bearings and viscous dampers for continuous beam bridges and obtained considerable research results [2][3][4][5][6][7][8]. Kelly and Eidinger [9] and Kelly [10] proposed the system theory and design method of laminated rubber bearing and performed tensile test research on their approach.…”

Section: Introductionmentioning

confidence: 99%

Seismic Reduction Performance of Wrap Rope Connection Devices for Continuous Girder Bridges

Liu

Zhang

et al. 2023

Advances in Civil Engineering

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In this article, wrap rope connection device (WRCD), which considers the relative acceleration of piers and beam as a control variable, is proposed for improving the current situation of continuous girder bridges whose bearing force of a single pier is along the longitudinal direction and based on the synergy principle. The WRCD device, which meets the slow displacement requirements of temperature and vehicle load under normal operation, is implemented and used to improve the performance of the sliding bearing pier. During earthquakes, because of the amplification effect of the wrap rope, the instantaneous large stiffness state in the longitudinal force can be achieved. Based on the shaking table test of a typical continuous girder bridge for examining the performance of the WRCD during earthquakes, the dynamic characteristics, structural acceleration, displacement, and strain responses of the structure under different frequency spectra, and seismic input intensities are analyzed and the seismic reduction performance of the WRCD is demonstrated. This analysis demonstrated that, by activating WRCD, the ratio of the acceleration response of the fixed bearing pier to the sliding bearing pier increased from 10% to 57%; moreover, the force on each pier appeared more uniform. Furthermore, with an increase in the input intensity of the earthquake, the displacement of the primary beam and the seismic response of the fixed pier bottom considerably decreased and the synergy effect of each pier was more prominent. Under certain site conditions, the WRCD can effectively improve the synergy effect between the sliding bearing piers and fixed bearing pier; however, the improvement in the obtained result is directly associated with the seismic input characteristics. The design parameters of the WRCD should be determined as per different site conditions and the optimum application range of the WRCD.

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Section: Introductionmentioning

confidence: 99%

Seismic Reduction Performance of Wrap Rope Connection Devices for Continuous Girder Bridges

Liu

Zhang

et al. 2023

Advances in Civil Engineering

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“…However, regardless of the type of isolation bearings adopted, a large relative displacement must be applied to accomplish the ideal damping e ect [4,5]. In recent years, sure researchers have conducted systematic studies on lock-up devices; then, lock-up connections cannot e ectively reduce the impact of seismic activity on low-pier continuous-girder bridges [6][7][8][9][10]. Moreover, owing to cost and late maintenance, there are not many applications in practical engineering.…”

Section: Introductionmentioning

confidence: 99%

Shaking Table Tests on Wrap Rope Connect Device for Continuous‐Beam Bridges with Different Pier Heights

Liu

Zhang

et al. 2022

Advances in Civil Engineering

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To investigate the cooperative and isolation effectiveness of the wrapped rope connect device (WRCD) on continuous-beam bridges with different pier heights, shaking table tests were conducted on a typical three-span continuous-beam bridge model. The model had additional pier stiffness and applied the WRCD. Two actual seismic waves with different spectral characteristics and multiple intensities were used for input ground motion. By examining the performance and measured structural response under various excitations, WRCD could effectively improve the overall cooperative effect of the model structure for a limited increase in the input seismic energy of the system. The acceleration ratio from the fixed pier top to the movable pier top increased from∼17% without the WRCD to∼32% with it. The strain-response ratio of the pier bottom decreased from its maximum of 24.8 times to 3.6 times after the device was applied. There is a specific relationship between the influence and the pier height of the structure, and the rules for high and low piers slightly differ. The movable and fixed ports can be coordinated by setting reasonable design parameters of the WRCD, which can be used for the seismic design of continuous-beam bridges with different pier heights.

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“…Mangalathu et al (2019) and Mangalathu and Jeon (2019), used random forest models to establish the seismic fragility curves for California bridges, and then proposed a method for rapid damage state assessments using ML techniques. Jia et al (2020) sorted the importance levels of the specific characteristics and identified the seismic damages to the bridges following the Wenchuan earthquake according to the ML models. Xu et al (2020) applied ML techniques to predict building structure types, and provided a method for obtaining structural types for a city-scale seismic damage simulation.…”

Section: Introductionmentioning

confidence: 99%

Vibration characteristic analyses of medium-and small-span girder bridge groups in highway systems based on machine learning models

Wang

Guo

2021

Advances in Structural Engineering

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There are large amounts of small-and medium-span girder bridges which bear structural similarity, while the large-scale bridge structures are generally limited in the timely applications of structural vibration characteristics. Therefore, in this study a framework based on machine learning models was proposed to analyze the vibration characteristics of specific line bridge groups. The probability distributions of structural, geometric, and material properties of bridge groups in specific lines were obtained using statistical tools and a Latin hypercube sampling method was used to generate reasonable sample sets for the bridges group, and parameterized finite element models of the bridges were established. Then, the optimal models were tuned and determined to predict fundamental mode and period by the 10-fold cross-validation method applying the numerical simulation results. This study’s results showed that the random forest models divided the vibration modes of the bridge groups into the longitudinal vibrations of the main girders and the longitudinal vibrations of the adjacent spans and side piers with a classification accuracy of greater than 90%, while the artificial neural network models exhibited the lowest normalized mean square error for the periods. The periods mainly ranged between 0.7 and 1.5 s. Furthermore, the bearing settings, ratios of the pier height to section diameters, and boundary types were determined to be the most significant properties influencing the fundamental modes and periods of the examined bridges, by respectively observing the reduced value of the random forest Gini indices and distribution of the generalized weight value of the input variables in artificial neural networks. This study provides an intelligent and efficient method for obtaining vibration characteristics of bridges group for a specific network.

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Bridge Seismic Damage Assessment Model Applying Artificial Neural Networks and the Random Forest Algorithm

Cited by 15 publications

References 41 publications

Seismic Reduction Performance of Wrap Rope Connection Devices for Continuous Girder Bridges

Seismic Reduction Performance of Wrap Rope Connection Devices for Continuous Girder Bridges

Shaking Table Tests on Wrap Rope Connect Device for Continuous‐Beam Bridges with Different Pier Heights

Vibration characteristic analyses of medium-and small-span girder bridge groups in highway systems based on machine learning models

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