Dynamic Analysis of a Composite Cable-Stayed Bridge: Escaleritas Viaduct

Pantaleón, Marcos J.; Ramos, Óscar Ramón; Ortega, Guillermo; Martínez, José Manuel Cifrián; Schanack, Frank

doi:10.1061/(asce)be.1943-5592.0000116

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Despite their advantages, AI applications face disadvantages such as requiring sufficient data inputs and the optimal configuration of hyper-parameters. Due to the myriad difficulties involved in collecting adequate data on a sufficiently large number of damaged structures such as bridges, 17 Narazaki et al 11 proposed using synthetic data to train machine learning models, suggesting that the addition of synthetic data improves recognition accuracy by ten percent. 18 Furthermore, finding the optimal configuration of AI model hyper-parameters is typically a tedious and time-consuming process.…”

Section: Introductionmentioning

confidence: 99%

Automated vision-based post-earthquake safety assessment for bridges using STF-PointRend and EfficientNetB0

Cheng

Sholeh

Harsono

2023

Structural Health Monitoring

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Bridges are critical transportation infrastructure in Taiwan that are at high risk of structural damage during major earthquake incidents. The structural health monitoring method currently used to assess bridge safety nationwide is labor-intensive and expensive to implement. In this study, a novel automated bridge safety assessment system was developed to facilitate post-earthquake bridge inspections using symbiotic organism search-transfer learning-PointRend (STF-PointRend) for component and damage type detection, EfficientNetB0 for damage level detection, and earthquake resistance index for safety assessment. In the case studies, the STF-PointRend model obtained good testing results, with global mean Intersection over Union values of 76.31 and 75.47% for bridge-component and damage-type detections. Furthermore, the EfficientNetB0 model obtained an average F1 score of 0.86 for damage-level detection in the testing results. The developed model was used to conduct a safety evaluation of two bridges (Lempenge I and Luk I) that had suffered damage in a 2018 earthquake in Palu, Indonesia. The earthquake-resistance scores of 56.15 and 53.21 respectively earned by the two bridges indicate that both require immediate maintenance.

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Section: Introductionmentioning

confidence: 99%

Automated vision-based post-earthquake safety assessment for bridges using STF-PointRend and EfficientNetB0

Cheng

Sholeh

Harsono

2023

Structural Health Monitoring

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“…Many researchers have studied the dynamic behavior during ambient vibration and seismic response under multi-support excitations on long-span cable-stayed bridges, where the influences of the traveling wave effect, coherence loss, and local site conditions should be considered. For example, Wilson and Gravelle (1991), Ren et al (2005), and Pantaleon et al (2010) studied the dynamic behaviors of cable-stayed bridges through 3D finite-element (FE) models. In these studies, the modal behaviors predicted by the FE models were compared to the measured characteristics from ambient vibrations of full-scale cable-stayed bridges.…”

Section: Introductionmentioning

confidence: 99%

Seismic response study on a multi-span cable-stayed bridge scale model under multi-support excitations. Part II: numerical analysis

Zhou

Zong

Huang

et al. 2014

J. Zheijang Univ.-Sci.

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Abstract:In recent years, local component destruction, collapse failure and the control of long-span cable-stayed bridges under strong multi-support excitations have received increasing attention. In this paper, two kinds of nonlinear finite element (FE) models are established to simulate the seismic responses and failure modes of a multi-span cable-stayed bridge scale model under multi-support excitations. One is the single girder model which is used to simulate the seismic response during four wave excitations. It can be concluded that the FE analysis results of the scale model are a good fit with those from the shaking table tests. The other one is the explicit dynamic FE model which is used to simulate the collapse and failure mechanisms of the scale model during strong earthquakes. The aggressive failure processes of the scale model under two different types of wave excitations were compared to reproduce the mechanisms in which the bearing at the middle tower failed under the El Centro (EC) wave (4.0 m/s 2 ), and we also observed the connection failure of the cables and towers, and the elements failure of the upper beam in the middle tower, which occurred successively under a Jiangxin (JX) wave (4.0 m/s 2 ). This simulation may be referenced as the basis for the collapse failure of a cable-stayed bridge with a large span during a strong earthquake.

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Experimental and numerical analysis of stiffened curved plates as bottom flanges of steel bridges

Piculin

Može

2020

Journal of Constructional Steel Research

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Dynamic Analysis of a Composite Cable-Stayed Bridge: Escaleritas Viaduct

Cited by 4 publications

References 5 publications

Automated vision-based post-earthquake safety assessment for bridges using STF-PointRend and EfficientNetB0

Automated vision-based post-earthquake safety assessment for bridges using STF-PointRend and EfficientNetB0

Seismic response study on a multi-span cable-stayed bridge scale model under multi-support excitations. Part II: numerical analysis

Experimental and numerical analysis of stiffened curved plates as bottom flanges of steel bridges

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