Estimation of structural response using convolutional neural network: application to the Suramadu bridge

Arya Panji Pamuncak; Mohammad Reza Salami; Augusta Adha; Bambang Budiono; Irwanda Laory

doi:10.1108/EC-12-2020-0695

Estimation of structural response using convolutional neural network: application to the Suramadu bridge

Arya Panji Pamuncak^*, Mohammad Reza Salami, Augusta Adha, Bambang Budiono, Irwanda Laory

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Citations (SciVal)

Original language	English
Pages (from-to)	4047-4065
Number of pages	19
Journal	Engineering Computations (Swansea, Wales)
Volume	38
Issue number	10
DOIs	https://doi.org/10.1108/EC-12-2020-0695
Publication status	Published (VoR) - 2021

Funding

This study is funded by the British Council (Grant ID: 217544274), and Indonesian Endowment Fund for Education (PRJ-589/LPDP.3/2017 and S-2160/LPDP.4/2019). The writers would also like to acknowledge the support from the Indonesian Ministry of Public Works and Housing (IMPWH) and the University of Warwick, UK. Any opinions, findings and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the IMPWH.

Keywords

Cable force
Cable-stayed bridge
Convolutional neural networks
Data-based interpretation
Structural health monitoring

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10.1108/EC-12-2020-0695

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keywords = "Cable force, Cable-stayed bridge, Convolutional neural networks, Data-based interpretation, Structural health monitoring",

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AU - Pamuncak, Arya Panji

AU - Salami, Mohammad Reza

AU - Adha, Augusta

AU - Budiono, Bambang

AU - Laory, Irwanda

N1 - Funding Information: This study is funded by the British Council (Grant ID: 217544274), and Indonesian Endowment Fund for Education (PRJ-589/LPDP.3/2017 and S-2160/LPDP.4/2019). The writers would also like to acknowledge the support from the Indonesian Ministry of Public Works and Housing (IMPWH) and the University of Warwick, UK. Any opinions, findings and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the IMPWH. Publisher Copyright: © 2021, Emerald Publishing Limited.

PY - 2021

Y1 - 2021

KW - Cable force

KW - Cable-stayed bridge

KW - Convolutional neural networks

KW - Data-based interpretation

KW - Structural health monitoring

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M3 - Article

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ER -

Estimation of structural response using convolutional neural network: application to the Suramadu bridge

Funding

Keywords

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