Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes

Application of cable-stayed bridge types in Malaysia is getting higher demands by the developer due to its cost-effectiveness. However, its high flexibility and low damping behaviour may exhibit a critical response due to earthquake loads. In addition, there are challenges for the bridge authorities...

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Main Author:	Aizon, Nabila Huda
Format:	Thesis
Language:	English
Published:	2021
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/101806/1/NabilaHudaAizonPSKA2021.pdf
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id	my-utm-ep.101806
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spelling	my-utm-ep.1018062023-07-13T01:19:53Z Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes 2021 Aizon, Nabila Huda TA Engineering (General). Civil engineering (General) Application of cable-stayed bridge types in Malaysia is getting higher demands by the developer due to its cost-effectiveness. However, its high flexibility and low damping behaviour may exhibit a critical response due to earthquake loads. In addition, there are challenges for the bridge authorities to decide the severity of bridge condition in post-earthquake events. Therefore, the objectives of this research are, (i) to assess the seismic performance of a cable-stayed bridge under the earthquake time history loading in terms of dynamic behaviour and acceleration response, (ii) to establish fragility curves as guidelines of potential damage level of the cable-stayed bridge components under various earthquake loadings, and (iii) to investigate the applicability of Artificial Neural Network (ANN) as a prediction tool of damage level for cable-stayed bridge’s intelligent decision -making tool in Bridge Health Monitoring System (BHMS). The seismic performances of cable-stayed bridge were obtained by developing the 3D Finite Element Model (FEM). Two types of seismic analyses were implemented in this research, Free Vibration Analysis (FVA) and Non-Linear Time History Analysis (NTHA). Earthquake loads scaled to Peak Ground Acceleration (PGA) with low, moderate, and strong earthquake loads were utilised. The obtained results from the NTHA was then fed to the Feedforward Artificial Neural Network model to obtain a damage level prediction model for the cable-stayed bridge. The acceleration data of structure response were used as input in the ANN model. Meanwhile, the output of training network used the damage levels from the analysis which were Immediate Occupancy (IO), Life Safety (LS), and Collapse Prevention (CP). Data used for the ANN training was 70% of total data, while data used for testing and validation were 15% of the whole data, respectively. The results showed that the proposed artificial intelligent prediction model could provide prediction of up to 83.54% rate of accuracy and the least mean squared error of 0.1549. Next, the fragility curves of each component subjected to earthquake time history parameter were determined. Scaling factors for 14 time histories were calculated to generate IDA curves, which were needed to develop fragility curves. The pushover analysis and NTHA also needed to build the IDA curve. From the fragility curves, it was concluded that different bridge components have different probabilities of damage level occurrence due to specified earthquake time history parameters. This research was verified using on-site modal testing to compare the modal parameter with the FEM. The studied dynamic behaviour of cable-stayed bridges, as well as damage assessment through fragility curves and ANN approach, will greatly assist authorities in maintaining the structural integrity of their bridges by detecting and predicting the likelihood of damage under earthquake loads. 2021 Thesis http://eprints.utm.my/id/eprint/101806/ http://eprints.utm.my/id/eprint/101806/1/NabilaHudaAizonPSKA2021.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:146125 phd doctoral Universiti Teknologi Malaysia Faculty of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Aizon, Nabila Huda Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes
description	Application of cable-stayed bridge types in Malaysia is getting higher demands by the developer due to its cost-effectiveness. However, its high flexibility and low damping behaviour may exhibit a critical response due to earthquake loads. In addition, there are challenges for the bridge authorities to decide the severity of bridge condition in post-earthquake events. Therefore, the objectives of this research are, (i) to assess the seismic performance of a cable-stayed bridge under the earthquake time history loading in terms of dynamic behaviour and acceleration response, (ii) to establish fragility curves as guidelines of potential damage level of the cable-stayed bridge components under various earthquake loadings, and (iii) to investigate the applicability of Artificial Neural Network (ANN) as a prediction tool of damage level for cable-stayed bridge’s intelligent decision -making tool in Bridge Health Monitoring System (BHMS). The seismic performances of cable-stayed bridge were obtained by developing the 3D Finite Element Model (FEM). Two types of seismic analyses were implemented in this research, Free Vibration Analysis (FVA) and Non-Linear Time History Analysis (NTHA). Earthquake loads scaled to Peak Ground Acceleration (PGA) with low, moderate, and strong earthquake loads were utilised. The obtained results from the NTHA was then fed to the Feedforward Artificial Neural Network model to obtain a damage level prediction model for the cable-stayed bridge. The acceleration data of structure response were used as input in the ANN model. Meanwhile, the output of training network used the damage levels from the analysis which were Immediate Occupancy (IO), Life Safety (LS), and Collapse Prevention (CP). Data used for the ANN training was 70% of total data, while data used for testing and validation were 15% of the whole data, respectively. The results showed that the proposed artificial intelligent prediction model could provide prediction of up to 83.54% rate of accuracy and the least mean squared error of 0.1549. Next, the fragility curves of each component subjected to earthquake time history parameter were determined. Scaling factors for 14 time histories were calculated to generate IDA curves, which were needed to develop fragility curves. The pushover analysis and NTHA also needed to build the IDA curve. From the fragility curves, it was concluded that different bridge components have different probabilities of damage level occurrence due to specified earthquake time history parameters. This research was verified using on-site modal testing to compare the modal parameter with the FEM. The studied dynamic behaviour of cable-stayed bridges, as well as damage assessment through fragility curves and ANN approach, will greatly assist authorities in maintaining the structural integrity of their bridges by detecting and predicting the likelihood of damage under earthquake loads.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Aizon, Nabila Huda
author_facet	Aizon, Nabila Huda
author_sort	Aizon, Nabila Huda
title	Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes
title_short	Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes
title_full	Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes
title_fullStr	Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes
title_full_unstemmed	Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes
title_sort	appraisal and performance prediction of senai-desaru expressway cable-stayed bridge subject to earthquakes
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Civil Engineering
publishDate	2021
url	http://eprints.utm.my/id/eprint/101806/1/NabilaHudaAizonPSKA2021.pdf
_version_	1776100776033124352

Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes

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