Optimal sustainable life cycle maintenance strategies for port infrastructures

Port operations are highly important in the central economic and industrial regions which rely heavily on the use of port infrastructures. An economic and efficient maintenance strategy is essential to govern the normal running of port infrastructures and thus seaborne transportation. Many agencies...

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Main Authors: Zhang, Yi, Kim, Chul-Woo, Tee, Kong Fah, Lam, Jasmine Siu Lee
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2017
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Online Access:https://hdl.handle.net/10356/83438
http://hdl.handle.net/10220/42588
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-834382020-03-07T11:43:35Z Optimal sustainable life cycle maintenance strategies for port infrastructures Zhang, Yi Kim, Chul-Woo Tee, Kong Fah Lam, Jasmine Siu Lee School of Civil and Environmental Engineering Sustainability Life cycle analysis Port operations are highly important in the central economic and industrial regions which rely heavily on the use of port infrastructures. An economic and efficient maintenance strategy is essential to govern the normal running of port infrastructures and thus seaborne transportation. Many agencies worldwide have managed to develop maintenance strategies to ensure optimal levels of serviceability and safety for port infrastructures. However, there is not much information about how sustainable issues can be implemented in the maintenance planning. This paper proposes a methodology for evaluating, comparing and improving sustainability of maintenance strategies for port infrastructures. The method is developed based on a proposed randomized structural deterioration model. The costs due to retrofitting, operating loss and environmental loss are considered in the total life cycle cost estimation. The concept of utility function is utilized to serve as a criterion for finding the optimal strategy among the alternative maintenance strategies. An investigation is performed on a Tokyo wharf to demonstrate the proposed approach. The maintenance strategies for different structural elements in the port infrastructures are discussed. The results show that the proposed approach can provide more reliable information on the maintenance timing. The predicted cost bounds allow owners/risk managers to understand the current condition of the structure in several ways, which include both safe-side prediction and average prediction. Accepted version 2017-06-06T07:24:49Z 2019-12-06T15:22:53Z 2017-06-06T07:24:49Z 2019-12-06T15:22:53Z 2016 Journal Article Zhang, Y., Kim, C.-W., Tee, K. F., & Lam, J. S. L. (2017). Optimal sustainable life cycle maintenance strategies for port infrastructures. Journal of Cleaner Production, 142, 1693-1709. 0959-6526 https://hdl.handle.net/10356/83438 http://hdl.handle.net/10220/42588 10.1016/j.jclepro.2016.11.120 en Journal of Cleaner Production © 2016 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Cleaner Production, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.jclepro.2016.11.120]. 39 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Sustainability
Life cycle analysis
spellingShingle Sustainability
Life cycle analysis
Zhang, Yi
Kim, Chul-Woo
Tee, Kong Fah
Lam, Jasmine Siu Lee
Optimal sustainable life cycle maintenance strategies for port infrastructures
description Port operations are highly important in the central economic and industrial regions which rely heavily on the use of port infrastructures. An economic and efficient maintenance strategy is essential to govern the normal running of port infrastructures and thus seaborne transportation. Many agencies worldwide have managed to develop maintenance strategies to ensure optimal levels of serviceability and safety for port infrastructures. However, there is not much information about how sustainable issues can be implemented in the maintenance planning. This paper proposes a methodology for evaluating, comparing and improving sustainability of maintenance strategies for port infrastructures. The method is developed based on a proposed randomized structural deterioration model. The costs due to retrofitting, operating loss and environmental loss are considered in the total life cycle cost estimation. The concept of utility function is utilized to serve as a criterion for finding the optimal strategy among the alternative maintenance strategies. An investigation is performed on a Tokyo wharf to demonstrate the proposed approach. The maintenance strategies for different structural elements in the port infrastructures are discussed. The results show that the proposed approach can provide more reliable information on the maintenance timing. The predicted cost bounds allow owners/risk managers to understand the current condition of the structure in several ways, which include both safe-side prediction and average prediction.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Zhang, Yi
Kim, Chul-Woo
Tee, Kong Fah
Lam, Jasmine Siu Lee
format Article
author Zhang, Yi
Kim, Chul-Woo
Tee, Kong Fah
Lam, Jasmine Siu Lee
author_sort Zhang, Yi
title Optimal sustainable life cycle maintenance strategies for port infrastructures
title_short Optimal sustainable life cycle maintenance strategies for port infrastructures
title_full Optimal sustainable life cycle maintenance strategies for port infrastructures
title_fullStr Optimal sustainable life cycle maintenance strategies for port infrastructures
title_full_unstemmed Optimal sustainable life cycle maintenance strategies for port infrastructures
title_sort optimal sustainable life cycle maintenance strategies for port infrastructures
publishDate 2017
url https://hdl.handle.net/10356/83438
http://hdl.handle.net/10220/42588
_version_ 1681034361681477632