Resilience-based optimization model for maintenance and rehabilitation of pavement networks in a freezethaw environment. Mohammed, A., Abu-Samra, S., Zayed, T., Bagchi, A., & Nasiri, F. Canadian Journal of Civil Engineering, 48(4):399 - 410, 2021. Assessment approaches;Assessment models;Level of Service;Maintenance and rehabilitations;Management frameworks;Mathematical denotations;Optimization modeling;Pavement condition;![Resilience-based optimization model for maintenance and rehabilitation of pavement networks in a freezethaw environment [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex According to the Canada infrastructure report 2016, 62.6% of roads in Canada are in a good condition, nevertheless, with current investment rates, significant road networks will suffer a decline in their condition and will be vulnerable to sudden failure. Accordingly, this paper tackles the pavement resilience from an asset management perspective and aims at developing a resilience-based asset management framework for pavement networks. This was carried out through the development of five components: (i) a central database of asset inventory, (ii) a pavement condition and level of service assessment models, (iii) a regression of the effect of freeze–thaw on pavement network, (iv) a financial and temporal models, and (v) an optimization model to formulate the mathematical denotation for the proposed resilience assessment approach and integrate the above components. The model results were promising in terms of maintaining pavement resiliency by selecting a near optimal intervention plan that meets the municipality limitations.
© 2021, Canadian Science Publishing. All rights reserved.
@article{20211510210424 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2023 Elsevier Inc.},
copyright = {Compendex},
title = {Resilience-based optimization model for maintenance and rehabilitation of pavement networks in a freezethaw environment},
journal = {Canadian Journal of Civil Engineering},
author = {Mohammed, Ahmed and Abu-Samra, Soliman and Zayed, Tarek and Bagchi, Ashutosh and Nasiri, Fuzhan},
volume = {48},
number = {4},
year = {2021},
pages = {399 - 410},
issn = {03151468},
abstract = {<div data-language="eng" data-ev-field="abstract">According to the Canada infrastructure report 2016, 62.6% of roads in Canada are in a good condition, nevertheless, with current investment rates, significant road networks will suffer a decline in their condition and will be vulnerable to sudden failure. Accordingly, this paper tackles the pavement resilience from an asset management perspective and aims at developing a resilience-based asset management framework for pavement networks. This was carried out through the development of five components: (i) a central database of asset inventory, (ii) a pavement condition and level of service assessment models, (iii) a regression of the effect of freeze–thaw on pavement network, (iv) a financial and temporal models, and (v) an optimization model to formulate the mathematical denotation for the proposed resilience assessment approach and integrate the above components. The model results were promising in terms of maintaining pavement resiliency by selecting a near optimal intervention plan that meets the municipality limitations.<br/></div> © 2021, Canadian Science Publishing. All rights reserved.},
key = {Asset management},
keywords = {Optimization;Pavements;Thawing;Highway administration;Investments;},
note = {Assessment approaches;Assessment models;Level of Service;Maintenance and rehabilitations;Management frameworks;Mathematical denotations;Optimization modeling;Pavement condition;},
URL = {http://dx.doi.org/10.1139/cjce-2019-0559},
}
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