Deterioration Models for Bridge Pavement Materials for a Life Cycle Cost Analysis
As the Framework Act on Sustainable Infrastructure Management has recently been enacted in Korea, it has become mandatory to establish a medium-and long-term plan for managing social infrastructure and evaluating the feasibility of maintenance projects. However, road agencies are experiencing proble...
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Veröffentlicht in: | Sustainability 2022-09, Vol.14 (18), p.11435 |
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description | As the Framework Act on Sustainable Infrastructure Management has recently been enacted in Korea, it has become mandatory to establish a medium-and long-term plan for managing social infrastructure and evaluating the feasibility of maintenance projects. However, road agencies are experiencing problems due to a lack of deterioration models which are essential to conducting a life cycle cost analysis. Thus, this study developed deterioration models for bridge pavements as the first step to secure the power of execution of the Infrastructure Management Act. The deterioration model subdivided pavement materials into asphalt, conventional concrete, and latex-modified concrete. This study analyzed the data on diagnosis for the last 12 years in Korea by applying the Bayesian Markov Hazard Model. The average life expectancy by pavement type was analyzed as follows: 12.8 years for asphalt pavement; 23.4 years for concrete pavement; and 9.8 years for latex-modified concrete pavement. For the probabilistic life cycle cost analysis and risk management, probability distributions of life expectancy, effective range by confidence level, and Markov transition probability were presented. This study lays a foundation for deterministic and probabilistic life cycle cost analysis of bridge pavement. Future studies need to develop deterioration models standardized for all components of bridges and all types of social infrastructure. |
doi_str_mv | 10.3390/su141811435 |
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However, road agencies are experiencing problems due to a lack of deterioration models which are essential to conducting a life cycle cost analysis. Thus, this study developed deterioration models for bridge pavements as the first step to secure the power of execution of the Infrastructure Management Act. The deterioration model subdivided pavement materials into asphalt, conventional concrete, and latex-modified concrete. This study analyzed the data on diagnosis for the last 12 years in Korea by applying the Bayesian Markov Hazard Model. The average life expectancy by pavement type was analyzed as follows: 12.8 years for asphalt pavement; 23.4 years for concrete pavement; and 9.8 years for latex-modified concrete pavement. For the probabilistic life cycle cost analysis and risk management, probability distributions of life expectancy, effective range by confidence level, and Markov transition probability were presented. This study lays a foundation for deterministic and probabilistic life cycle cost analysis of bridge pavement. Future studies need to develop deterioration models standardized for all components of bridges and all types of social infrastructure.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su141811435</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Asphalt ; Asphalt pavements ; Asset management ; Bayesian analysis ; Bridges ; Concrete ; Concrete pavements ; Confidence intervals ; Cost analysis ; Deterioration ; Distribution (Probability theory) ; Economic aspects ; Health aspects ; Infrastructure ; Infrastructure (Economics) ; Latex ; Laws, regulations and rules ; Life cycle assessment ; Life expectancy ; Life span ; Markov analysis ; Mathematical models ; Mechanical wear ; Methods ; Pavement deterioration ; Pavement materials ; Pavements ; Project feasibility ; Risk analysis ; Risk management ; Road maintenance ; Statistical analysis ; Sustainability ; Transition probabilities</subject><ispartof>Sustainability, 2022-09, Vol.14 (18), p.11435</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-d6a6d70d660e0bf434a829513722626203d4eababb758e3f5e7d22850505576f3</citedby><cites>FETCH-LOGICAL-c371t-d6a6d70d660e0bf434a829513722626203d4eababb758e3f5e7d22850505576f3</cites><orcidid>0000-0003-4795-8892 ; 0000-0002-1761-6173</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>Han, Daeseok</creatorcontrib><creatorcontrib>Lee, Jin-Hyuk</creatorcontrib><creatorcontrib>Park, Ki-Tae</creatorcontrib><title>Deterioration Models for Bridge Pavement Materials for a Life Cycle Cost Analysis</title><title>Sustainability</title><description>As the Framework Act on Sustainable Infrastructure Management has recently been enacted in Korea, it has become mandatory to establish a medium-and long-term plan for managing social infrastructure and evaluating the feasibility of maintenance projects. However, road agencies are experiencing problems due to a lack of deterioration models which are essential to conducting a life cycle cost analysis. Thus, this study developed deterioration models for bridge pavements as the first step to secure the power of execution of the Infrastructure Management Act. The deterioration model subdivided pavement materials into asphalt, conventional concrete, and latex-modified concrete. This study analyzed the data on diagnosis for the last 12 years in Korea by applying the Bayesian Markov Hazard Model. The average life expectancy by pavement type was analyzed as follows: 12.8 years for asphalt pavement; 23.4 years for concrete pavement; and 9.8 years for latex-modified concrete pavement. For the probabilistic life cycle cost analysis and risk management, probability distributions of life expectancy, effective range by confidence level, and Markov transition probability were presented. This study lays a foundation for deterministic and probabilistic life cycle cost analysis of bridge pavement. Future studies need to develop deterioration models standardized for all components of bridges and all types of social infrastructure.</description><subject>Analysis</subject><subject>Asphalt</subject><subject>Asphalt pavements</subject><subject>Asset management</subject><subject>Bayesian analysis</subject><subject>Bridges</subject><subject>Concrete</subject><subject>Concrete pavements</subject><subject>Confidence intervals</subject><subject>Cost analysis</subject><subject>Deterioration</subject><subject>Distribution (Probability theory)</subject><subject>Economic aspects</subject><subject>Health aspects</subject><subject>Infrastructure</subject><subject>Infrastructure (Economics)</subject><subject>Latex</subject><subject>Laws, regulations and rules</subject><subject>Life cycle assessment</subject><subject>Life expectancy</subject><subject>Life span</subject><subject>Markov analysis</subject><subject>Mathematical models</subject><subject>Mechanical wear</subject><subject>Methods</subject><subject>Pavement deterioration</subject><subject>Pavement materials</subject><subject>Pavements</subject><subject>Project feasibility</subject><subject>Risk analysis</subject><subject>Risk management</subject><subject>Road maintenance</subject><subject>Statistical analysis</subject><subject>Sustainability</subject><subject>Transition probabilities</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkUtrwzAMgMPYYGXraX8gsNMY6ew4tpNj170KLXufjRPLxSWNO9sZ67-fS3toJZCE9ElIKEmuMBoRUqE73-MClxgXhJ4kgxxxnGFE0elBfJ4MvV-iKITgCrNB8v4AAZyxTgZju3RuFbQ-1dal986oBaRv8hdW0IV0Lreg3FdlOjMa0smmaaO1PqTjTrYbb_xlcqYjBcO9v0i-nx6_Ji_Z7PV5OhnPsoZwHDLFJFMcKcYQoFoXpJBlXlFMeJ6zqIioAmQt65rTEoimwFWelzReQSlnmlwk17u5a2d_evBBLG3v4hJe5BwzWrIqx5Ea7aiFbEGYTtvgZBNVwco0tgNtYn7MC1YxVDESG26OGiIT4C8sZO-9mH5-HLO3O7Zx1nsHWqydWUm3ERiJ7U_EwU_IP5zaey4</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Han, Daeseok</creator><creator>Lee, Jin-Hyuk</creator><creator>Park, Ki-Tae</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0003-4795-8892</orcidid><orcidid>https://orcid.org/0000-0002-1761-6173</orcidid></search><sort><creationdate>20220901</creationdate><title>Deterioration Models for Bridge Pavement Materials for a Life Cycle Cost Analysis</title><author>Han, Daeseok ; Lee, Jin-Hyuk ; Park, Ki-Tae</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-d6a6d70d660e0bf434a829513722626203d4eababb758e3f5e7d22850505576f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis</topic><topic>Asphalt</topic><topic>Asphalt pavements</topic><topic>Asset management</topic><topic>Bayesian analysis</topic><topic>Bridges</topic><topic>Concrete</topic><topic>Concrete pavements</topic><topic>Confidence intervals</topic><topic>Cost analysis</topic><topic>Deterioration</topic><topic>Distribution (Probability theory)</topic><topic>Economic aspects</topic><topic>Health aspects</topic><topic>Infrastructure</topic><topic>Infrastructure (Economics)</topic><topic>Latex</topic><topic>Laws, regulations and rules</topic><topic>Life cycle assessment</topic><topic>Life expectancy</topic><topic>Life span</topic><topic>Markov analysis</topic><topic>Mathematical models</topic><topic>Mechanical wear</topic><topic>Methods</topic><topic>Pavement deterioration</topic><topic>Pavement materials</topic><topic>Pavements</topic><topic>Project feasibility</topic><topic>Risk analysis</topic><topic>Risk management</topic><topic>Road maintenance</topic><topic>Statistical analysis</topic><topic>Sustainability</topic><topic>Transition probabilities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Daeseok</creatorcontrib><creatorcontrib>Lee, Jin-Hyuk</creatorcontrib><creatorcontrib>Park, Ki-Tae</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Daeseok</au><au>Lee, Jin-Hyuk</au><au>Park, Ki-Tae</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deterioration Models for Bridge Pavement Materials for a Life Cycle Cost Analysis</atitle><jtitle>Sustainability</jtitle><date>2022-09-01</date><risdate>2022</risdate><volume>14</volume><issue>18</issue><spage>11435</spage><pages>11435-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>As the Framework Act on Sustainable Infrastructure Management has recently been enacted in Korea, it has become mandatory to establish a medium-and long-term plan for managing social infrastructure and evaluating the feasibility of maintenance projects. However, road agencies are experiencing problems due to a lack of deterioration models which are essential to conducting a life cycle cost analysis. Thus, this study developed deterioration models for bridge pavements as the first step to secure the power of execution of the Infrastructure Management Act. The deterioration model subdivided pavement materials into asphalt, conventional concrete, and latex-modified concrete. This study analyzed the data on diagnosis for the last 12 years in Korea by applying the Bayesian Markov Hazard Model. The average life expectancy by pavement type was analyzed as follows: 12.8 years for asphalt pavement; 23.4 years for concrete pavement; and 9.8 years for latex-modified concrete pavement. For the probabilistic life cycle cost analysis and risk management, probability distributions of life expectancy, effective range by confidence level, and Markov transition probability were presented. This study lays a foundation for deterministic and probabilistic life cycle cost analysis of bridge pavement. Future studies need to develop deterioration models standardized for all components of bridges and all types of social infrastructure.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su141811435</doi><orcidid>https://orcid.org/0000-0003-4795-8892</orcidid><orcidid>https://orcid.org/0000-0002-1761-6173</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Asphalt Asphalt pavements Asset management Bayesian analysis Bridges Concrete Concrete pavements Confidence intervals Cost analysis Deterioration Distribution (Probability theory) Economic aspects Health aspects Infrastructure Infrastructure (Economics) Latex Laws, regulations and rules Life cycle assessment Life expectancy Life span Markov analysis Mathematical models Mechanical wear Methods Pavement deterioration Pavement materials Pavements Project feasibility Risk analysis Risk management Road maintenance Statistical analysis Sustainability Transition probabilities |
title | Deterioration Models for Bridge Pavement Materials for a Life Cycle Cost Analysis |
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