Total Repair Cost Simulation Considering Multiple Probabilistic Measures and Service Life
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoon, Yong-Sik | - |
dc.contributor.author | Ahn, Yong-Han | - |
dc.contributor.author | Wang, Xiao-Yong | - |
dc.contributor.author | Kwon, Seung-Jun | - |
dc.date.accessioned | 2021-06-22T04:25:59Z | - |
dc.date.available | 2021-06-22T04:25:59Z | - |
dc.date.issued | 2021-02 | - |
dc.identifier.issn | 2071-1050 | - |
dc.identifier.issn | 2071-1050 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/468 | - |
dc.description.abstract | In this study, the total maintenance cost for public houses in South Korea was analyzed, and the effect of each repair process on the total maintenance cost was evaluated with probabilistic and deterministic methods. In the probabilistic method, quality of repair materials and construction skills were considered in the variability of extended service life through repair, while the deterministic method considered it by simple summation of repair step. The repair cost was analyzed considering the coefficient of variation (COV) of extended service life, so the reasonable total maintenance cost was able to be evaluated. Since the results through the probabilistic method provided a continuous cost line, a reasonable repair strategy was carried out by simply changing the intended service life of the structure. The repair cost was additionally analyzed with constant COV (0.15) of each repair process for considering various situations. The analysis results with a COV of 0.15 exhibited a slightly higher maintenance cost than those with current COV. The total maintenance costs can be adjusted if the initial repair timing is extended to the largest possible extent for the highest-repair-cost process since the total repair cost is dominated by the process with the highest repair cost. | - |
dc.format.extent | 15 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI | - |
dc.title | Total Repair Cost Simulation Considering Multiple Probabilistic Measures and Service Life | - |
dc.type | Article | - |
dc.publisher.location | 스위스 | - |
dc.identifier.doi | 10.3390/su13042350 | - |
dc.identifier.scopusid | 2-s2.0-85102602888 | - |
dc.identifier.wosid | 000624785100001 | - |
dc.identifier.bibliographicCitation | SUSTAINABILITY, v.13, no.4, pp 1 - 15 | - |
dc.citation.title | SUSTAINABILITY | - |
dc.citation.volume | 13 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 15 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalWebOfScienceCategory | Green & Sustainable Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Environmental Studies | - |
dc.subject.keywordPlus | cost analysis | - |
dc.subject.keywordPlus | detection method | - |
dc.subject.keywordPlus | probability | - |
dc.subject.keywordPlus | simulation | - |
dc.subject.keywordPlus | strategic approach | - |
dc.subject.keywordAuthor | repair cost | - |
dc.subject.keywordAuthor | service life | - |
dc.subject.keywordAuthor | probabilistic method | - |
dc.subject.keywordAuthor | deterministic method | - |
dc.subject.keywordAuthor | COV | - |
dc.identifier.url | https://www.mdpi.com/2071-1050/13/4/2350 | - |
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