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Asset Management System for Educational Facilities Considering the Heterogeneity in Deterioration Process
http://hdl.handle.net/10173/1664
http://hdl.handle.net/10173/166454935f20-4ce3-4480-8de4-96b7a2183433
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
SMS08-120.pdf (239.4 kB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2018-02-06 | |||||
| タイトル | ||||||
| タイトル | Asset Management System for Educational Facilities Considering the Heterogeneity in Deterioration Process | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | educational facilities | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | random proportional weibull hazard model | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | asset management system | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
| 資源タイプ | conference paper | |||||
| 著者 |
Obama, Kengo
× Obama, Kengo× Kaito, Kiyoyuki× Kobayashi, Kiyoshi |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In asset management of infrastructures, predicting deterioration of structures is one of an essential technique to make a decision on the optimal maintenance policy. However, as for large-scaled infrastructures that consist of a huge number of structural components, in order to estimate their deterioration process with high accuracy, the heterogeneity of individual components has to be considered because each component possesses different material characteristics and designs and is in unique service under various environmental conditions. This paper focuses on especially educational facilities from among infrastructures, and constructs its asset management system considering the heterogeneity in deterioration process of individual components. This system mainly consists of 3 functions as: 1. database, 2. deterioration prediction and 3. life-cycle cost evaluation. The database stores the basic structural and component’s information and visual inspection data. Based on these information and data, the deterioration prediction is statistically carried out. Specifically, the deterioration process can be basically expressed by random proportional hazard model, and the heterogeneity can be modeled as probability fluctuation in the hazard rate. Furthermore, the time-dependent hazard rate is formulated by the Weibull hazard model. The heterogeneity of the hazard rates across the individual characteristics of components is explained by the random proportional Weibull hazard model in which the hazard rates are subject to Gamma distribution. In the 3rd function, through the comparisons of the life-cycle costs between the multiple repair/renew strategies, the optimum one is decided. Here, as the deterioration process of individual components can be formulated by the Markov transition probabilities defined by the estimated hazard rates, the proposed life-cycle cost evaluation method organically links to deterioration prediction results via Markov decision process. In addition, an empirical study employing visual inspection data for an actual university facility is carried out to verify the validity and applicability of the system. | |||||
| 書誌情報 |
Society for Social Management Systems Internet Journal 巻 4, 号 1, 発行日 2008-03 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 2432-552X | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| 出版者 | ||||||
| 出版者 | Society for Social Management Systems | |||||
