{"created":"2023-05-15T12:36:06.079765+00:00","id":973,"links":{},"metadata":{"_buckets":{"deposit":"6d16560e-a52e-47bd-9239-69b4eb27b21d"},"_deposit":{"created_by":2,"id":"973","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"973"},"status":"published"},"_oai":{"id":"oai:kutarr.kochi-tech.ac.jp:00000973","sets":["16:21"]},"author_link":["2599","2598","2597"],"item_5_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2009-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"5","bibliographic_titles":[{"bibliographic_title":"Society for Social Management Systems Internet Journal"}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this study, the applicability of bridge deterioration forecasting method, which is developed by the Markovian transition probability model, is discussed for bridges in Fukui prefecture. Furthermore, an optimal maintenance strategy which can determine the optimal scheme of repair considering expected life-cycle cost is proposed for bridges in Fukui prefecture. The strategy is developed by using the Markovian transition probability model and two stage optimization technique. The usefulness and effectiveness of the strategy are demonstrated in the numerical example.","subitem_description_type":"Abstract"}]},"item_5_publisher_36":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Society for Social Management Systems"}]},"item_5_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2432-552X","subitem_source_identifier_type":"ISSN"}]},"item_5_version_type_19":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Taniwaki, Kazuhiro"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ohga, Mitao"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Karunananda, Kamal"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-02-13"}],"displaytype":"detail","filename":"SMS09-148.pdf","filesize":[{"value":"315.5 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"SMS09-148.pdf","url":"https://kutarr.kochi-tech.ac.jp/record/973/files/SMS09-148.pdf"},"version_id":"b900f650-a189-412e-979c-16340931e061"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Markovian transition probability model","subitem_subject_scheme":"Other"},{"subitem_subject":"deterioration forecasting","subitem_subject_scheme":"Other"},{"subitem_subject":"optimum maintenance strategy","subitem_subject_scheme":"Other"},{"subitem_subject":"two stage optimization","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Optimal Bridge Maintenances Strategy Determined by the Markov Process and Two Stage Optimization Technique","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Optimal Bridge Maintenances Strategy Determined by the Markov Process and Two Stage Optimization Technique"}]},"item_type_id":"5","owner":"2","path":["21"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-02-06"},"publish_date":"2018-02-06","publish_status":"0","recid":"973","relation_version_is_last":true,"title":["Optimal Bridge Maintenances Strategy Determined by the Markov Process and Two Stage Optimization Technique"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-16T01:16:38.189065+00:00"}