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녹색건축자재 통합 DB 구축을 통한 녹색건축인증 내 재료 및 자원 분야 평가 자동화에 관한 연구

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dc.contributor.author왕성조-
dc.contributor.author태성호-
dc.date.accessioned2021-06-22T11:23:05Z-
dc.date.available2021-06-22T11:23:05Z-
dc.date.issued2018-10-
dc.identifier.issn2287-5786-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/5268-
dc.description.abstractThe purpose of this study is to establish a green building materials DB. It is enables automatic assessment of materials and resources in G-SEED by contributing to the decision making support for the architect from the design stage to the optimization decision considering the product unit cost in the selection of building materials. Therefore, selected the products that can be used in the materials and resources field of G-SEED among certified products in all industries in Korea, and constructed the green building materials DB by inputting the unit cost information per product. It is developing an Excel-based automatic assessment tool that can be used for architect actively to select materials is developed. As a result, 12,636 establish DB has been built by 2018.-
dc.format.extent4-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한건축학회-
dc.title녹색건축자재 통합 DB 구축을 통한 녹색건축인증 내 재료 및 자원 분야 평가 자동화에 관한 연구-
dc.title.alternativeA Study on the Automatic assessment of Materials and Resources in Green Building Certification through Integrated Green Building Materials Database-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation대한건축학회 2018년도 추계학술발표대회 논문집, v.38, no.2, pp 452 - 455-
dc.citation.title대한건축학회 2018년도 추계학술발표대회 논문집-
dc.citation.volume38-
dc.citation.number2-
dc.citation.startPage452-
dc.citation.endPage455-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthor녹색건축자재 통합 데이터베이스-
dc.subject.keywordAuthor녹색건축인증-
dc.subject.keywordAuthor재료 및 자원-
dc.subject.keywordAuthor평가 자동화-
dc.subject.keywordAuthorGreen Building Materials DB-
dc.subject.keywordAuthorG-SEED-
dc.subject.keywordAuthorMaterials and Resources-
dc.subject.keywordAuthorAutomatic assessment-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07579624-
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