{"created":"2021-03-01T06:34:31.700066+00:00","id":26597,"links":{},"metadata":{"_buckets":{"deposit":"58d71007-1ca9-4f60-a354-aaf3ededf2de"},"_deposit":{"id":"26597","owners":[],"pid":{"revision_id":0,"type":"depid","value":"26597"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:00026597","sets":["312:313:314"]},"author_link":["87955","87956"],"item_10_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicPageEnd":"953","bibliographicPageStart":"935","bibliographicVolumeNumber":"58","bibliographic_titles":[{"bibliographic_title":"Structural and Multidisciplinary Optimization","bibliographic_titleLang":"en"}]}]},"item_10_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This study demonstrates the use of Newton method to solve topology optimization problems of density type for linear elastic bodies to minimize the maximum von Mises stress. We use the Kreisselmeier–Steinhauser (KS) function with respect to von Mises stress as a cost function to avoid the non-differentiability of the maximum von Mises stress. For the design variable, we use a function defined in the domain of a linear elastic body with no restriction on the range and assume that a density is given by a sigmoid function of the function of design variable. The main aim of this study involves evaluating the second derivative of the KS function with respect to variation of the design variable and to propose an iterative scheme based on an H^1 Newton method as opposed to the H^1 gradient method that was presented in previous studies. The effectiveness of the scheme is demonstrated by numerical results for several linear elastic problems. The numerical results show that the speed of the proposed H^1 Newton method exceeds that of the H^1 gradient method.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"ファイル公開：2019/09/01","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_10_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Springer","subitem_publisher_language":"en"}]},"item_10_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/s00158-018-1937-z","subitem_relation_type_select":"DOI"}}]},"item_10_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"“This is a post-peer-review, pre-copyedit version of an article published in [Structural and Multidisciplinary Optimization]. The final authenticated version is available online at: http://dx.doi.org/10.1007/s00158-018-1937-z”.","subitem_rights_language":"en"}]},"item_10_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"author"}]},"item_10_source_id_61":{"attribute_name":"ISSN（print）","attribute_value_mlt":[{"subitem_source_identifier":"1615-147X","subitem_source_identifier_type":"PISSN"}]},"item_10_source_id_62":{"attribute_name":"ISSN（Online）","attribute_value_mlt":[{"subitem_source_identifier":"1615-1488","subitem_source_identifier_type":"EISSN"}]},"item_1615787544753":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Chancharoen, Wares","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"87955","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Azegami, Hideyuki","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"87956","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-09-01"}],"displaytype":"detail","filename":"main.pdf","filesize":[{"value":"2.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"main","objectType":"fulltext","url":"https://nagoya.repo.nii.ac.jp/record/26597/files/main.pdf"},"version_id":"c1ffbedf-a881-44a1-b91b-777e93f76a42"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Topology optimization","subitem_subject_scheme":"Other"},{"subitem_subject":"Stress concentration","subitem_subject_scheme":"Other"},{"subitem_subject":"Kreisselmeier–Steinhauser function","subitem_subject_scheme":"Other"},{"subitem_subject":"H^1 gradient method","subitem_subject_scheme":"Other"},{"subitem_subject":"H^1 Newton method","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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Topology optimization of density type for a linear elastic body by using the second derivative of a KS function with respect to von Mises stress","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Topology optimization of density type for a linear elastic body by using the second derivative of a KS function with respect to von Mises stress","subitem_title_language":"en"}]},"item_type_id":"10","owner":"1","path":["314"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2018-11-13"},"publish_date":"2018-11-13","publish_status":"0","recid":"26597","relation_version_is_last":true,"title":["Topology optimization of density type for a linear elastic body by using the second derivative of a KS function with respect to von Mises stress"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-01-16T04:16:44.086411+00:00"}