{"created":"2023-06-20T14:36:35.832303+00:00","id":2933,"links":{},"metadata":{"_buckets":{"deposit":"9b8aa25a-37fa-493a-ac1e-33e08d7f78f4"},"_deposit":{"created_by":1,"id":"2933","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"2933"},"status":"published"},"_oai":{"id":"oai:jaxa.repo.nii.ac.jp:00002933","sets":["1398:1530:1531","1543:1874:1875","1887:1891","9:789:794:1976"]},"author_link":["9946","9949","9948","9947","9950","9945"],"item_5_alternative_title_2":{"attribute_name":"その他のタイトル（英）","attribute_value_mlt":[{"subitem_alternative_title":"Feature extraction technique for large time-series data and its application to wake flow analysis of a re-entry capsule"}]},"item_5_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-25","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"90","bibliographicPageStart":"83","bibliographicVolumeNumber":"JAXA-SP-18-005","bibliographic_titles":[{"bibliographic_title":"宇宙航空研究開発機構特別資料: 第50回流体力学講演会/第36回航空宇宙数値シミュレーション技術シンポジウム論文集"},{"bibliographic_title":"JAXA Special Publication: Proceedings of the 50th Fluid Dynamics Conference / the 36th Aerospace Numerical Simulation Symposium","bibliographic_titleLang":"en"}]}]},"item_5_description_14":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"第50回流体力学講演会/第36回航空宇宙数値シミュレーション技術シンポジウム (2018年7月4日-6日. 宮崎市民プラザ), 宮崎市, 宮崎","subitem_description_type":"Other"}]},"item_5_description_15":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）（英）","attribute_value_mlt":[{"subitem_description":"50th Fluid Dynamics Conference /the 36th Aerospace Numerical Simulation Symposium (July 4-6, 2018. Miyazaki Citizen's Plaza), Miyazaki, Japan","subitem_description_type":"Other"}]},"item_5_description_17":{"attribute_name":"抄録（英）","attribute_value_mlt":[{"subitem_description":"The feature extraction technique based on dynamic mode decomposition (DMD) and mode selection methods for large CFD datasets was proposed. The incremental proper orthogonal decomposition (POD) was introduced as a preconditioning step. By performing the preconditioning step, the DMD and mode selection can be applied to large datasets with low memory consumption. The proposed algorithms were applied to a subsonic flowfield around a re-entry capsule. We found that the flowfield has four dominant fluid phenomena and they have the frequency of St approx. 0.2 and St = 0.0159. Furthermore, the contribution of these fluid phenomena on the aerodynamic coefficient fluctuations of the capsule was clarified. The result showed that the lift and drag coefficient fluctuations are dominated by vortex shedding phenomena (of St approx. 0.2) and pressure oscillation phenomena in the recirculation region (of St = 0.0159), respectively. This pressure oscillation phenomenon of St = 0.0159 has not been reported so far and seems to be related to dynamic instability phenomena of the capsule because its time scale is close to that of the capsule's motion reported previously.","subitem_description_type":"Other"}]},"item_5_description_18":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"形態: カラー図版あり","subitem_description_type":"Other"}]},"item_5_description_19":{"attribute_name":"内容記述（英）","attribute_value_mlt":[{"subitem_description":"Physical characteristics: Original contains color illustrations","subitem_description_type":"Other"}]},"item_5_description_32":{"attribute_name":"資料番号","attribute_value_mlt":[{"subitem_description":"資料番号: AA1830029004","subitem_description_type":"Other"}]},"item_5_description_33":{"attribute_name":"レポート番号","attribute_value_mlt":[{"subitem_description":"レポート番号: JAXA-SP-18-005","subitem_description_type":"Other"}]},"item_5_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"宇宙航空研究開発機構(JAXA)"}]},"item_5_publisher_9":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"Japan Aerospace Exploration Agency (JAXA)"}]},"item_5_source_id_22":{"attribute_name":"ISSNONLINE","attribute_value_mlt":[{"subitem_source_identifier":"2433-2232","subitem_source_identifier_type":"ISSN"}]},"item_5_text_6":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"宇宙航空研究開発機構(JAXA)"},{"subitem_text_value":"首都大学東京"},{"subitem_text_value":"首都大学東京"}]},"item_5_text_7":{"attribute_name":"著者所属（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Japan Aerospace Exploration Agency (JAXA)"},{"subitem_text_language":"en","subitem_text_value":"Tokyo Metropolitan University"},{"subitem_text_language":"en","subitem_text_value":"Tokyo Metropolitan University"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大道, 勇哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小林, 憲司"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"金崎, 雅博"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Omichi, Yuya","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kobayashi, Kenji","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kanazaki, Masahiro","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-01-15"}],"displaytype":"detail","filename":"AA1830029004.pdf","filesize":[{"value":"2.4 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"AA1830029004.pdf","url":"https://jaxa.repo.nii.ac.jp/record/2933/files/AA1830029004.pdf"},"version_id":"76459226-7868-4451-ab6d-52c8ec5b8814"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"大規模非定常データに対する特徴構造抽出法の開発と大気突入カプセル後流解析への適用","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大規模非定常データに対する特徴構造抽出法の開発と大気突入カプセル後流解析への適用"}]},"item_type_id":"5","owner":"1","path":["1531","1875","1891","1976"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"publish_date":"2019-02-28","publish_status":"0","recid":"2933","relation_version_is_last":true,"title":["大規模非定常データに対する特徴構造抽出法の開発と大気突入カプセル後流解析への適用"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-21T09:13:38.455506+00:00"}