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博士論文

Efficient Aerodynamic Topology Optimization on Supersonic Flow Field via Machine Learning Technologies

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Efficient Aerodynamic Topology Optimization on Supersonic Flow Field via Machine Learning Technologies

Persistent ID (NDL)
info:ndljp/pid/11511969
Material type
博士論文
Author
伴, 直彦
Publisher
長岡技術科学大学
Publication date
2019-03-26
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
国立大学法人長岡技術科学大学,博士（工学）
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Digital

Material Type
博士論文
Title
Efficient Aerodynamic Topology Optimization on Supersonic Flow Field via Machine Learning Technologies
Author/Editor
伴, 直彦
Publication, Distribution, etc.
長岡技術科学大学
Publication Date
2019-03-26
Publication Date (W3CDTF)
2019-03-26
Alternative Title
機械学習技術を援用した超音速流体中における効率的な空力トポロジー最適設計
Contributor
准教授（主査）　山﨑渉、教授　高橋勉、教授　山田昇、准教授　倉橋貴彦、准教授　野中尋史
Degree grantor/type
国立大学法人長岡技術科学大学
Date Granted
2019-03-26