2023 Fiscal Year Research-status Report
Computational Intelligence based crack modeling and inspection under extreme temperatures variations
Project/Area Number |
23KF0240
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Research Institution | Kyoto University |
Principal Investigator |
郭 佳 京都大学, 農学研究科, 准教授 (50868081)
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Co-Investigator(Kenkyū-buntansha) |
DING ZHENGHAO 京都大学, 農学研究科, 外国人特別研究員
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Project Period (FY) |
2023-11-15 – 2026-03-31
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Keywords | extreme temperature / evolutionary algorithm / agent model |
Outline of Annual Research Achievements |
An evolutionary algorithm based on agent models and applied it to the modification of some finite element models of large structures have been successfully developed, which was reported by the Fellow. The algorithm obtained has relatively high computational efficiency and accuracy.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
これまでの研究を継続して実施している。
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Strategy for Future Research Activity |
翌年度、受入研究者の変更を予定するが、研究計画とおりに進める方針である。
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Causes of Carryover |
若干の残額があるが、ほとんど計画とおり使用している。
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[Journal Article] Substructural damage identification in a digital twin framework using heterogeneous response reconstruction2024
Author(s)
Zhang, G.C., Zhou, Z.W., Wan, C.F., Ding, Z.H., Wu, Z.S., Xie, L.Y., Xue, S.T., and Wu, Z.S.
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Journal Title
Advances in Structural Engineering
Volume: -
Pages: -
DOI
Peer Reviewed
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[Journal Article] A novel Bayesian empowered piecewise multi-objective sparse evolution for structural condition assessment’2024
Author(s)
Ding, Z.H., Kuok, S.C., Yu, Y., Lei, Y.Z., Zhang, G.C., and Yuen, K.V.
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Journal Title
International Journal of Structural Stability and Dynamics
Volume: -
Pages: -
Peer Reviewed