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Updated: Feb 17, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
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バイオット-ガスマン流体置換法と機械学習ベースの速度-ストレス関係を統合して,インシチューストレスを推定する

Ayyaz Mustafa1, Guanyi Lu1, Andrew P Bunger1,2

  • 1Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh 15261, Pennsylvania, United States.

ACS omega
|February 16, 2026
PubMed
まとめ

この研究は,乾燥岩のデータから得られた低周波音速を用いて,in situストレスを予測するためのマシン/ディープラーニング (ML/DL) モデルを強化しています. 改善されたワークフローは,地表下のストレスを正確に推定し,地熱エネルギー探査を進めています.

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