多相異質コンクリートの許容度測定 証拠回帰深層ネットワークと高周波電磁波
Zhaojun Hou1,2, Hui Liu3, Jianchuan Cheng1
1School of Transportation, Southeast University, Nanjing 210018, China.
Materials (Basel, Switzerland)
|August 28, 2025
まとめ
この研究では,高周波電磁波 (HF-EMW) を使用してコンクリートの許容性を正確に測定するための証拠回帰深層ネットワークを導入します. この方法は不確実性を定量化し,非破壊的な試験の精度を向上させます.
科学分野:
- 材料科学
- 電磁学について
- 人工知能
背景:
- 高周波電磁波 (HF-EMW) を使用したコンクリートの許容性測定は,非破壊的な試験に不可欠です.
- 物質の異質性や波の伝播に関する知識が限られているため,既存の方法は不確実性や知覚的不確実性がある課題に直面しています.
- これらの不確実性は,現在の非破壊的試験技術の精度を制限しています.
研究 の 目的:
- コンクリートの正確な許容度測定のための証拠回帰の深層ネットワークを提案する.
- 測定プロセスに不確実性の定量化を組み込む.
- コンクリート材料の非破壊的な試験の精度を高める.
主な方法:
- 有限差時間領域 (FDTD) モデルは,異質コンクリートにおけるHF-EMW伝播をシミュレートし,ランダムな不確実性を捉えます.
- U-netベースのモデルは,HF-EMW信号を否定し,測定ノイズによる不確実性を定量化します.
- デンプスター-シェーファー理論 (DST) に基づく証拠回帰ネットワークは,ガウスのランダム・フージー数 (GRFNs) を使用して不確実性を定量化して,許容性を計算します.
主要な成果:
- 提案された方法は,4つのコンクリートタイプで平均平方誤差7.50%を達成しました.
- 74.70%の許容性不確実性値が定量化されました.
- この方法は,GRFNベースの信念測定区間を使用して測定不確実性を成功裏に定量化しました.
結論:
- 証拠回帰の深層ネットワークは,量化された不確実性でコンクリートの許容性を効果的に測定します.
- このアプローチは,コンクリートの非破壊的な試験の精度を大幅に改善します.
- GRFNベースの不確実性の定量化は,信頼性の高い信念測定間隔を提供します.
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