A physics-data-driven method for predicting surface and building settlement induced by tunnel construction

Surface and surrounding building settlement is frequently caused by soil disturbance during subway tunnel construction, significantly impacting construction safety and structural stability. Traditional machine learning models have shown some effectiveness in settlement prediction but often fail to c...

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Veröffentlicht in:	Computers and geotechnics Jg. 179; S. 107020
Hauptverfasser:	Wang, You, Fan, Qianjun, Dai, Fang, Wang, Rui, Ding, Bosong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2025
Schlagworte:	Metaheuristic optimization algorithms Pasternak foundation model Physics informed optimized extreme learning machine (PIOELM) Physics-data-driven Shield tunnelling Metaheuristic optimization algorithms Pasternak foundation model Shield tunnelling Physics informed optimized extreme learning machine (PIOELM) Physics-data-driven
ISSN:	0266-352X
Online-Zugang:	Volltext
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