New Prediction Method of Subsidence Based on the Numerical Displacement Analysis: A Study Case of Deep-Buried Thick Alluvial Layer and Thin Bedrock
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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New Prediction Method of Subsidence Based on the Numerical Displacement Analysis: A Study Case of Deep-Buried Thick Alluvial Layer and Thin Bedrock. / Wang, Jiachen ; Wu, Shanxi; Wang, Zhaohui et al.
in: Rock mechanics and rock engineering, 2025.
in: Rock mechanics and rock engineering, 2025.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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Wang J, Wu S, Wang Z, Babaryka A, Tost M, Li M. New Prediction Method of Subsidence Based on the Numerical Displacement Analysis: A Study Case of Deep-Buried Thick Alluvial Layer and Thin Bedrock. Rock mechanics and rock engineering. 2025. doi: 10.1007/s00603-025-04459-y
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Bibtex - Download
@article{934e670a40d04cc08dea2bc9550156c4,
title = "New Prediction Method of Subsidence Based on the Numerical Displacement Analysis: A Study Case of Deep-Buried Thick Alluvial Layer and Thin Bedrock",
author = "Jiachen Wang and Shanxi Wu and Zhaohui Wang and Aleksandra Babaryka and Michael Tost and Meng Li",
year = "2025",
doi = "10.1007/s00603-025-04459-y",
language = "English",
journal = "Rock mechanics and rock engineering",
issn = "0723-2632",
publisher = "Springer Wien",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - New Prediction Method of Subsidence Based on the Numerical Displacement Analysis: A Study Case of Deep-Buried Thick Alluvial Layer and Thin Bedrock
AU - Wang, Jiachen
AU - Wu, Shanxi
AU - Wang, Zhaohui
AU - Babaryka, Aleksandra
AU - Tost, Michael
AU - Li, Meng
PY - 2025
Y1 - 2025
U2 - 10.1007/s00603-025-04459-y
DO - 10.1007/s00603-025-04459-y
M3 - Article
JO - Rock mechanics and rock engineering
JF - Rock mechanics and rock engineering
SN - 0723-2632
ER -
