@article{4c7d71cba21c4a438b89d2ae08f11cc1,
title = "Back analysis of displacements for estimating spatial distribution of viscoelastic properties around an unlined rock cavern",
abstract = "A displacement back analysis algorithm is developed, considering the time-dependent effect of the rock mass. It can map spatially distributed the first elastic modulus (E1), viscidity coefficient (η1), and the second elastic modulus (E2) of the Kelvin-Voigt viscoelastic constitutive model (VCM) and the Poynting-Thomson VCM in a rock mass by fusion of the observed displacement data from the excavation of an unlined rock cavern. The algorithm is tested and validated using numerical experiments with a synthetic heterogeneous rock mass. The results of the experiments show that this approach yields unbiased estimates of E1, η1, and E2 fields and quantifies their uncertainty. Further, the estimated fields closely predict shear strain distribution and displacements field in the example.",
keywords = "Displacement back analysis, Heterogeneity, Successive linear estimator, Unlined rock cavern, Viscoelastic parameters",
author = "Xu Gao and Yan, {E. Chuan} and Yeh, {Tian Chyi Jim} and Yin, {Xiao Meng} and Cai, {Jing Sen} and Hao, {Yong Hong} and Wen, {Jet Chau}",
note = "Funding Information: The first author acknowledge the support by the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (Grant No. G1323520270) and Engineering Research Center of Rock-Soil Drilling & Excavation and Protection, Ministry of Education. The second author acknowledge the support by the National Natural Science Foundation of China (Grant No. 41672313). The fourth author acknowledge the support by the National Natural Science Foundation of China (Grant No. 41807240). The fifth author acknowledge the support by the National Natural Science Foundation of China (Grant No. 41807264), and the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (Grant No. CUG170686). The corresponding author acknowledges the partially supported by the U.S. NSF grant EAR1931756. Funding Information: The first author acknowledge the support by the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (Grant No. G1323520270 ) and Engineering Research Center of Rock-Soil Drilling & Excavation and Protection, Ministry of Education. The second author acknowledge the support by the National Natural Science Foundation of China (Grant No. 41672313 ). The fourth author acknowledge the support by the National Natural Science Foundation of China (Grant No. 41807240 ). The fifth author acknowledge the support by the National Natural Science Foundation of China (Grant No. 41807264 ), and the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (Grant No. CUG170686 ). The corresponding author acknowledges the partially supported by the U.S. NSF grant EAR1931756 . Publisher Copyright: {\textcopyright} 2020 Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2020",
month = oct,
doi = "10.1016/j.compgeo.2020.103724",
language = "English (US)",
volume = "126",
journal = "Computers and Geotechnics",
issn = "0266-352X",
publisher = "Elsevier BV",
}