Open AccessProbabilistic analysis of tunnel excavation with spatially correlated Young’s modulus
Author(s) -
Anling Lu,
Haoqing Yang,
Dalong Jin
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/569/1/012018
Subject(s) - spatial variability , geotechnical engineering , modulus , standard deviation , displacement (psychology) , excavation , spatial correlation , geology , probabilistic logic , probabilistic analysis of algorithms , structural engineering , mathematics , engineering , statistics , geometry , psychology , psychotherapist
Understanding the responses of tunnel excavation is essential in urbanization. Tunnel constructions are subject to uncertainties originated from complex geological conditions, including the spatial variability of soil properties. Therefore, it is necessary to adopt probabilistic methods that can analyse the spatial variability of geotechnical parameters in tunnel construction. Previously few studies considered plastic strain of tunnels considering the spatial variability of geotechnical properties. In this study, the effects of the statistics (correlation lengths and Coefficients of Variation (CoV)) of spatially correlated Young’s modulus on horizontal/vertical displacements and maximum plastic strain are studied. The mean and median values of the vertical displacement are insensitive to the correlation lengths, while the standard deviation is positively correlated with the correlation lengths. With the increase of CoV, the distribution of maximum plastic strain becomes dispersed, but the change is no longer significant when the CoV is small.