|
|
Characteristic strength of cement-treated marine clay |
LEE Fookhou
|
Department of Civil & Environmental Engineering, National University of Singapore, Singapore 117576, Singapore |
|
|
Abstract Cement-treated marine clay has been widely used in ground improvement. Due to its significant spatial variability and complicated constitutive behaviour, the selection of characteristic strength of cemented soil is challenging. According to Eurocode 7, the characteristic value should represent the overall performance of the geotechnical system. And when a reliability-based design method is adopted, “the characteristic value should be derived such that the calculated probability of a worse value governing the occurrence of the limit state under consideration is not greater than 5%”. In this paper, the random finite element analysis was proposed to directly link the spatial variation in the point strength and the overall performance of geotechnical system, which was more directly related to system performance and allowed the probability of failure to be estimated or prescribed for cement-treated soil.
|
Published: 13 November 2019
|
|
|
|
[1] |
BSI.Eurocode 7. geotechnical design. ground investigation and testing:BS EN 1997-2:2007[S].London, UK:[s.n.] 2007.
|
[2] |
WANG Y, ARROYO M, CAO Z, et al. Selection of characteristic values for rock and soil properties using Bayesian statistics and prior knowledge[J]. Joint TC205/TC304 Working Group on Discussion of Statistical/Reliability Methods for Eurocodes, 2016.
|
[3] |
CAO Z J, WANG Y. Bayesian model comparison and characterization of undrained shear strength[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2014, 140(6).
|
[4] |
ZHAO T Y, MONTOYA-NOGUERA S, PHOON K, et al. Interpolating spatially varying soil property values from sparse data for facilitating characteristic value selection[J]. Canadian Geotechnical Journal, 2018, 55(2): 171-181.
|
[5] |
WANG Y, ZHAO T Y, CAO Z J. Site-specific probability distribution of geotechnical properties[J]. Computers and Geotechnics, 2015, 70: 159-168.
|
[6] |
WANG Y, ZHAO T Y, PHOON K. Statistical inference of random field auto-correlation structure from multiple sets of incomplete and sparse measurements using Bayesian compressive sampling-based bootstrapping[J]. Mechanical Systems and Signal Processing, 2019, 124: 217-236.
|
[7] |
SHI G C, PAN Y T, SUN Z H, et al. Characteristic strength of soils underlying foundations considering the effect of spatial variability[J]. Canadian Geotechnical Journal, 2019.
|
[8] |
XIAO H W, LEE F H, LIU Y. Bounding surface cam-clay model with cohesion for cement-admixed clay[J]. International Journal of Geomechanics, 2017, 17(1).
|
[9] |
LIU Y, CHEN E J, QUEK S T, et al. Effect of spatial variation of strength and modulus on the lateral compression response of cement-admixed clay slab[J]. Géotechnique, 2015, 65(10): 851-865.
|
[10] |
PAN Y T, LIU Y, LEE F H, et al. Analysis of cement-treated soil slab for deep excavation support: a rational approach[J]. Géotechnique, 2019, 69(10): 888-905.
|
[11] |
PAN Y T, YAO K, PHOON K K, et al. Analysis of tunnelling through spatially-variable improved surrounding: a simplified approach[J]. Tunnelling and Underground Space Technology, 2019, 93.
|
[12] |
TYAGI A, LIU Y, PAN Y T, et al. Stability of tunnels in cement-admixed soft soils with spatial variability[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2018, 144(12).
|
|
|
|