2020
DOI: 10.1016/j.apor.2020.102356
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Stiffness degradation of natural soft foundation in embankment dam under complex stress paths with considering different initial states

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Cited by 8 publications
(5 citation statements)
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“…e torsional shear modulus evolution rules of frozen samples are inconsistent with those derived from previous studies of unfrozen soil [28,44]. e unfrozen soil specimen is softened by the accumulation of pore water pressure under cyclic loading.…”
Section: Torsional Resilient Modulus and Damping Ratiocontrasting
confidence: 55%
See 3 more Smart Citations
“…e torsional shear modulus evolution rules of frozen samples are inconsistent with those derived from previous studies of unfrozen soil [28,44]. e unfrozen soil specimen is softened by the accumulation of pore water pressure under cyclic loading.…”
Section: Torsional Resilient Modulus and Damping Ratiocontrasting
confidence: 55%
“…e unfrozen soil specimen is softened by the accumulation of pore water pressure under cyclic loading. In contrast, the frozen soil sample is hardened under cyclic loading because of the cementation of ice [28,44]. Besides, the temperature has a significant impact on the torsional resilient modulus.…”
Section: Torsional Resilient Modulus and Damping Ratiomentioning
confidence: 99%
See 2 more Smart Citations
“…For example, the stochastic simulation method [19][20][21][22], the stochastic perturbation method [23][24][25], and the orthogonal polynomial expansion method [26,27] were developed based on the stochastic structure problem. The statistical linearization method [28,29], the Fokker-Planck-Kolmogorov (FPK) method [30][31][32], the stochastic averaging method [33][34][35], the path integral method [36][37][38], and the non-Gaussian closure method [39] were developed based on the random vibration problem. However, for engineering structures with a large number of degrees of freedom (DOFs) and nonlinear and random coupling effects, all the aforementioned methods face tremendous challenges.…”
Section: Introductionmentioning
confidence: 99%