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Study on damage statistical constitutive model and stochastic simulation for warm ice-rich frozen silt
Abstract The soil parameters and mechanical properties of warm frozen soils often exhibit strongly stochastic properties. In order to study the stochastic characteristics, fifty triaxial compressive tests of warm ice-rich frozen silt have been conducted at the temperature of −1.5°C under three different confining pressures, respectively. The strength distribution of warm ice-rich frozen silt is given. A damage statistical constitutive relationship and a stochastic model are proposed based on the probability distributions of parameters and random process theory. Then the stochastic simulation is conducted using Monte-Carlo technique. The calculated results of these two models are well coincident with experimental results.
Highlights ► The strength distribution and confidence intervals for warm ice-rich frozen silt are given. ► A damage statistical constitutive model is presented. ► A stochastic model is established to describe the random characteristics of the frozen silt. ► The stochastic simulation is conducted by the way of Monte-Carlo technique. ► The stochastic simulation can describe the random characteristics of test curves quite well.
Study on damage statistical constitutive model and stochastic simulation for warm ice-rich frozen silt
Abstract The soil parameters and mechanical properties of warm frozen soils often exhibit strongly stochastic properties. In order to study the stochastic characteristics, fifty triaxial compressive tests of warm ice-rich frozen silt have been conducted at the temperature of −1.5°C under three different confining pressures, respectively. The strength distribution of warm ice-rich frozen silt is given. A damage statistical constitutive relationship and a stochastic model are proposed based on the probability distributions of parameters and random process theory. Then the stochastic simulation is conducted using Monte-Carlo technique. The calculated results of these two models are well coincident with experimental results.
Highlights ► The strength distribution and confidence intervals for warm ice-rich frozen silt are given. ► A damage statistical constitutive model is presented. ► A stochastic model is established to describe the random characteristics of the frozen silt. ► The stochastic simulation is conducted by the way of Monte-Carlo technique. ► The stochastic simulation can describe the random characteristics of test curves quite well.
Study on damage statistical constitutive model and stochastic simulation for warm ice-rich frozen silt
Lai, Yuanming (author) / Li, Jingbo (author) / Li, Qingze (author)
Cold Regions, Science and Technology ; 71 ; 102-110
2011-11-01
9 pages
Article (Journal)
Electronic Resource
English
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