Effect of the Variation of Compressibility and Permeability Characteristics of Clogged Stone Column on Drainage Performance of Column During Liquefaction
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引用次数: 0
Abstract
Installation of a stone column (SC) is an effective way to promote radial drainage and reduce the risk of liquefaction. However, the clogging effects caused during the service life of SC result in degradation of the performance of SC. Clogging of SC develops when the water flow force fines to release from soil and migrate with it. These fines may become trapped in the pores of gravel and cause the clogging of SC. The fines accumulation within SC over time not only decrease the permeability of SC, but also increases the compressibility of SC due to the reduction of inter‐particle contact between gravels. The present paper demonstrates a mathematical model to determine the pore pressure of SC‐improved soil during liquefaction by considering the change in permeability and compressibility of clogged SC. The model is validated with the available experimental data. Detail parametric studies are conducted to enhance the understanding of various parameters of soil and SC on the effectiveness of SC due to change in permeability and compressibility of the clogged SC. The results obtained from the present model shows that in the case of multiple earthquakes, for the second earthquake, the pore pressure ratio of SC‐improved ground may increase by more than 36% due to consideration of the compressibility effect of clogged SC.
期刊介绍:
The journal welcomes manuscripts that substantially contribute to the understanding of the complex mechanical behaviour of geomaterials (soils, rocks, concrete, ice, snow, and powders), through innovative experimental techniques, and/or through the development of novel numerical or hybrid experimental/numerical modelling concepts in geomechanics. Topics of interest include instabilities and localization, interface and surface phenomena, fracture and failure, multi-physics and other time-dependent phenomena, micromechanics and multi-scale methods, and inverse analysis and stochastic methods. Papers related to energy and environmental issues are particularly welcome. The illustration of the proposed methods and techniques to engineering problems is encouraged. However, manuscripts dealing with applications of existing methods, or proposing incremental improvements to existing methods – in particular marginal extensions of existing analytical solutions or numerical methods – will not be considered for review.