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Geotextile Constriction Size and Physical and Chemical Clogging Potential
Geotextile constriction size is critical to estimate clogging/blinding potential of base soils planned for drainage or protection from internal erosion. Author updated polyhedra model adapted by Faure (1990) to produce reasonable opening size distribution examinable by bubble point method (ASTM D6767) or apparent opening size (ASTM D4751). Particle size comparison with geotextile constriction enables to analyze potential of either physical or chemical clogging fate. Probabilistic simulation using Markov Chain was conducted to predict the clogging fates of non woven geotextile depending on particle size of filtered soils and geotextile porosity. Probabilistic modeling helps envision the subtle behaviors of fine soil particles associated with physical retention or chemical clogging inside geotexile filters. Proposed probabilistic methods showed satisfying results in characterizing of fabric constriction structure and estimating of the different geotextile filter performances subject to the various soil sizes. Due to limitation of existing experimental techniques to assess reliable and accurate pore/constriction size distribution of geotextile filter, these probabilistic approaches will help coping with the uncertainty of test outputs, inherited in the filter designs. Many probabilistic modeling were conducted based on a best fitting probability function to delineate the features of filter pore/constriction and soil particle size distributions. However, a closer investigation is necessitated to check the feasibility of candidate probabilistic model, if the model has clearly defined the uncertainty of outputs and assumed realistic premise of probabilistic process. A further in-depth study should be followed to investigate whether advanced probabilistic models more relevant to the granular/geotextile filter design are available. The previous researches have already demonstrated that poor output reliability and productivity would be anticipated from the application of probabilistic models especially, if the probabilistic modeling was based on pre-mature assumptions of input parameters (e.g., soil/geotextile GSD and CSD), the authenticity of which could not be demonstrated by available advanced and reliable experimental techniques (image analysis with resin fixation).
Geotextile Constriction Size and Physical and Chemical Clogging Potential
Geotextile constriction size is critical to estimate clogging/blinding potential of base soils planned for drainage or protection from internal erosion. Author updated polyhedra model adapted by Faure (1990) to produce reasonable opening size distribution examinable by bubble point method (ASTM D6767) or apparent opening size (ASTM D4751). Particle size comparison with geotextile constriction enables to analyze potential of either physical or chemical clogging fate. Probabilistic simulation using Markov Chain was conducted to predict the clogging fates of non woven geotextile depending on particle size of filtered soils and geotextile porosity. Probabilistic modeling helps envision the subtle behaviors of fine soil particles associated with physical retention or chemical clogging inside geotexile filters. Proposed probabilistic methods showed satisfying results in characterizing of fabric constriction structure and estimating of the different geotextile filter performances subject to the various soil sizes. Due to limitation of existing experimental techniques to assess reliable and accurate pore/constriction size distribution of geotextile filter, these probabilistic approaches will help coping with the uncertainty of test outputs, inherited in the filter designs. Many probabilistic modeling were conducted based on a best fitting probability function to delineate the features of filter pore/constriction and soil particle size distributions. However, a closer investigation is necessitated to check the feasibility of candidate probabilistic model, if the model has clearly defined the uncertainty of outputs and assumed realistic premise of probabilistic process. A further in-depth study should be followed to investigate whether advanced probabilistic models more relevant to the granular/geotextile filter design are available. The previous researches have already demonstrated that poor output reliability and productivity would be anticipated from the application of probabilistic models especially, if the probabilistic modeling was based on pre-mature assumptions of input parameters (e.g., soil/geotextile GSD and CSD), the authenticity of which could not be demonstrated by available advanced and reliable experimental techniques (image analysis with resin fixation).
Geotextile Constriction Size and Physical and Chemical Clogging Potential
Lee, Sangho (author)
2013
10 Seiten, Bilder, Quellen
Conference paper
Storage medium
English
Constriction Size of Geotextile Filters
| British Library Online Contents | 2005
Constriction Size of Geotextile Filters
| Online Contents | 2005
Blinding and Clogging of a Nonwoven Geotextile
| British Library Online Contents | 2000