Unified Packing Model for Improved Prediction of Porosity and Hydraulic Conductivity of Binary Mixed Soils
نویسندگان
چکیده
Binary mixed soils, containing coarse sand particles with variable content of fines (fine sand, silt, or clay) are important for several environmental and engineering applications. The packing state (or porosity) such sand-fines mixtures controls physical properties as hydraulic conductivity. Therefore, developing an analytical model to predict porosity binary based on pure unmixed (endmembers), can contribute predicting conductivity the without need extensive laboratory measurements. Toward this goal, study presents a unified purpose soils function fraction. current modifies existing developed achieve three main improvements: (1) being inclusive wide range covering whole particle sizes, (2) incorporating impact cohesive behavior mixture porosity, (3) accounting clay swelling. presented is first its kind combined all factors: size ratio, swelling, porosity. predictions modified validated using experimental published data from 24 different studies. shows significant improvement in compared models that frequently underestimate By predicted input Kozeny–Carman formulation, absolute mean error conductivity, fraction 16 reduced by 50% when use previous model. provides insights about endmembers (porosity, grain size) required certain target desirable soils. This assist optimization soil mixing design various
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ژورنال
عنوان ژورنال: Water
سال: 2021
ISSN: ['2073-4441']
DOI: https://doi.org/10.3390/w13040455