Predicting the transport of contaminants in porous media is crucial to protecting public health and remediating contaminated soil groundwater. However, prediction contaminant challenging due presence mobile immobile colloids. The work performed this experimental investigation quantified role clay colloids on metal through sets column breakthrough experiments under varying solution chemistry, content, flow rate. Georgia kaolinite was chosen as colloidal material, Pb(II) dissolved contaminant....

This study explores the potential of integrating bender element signals with a convolutional neural network (CNN) to predict particle size distribution relatively uniform sand. A one-dimensional CNN analyzed time-series from elements across four sand types sizes ranging 0.5 approximately 7 mm, under vertical stresses 10, 50, and 150 kPa in three different cutoff frequencies (10, 100 kHz). The architecture included layers augmented batch normalization ReLU activation functions, optimized...

Conventional seismic performance evaluation methods for building structures with soil–structure interaction effects are inefficient regional damage assessment as a predisaster management system. Therefore, this study presented the framework to develop an artificial neural network-based model, which can rapidly predict responses and determine levels. To train, validate test 11 input parameters were selected main parameters, generated using multistep analysis process proposed in study. The...

The detached clay particles directly filtrated through the sand–clay mixture lead to suffusion; however, if are subjected reattachment, degree of suffusion may be less significant. This study investigates impact particle reattachment on mixtures laboratory soil-column experiments. observed breakthrough curves (BTCs) kaolinite, illite, and montmorillonite for 5 different column lengths (3 in, 6 9 12 18in) indicated that a higher concentration was as length (L) decreased kaolinite whereas...

Particulate media filters and infiltrometers play a critical role in separation of solids liquids infrastructure applications that require drainage transmission water or other liquids. Although the primary mechanisms particle removal within filter are well developed (straining, attachment, detachment), impact geochemistry on fine-grained is not developed, especially terms clustering clay particles as function ionic strength. This experimental investigation quantifies strength, median...

Microbially induced calcite precipitation is an emerging environmentally friendly ground improvement technique for a range of geotechnical applications. One the remaining issues field implementation this poor uniformity calcite, with concentrated near injection point, particularly treatments continuous or in fine sand. Therefore, work described paper performed experimental investigation to test hypothesis that using kaolinite particles can increase number nucleation sites throughout sand...

Internal erosion by suffusion within a sand–clay mixture may occur as detachment of clay particles, which is induced decrease in ionic concentration (IC) along with application high hydraulic gradient. Through designed laboratory soil-column experiments, this study investigates the impact IC gradient (stepwise or gradual decrease), mineralogy, sand particle size and on mixture. The observed breakthrough particles revealed substantial caused stepwise for kaolinite illite, while similar...

Understanding the transport and deposition behavior of particles within porous media is importance because clogging can degrade long-term performance hydraulic infrastructure (e.g., artificial recharge system, cutoff walls, infiltration structures) due to reduction conductivity. In addition, significantly affects contaminants that are favorably adsorbed particles. Between various factors affecting behavior, geochemical conditions affect both interaction energy between medium, as well...

Predicting the frost depth of soils in pavement design is critical to sustainability because its mechanical vulnerability frozen-thawed soil. The reliable prediction can be challenging due high uncertainty and unavailability geotechnical properties needed use available empirical- analytical-based equations literature. Therefore, this study proposed a new framework predict soil below using eight machine learning (ML) algorithms (five single ML three ensemble algorithms) without properties....