Jongmuk Won
Korea University · 工学
研究室紹介
Professor Jongmuk Won's research lab specializes in environmental and geotechnical engineering, focusing on the transport, deposition, and geochemical interactions of fine particles in porous media. Key research directions include contaminant transport in groundwater systems, clogging mechanisms in hydraulic infrastructure, and microbially induced calcite precipitation for sustainable ground improvement. The lab combines experimental investigations with advanced modeling techniques such as artificial neural networks to predict complex soil–structure and soil–fluid interactions under varying geochemical and hydrological conditions.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Predicting the transport of contaminants in porous media is crucial to protecting public health and remediating contaminated soil and groundwater. However, the prediction of contaminant transport is challenging due to the presence of mobile and immobile colloids. The work performed in this experimental investigation quantified the role of immobile clay colloids on metal transport through sets of column breakthrough experiments under varying solution chemistry, clay content, and flow rate. Georgi
Conventional seismic performance evaluation methods for building structures with soil–structure interaction effects are inefficient for regional seismic 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 seismic responses with soil–structure interaction effects and determine the seismic performance levels. To train, validate and test the model, 11 input parameters were
Microbially induced calcite precipitation is an emerging environmentally friendly ground improvement technique for a range of geotechnical applications. One of the remaining issues for field implementation of this technique is poor uniformity of calcite, with concentrated precipitation near the injection point, particularly for treatments with continuous injection or in fine sand. Therefore, the work described in this paper performed an experimental investigation to test the hypothesis that usin
Particulate media filters and infiltrometers play a critical role in separation of solids and liquids in infrastructure applications that require drainage and transmission of water or other liquids. Although the primary mechanisms of particle removal within a filter are well developed (straining, attachment, and detachment), the impact of geochemistry on fine-grained particle removal is not well developed, especially in terms of the impact of clustering of clay particles as a function of ionic s
Understanding the transport and deposition behavior of particles within porous media is of importance because clogging can degrade the long-term performance of hydraulic infrastructure (e.g., artificial recharge system, cutoff walls, and infiltration structures) due to the reduction of hydraulic conductivity. In addition, the deposition behavior significantly affects the transport of contaminants that are favorably adsorbed to particles. Between the various factors affecting deposition behavior,
The detached clay particles directly filtrated through the sand–clay mixture lead to suffusion; however, if the detached clay particles are subjected to reattachment, the degree of suffusion may be less significant. This study investigates the impact of clay particle reattachment on suffusion of sand–clay mixtures through laboratory soil-column experiments. The observed breakthrough curves (BTCs) of kaolinite, illite, and montmorillonite for 5 different column lengths (3 in, 6 in, 9 in, 12 in, a
The presence of retained colloidal particles causes the retardation of contaminant transport when the contaminant is favorably adsorbed to colloidal particles. Although the particle size distribution affects the retention behavior of colloidal particles, the impact of particle size distribution on contaminant transport has not been reported to date. This study investigates the impact of the particle size distribution of the colloidal particles on contaminant transport through numerical simulatio