Gye-Chun Cho
Korea Advanced Institute of Science and Technology · 工学
研究室紹介
Professor Gye-Chun Cho's research lab focuses on sustainable geotechnical engineering solutions, with a strong emphasis on soil improvement using biopolymers, microbial agents, and eco-friendly binders. The lab investigates the micro-mechanical behavior of particulate materials, particularly the influence of particle shape and interparticle forces on soil density and mechanical response. A key research direction involves developing and validating biopolymer-based soil treatment (BPST) technologies for applications in dust control, erosion prevention, and soil stabilization, with a focus on durability, environmental sustainability, and field applicability. The lab also explores advanced sensing and imaging technologies, including deep learning-based image analysis, for infrastructure monitoring and road damage detection.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15The size and shape of soil particles reflect the formation history of the grains. In turn, the macroscale behavior of the soil mass results from particle level interactions which are affected by particle shape. Sphericity, roundness, and smoothness characterize different scales associated with particle shape. New experimental data and results from published studies are gathered into two databases to explore the effects of particle shape on packing density and on the small-to-large strain mechani
Soil treatment and improvement is commonly performed in the field of geotechnical engineering. Methods and materials to achieve this such as soil stabilization and mixing with cementitious binders have been utilized in engineered soil applications since the beginning of human civilization. Demand for environment-friendly and sustainable alternatives is currently rising. Since cement, the most commonly applied and effective soil treatment material, is responsible for heavy greenhouse gas emission
Various applications of biopolymer-based soil treatment (BPST) in geotechnical engineering have been implemented in recent years, including dust control, soil strengthening and erosion control. Despite BPST methods can ensure the effectiveness of engineering while meeting environmental protection requirements, BPST technology requires further validation in terms of site applicability, durability, and economic feasibility. This study aims to provide a state-of-the-art review and future prospectiv
Microbial biopolymers have recently been introduced as a new material for soil treatment and improvement. Biopolymers provide significant strengthening to soil, even in small quantities (i.e., at 1/10th or less of the required amount of conventional binders, such as cement). In particular, thermo-gelating biopolymers, including agar gum, gellan gum, and xanthan gum, are known to strengthen soils noticeably, even under water-saturated conditions. However, an explicitly detailed examination of the
Road maintenance technology is required to maintain favorable driving conditions and prevent accidents. In particular, a sensor technology is required for detecting road damage. In this study, we developed a new sensor technology that can detect road damage using a deep learning-based image processing algorithm. The proposed technology includes a super-resolution and semi-supervised learning method based on a generative adversarial network. The former improves the quality of the road image to ma