Research Division

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  • A Study on Factors Influencing Ground Subsidence and a Risk Analysis Method Using the Attributes of Sewer Pipes
    • Journal : 2076-3417 APPLIED SCIENCES-BASEL
    • Date : 2023.08.24
  • Data-driven Model for Predicting Surface Settlement in response to Tunnel Boring Machine Excavation
    • Journal : 국제학술발표(무심사)
    • Date : 2023.08.17
  • Feasibility of Carnauba Wax Rejuvenators for Asphalt Concrete with Vacuum Tower Bottom Binder
    • Journal : 2079-6412 Coatings
    • Date : 2023.08.17
  • Prioritization of Hazardous Zones Using an Advanced Risk Management Model Combining the Analytic Hierarchy Process and Fuzzy Set Theory
    • Journal : 2071-1050 Sustainability
    • Date : 2023.08.04
  • Hydraulic properties of bentonite buffer material beyond 100 °C
    • Journal : 2405-8440 HELIYON
    • Date : 2023.07.22
  • Machine Learning-Based Predictive Model of Ground Subsidence Risk Using Characteristics of Underground Pipelines in Urban Areas
    • Journal : 2169-3536 IEEE ACCESS
    • Date : 2023.07.13
  • Remote robotic system for 3D measurement of concrete damage in tunnel with ground vehicle and manipulator
    • Journal : 1093-9687 COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
    • Date : 2023.06.22
  • Prediction Modeling of Ground Subsidence Risk Based on Machine Learning Using the Attribute Information of Underground Utilities in Urban Areas in Korea
    • Journal : 2076-3417 APPLIED SCIENCES-BASEL
    • Date : 2023.06.20
  • Bio-geomorphic alteration through shifting flow regime in a modified monsoonal river system in Korea
    • Journal : 1535-1459 RIVER RESEARCH AND APPLICATIONS
    • Date : 2023.06.05
  • Numerical Simulation of Piles in a Liquefied Slope Using a Modified Soil-Pile Interface Model
    • Journal : 2076-3417 APPLIED SCIENCES-BASEL
    • Date : 2023.05.30
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