Yunmook Lim
Yonsei University · Engineering
About the Lab
Professor Yunmook Lim's research lab specializes in structural health monitoring, smart materials, and advanced composite materials, with a focus on developing innovative sensing and monitoring techniques for civil infrastructure. The lab investigates real-time structural response prediction using neural networks and LiDAR-based 3D scanning, aiming to enhance the safety and durability of bridges and other load-bearing structures. A key research direction involves the mechanical behavior of fiber-reinforced cementitious composites (FRCs) and strain-hardening cementitious composites (SHCC), particularly through controlled fiber distribution using 3D printing and advanced micromechanical modeling. The lab also explores dynamic response and failure mechanisms under impact and high-rate loading using lattice modeling and experimental validation.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Peer Reviewed
A real-time prediction method using a multilayer feedforward neural network is proposed for estimating vertical dynamic displacements of a bridge from the longitudinal strains of the bridge when vehicles pass across it. A numerical model for an existing five-girder bridge spanning 36 m proved by actual experimental values was used to verify the proposed method. To obtain a realistic vehicle distribution for the bridge, vehicle type and actual headways of moving vehicles were taken, and the measu
The distribution of fibers in the composite (which takes into account both their locations and orientations) is one of the important factors that affect the mechanical properties of FRCs. However, this parameter depends on various factors during composite fabrication, and controlling the distribution of fibers in the produced material represents a significant challenge. In this study, the applicability of three-dimensional (3D) printing technique for controlling fiber distributions was evaluated
Structural health monitoring (SHM) and safety assessment are very important areas for evaluating the behavior of structures. Various wired and wireless sensors can measure the physical responses of structures, such as displacement or strain. One recently developed wireless technique is a light imaging detection and ranging (LiDAR) system that can remotely acquire three-dimensional (3D) high-precision coordinate information using 3D laser scanning. LiDAR systems have been previously used in geogr
Research Areas
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