Yonsei University · Engineering
Professor Yun Mook Lim's research lab specializes in structural health monitoring, smart sensing technologies, and advanced materials for civil infrastructure. The lab focuses on developing real-time structural monitoring systems using wireless sensors and LiDAR for remote 3D deformation measurement, as well as innovative numerical modeling for assessing structural performance under dynamic and seismic loads. A key research direction involves the use of 3D printing to control fiber distribution in fiber-reinforced cementitious composites, enhancing material durability and mechanical performance. The lab also investigates the behavior of underground structures, particularly buried pipelines, under liquefaction-induced ground movements.
Figures are computed from collected data and may differ slightly.
Peer 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
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In this study, a numerical model is developed for the analysis of buried pipeline considering longitudinal PGD due to liquefaction induced lateral spreading. Buried pipelines and surrounding soils are modeled as a continuous pipeline using beam elements and a series of elasto-plastic springs uniformly distributed along the pipeline, respectively. Idealized various PGD patterns based on the observation are used as a loading configuration and the length of the lateral spreading zone is considered
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