Yun Mook Lim
연세대학교 건설환경공학부 · 공학
윤문림 교수의 연구실은 Civil and Environmental Engineering 분야에서 구조물의 거동 분석 및 안전성 평가를 중심으로 연구를 진행하고 있습니다. 주요 연구 방향은 구조 health monitoring(정밀 거리 측정 기반 LiDAR 기술 적용), 복합재료 내 섬유 분포 제어(3D 프린팅 기반 FRC 개발), 그리고 지반의 지반응력에 의한 매설관로의 거동 해석(지반응력 기반 파이프라인 모델링)입니다. 실시간 구조 거동 예측 및 실험적 검증을 기반으로 한 정밀한 수치 모델링 기법 개발에 초점을 맞추고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
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
