지반 굴착 계측데이터를 이용한 가시설 벽체의 실시간 안정성 평가기술 개발

초록

The development of excavation technology in the ground, large-scale excavation work is being carried out in large urban areas and soft ground. With the enactment of the Special Act on Underground Safety Management, numerical analysis is essential for the underground space during design. However, due to the uncertainty of the ground variable and the change of the groundwater level, the ground conditions during construction change differently from the design conditions, and the stability of the wall may also change accordingly. In this study, we propose a deep-learning technique that can evaluate the stability of walls during excavation in real time by building a database of temporary walls considering various ground conditions and groundwater levels.