Kwang-Ho You
- 인공신경망을 이용한 터널 주변 폭파 시 파쇄영역의 빠른 예측에 관한 연구 (A study on the fast prediction of the fragmentation zone using artificial neural network when a blasting occurs around a tunnel). In: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 15, n. 2 ( 2013). (2013):
- 수치해석을 이용한 대심도 복층터널의 확폭단면 형상 및 보강방법에 대한 안정성 연구 (A stability study of deep and double-deck tunnels considering shape and reinforcing method of an enlarged section by using numerical analyses). In: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 19, n. 1 (Januar 2017). (2017):
- 해저 연약 퇴적층 지반 쉴드 TBM 위험요인 평가 및 장비 침하에 관한 연구 (A study on the risk and settlement evaluation of a shield TBM excavated in soft marine sedimentary soils). In: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 18, n. 4 (Juli 2016). (2016):
- A 인공신경망 기법에 근거한 지반물성치의 불확실성을 최소화하기 위한 터널 역해석 사례연구 (case study on a tunnel back analysis to minimize the uncertainty of ground properties based on artificial neural network). In: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 14, n. 1 (31 Januar 2012). (2012):
- A 인공신경망 기법과 굴진면 관찰자료를 활용한 터널 역해석 연구 (tunnel back analysis using artificial neural network technique and face mapping data). In: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 14, n. 4 (31 Juli 2012). (2012):
- A 절리 암반터널 내 그라우팅 전·후의 암반 투수계수 및 그라우팅 주입량과 Q 시스템 항목들과의 상관관계 연구 (study on the correlation between the rock mass permeability before and after grouting & injection volume and the parameters of Q system in a jointed rock mass tunnel). In: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 14, n. 6 (30 November 2012). (2012):
- 터널 주변 폭발로 인해 발생된 버력의 처리시간 예측 (Hauling time prediction of the muck generated by a blasting around a tunnel). In: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 15, n. 1 (30 Januar 2013). (2013):
- Prediction of the change in ground condition ahead of tunnel face using 3-dimensional displacement monitoring. In: Tunnelling and Underground Space Technology, v. 21, n. 3-4 (Mai 2006). (2006):