Ju-Young Oh
- Surface settlement prediction for urban tunneling using machine learning algorithms with Bayesian optimization. Dans: Automation in Construction, v. 140 (août 2022). (2022):
- Classification of surface settlement levels induced by TBM driving in urban areas using random forest with data-driven feature selection. Dans: Automation in Construction, v. 135 (mars 2022). (2022):
- '쉴드TBM터널에서 뒤채움 주입이 지반의 단기·장기 침하에 미치는 영향에 대한 수치해석적 연구 (Study on the effect of tail void grouting on the short- and long-term surface settlement in the shield TBM Tunneling using numerical analysis). Dans: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 19, n. 2 (mars 2017). (2017):
- 화강풍화대를 통과하는 슬러리 TBM의 체적손실 산정에 대한 사례 연구 (Case study of volume loss estimation during slurry tbm tunnelling in weathered zone of granite rock). Dans: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 18, n. 1 (30 janvier 2016). (2016):
- Investigation on influence of tail void grouting on the surface settlements during shield tunneling using a stress-pore pressure coupled analysis. Dans: KSCE Journal of Civil Engineering, v. 18, n. 3 (mars 2014). (2014):
- (2018): Monitoring and Analysis of Ground Settlement Induced by Tunnelling with Slurry Pressure-Balanced Tunnel Boring Machine. Dans: Advances in Civil Engineering, v. 2018 ( 2018).