[논문]TBM 터널 전방 복합지반 예측을 위한 전기 비저항 탐사의 수치해석적 연구

양승훈; 최항석; 권기범; 황채민; 강민규

doi:10.9711/ktaj.2023.25.6.403

TBM 터널 전방 복합지반 예측을 위한 전기 비저항 탐사의 수치해석적 연구
Numerical simulations on electrical resistivity survey to predict mixed ground ahead of a TBM tunnel 원문보기

Journal of Korean Tunnelling and Underground Space Association = 한국터널지하공간학회논문집, v.25 no.6, 2023년, pp.403 - 421

양승훈 (고려대학교 건축사회환경공학부) , 최항석 (고려대학교 건축사회환경공학부) , 권기범 (고려대학교 건축사회환경공학부) , 황채민 (고려대학교 건축사회환경공학부) , 강민규 (고려대학교 건축사회환경공학부)

초록
AI-Helper

도심지 내 지하구조물 개발의 필요성이 증가함에 따라, TBM 터널 시공 중 터널 굴진면 전방예측에 대한 연구가 꾸준하게 진행되고 있다. 본 연구에서는 TBM 터널 굴착 중 복합지반을 조우하는 상황을 모사한 유한요소(finite element) 수치해석 모델을 개발하였다. 개발된 수치해석 모델은 이론해와 실내실험으로부터 측정된 전기 비저항 결과값과의 비교를 통해 그 성능을 검증하였다. 이후 실제 터널의 형상과 지반조건, 측정전극의 배열 조건 등 전기 비저항 탐사에 대한 영향 변수를 설정하고 이에 따른 매개변수 해석을 수행하였다. 그 결과, 복합지반 내 경계면의 경사가 가파를수록, 복합지반을 구성하는 두 지반 사이의 전기 비저항 차이가 클수록, TBM 굴착 중 전기 비저항 측정값이 더 급격하게 변화함을 확인하였다. 또한, 보다 효율적이고 정확한 복합지반 예측을 위해 적절한 전극 간격 및 전극 배열 위치 선정의 중요성을 제고하였다. 결론적으로, 본 연구에서 개발된 수치해석 모델을 통한 터널 막장면 전방 복합지반 예측은 TBM 터널 시공 과제의 구조적 안정성과 경제적 효율성 증대에 이바지할 것으로 사료된다.

Abstract ▼ AI-Helper

As the number of underground structures has increased in recent decades, it has become crucial to predict geological hazards ahead of a tunnel face during tunnel construction. Consequently, this study developed a finite element (FE) numerical model to simulate electrical resistivity surveys in tunnel boring machine (TBM) operations for predicting mixed ground conditions in front of tunnel faces. The accuracy of the developed model was verified by comparing the numerical results not only with an analytical solution but also with experimental results. Using the developed model, a series of parametric studies were carried out to estimate the effect of geological conditions and sensor geometric configurations on electrical resistivity measurements. The results of these studies showed that both the interface slope and the difference in electrical resistivity between two different ground formations affect the patterns and variations in electrical resistivity observed during TBM excavation. Furthermore, it was revealed that selecting appropriate sensor spacing and optimizing the location of the electrode array were essential for enhancing the efficiency and accuracy of predictions related to mixed ground conditions. In conclusion, the developed model can serve as a powerful and reliable tool for predicting mixed ground conditions during TBM tunneling.

주제어

표/그림 (17)

그림 Fig. 1. Fundamental electrode array applied in electrical resistivity survey
그림 Fig. 2. Configuration of Wenner electrode array
그림 Fig. 3. Front view of the geometry for a vertical fault with Wenner array
그림 Fig. 4. Modeling for mixed ground condition ahead of TBM tunnel face
그림 Fig. 5. Geometry of the FE numerical model for the simplified model
표 Table 1. Material properties for the FE numerical model and experiment
그림 Fig. 6. Comparative analysis of numerical model with experimental results and analytical solution for the simpli-fied model
표 Table 2. Estimation of error for the comparative analysis
그림 Fig. 7. Numerical modeling for the tunnel excavation model
그림 Fig. 8. Estimation of effect for actual tunnel geometry
그림 Fig. 9. Results of parametric study for the interface slopes
그림 Fig. 10. Results of parametric study for the difference in electrical resistivity between two ground formations
그림 Fig. 11. Numerical model for parametric study of electrode spacing
그림 Fig. 12. Numerical model for parametric study of the location of electrode array
그림 Fig. 13. Results of parametric study for electrode spacing
그림 Fig. 14. Results of parametric study for the location of electrode array (Case 1)
그림 Fig. 15. Results of parametric study for the location of electrode array (Case 2)

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