Publications

A quality index for construction big data in EPB shield tunneling

Working paper, to be submitted to Automation in Construction

We proposed a concise formulation of a quality index for construction big data in EPB shield tunneling, which is defined as the average value among three distinct sub-terms, i.e., Representativeness, Diversity, and Informativeness.

Significance and formulation of ground loss in tunneling-induced settlement prediction: a data-driven study

Published in Acta Geotechnica, 2023

We developed a data-drvien formulation for capturing the relationships between ground loss and relative parameters, whihc can well capture the target with an R-value equaling 0.84.The developed formulation is implemented in the O’Reilly & New solution, yielding a hybrid model for settlement. This hybrid model can well predict the settlement with an R-value of 0.84, confirming the feasibility of the data-driven formulation for ground loss.

Recommended citation: Ren, Y., Zhang, C., Zhu, M., Chen, R., & Wang, J. (2023). Significance and formulation of ground loss in tunneling-induced settlement prediction: a data-driven study. Acta Geotechnica, 1-16. https://link.springer.com/article/10.1007/s11440-023-01859-8

A Kriging-Random Forest Hybrid Model for Real-time Ground Property Prediction during Earth Pressure Balance Shield Tunneling

Published in axiv, 2023

A kriging-random forest hybrid model is developed for real-time ground property prediction ahead of the earth pressure balanced shield by integrating Kriging extrapolation and random forest, which can guide shield operating parameter selection thereby mitigate construction risks. The proposed KRF algorithm synergizes two types of information: prior information and real-time information.

Recommended citation: Geng, Z., Zhang, C., Ren, Y., Zhu, M., Chen, R., & Cheng, H. (2023). A Kriging-Random Forest Hybrid Model for Real-time Ground Property Prediction during Earth Pressure Balance Shield Tunneling. arXiv preprint arXiv:2305.05128. https://www.researchgate.net/publication/370633408_A_Kriging-Random_Forest_Hybrid_Model_for_Real-time_Ground_Property_Prediction_during_Earth_Pressure_Balance_Shield_Tunneling

A novel tunnel lighting method aided by highly diffuse reflective materials on the sidewall: Theory and practice

Published in Tunnelling and Underground Space Technology, 2022

We implement a so-called five-parameter model for identifying the reflection properties of tunnel walls, calibrating the models with the experimental results of common materials of tunnel walls. Then, We taken reflection properties of tunnel walls into illuminance calculation via the five-parameter model and proposed an analytical solution.

Recommended citation: He, S., Ren, Y., Liu, H., Liang, B., & Du, G. (2022). A novel tunnel lighting method aided by highly diffuse reflective materials on the sidewall: Theory and practice. Tunnelling and Underground Space Technology, 122, 104336. https://www.sciencedirect.com/science/article/abs/pii/S0886779821005277