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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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publications
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
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
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 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.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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