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Ruilang Cao

China Institute of Water Resources and Hydropower Research (IWHR) - State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin

Beijing

China

SCHOLARLY PAPERS

4

DOWNLOADS

252

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Assessment of Rock Strength by a New Drillability Index in Precussive-Rotary Drilling

Number of pages: 18 Posted: 25 Aug 2023
Ruilang Cao and Shangxin Feng
China Institute of Water Resources and Hydropower Research (IWHR) - State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin and affiliation not provided to SSRN
Downloads 85 (796,622)

Abstract:

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Percussive-rotary drilling, Rock drillability index, Penetration rate, Percussive pressure, Unconfined Compressive Strength, Orthogonal rock breaking test.

2.

Effective Boulder Detections in Shield Tunneling Through Complex Coastal Strata Using a Hybrid Machine Learning Method

Number of pages: 23 Posted: 22 Aug 2024
affiliation not provided to SSRN, China Institute of Water Resources and Hydropower Research (IWHR) - State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 80 (823,616)

Abstract:

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shield tunneling, hybrid machine learning method, boulder detection, coastal areas, case study

3.

Rock Mass Classification Method Based on TBM Rock Cutting Indices

Number of pages: 40 Posted: 05 Jan 2026
affiliation not provided to SSRN, Beijing Jiaotong University, Shijiazhuang Tiedao University, Shijiazhuang Tiedao University, affiliation not provided to SSRN, affiliation not provided to SSRN and China Institute of Water Resources and Hydropower Research (IWHR) - State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin
Downloads 45 (1,145,425)

Abstract:

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DFPI, DTPI, TBM rock-mass classification across diameters, multidimensional Bayesian classification.

4.

Comparative Analysis of Missing Values in Large-Scale Tbm Monitoring Datasets Using Multiple Processing Methods

Number of pages: 24 Posted: 17 Jun 2024
affiliation not provided to SSRN, China Institute of Water Resources and Hydropower Research (IWHR) - State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, affiliation not provided to SSRN, Shenzhen University, affiliation not provided to SSRN, University of Paris-Saclay and affiliation not provided to SSRN
Downloads 42 (1,170,409)

Abstract:

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TBM engineering, Missing data, Processing methods, Imputation strategies, Machine learning, Empirical research