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Biao Li

Southwest Petroleum University

8# Xin du Avennue

Chengdu

China

SCHOLARLY PAPERS

5

DOWNLOADS

116

TOTAL CITATIONS

1

Scholarly Papers (5)

1.

Failure Mechanism and Deformation Forecasting of Surrounding Rock Mass in an Underground Cavern Based on Engineering Analogy Method

Number of pages: 28 Posted: 09 Sep 2023
Sichuan University, Sichuan University, affiliation not provided to SSRN, affiliation not provided to SSRN, Sichuan University and Southwest Petroleum University
Downloads 35 (1,249,711)
Citation 1

Abstract:

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Engineering analogy method, MS monitoring, Deformation forecasting, Underground powerhouse

2.

Deformation Characteristics and Damage Evolution Mechanism of Weak Interlayer Zone in Fractured Underground Cavern

Number of pages: 27 Posted: 27 Sep 2023
Sichuan University, Sichuan University, Sichuan University, Sichuan University, Sichuan University, Southwest Petroleum University and affiliation not provided to SSRN
Downloads 30 (1,318,317)

Abstract:

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Underground caverns, Multi-parameter monitoring, Weak interlayer zone, Deformation characteristics, Damage mechanisms

3.

Deformation Characteristics and Damage Evolution Analysis of Weak Interlayer Zone in Fractured Underground Cavern

Number of pages: 27 Posted: 13 Dec 2023
Sichuan University, Sichuan University, Sichuan University, Sichuan University, Sichuan University, Southwest Petroleum University and affiliation not provided to SSRN
Downloads 27 (1,385,945)

Abstract:

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Underground caverns, Multi-parameter monitoring, Weak interlayer zone, Deformation characteristics, Damage analysis

4.

Next 24 h Rockburst Probabilistic Warning Using Microseismic Monitoring and Machine Learning

Number of pages: 48 Posted: 20 Jun 2026
Sichuan University, Sichuan University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Southwest Petroleum University and affiliation not provided to SSRN
Downloads 13

Abstract:

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Rockburst, MS monitoring, machine learning, Probabilistic prediction, deep-buried tunnel

5.

Dynamic prediction of rockburst time in deep-buried tunnels integrating microseismic monitoring and power-law risk evolution

Number of pages: 53 Posted: 30 Apr 2026
Sichuan University, Sichuan University, affiliation not provided to SSRN, affiliation not provided to SSRN, Power China Chengdu Engineering Corporation Limited, Southwest Petroleum University and affiliation not provided to SSRN
Downloads 11 (1,534,404)

Abstract:

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rockburst, Microseismic monitoring, Dynamic prediction, Drilling and blasting method, Risk evolution