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Lu Liu

affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

128

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

The deflagration pressure and flame behavior of oil gas in coal mine with the dilution of carbon dioxide: An experimental and kinetic investigation

Number of pages: 32 Posted: 19 Dec 2025
Xi'an University of Science and Technology - School of Safety Science and Engineering, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Xi'an University of Science and Technology - School of Safety Science and Engineering
Downloads 41 (1,183,237)

Abstract:

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Coal mine oil gas, Explosion suppression, Flame instability, Kinetic analysis

2.

Third-Party Damage Monitoring Technology for Long-Distance Natural Gas Pipelines Based on Eemd

Number of pages: 26 Posted: 04 Jul 2024
Xi'an University of Science and Technology - School of Safety Science and Engineering, 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 40 (1,183,237)

Abstract:

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Safe transportation, Third-party Disruption, Feature extraction, EEMD

3.

Flame Propagation Dynamic Characteristics and Mechanisms of Methane–Syngas–Air Mixtures in a Semi-Enclosed Duct

Number of pages: 38 Posted: 11 Mar 2024
affiliation not provided to SSRN, Xi'an University of Science and Technology - School of Safety Science and Engineering, affiliation not provided to SSRN, affiliation not provided to SSRN, Xi'an University of Science and Technology - School of Safety Science and Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 31 (1,304,549)

Abstract:

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Methane/syngas/air mixture, Flame structure, Tulip flame, Overpressure characteristics, Kinetic characteristics

4.

Research on an Intelligent Monitoring Method for Third-Party Damage Events of Long-Distance Oil and Gas Pipelines Based on EEMD and Multi-Scale Convolutional Neural Network Image Recognition

Number of pages: 32 Posted: 28 Mar 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, Xi'an University of Science and Technology - School of Safety Science and Engineering, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 16 (1,509,872)

Abstract:

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Long-distance oil and gas pipelines, Third-party damage, Ensemble empirical mode decomposition (EEMD), Multi-scale convolutional neural network (MS-CNN), Safety monitoring