Haisheng Bi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Haisheng Bi has a total of 25 co-authors. Here are the top co-authors by number of shared publications:
- Haoran Cheng
Qingdao University of Science and Technology
4 shared publications - Jiaxu Miao
College of Pipeline and Civil Engineering, China University of Petroleum, Qingdao 266580, China
3 shared publications Chen Zhang
Qingdao University of Science & Technology
2 shared publications- Chen Zhang
College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
2 shared publications Chengbin Zhang
Research Institute of Shaanxi Yanchang Petroleum (Group) Company Ltd
2 shared publications- Chunxun Ma
College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
2 shared publications
Latest Publications
- Open Access
- 1 April 2026
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 3221 (1)
Investigation of stress corrosion cracking in X80 pipeline steel under SSRT using acoustic emission
With the increasing operational pressure, diameter, and strength of long-distance oil and gas pipelines, corrosion and failure risks also rise. Pipelines exposed to soil stress and corrosive ions experience coating degradation, and under the combined effect of complex environments and mechanical stress, stress corrosion cracking can initiate below the material’s yield strength, leading to failures. This study employs acoustic emission monitoring during Slow Strain Rate Tension (SSRT) tests to investigate stress corrosion cracking in X80 pipeline steel. The cracking process is classified into four distinct stages: hydrogen bubble rupture, pitting initiation and growth, crack initiation and propagation, and final fracture. Acoustic emission parameters, including count, duration, and energy, effectively distinguish these stages, offering a basis for practical corrosion signal recognition in pipeline integrity management.
- 1 April 2026
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 3221 (1)
Open AccessInvestigation of stress corrosion cracking in X80 pipeline steel under SSRT using acoustic emission
With the increasing operational pressure, diameter, and strength of long-distance oil and gas pipelines, corrosion and failure risks also rise. Pipelines exposed to soil stress and corrosive ions experience coating degradation, and under the combined effect of complex environments and mechanical stress, stress corrosion cracking can initiate below the material’s yield strength, leading to failures. This study employs acoustic emission monitoring during Slow Strain Rate Tension (SSRT) tests to investigate stress corrosion cracking in X80 pipeline steel. The cracking process is classified into four distinct stages: hydrogen bubble rupture, pitting initiation and growth, crack initiation and propagation, and final fracture. Acoustic emission parameters, including count, duration, and energy, effectively distinguish these stages, offering a basis for practical corrosion signal recognition in pipeline integrity management.
- Open Access
- 1 February 2026
- Published by AIP Publishing in AIP Advances
- Vol. 16 (2)
Synergistic effect of Cl− and HCO3− on the corrosion of X90 pipeline steel in an alkaline soil environment
This study systematically investigates the corrosion behavior of X90 pipeline steel in simulated alkaline soil solution (pH = 9.0) by combining electrochemical techniques and acoustic emission monitoring. The effects of chloride ions (Cl−, concentration gradient: 0, 0.03, 0.05, 0.07 mol/l) and bicarbonate ions (HCO3−, concentration gradient: 0, 0.02, 0.05, 0.10 mol/l) on corrosion characteristics were examined. Potentiodynamic polarization curves and electrochemical impedance spectroscopy tests revealed that the corrosion rate of X90 steel increases significantly with increasing Cl− concentration. For instance, the corrosion rate is 0.176 mm/a in the Cl−-free environment and rises to 0.364 mm/a when the Cl− concentration increases to 0.07 mol/l. In addition, the presence of HCO3− inhibits the corrosion process in the alkaline environment. AE signal analysis indicated that the corrosion process is dominated by the metal dissolution stage, generating two types of characteristic signal clusters: metal dissolution signals and passive film formation signals, with peak frequencies of 150 kHz and 125–150 kHz, respectively, and peak amplitudes of 5 × 10−3 V and 0.024 V. Post-corrosion microscopic observation confirmed obvious pitting corrosion on the steel surface (with diameters ∼20 μm), demonstrating that HCO3− and Cl− synergistically induce and accelerate the initiation and propagation of pitting corrosion.
- 1 February 2026
- Published by AIP Publishing in AIP Advances
- Vol. 16 (2)
Open AccessSynergistic effect of Cl− and HCO3− on the corrosion of X90 pipeline steel in an alkaline soil environment
This study systematically investigates the corrosion behavior of X90 pipeline steel in simulated alkaline soil solution (pH = 9.0) by combining electrochemical techniques and acoustic emission monitoring. The effects of chloride ions (Cl−, concentration gradient: 0, 0.03, 0.05, 0.07 mol/l) and bicarbonate ions (HCO3−, concentration gradient: 0, 0.02, 0.05, 0.10 mol/l) on corrosion characteristics were examined. Potentiodynamic polarization curves and electrochemical impedance spectroscopy tests revealed that the corrosion rate of X90 steel increases significantly with increasing Cl− concentration. For instance, the corrosion rate is 0.176 mm/a in the Cl−-free environment and rises to 0.364 mm/a when the Cl− concentration increases to 0.07 mol/l. In addition, the presence of HCO3− inhibits the corrosion process in the alkaline environment. AE signal analysis indicated that the corrosion process is dominated by the metal dissolution stage, generating two types of characteristic signal clusters: metal dissolution signals and passive film formation signals, with peak frequencies of 150 kHz and 125–150 kHz, respectively, and peak amplitudes of 5 × 10−3 V and 0.024 V. Post-corrosion microscopic observation confirmed obvious pitting corrosion on the steel surface (with diameters ∼20 μm), demonstrating that HCO3− and Cl− synergistically induce and accelerate the initiation and propagation of pitting corrosion.
- Open Access
Research on Acid Aging and Damage Pattern Recognition of Glass Fiber-Reinforced Plastic Oil and Gas Gathering Pipelines Based on Acoustic Emission
Pipelines extend thousands of kilometers to transport and distribute oil and gas. Given the challenges often faced with corrosion, fatigue, and other issues in steel pipes, the demand for glass fiber-reinforced plastic (GFRP) pipes is increasing in oil and gas gathering and transmission systems. However, the medium that is transported through these pipelines contains multiple acid gases such as CO2 and H2S, as well as ions including Cl−, Ca2+, Mg2+, SO42−, CO32−, and HCO3−. These substances can cause a series of problems, such as aging, debonding, delamination, and fracture. In this study, a series of aging damage experiments were conducted on V-shaped defect GFRP pipes with depths of 2 mm and 5 mm. The aging and failure of GFRP were studied under the combined effects of external force and acidic solution using acoustic emission (AE) techniques. It was found that the acidic aging solution promoted matrix damage, fiber/matrix desorption, and delamination damage in GFRP pipes over a short period. However, the overall aging effect was relatively weak. Based on the experimental data, the SSA-LSSVM algorithm was proposed and applied to the damage pattern recognition of GFRP. An average recognition rate of up to 90% was achieved, indicating that this method is highly suitable for analyzing AE signals related to GFRP damage.
Open AccessResearch on Acid Aging and Damage Pattern Recognition of Glass Fiber-Reinforced Plastic Oil and Gas Gathering Pipelines Based on Acoustic Emission
Pipelines extend thousands of kilometers to transport and distribute oil and gas. Given the challenges often faced with corrosion, fatigue, and other issues in steel pipes, the demand for glass fiber-reinforced plastic (GFRP) pipes is increasing in oil and gas gathering and transmission systems. However, the medium that is transported through these pipelines contains multiple acid gases such as CO2 and H2S, as well as ions including Cl−, Ca2+, Mg2+, SO42−, CO32−, and HCO3−. These substances can cause a series of problems, such as aging, debonding, delamination, and fracture. In this study, a series of aging damage experiments were conducted on V-shaped defect GFRP pipes with depths of 2 mm and 5 mm. The aging and failure of GFRP were studied under the combined effects of external force and acidic solution using acoustic emission (AE) techniques. It was found that the acidic aging solution promoted matrix damage, fiber/matrix desorption, and delamination damage in GFRP pipes over a short period. However, the overall aging effect was relatively weak. Based on the experimental data, the SSA-LSSVM algorithm was proposed and applied to the damage pattern recognition of GFRP. An average recognition rate of up to 90% was achieved, indicating that this method is highly suitable for analyzing AE signals related to GFRP damage.
- Open Access
- 12 July 2024
- Published by MDPI AG in Preprints.org
Research on Acid Aging and Damage Pattern Recognition of GFRP Oil-Gas Gathering Pipeline Based on Acoustic Emission
Pipelines extend thousands of kilometers to transport and distribute oil and gas. Given the challenges often faced with corrosion, fatigue, and other issues on steel pipes, the demand for glass fiber reinforced plastics (GFRP) pipes is increasing in the oil and gas gathering and transmission systems. However, the medium transported through these pipelines contains multiple acid gases such as CO2 and H2S, as well as ions including Cl-、Ca2+、Mg2+、SO42-、CO32- and HCO3-. These substances can cause a series of problems, such as aging, debonding, delamination, and fracture. In this study, a series of aging damage experiments were conducted on V-shaped GFRP pipes with depths of 2mm and 5mm. The aging and failure of GFRP were studied under the combined effects of external force and acidic solution using acoustic emission (AE) techniques. It was found that the acidic aging solution promoted matrix damage, fiber/matrix desorption, and delamination damage in GFRP pipes over a short period. However, the overall aging effect was relatively weak. Based on the experimental data, the SSA-LSSVM algorithm was proposed and applied to the damage pattern recognition of GFRP. An average recognition rate of up to 90% was achieved, indicating that this method is highly suitable for analyzing AE signals related to GFRP damage.
- 12 July 2024
- Published by MDPI AG in Preprints.org
Open AccessResearch on Acid Aging and Damage Pattern Recognition of GFRP Oil-Gas Gathering Pipeline Based on Acoustic Emission
Pipelines extend thousands of kilometers to transport and distribute oil and gas. Given the challenges often faced with corrosion, fatigue, and other issues on steel pipes, the demand for glass fiber reinforced plastics (GFRP) pipes is increasing in the oil and gas gathering and transmission systems. However, the medium transported through these pipelines contains multiple acid gases such as CO2 and H2S, as well as ions including Cl-、Ca2+、Mg2+、SO42-、CO32- and HCO3-. These substances can cause a series of problems, such as aging, debonding, delamination, and fracture. In this study, a series of aging damage experiments were conducted on V-shaped GFRP pipes with depths of 2mm and 5mm. The aging and failure of GFRP were studied under the combined effects of external force and acidic solution using acoustic emission (AE) techniques. It was found that the acidic aging solution promoted matrix damage, fiber/matrix desorption, and delamination damage in GFRP pipes over a short period. However, the overall aging effect was relatively weak. Based on the experimental data, the SSA-LSSVM algorithm was proposed and applied to the damage pattern recognition of GFRP. An average recognition rate of up to 90% was achieved, indicating that this method is highly suitable for analyzing AE signals related to GFRP damage.