Xiang Zhao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Xiang Zhao has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Gang Fang
PLA Joint Logistics Support Force University of Engineering, Chongqing 401331, China
1 shared publication - Han Chen
PLA Joint Logistics Support Force University of Engineering, Chongqing 401331, China
1 shared publication - Jiping Yang
Chongqing CEPREI Industrial Technology Research Institute Co., Ltd., Chongqing 401332, China
1 shared publication - Weixing Hua
PLA Joint Logistics Support Force University of Engineering, Chongqing 401331, China
1 shared publication - Yan Chen
PLA Joint Logistics Support Force University of Engineering, Chongqing 401331, China
1 shared publication - Zhaojie Wu
PLA Joint Logistics Support Force University of Engineering, Chongqing 401331, China
1 shared publication
Latest Publications
- Open Access
Research on a Corrosion Detection Method for Oil Tank Bottoms Based on Acoustic Emission Technology
This paper presents an acoustic emission (AE) detection method for refined oil storage tanks which is aimed towards specialized places such as oil storage tanks with high explosion-proof requirements, such as cave oil tanks and buried oil tanks. The method utilizes an explosion-proof acoustic emission instrument to detect the floor of a refined oil storage tank. By calculating the time difference between the defective acoustic signal and the speed of acoustic wave transmission, a mathematical model is constructed to analyze the detected signals. An independent channel AE detection system is designed, which can store the collected data in a piece of independent explosion-proof equipment, and can analyze and process the data in a safe area after the detection, solving the problems of a short signal acquisition distance and the weak safety protection applied to traditional AE instruments. A location analysis of the AE sources is conducted on the bottom plate of the tank, evaluating its corrosion condition accurately. The consistency between the evaluation and subsequent open-tank tests confirms that using AE technology effectively captures corrosion signals from oil storage tanks’ bottoms. The feasibility of carrying out online inspection under the condition of oil storage in vertical steel oil tanks was verified through a comparison with open inspections, which provided a guide for determining the inspection target and opening order of large-scale oil tanks.
Open AccessResearch on a Corrosion Detection Method for Oil Tank Bottoms Based on Acoustic Emission Technology
This paper presents an acoustic emission (AE) detection method for refined oil storage tanks which is aimed towards specialized places such as oil storage tanks with high explosion-proof requirements, such as cave oil tanks and buried oil tanks. The method utilizes an explosion-proof acoustic emission instrument to detect the floor of a refined oil storage tank. By calculating the time difference between the defective acoustic signal and the speed of acoustic wave transmission, a mathematical model is constructed to analyze the detected signals. An independent channel AE detection system is designed, which can store the collected data in a piece of independent explosion-proof equipment, and can analyze and process the data in a safe area after the detection, solving the problems of a short signal acquisition distance and the weak safety protection applied to traditional AE instruments. A location analysis of the AE sources is conducted on the bottom plate of the tank, evaluating its corrosion condition accurately. The consistency between the evaluation and subsequent open-tank tests confirms that using AE technology effectively captures corrosion signals from oil storage tanks’ bottoms. The feasibility of carrying out online inspection under the condition of oil storage in vertical steel oil tanks was verified through a comparison with open inspections, which provided a guide for determining the inspection target and opening order of large-scale oil tanks.