Article
Engineering, Mechanical
Thang Bui Quy, Jong-Myon Kim
Summary: This paper presents a novel approach for crack detection and localization in high-pressure fluid pipelines using acoustic emission signals, which involves scanning peaks, filtering noise, localizing emission sources through time difference of arrival technique, and eliminating false emission sources by considering wave energy attenuation characteristics. By observing the distribution of emission sources according to position and time, the method can indicate the location of irregular structural changes based on emission source distribution and density along the pipeline.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Mechanical
Jia Zhang, Zhanghua Lian, Zhaoming Zhou, Zijun Song, Meng Liu, Kelong Yang
Summary: In long-term operation, buried pipelines are prone to corrosion, deformation, and fracture, resulting in leakage. Distributed temperature sensing (DTS) and location method based on temperature signals have been gradually applied to the pipe network. However, the DTS is difficult to comprehensively monitor pipeline leakage and has blind monitoring areas. In addition, fiber optics are difficult to capture continuous low-temperature changes because of the heat dissipation of soil porous media. Thus, distributed acoustic sensing (DAS) is needed to assist the comprehensive monitoring. The acquisition of acoustic signals caused by the leakage field is of great significance to the study of pipeline leakage monitoring methods. The research results provide a theoretical basis for the field application of distributed optical fiber acoustic detection.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Electrical & Electronic
Jing Huang, Zhifen Zhang, Rui Qin, Yanlong Yu, Guangrui Wen, Wei Cheng, Xuefeng Chen
Summary: Wall penetration and weld crack leakage of pressure pipelines pose a threat to their service safety. To address the challenge of high sampling frequency in acoustic emission (AE) technology for online monitoring, a lightweight intelligent architecture is proposed to monitor crack leakage in pipeline welds. This method effectively learns high-level abstract features from compressed AE data. Through well-designed experiments with different crack leaks, the proposed method's effectiveness is validated. Results show that the number of sampling points is reduced by 80% and the compressed AE data has better characterization capabilities. Compared to other state-of-the-art methods, the proposed method outperforms in four performance metrics, offering a new possibility for pipeline leak monitoring based on AE in the industrial field.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Multidisciplinary
Seyed Amir Hoseini Sabzevari, Seyed Morteza Javadpour
Summary: A new approach based on low sampling rate sensors is proposed to estimate artificial leakage location in pressurized gas-filled pipelines. The proposed technique requires low sampling rate data and uses acoustic sensors localized on one side of the leakage. This paper introduces a novel technique to localize artificial leakage by implementing two simple electret microphones and attenuation analysis. Experimental results demonstrate the effectiveness of the proposed technique in low sampling rate data.
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING
(2023)
Article
Chemistry, Analytical
Niamat Ullah, Zahoor Ahmed, Jong-Myon Kim
Summary: Pipelines are important for distributing liquid and gas resources, but leaks can lead to resource waste, health risks, distribution downtime, and economic loss. This article proposes a machine learning-based platform that uses acoustic emission (AE) technology to detect pinhole-sized leaks. Statistical features extracted from the AE signal are used to train machine learning models. The proposed platform achieves an exceptional overall classification accuracy of 99% for detecting leaks and pinhole-sized leaks.
Article
Engineering, Environmental
Xinqi Zhang, Jihao Shi, Ming Yang, Xinyan Huang, Asif Sohail Usmani, Guoming Chen, Jianmin Fu, Jiawei Huang, Junjie Li
Summary: This study proposes a leakage detection and localization approach by integrating attention mechanism with LSTM network. A labor-scale pipeline leakage experiment is conducted to construct the benchmark dataset and a comparison between the proposed approach and the state-of-the-art methods is performed. The results demonstrate higher accuracy with AUC = 0.99.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Engineering, Mechanical
Zahoor Ahmad, Tuan-Khai Nguyen, Akhand Rai, Jong-Myon Kim
Summary: This paper proposes a novel technique for leak detection and localization in industrial fluid pipelines. The method utilizes acoustic emission signals and a multiscale Mann-Whitney test for leak detection, and a newly developed method called acoustic emission event tracking for leak localization. The results demonstrate that this method outperforms reference methods in terms of accuracy for leak detection and localization under variable pressure and leak conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Multidisciplinary
Sun Yu, Liu Wei, Jiang Chunlei, Cong Zhicheng, Wang Yingying, Cui Kunyu, Ren Anning, Yan Wendi
Summary: This study introduces a new microfiber sensor based on the Mach-Zehnder structure, which is designed specifically for detecting small gas pipeline leaks. The sensor, encased in a double layer of poly-dimethylsiloxane (PDMS) and utilizing a nut with a hole as an external fixation device, can accurately measure low-frequency acoustic pressure changes. Experimental results show that the sensor is capable of detecting acoustic signals generated by small leakage apertures measuring 0.1 mm in diameter, with a strong linear relationship between the received voltage signal and the size of the leakage aperture.
Article
Chemistry, Physical
Jianlu Zhu, Jun Pan, Yixiang Zhang, Yuxing Li, He Li, Hui Feng, Dongsheng Chen, Yimin Kou, Rui Yang
Summary: This study provides essential information about the diffusion behavior and concentration distribution of underground hydrogen and natural gas mixture leakages through large-scale experimental simulation.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Environmental
Cuiwei Liu, Yihan Liao, Jie Liang, Zhaoxue Cui, Yuxing Li
Summary: This study successfully predicted the leakage rate and dispersion range of gases in the soil by establishing leakage rate estimation model and methane diffusion model, which were validated by experimental and numerical results.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Energy & Fuels
Baozhen Zhang, Rongxue Kang, Hongqing Zhu, Qi Yuan, Qing Zhang, Ximeng Zhou
Summary: This study investigates the diffusion law and safety evaluation of buried product oil pipeline leakage, using single-hole and double-hole leakage as examples, through computational fluid dynamics (CFD) method. The results show the variation laws of inlet and outlet pressure, flow velocity, flow rate, and diffusion range of buried product oil leakage. Furthermore, the risk of multi-source leakage is evaluated using analytic hierarchy process (AHP) and fuzzy synthetic evaluation (FSE).
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Energy & Fuels
Fanxi Bu, Shuangqing Chen, Yang Liu, Bing Guan, Xingwang Wang, Zechang Shi, Guangwei Hao
Summary: This paper studied the effects of ground conditions and soil characteristics on methane leakage and diffusion, establishing calculation models for methane leakage rate and Early Warning Boundary. Results showed that both ground conditions and soil characteristics had certain impacts on methane leakage and diffusion.
Article
Engineering, Multidisciplinary
Zixian Zhou, Zhiwen Cui, Tribikram Kundu
Summary: A fast approach for acoustic source localization on thin isotropic and anisotropic spherical shells is proposed, requiring a small number of sensors to accurately predict the location of the acoustic source, and it works well for both isotropic and anisotropic spherical shells.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Sandip Dey, Souvik Chakraborty, Solomon Tesfamariam
Summary: A new efficient approach for uncertainty quantification of pipeline structural response using multi-fidelity Gaussian processes is presented, combining the accuracy of detailed and simplified numerical models. The method is applied to quantify uncertainty and identify sensitive input variables for pipe-soil fault rupture problems, resulting in fragility curves for specific sites.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Construction & Building Technology
Xianghua Chen, Wenxin Chen, Liyuan Zhao, Yekai Chen
Summary: The rapid pace of urbanization has increased the frequency of road collapses due to underground pipeline leakage, which poses a significant threat to urban traffic safety. This study conducted model tests to analyze the process of subgrade seepage erosion caused by pipeline leakage. The results revealed four distinct stages of erosion and the influence of water level, water flow rate, and soil type on the formation mechanism. The findings have valuable implications for researchers investigating roadbed cavities caused by urban underground pipeline leakage, contributing to safeguarding travel safety and reducing economic losses.
Article
Engineering, Chemical
Chao Chen, Hang Chen, Li Mo, Shenbin Xiao, Changjun Li, Ming Yang, Genserik Reniers
Summary: Fire-induced domino effect is a major threat to hazardous material storage tanks. Previous research neglected the impact of wind load on the thermal buckling behavior of tanks exposed to fire. This paper conducts a numerical simulation to analyze the synergistic effects of fire and wind loads on the thermal post-buckling behavior of storage tanks, considering wind parameters and heat radiation parameters.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Zhang Chu, Liu Lili, Li Wei, Li Beibei, Liu Mingxing
Summary: This study predicts the fatigue life of blasting discs using a combined simulation method and measures the deformation of conventional slotted blasting discs subjected to repeated loading using a high-precision laser scanning method. A relationship model is established between deformation, loading pressure, cycle number, and change in blasting pressure. The results show that the deformation varies linearly with the cycle number and follows a power function relationship with the change in blasting pressure. The deformation can be used to accurately predict the fatigue life of blasting discs.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Shin-Mei Ouyang, Jia-Chi Ye, Wei-Chun Chen, Yu-Jen Chen, Chin-Feng Chen
Summary: This study employed the Taguchi method and analysis of variance to investigate the factors that influence the deterioration of pyrotechnics when stored under different humidity and temperature conditions. Various experimental methods were used to study the microstructure, heat flow, and safety of the pyrotechnics. The results showed that humidity had a significant impact on the pyrotechnics, and controlling humidity could reduce the hazards associated with storing pyrotechnics.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Bei Li, Huiqiang Liu, Heng Gao, Chi-Min Shu, Mingshu Bi
Summary: The moisture content sprayed into the dust layer in industrial sites is a main factor affecting reignition. The study found that moisture has a certain influence on the thermophysical properties of the dust layer, playing an important role in heat transfer and heat absorption processes. The results showed that as the moisture content increased, the thermal conductivity and heat sink density of the sample increased, indicating the need to have a heat sink density higher than the heat increase value to suppress ignition.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Yue Jing, Yong Pan, Fan Yang, Dan Wei, Wenhe Wang
Summary: A comprehensive risk assessment method for the esterification process was proposed in this study. It established a comprehensive evaluation index system and utilized improved Dempster-Shafer evidence theory and cloud model for assessment. The method was validated through case studies and showed consistency with established indexes.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)