Acoustic Emission for Corrosion Detection

2006 ◽  
Vol 13-14 ◽  
pp. 231-236 ◽  
Author(s):  
P.T. Cole ◽  
J.R. Watson
Keyword(s):  
Acoustic Emission ◽  
Storage Tank ◽  
Crack Formation ◽  
Industrial Plant ◽  
Reinforced Concrete Structures ◽  
Passive Monitoring ◽  
Corrosion Detection ◽  
Process Plant ◽  
Acoustic Methods ◽  
Evaluation And Monitoring

Corrosion is the major cause of structural degradation in industrial plant and structures; the consequences of not identifying its presence and status can be severe, leading to a myriad of methods for its evaluation and monitoring. Amongst these there are a large number based on acoustic methods, and this paper concentrates on three variations involving passive monitoring with the aim of summarizing their usual area of applications and limitations. Passive monitoring involves listening to the process of corrosion itself, which usually causes acoustic emission as a result of the fracture and de-bonding of expansive corrosion products, localised yielding, or micro-crack formation. This method is applied to reinforced concrete structures, storage tank floors, and process plant whilst in service.

The Corrosion Acoustic Emission Source Location Technique and its New Trend

2013 ◽  
Vol 694-697 ◽  
pp. 1167-1172
Author(s):  
Hai Sheng Bi ◽  
Zi Li Li ◽  
Yuan Peng Cheng ◽  
Isaac Isaac ◽  
Jun Wang
Keyword(s):  
Acoustic Emission ◽  
Storage Tank ◽  
Petrochemical Industry ◽  
Source Location ◽  
Location Method ◽  
Corrosion Detection ◽  
Emission Testing ◽  
Acoustic Emission Source ◽  
Acoustic Emission Testing ◽  
Location Methods

The corrosion acoustic emission (AE) source location is one of the main purposes of acoustic emission testing (AET), corrosion detection and location can guarantee the safety and integrity of pipeline, storage tank and other equipment in the petrochemical industry. The computed source location and zonal location methods are reviewed in this paper, and also new source location method based on modal acoustic emission (MAE) is introduced and this new method will be more widely used in the field of corrosion detection in future.

scholarly journals Analysis of Damage Evolution in Concrete under Fatigue Loading by Acoustic Emission and Ultrasonic Testing

Materials ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 341
Author(s):  
Marc Thiele ◽  
Stephan Pirskawetz
Keyword(s):  
Acoustic Emission ◽  
Elastic Modulus ◽  
Cyclic Loading ◽  
Fatigue Damage ◽  
Fatigue Loading ◽  
Measurement Methods ◽  
Material Structure ◽  
Fatigue Process ◽  
Acoustic Methods ◽  
Normal Strength

The fatigue process of concrete under compressive cyclic loading is still not completely explored. The corresponding damage processes within the material structure are especially not entirely investigated. The application of acoustic measurement methods enables a better insight into the processes of the fatigue in concrete. Normal strength concrete was investigated under compressive cyclic loading with regard to the fatigue process by using acoustic methods in combination with other nondestructive measurement methods. Acoustic emission and ultrasonic signal measurements were applied together with measurements of strains, elastic modulus, and static strength. It was possible to determine the anisotropic character of the fatigue damage caused by uniaxial loading based on the ultrasonic measurements. Furthermore, it was observed that the fatigue damage seems to consist not exclusively of load parallel oriented crack structures. Rather, crack structures perpendicular to the load as well as local compacting are likely components of the fatigue damage. Additionally, the ultrasonic velocity appears to be a good indicator for fatigue damage beside the elastic modulus. It can be concluded that acoustic methods allow an observation of the fatigue process in concrete and a better understanding, especially in combination with further measurement methods.

scholarly journals Recognition Algorithm of Acoustic Emission Signals Based on Conditional Random Field Model in Storage Tank Floor Inspection Using Inner Detector

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yibo Li ◽  
Yuxiang Zhang ◽  
Huiyu Zhu ◽  
Rongxin Yan ◽  
Yuanyuan Liu ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Acoustic Emission ◽  
Random Field ◽  
Storage Tank ◽  
Field Model ◽  
Conditional Random Field ◽  
Recognition Algorithm ◽  
Support Vector ◽  
Random Field Model ◽  
Conditional Random Field Model

Acoustic emission (AE) technique is often used to detect inaccessible area of large storage tank floor with AE sensors placed outside the tank. For tanks with fixed roofs, the drop-back signals caused by condensation mix with corrosion signals from the tank floor and interfere with the online AE inspection. The drop-back signals are very difficult to filter out using conventional methods. To solve this problem, a novel AE inner detector, which works inside the storage tank, is adopted and a pattern recognition algorithm based on CRF (Conditional Random Field) model is presented. The algorithm is applied to differentiate the corrosion signals from interference signals, especially drop-back signals caused by condensation. Q235 steel corrosion signals and drop-signals were collected both in laboratory and in field site, and seven typical AE features based on hits and frequency are extracted and selected by mRMR (Minimum Redundancy Maximum Relevance) for pattern recognition. To validate the effectiveness of the proposed algorithm, the recognition result of CRF model was compared with BP (Back Propagation), SVM (Support Vector Machine), and HMM (Hidden Markov Model). The results show that training speed, accuracy, and ROC (Receiver Operating Characteristic) results of the CRF model outperform other methods.

Research on Acoustic Emission In-Service Inspection for Large Above-Ground Storage Tank Floors

2010 ◽  
Author(s):  
Mingchun Lin ◽  
Yewei Kang ◽  
Weibin Wang ◽  
Lei Zhang ◽  
Yi Sun
Keyword(s):  
Acoustic Emission ◽  
Storage Tank ◽  
Magnetic Flux Leakage ◽  
Analysis Method ◽  
Inspection Method ◽  
Oil Tank ◽  
Flux Leakage ◽  
Service Inspection ◽  
Service Field ◽  
Corrosion Data

Much manpower is needed and a lot of materials are wasted when the floor of large above-ground storage tank (AST) is inspected with conventional methods which need to shut down the tank, then to empty and clean it before inspection. Due to the disadvantages of that, an in-service inspection method using acoustic emission (AE) technology is presented. By this mean the rational inspection plan and integrity evaluation of tank floors can be constructed. First, specific inspection steps are established based on the acoustic emission principle for large AST’s floors and the practical condition of AST in order to acquire the AE corrosion data. Second, analysis method of acoustic emission dataset is studied. Finally, maintenance proposes are provided based on results of analysis for the corrosion status of the tank floors. In order to evaluate the performance of our method, an in-service field inspection is practiced on product oil tank with a volume of 5000 cubic meters. Then a traditional inspection procedure using magnetic flux leakage (MFL) technology is followed up. Comparative analysis of the results of the two inspection methods shows that there is consistency in localizing the position of corrosion between them. The feasibility of inservice inspection of AST’s floors with AE is demonstrated.

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