scholarly journals Experimental Study of Source Localization in Acoustic Emission using Triangulation Method

2021 ◽  
Vol 1197 (1) ◽  
pp. 012061
Author(s):  
Swetha Kanakaraj ◽  
Deepthika Pitchaikani
Keyword(s):  
Acoustic Emission ◽  
Source Localization ◽  
Structural Damage ◽  
Early Stage ◽  
Low Cost ◽  
Acoustic Emission Technique ◽  
Diagnosis And Prognosis ◽  
Large Structures ◽  
Triangulation Method ◽  
Efficient Detection

Abstract Conventional repair and rehabilitation techniques have proven effective only to treat damage and arrest it. Hence, the need to prevent the damage, to know the growing damage before a complete collapse is necessary. Thus, acoustic emission is a proven method for structural health monitoring, to find and rectify the damage at its early stage. The Acoustic emission technique could be directly applied for monitoring large structures made of concrete, aircrafts & bridges. It helps in recognition of structural damage prior, which helps in avoiding catastrophic failure. The proper and efficient detection of damage makes structure safer for the public. This is a low-cost & less intricate technique than conventional methods. Quantitative criteria of acoustic sensing will provide efficient diagnosis and prognosis of structural damage. This paper surmounts the triangulation method of source localization of acoustic emission. The data is gathered by the sensors and then used to know the location of damage/source and respective characteristics of the wave. MATLAB is used for defining the energy of the signals captured by the sensors. Thus, the signal parameter’s study and verification of the source’s location using sensors is justified to be correct in the acoustic emission technique.

Micro-cracking monitoring and fracture evaluation for crumb rubber concrete based on acoustic emission techniques

2017 ◽  
Vol 17 (4) ◽  
pp. 946-958 ◽  
Author(s):  
Jie Xu ◽  
Zhengwu Fu ◽  
Qinghua Han ◽  
Giuseppe Lacidogna ◽  
Alberto Carpinteri
Keyword(s):  
Acoustic Emission ◽  
Evaluation Method ◽  
Early Stage ◽  
Damping Ratio ◽  
Crumb Rubber ◽  
Acoustic Emission Technique ◽  
Statistical Parameters ◽  
Micro Cracks ◽  
Crumb Rubber Concrete ◽  
Rubber Concrete

A micro-cracking monitoring and fracture evaluation method for crumb rubber concrete based on the acoustic emission technique was developed. The precursory micro-cracking activity and fracture behavior of crumb rubber concrete with different rubber contents, 0%, 10%, and 15%, were analyzed. The various acoustic emission statistical parameters including cumulative event, frequency distribution, amplitude distribution, and b-value were used for the analysis. The general fracture process is similar for all normal and crumb rubber concretes and can be divided into three distinct stages of micro-crack activity, namely, early stage, main collapse stage, and post-fracture stage. The following conclusions were drawn from the analysis: (1) more micro-cracks initiated and grew at early stage in the normal concrete, while less micro-cracks in the crumb rubber concrete but with longer stage duration; (2) the duration and crack number are both increasing with the increase in the rubber contents in main collapse and post-fracture stages; (3) new crack types associated with the rubber particles were recorded due to the change of the peak frequencies; and (4) the amplitude of the cracks decrease with the increase in the rubber content due to the damping ratio and interface improvement by the mixed rubbers. The results obtained in this article demonstrate that the acoustic emission technique can provide valuable information for a better understanding of micro-cracking and fracture monitoring of crumb rubber concrete.

Structural Health Monitoring of Bridges

2011 ◽  
pp. 244-254
Author(s):  
Manindra Kaphle ◽  
Andy Tan ◽  
David Thambiratnam ◽  
Tommy Chan
Keyword(s):  
Acoustic Emission ◽  
Structural Health Monitoring ◽  
Source Localization ◽  
Health Monitoring ◽  
Urban Infrastructure ◽  
Acoustic Emission Technique ◽  
Emission Process ◽  
Structural Health ◽  
Civil Infrastructures ◽  
Current State

Managing the sustainability of urban infrastructure requires regular health monitoring of key infrastructure such as bridges. The process of structural health monitoring involves monitoring a structure over a period of time using appropriate sensors, extracting damage sensitive features from the measurements made by the sensors, and analysing these features to determine the current state of the structure. Various techniques are available for structural health monitoring of structures, and acoustic emission is one technique that is finding an increasing use in the monitoring of civil infrastructures such as bridges. Acoustic emission technique is based on the recording of stress waves generated by rapid release of energy inside a material, followed by analysis of recorded signals to locate and identify the source of emission and assess its severity. This chapter first provides a brief background of the acoustic emission technique and the process of source localization. Results from laboratory experiments conducted to explore several aspects of the source localization process are also presented. The findings from the study can be expected to enhance knowledge of the acoustic emission process, and to aid the development of effective bridge structure diagnostics systems.

Screening for Welding Defects Using Acoustic Emission Technique

2014 ◽  
Vol 1025-1026 ◽  
pp. 7-12 ◽  
Author(s):  
Abdalla Aboali ◽  
Mohamed El-Shaib ◽  
Ashraf Sharara ◽  
Mohamed Shehadeh
Keyword(s):  
Acoustic Emission ◽  
Pressure Vessels ◽  
Steel Plates ◽  
Great Role ◽  
Acoustic Emission Technique ◽  
Nondestructive Technique ◽  
Large Structures ◽  
Service Testing ◽  
Welding Defects ◽  
Series Of Experiments

– Welding defects can create a major threat in industrial equipments and pressure vessels can during operation. Detecting and identifying of existing welding defects has a great role in the assessment of the probability of failure in different situations. Acoustic emission (AE) is only a nondestructive technique that can be used as in-service testing and used on large structures. This paper examines the changes in the properties of AE source generated from Pencil Lead Break (PLB). AE is recorded across different seam welds with pre-identified welding defects. Series of experiments are carried out on three certified standard Carbon Steel plates. Each plate has different pre-identified defect such as lack of fusion, porosity and slag. Different AE parameters such Energy, Amplitude and number of counts have been used to identify quantitatively the type of defects. The results are showing that AE technique is capable to identifying the different defects types which can be upgraded for higher productivity and accuracy for welding inspection.

Optimizing the Acoustic-Emission Technique for Examining the Strength of Welded Joints

Vestnik MEI ◽  
2017 ◽  
pp. 96-101
Author(s):  
Viktor V. Nosov ◽  
◽  
Alsu R. Yamilova ◽  
Nikolay A. Zelenskiy ◽  
Ilya V. Matviyan ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Welded Joints ◽  
Acoustic Emission Technique

APPLICATION OF THE EARLY DAMAGE DIAGNOSTICS TECHNIQUE TO EXAMINATION OF THE AVIATION PANEL

2019 ◽  
Vol 85 (6) ◽  
pp. 53-63 ◽  
Author(s):  
I. E. Vasil’ev ◽  
Yu. G. Matvienko ◽  
A. V. Pankov ◽  
A. G. Kalinin
Keyword(s):  
Acoustic Emission ◽  
Damage Detection ◽  
High Speed ◽  
Early Stage ◽  
Video Data ◽  
High Speed Video ◽  
Damage Diagnostics ◽  
Subsurface Defect ◽  
Sensitive Coating ◽  
Early Damage

The results of using early damage diagnostics technique (developed in the Mechanical Engineering Research Institute of the Russian Academy of Sciences (IMASH RAN) for detecting the latent damage of an aviation panel made of composite material upon bench tensile tests are presented. We have assessed the capabilities of the developed technique and software regarding damage detection at the early stage of panel loading in conditions of elastic strain of the material using brittle strain-sensitive coating and simultaneous crack detection in the coating with a high-speed video camera “Video-print” and acoustic emission system “A-Line 32D.” When revealing a subsurface defect (a notch of the middle stringer) of the aviation panel, the general concept of damage detection at the early stage of loading in conditions of elastic behavior of the material was also tested in the course of the experiment, as well as the software specially developed for cluster analysis and classification of detected location pulses along with the equipment and software for simultaneous recording of video data flows and arrays of acoustic emission (AE) data. Synchronous recording of video images and AE pulses ensured precise control of the cracking process in the brittle strain-sensitive coating (tensocoating)at all stages of the experiment, whereas the use of structural-phenomenological approach kept track of the main trends in damage accumulation at different structural levels and identify the sources of their origin when classifying recorded AE data arrays. The combined use of oxide tensocoatings and high-speed video recording synchronized with the AE control system, provide the possibility of definite determination of the subsurface defect, reveal the maximum principal strains in the area of crack formation, quantify them and identify the main sources of AE signals upon monitoring the state of the aviation panel under loading P = 90 kN, which is about 12% of the critical load.

scholarly journals Automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Germano Heinzelmann ◽  
Michael K. Gilson
Keyword(s):  
Free Energy ◽  
Early Stage ◽  
Binding Free Energy ◽  
Low Cost ◽  
Free Energy Calculations ◽  
Free Energies ◽  
Energy Calculations ◽  
Drug Candidates ◽  
Binding Free Energy Calculations ◽  
Binding Free Energies

AbstractAbsolute binding free energy calculations with explicit solvent molecular simulations can provide estimates of protein-ligand affinities, and thus reduce the time and costs needed to find new drug candidates. However, these calculations can be complex to implement and perform. Here, we introduce the software BAT.py, a Python tool that invokes the AMBER simulation package to automate the calculation of binding free energies for a protein with a series of ligands. The software supports the attach-pull-release (APR) and double decoupling (DD) binding free energy methods, as well as the simultaneous decoupling-recoupling (SDR) method, a variant of double decoupling that avoids numerical artifacts associated with charged ligands. We report encouraging initial test applications of this software both to re-rank docked poses and to estimate overall binding free energies. We also show that it is practical to carry out these calculations cheaply by using graphical processing units in common machines that can be built for this purpose. The combination of automation and low cost positions this procedure to be applied in a relatively high-throughput mode and thus stands to enable new applications in early-stage drug discovery.

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