A novel approach for non-destructive EMI-based corrosion monitoring of concrete-embedded reinforcements using multi-orientation piezoelectric sensors

2020 ◽  
pp. 121689
Author(s):  
Jamal Ahmadi ◽  
Mohammad Hamed Feirahi ◽  
Salar Farahmand-Tabar ◽  
Amir Hossein Keshvari Fard
Keyword(s):  
Piezoelectric Sensors ◽  
Corrosion Monitoring ◽  
Novel Approach ◽  
Non Destructive

scholarly journals A New Prototype for Automatic Identification of Stone Block Internal Structure

2021 ◽  
Vol 11 (14) ◽  
pp. 6630
Author(s):  
Bernardo Anes ◽  
Joao Figueiredo ◽  
Mouhaydine Tlemçani
Keyword(s):  
Internal Structure ◽  
Empirical Method ◽  
Automatic Process ◽  
Automatic Identification ◽  
Ultrasonic Tomography ◽  
Stone Block ◽  
Novel Approach ◽  
Process Measurements ◽  
Automatic Positioning ◽  
Non Destructive

Nowadays, the inner shape and economic viability of a stone block is dependent on the skill and experience of the “expert” that makes predictions based on external observations. This actual procedure is an extremely high empirical method, and when it fails, substantial work, time, and money is wasted. At present, researchers are committed to developing models to predict the stone block internal structure based on non-destructive tests. Ultrasonic tomography and electrical resistivity tomography are the tests that best fit these objectives. Trying to improve the existing procedures for collecting stone information and data exporting, a novel approach to perform both tomographies is proposed in this paper. This novel approach presents sound advantages regarding the current manual procedure: namely, (i) high accuracy due to a new automatic positioning system; (ii) no need for highly skilled operators to process measurements; (iii) measurements are much easier to derive, and results are quickly delivered. A comparison between the new automatic process and the current manual procedure shows that the manual procedure has a very low accuracy when compared to the new developed automatic system. The automatic measurements show extremely significant time savings, which is a relevant issue for the future competitiveness of the stone sector.

scholarly journals Corrosion Monitoring Method of Porous Aluminum Alloy Plate Hole Edges Based on Piezoelectric Sensors

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1106 ◽  
Author(s):  
Wei Dai ◽  
Xiangyu Wang ◽  
Meng Zhang ◽  
Weifang Zhang ◽  
Rongqiao Wang
Keyword(s):  
Aluminum Alloy ◽  
Corrosion Damage ◽  
Reconstruction Algorithm ◽  
Piezoelectric Sensors ◽  
Corrosion Monitoring ◽  
Monitoring Method ◽  
Alloy Plate ◽  
Porous Aluminum ◽  
Stress Concentration Region ◽  
Aluminum Alloy Plate

Corrosion damage to the aircraft structure can significantly reduce the safety performance and endanger flight safety. Especially when the corrosion occurs in a stress concentration region, such as hole edges, it can easily threaten the entire structure. In this paper, an on-line imaging qualitative monitoring algorithm based on piezoelectric sensors is proposed for detecting hole edge corrosion damage of porous aluminum alloy structures. The normalized amplitude is used to characterize the correlation between the initial Lamb wave signal and the damage signal, which is as an image reconstruction parameter in the algebraic iterative probability reconstruction algorithm. Moreover, a homogenization algorithm is proposed to process the reconstruction results. The experimental results of single hole and double hole corrosion for porous aluminum alloy plate show that the method can effectively achieve the location and quantification of corrosion damage to one and two holes of the porous structure.

MODELING A THERMAL IMAGING PROCESS IN AN IMPACT DAMAGED COMPOSITE STRUCTURE

2005 ◽  
Vol 02 (01) ◽  
pp. 63-76
Author(s):  
M. Z. ISKANDARANI ◽  
N. F. SHILBAYEH
Keyword(s):  
Data Analysis ◽  
Composite Structure ◽  
Thermal Imaging ◽  
Electronic Circuit ◽  
Impact Damage ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Novel Approach ◽  
Wavelength Variation ◽  
Non Destructive

An innovative NDT (non-destructive testing) technique for interrogating materials for their defects has been developed successfully. The technique has a novel approach to data analysis by employing intensity, RGB signal re-mix and wavelength variation of a thermally generated IR-beam onto the specimen under test which can be sensed and displayed on a computer screen as an image. Specimen inspection and data analysis are carried out through pixel level re-ordering and shelving techniques within a transformed image file using a sequence grouping and regrouping software system, which is specifically developed for this work. The interaction between an impact damaged RIM composite structure and thermal energy is recorded, analyzed, and modeled using an equivalent Electronic circuit. Effect of impact damage on the integrity of the composite structure is also discussed.

scholarly journals Ultra-spatial synchrotron radiation for imaging molecular chemical structure: Applications in plant and animal studies

2007 ◽  
Vol 21 (4) ◽  
pp. 183-192 ◽  
Author(s):  
Peiqiang Yu
Keyword(s):  
Animal Studies ◽  
Animal Tissues ◽  
Infrared Microspectroscopy ◽  
Novel Approach ◽  
Fourier Transform Infrared Microspectroscopy ◽  
Synchrotron Light ◽  
Non Destructive ◽  
Analytical Technology ◽  
Subcellular Level ◽  
Effective Source

Synchrotron-based Fourier transform infrared microspectroscopy (S-FTIR) has been developed as a rapid, direct, non-destructive, bioanalytical technique. This technique takes advantage of synchrotron light brightness and small effective source size and is capable of exploring the molecular chemical features and make-up within microstructures of a biological tissue without destruction of inherent structures at ultra-spatial resolutions within cellular dimension. To date there has been very little application of this advanced synchrotron technique to the study of plant and animal tissues' inherent structure at a cellular or subcellular level. In this article, a novel approach was introduced to show the potential of the newly developed, advanced synchrotron-based analytical technology, which can be used to reveal molecular structural-chemical features of various plant and animal tissues.

scholarly journals Aircraft Fuselage Corrosion Detection Using Artificial Intelligence

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4026
Author(s):  
Bruno Brandoli ◽  
André R. de Geus ◽  
Jefferson R. Souza ◽  
Gabriel Spadon ◽  
Amilcar Soares ◽  
...  
Keyword(s):  
Deep Neural Networks ◽  
Structural Integrity ◽  
Lap Joints ◽  
Inspection System ◽  
Corrosion Monitoring ◽  
Corrosion Detection ◽  
Aircraft Fuselage ◽  
Operator Fatigue ◽  
Non Destructive ◽  
Variable Probability

Corrosion identification and repair is a vital task in aircraft maintenance to ensure continued structural integrity. Regarding fuselage lap joints, typically, visual inspections are followed by non-destructive methodologies, which are time-consuming. The visual inspection of large areas suffers not only from subjectivity but also from the variable probability of corrosion detection, which is aggravated by the multiple layers used in fuselage construction. In this paper, we propose a methodology for automatic image-based corrosion detection of aircraft structures using deep neural networks. For machine learning, we use a dataset that consists of D-Sight Aircraft Inspection System (DAIS) images from different lap joints of Boeing and Airbus aircrafts. We also employ transfer learning to overcome the shortage of aircraft corrosion images. With precision of over 93%, we demonstrate that our approach detects corrosion with a precision comparable to that of trained operators, aiding to reduce the uncertainties related to operator fatigue or inadequate training. Our results indicate that our methodology can support specialists and engineers in corrosion monitoring in the aerospace industry, potentially contributing to the automation of condition-based maintenance protocols.

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