[PDF] Neural Network Detection Of Fatigue Crack Growth In Riveted Joints Using Acoustic Emission eBook

Author : Adriano F. de Almeida
Publisher :
Page : 134 pages
File Size : 35,9 MB
Release : 1994
Category : Acoustic emission
ISBN :

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"The purpose of this research was to demonstrate the capability of neural networks to discriminate between individual acoustic emission (AE) signals originating from crack growth and rivet rubbing (fretting) in aluminum lap joints."--Leaf iv.

Author : Gongtian Shen
Publisher : Springer
Page : 671 pages
File Size : 37,1 MB
Release : 2014-09-25
Category : Science
ISBN : 1493912399

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This volume collects the papers from the 2013 World Conference on Acoustic Emission in Shanghai. The latest research and applications of Acoustic Emission (AE) are explored, with particular emphasis on detecting and processing of AE signals, development of AE instrument and testing standards, AE of materials, engineering structures and systems, including the processing of collected data and analytical techniques as well as experimental case studies.

Author : Raman Singh
Publisher : John Wiley & Sons
Page : 447 pages
File Size : 24,65 MB
Release : 2019-03-08
Category : Technology & Engineering
ISBN : 111942853X

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A comprehensive text to the non-destructive evaluation of degradation of materials due to environment that takes an interdisciplinary approach Non-Destructive Evaluation of Corrosion and Corrosion-assisted Cracking is an important resource that covers the critical interdisciplinary topic of non-destructive evaluation of degradation of materials due to environment. The authors—noted experts in the field—offer an overview of the wide-variety of approaches to non-destructive evaluation and various types of corrosion. The text is filled with instructive case studies from a range of industries including aerospace, energy, defense, and processing. The authors review the most common non-destructive evaluation techniques that are applied in both research and industry in order to evaluate the properties and more importantly degradation of materials components or systems without causing damage. Ultrasonic, radiographic, thermographic, electromagnetic, and optical are some of the methods explored in the book. This important text: Offers a groundbreaking interdisciplinary approach to of non-destructive evaluation of corrosion and corrosion-assisted cracking Discusses techniques for non-destructive evaluation and various types of corrosion Includes information on the application of a variety of techniques as well as specific case studies Contains information targeting industries such as aerospace, energy, processing Presents information from leading researchers and technologists in both non-destructive evaluation and corrosion Written for life assessment and maintenance personnel involved in quality control, failure analysis, and R&D, Non-Destructive Evaluation of Corrosion and Corrosion-assisted Cracking is an essential interdisciplinary guide to the topic.

Author : Ian Flood
Publisher : ASCE Publications
Page : 300 pages
File Size : 18,6 MB
Release : 1998-01-01
Category : Technology & Engineering
ISBN : 9780784474464

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Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE. This report illustrates advanced methods and new developments in the application of artificial neural networks to solve problems in civil engineering.Ø Topics include: Øevaluating new construction technologies; Øusing multi-layeredØartificial neural networkØarchitecture to overcome problems with conventional traffic signal control systems; Øincreasing the computational efficiency of an optimization model; Øpredicting carbonation depth in concrete structures; Ødetecting defects in concrete piles; Øanalyzing pavement systems; Øusing neural network hybrids to select the most appropriate bidders for a construction project; and Øpredicting the Energy Performance Index of residential buildings. ØMany of the ideas and techniques discussed in this book cross across disciplinary boundaries and, therefore, should be of interest to all civil engineers.

Author : Calvin Larod Jones
Publisher :
Page : 130 pages
File Size : 40,94 MB
Release : 2008
Category : Acoustic emission testing
ISBN :

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Investigates the monitoring and detecting of crack growth in A36 bridge steel using a new homemade piezoelectric (PZT) sensor. Compares the acoustic emissions (AE) results from attaching conventional sensors and bonded sensors to a steel specimen and putting them under fatigue loading to detect the AE from the crack emission. Completes a finite element simulation to verify the waveform that was produced to the experimental waveform of the bonded sensor.