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Rail Crack Monitoring Using Acoustic Emission Technique by Dan Li (English) Pape

US $123.68
ApproximatelyPHP 6,881.82
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eBay item number:395154718921
Last updated on Sep 23, 2024 00:20:35 PHTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN-13
9789811341298
Type
NA
Publication Name
NA
ISBN
9789811341298
Book Title
Rail Crack Monitoring Using Acoustic Emission Technique
Book Series
Springer Theses Ser.
Publisher
Springer
Item Length
9.2 in
Publication Year
2019
Format
Trade Paperback
Language
English
Illustrator
Yes
Item Height
0.3 in
Author
Dan Li
Genre
Technology & Engineering, Science
Topic
Materials Science / General, Civil / Transportation, Acoustics & Sound
Item Weight
16 Oz
Item Width
6.1 in
Number of Pages
Xxviii, 136 Pages

About this product

Product Identifiers

Publisher
Springer
ISBN-10
981134129X
ISBN-13
9789811341298
eBay Product ID (ePID)
3038721748

Product Key Features

Book Title
Rail Crack Monitoring Using Acoustic Emission Technique
Number of Pages
Xxviii, 136 Pages
Language
English
Topic
Materials Science / General, Civil / Transportation, Acoustics & Sound
Publication Year
2019
Illustrator
Yes
Genre
Technology & Engineering, Science
Author
Dan Li
Book Series
Springer Theses Ser.
Format
Trade Paperback

Dimensions

Item Height
0.3 in
Item Weight
16 Oz
Item Length
9.2 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Trade
Number of Volumes
1 vol.
Table Of Content
Introduction.- Literature review.- Propagation features and source location.- Sizing of fatigue cracks.- Field monitoring of rail cracks.- Conclusions and future work.
Synopsis
This thesis provides an innovative strategy for rail crack monitoring using the acoustic emission (AE) technique. The field study presented is a significant improvement on laboratory studies in the literature in terms of complex rail profile and crack conditions as well as high operational noise. AE waves induced by crack propagation, crack closure, wheel-rail impact and operational noise were obtained through a series of laboratory and field tests, and analyzed by wavelet transform (WT) and synchrosqueezed wavelet transform (SWT). A wavelet power-based index and the enhanced SWT scalogram were sequentially proposed to classify AE waves induced by different mechanisms according to their energy distributions in the time-frequency domain. A novel crack sizing method taking advantage of crack closure-induced AE waves was developed based on fatigue tests in the laboratory. The propagation characteristics of AE waves in the rail were investigated, and Tsallis synchrosqueezed wavelet entropy(TSWE) with time was finally brought forward to detect and locate rail cracks in the field. The proposed strategy for detection, location and sizing of rail cracks helps to ensure the safe and smooth operation of the railway system. This thesis is of interest to graduate students, researchers and practitioners in the area of structural health monitoring., This thesis provides an innovative strategy for rail crack monitoring using the acoustic emission (AE) technique. The field study presented is a significant improvement on laboratory studies in the literature in terms of complex rail profile and crack conditions as well as high operational noise. AE waves induced by crack propagation, crack closure, wheel-rail impact and operational noise were obtained through a series of laboratory and field tests, and analyzed by wavelet transform (WT) and synchrosqueezed wavelet transform (SWT). A wavelet power-based index and the enhanced SWT scalogram were sequentially proposed to classify AE waves induced by different mechanisms according to their energy distributions in the time-frequency domain. A novel crack sizing method taking advantage of crack closure-induced AE waves was developed based on fatigue tests in the laboratory. The propagation characteristics of AE waves in the rail were investigated, and Tsallis synchrosqueezed wavelet entropy (TSWE) with time was finally brought forward to detect and locate rail cracks in the field. The proposed strategy for detection, location and sizing of rail cracks helps to ensure the safe and smooth operation of the railway system. This thesis is of interest to graduate students, researchers and practitioners in the area of structural health monitoring.
LC Classification Number
TA365-367.5

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