Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/572160
Title: | Damage detection in structures with the application of artificial neural network based modified mode shape curvature |
Researcher: | Gupta,Sonu Kumar |
Guide(s): | Das,Surajit |
Keywords: | Engineering and Technology Engineering Engineering Civil |
University: | National Institute of Technology Agartala |
Completed Date: | 2024 |
Abstract: | As a result of external influences as well as the environment, every mechanical and newlinecivil structure in the actual world deteriorates continuously over its service life. newlineAlthough the frequency response-curvature methodology is commonly used to detect newlineirregularities in mechanical and civil structures, the artificial neural network-based newlinemode shape curvature method may have good efficacy in identification of structural newlinedamages. A new technique is presented to identify saw-cut damage locations and newlineseverities in beam models using experimental data sets. newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/572160 |
Appears in Departments: | Department of Civil Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 346.96 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.63 MB | Adobe PDF | View/Open | |
03_content.pdf | 1.93 MB | Adobe PDF | View/Open | |
04_abstract.pdf | 337.64 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.04 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 838.3 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 2.52 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 9.72 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 7.38 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 7.93 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 7.72 MB | Adobe PDF | View/Open | |
12_chapter 8.pdf | 544.71 kB | Adobe PDF | View/Open | |
13_annuxres.pdf | 1.44 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 891.65 kB | Adobe PDF | View/Open |
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