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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 32-757
Full Name: Roszilah Hamid
Position: Senior Lecturer
Age: ON
Sex: Female
Address: Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor
Country: MALAYSIA
Tel: 60389216447
Tel prefix:
Fax: 60389216147
E-mail address: roszilah@eng.ukm.my
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Title of the Paper: Algorithm for Automatic Defect Identification of Plate Structures in Impact Echo Assessment
Authors as they appear in the Paper: Sagar Das, A. R. Khalim, R. Hamid
Email addresses of all the authors: sagar02ruet@yahoo.com, khalim@eng.ukm.my, roszilah@eng.ukm.my
Number of paper pages: 10
Abstract: Impact echo method is an effective way to assess flaw in concrete. The commercially available impact echo analysis is interpreted manually, thus, to evaluate large area by the method is neither practical nor cost effective. In order to enhance the method in application to plate structure such as bridge decks, where duration of investigation plays substantial influence on traffic activity, data analysis and interpretation should not only be rapid and objective but also provide automatic mapping of deck quality at the end of investigation. This paper represents the development of algorithm for automatic impact echo data analysis in frequency domain and verification of the proposed method through theoretical and experimental effort. The algorithm has been developed based on the peak frequency movement from thickness frequency (fT) of slab in conjunction to an allowable range at which migration of thickness frequency is allowed in evaluating the investigated portion wi!
thout any defect. In addition, automatic identification of flaw in plate structure in term of flaw location is presented. For the verification of developed algorithm, an experimental program is conducted in laboratory with controlled flaw specimens and varying flaw sizes. It is observed that the algorithm responses well with flaw location being irrespective to the studied flaw sizes. As a result, a software program can be developed based on this algorithm to eliminate the presence of skilled attendance during field investigation of slabs.
Keywords: Algorithm, Assessment, Impact echo, Automatic, Plate structure, Defect identification
EXTENSION of the file: .rtf
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