EconPapers    
Economics at your fingertips  
 

Analysis and Damage Identification of a Moderately Thick Cracked Beam Using an Interdependent Locking-Free Element

Marco Pingaro (), Giacomo Maurelli () and Paolo Venini ()
Additional contact information
Marco Pingaro: Sapienza University of Rome
Giacomo Maurelli: University of Pavia
Paolo Venini: University of Pavia

Journal of Optimization Theory and Applications, 2020, vol. 187, issue 3, No 9, 800-821

Abstract: Abstract The Timoshenko interdependent interpolation element, based on the assumption of cubic interpolation for the transverse displacement and quadratic interpolation for the rotation, is developed for both the static and the dynamic problems. Next, the different behavior of a beam due to the presence of a damaged zone is investigated and the problem of identifying diffused crack affecting a portion of the beam using natural frequencies is studied. The damaged zone can be completely taken into account by introducing only three parameters, and for the inverse problem, numerical optimization is applied to define their values.

Keywords: Interdependent interpolation element; Damage parameters; Direct problem; Inverse problem; Numerical optimization; 49J53; 49K99; 49K35 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-020-01637-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:187:y:2020:i:3:d:10.1007_s10957-020-01637-6

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-020-01637-6

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:187:y:2020:i:3:d:10.1007_s10957-020-01637-6