Next Article in Journal
Wavelength Conversion Enhancement Achieved by Using Resonance in an Array of Nanocylinders
Previous Article in Journal
A Thermographic Measurement Approach to Assess Supercapacitor Electrical Performances
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Appl. Sci. 2017, 7(12), 1245; https://doi.org/10.3390/app7121245

Structural Damage Detection with Different Objective Functions in Noisy Conditions Using an Evolutionary Algorithm

1
Department of Civil Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
2
Department of Electronics Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
3
Micro/Nano Electronic System Integration R&D Center (MESIC), University of Science & Technology of China (USTC), Hefei 230027, China
*
Author to whom correspondence should be addressed.
Received: 12 October 2017 / Revised: 21 November 2017 / Accepted: 28 November 2017 / Published: 1 December 2017
(This article belongs to the Section Acoustics)
View Full-Text   |   Download PDF [6357 KB, uploaded 1 December 2017]   |  

Abstract

Dynamic properties such as natural frequencies and mode shapes are directly affected by damage in structures. In this paper, changes in natural frequencies and mode shapes were used as the input to various objective functions for damage detection. Objective functions related to natural frequencies, mode shapes, modal flexibility and modal strain energy have been used, and their performances have been analyzed in varying noise conditions. Three beams were analyzed: two of which were simulated beams with single and multiple damage scenarios and one was an experimental beam. In order to do this, SAP 2000 (v14, Computers and Structures Inc., Berkeley, CA, United States, 2009) is linked with MATLAB (r2015, The MathWorks, Inc., Natick, MA, United States, 2015). The genetic algorithm (GA), an evolutionary algorithm (EA), was used to update the damaged structure for damage detection. Due to the degradation of the performance of objective functions in varying noisy conditions, a modified objective function based on the concept of regularization has been proposed, which can be effectively used in combination with EA. All three beams were used to validate the proposed procedure. It has been found that the modified objective function gives better results even in noisy and actual experimental conditions. View Full-Text
Keywords: dynamic properties; objective functions; evolutionary algorithm; regularization; noisy conditions dynamic properties; objective functions; evolutionary algorithm; regularization; noisy conditions
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Shabbir, F.; Khan, M.I.; Ahmad, N.; Tahir, M.F.; Ejaz, N.; Hussain, J. Structural Damage Detection with Different Objective Functions in Noisy Conditions Using an Evolutionary Algorithm. Appl. Sci. 2017, 7, 1245.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top