Next Article in Journal
Excitation of Wet Perovskite Films by Ultrasonic Vibration Improves the Device Performance
Next Article in Special Issue
Enhancing the Accuracy of Advanced High Temperature Mechanical Testing through Thermography
Previous Article in Journal
Evaluation of Low-Temperature Cracking Performance of Asphalt Pavements Using Acoustic Emission: A Review
Previous Article in Special Issue
Infrared Thermography for Inline Monitoring of Glass/Epoxy under Impact and Quasi-Static Bending
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessFeature PaperArticle
Appl. Sci. 2018, 8(2), 307; doi:10.3390/app8020307

From Thermal Inspection to Updating a Numerical Model of a Race Bicycle: Comparison with Structural Dynamics Approach

Deptartment Electromechanics, University of Antwerp, Op3Mech research group, Groenenborgerlaan 171, B-2020 Antwerp, Belgium
Additional affiliation: Deptartment Electromechanics, Deptartment Mechanical Engineering, Acoustics & Vibration Research Group, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium.
*
Author to whom correspondence should be addressed.
Received: 15 January 2018 / Revised: 9 February 2018 / Accepted: 14 February 2018 / Published: 21 February 2018
View Full-Text   |   Download PDF [4204 KB, uploaded 24 February 2018]   |  

Abstract

Carbon fiber bicycle frames are complex-shaped structures and are prone to delaminations and difficult to inspect. The use of finite element model updating is common in structural dynamics but not so common in active thermography inspection. However, there are many advantages to using thermography when inspecting bicycle frames. These include the fact that the inspection can be performed in situ, can cover large areas, and is a quantitative method. In this paper, a numerical model of a bicycle frame will be updated and optimized by the surface temperature distribution captured with pulsed thermography. These results will be compared and benchmarked against frequency response function (FRF) measurement data as a reference. The chosen temperature decay measurements to be used as reference data will be of key importance. The goal of this manuscript is to compare both measurement results and model predictabilities after performing finite element model updating with respect to accuracy and speed. View Full-Text
Keywords: active thermography; inverse problem; optimization; finite element model updating; modal analysis active thermography; inverse problem; optimization; finite element model updating; modal analysis
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

Steenackers, G.; Peeters, J.; Verspeek, S.; Ribbens, B. From Thermal Inspection to Updating a Numerical Model of a Race Bicycle: Comparison with Structural Dynamics Approach. Appl. Sci. 2018, 8, 307.

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