Open AccessDetecting Damage in Thin Plates by Processing Infrared Thermographic Data with Topological Derivatives
Author(s) -
Manuel Peña,
María-Luisa Rapún
Publication year - 2019
Publication title -
advances in mathematical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.283
H-Index - 23
eISSN - 1687-9139
pISSN - 1687-9120
DOI - 10.1155/2019/5494795
Subject(s) - noise (video) , infrared , process (computing) , thermal , computer science , harmonic , thermography , range (aeronautics) , intensity (physics) , signal (programming language) , data processing , heat transfer , topology (electrical circuits) , materials science , artificial intelligence , optics , acoustics , image (mathematics) , physics , engineering , mechanics , composite material , electrical engineering , meteorology , programming language , operating system
A thermogram is a color image produced by a thermal camera where each color level represents a different radiation intensity (temperature). In this paper, we study the use of steady and time-harmonic thermograms for structural health monitoring of thin plates. Since conductive heat transfer is short range and the associated signal–to–noise ratio is not much favorable, efficient data processing tools are required to successfully interpret thermograms. We will process thermograms by a mathematical tool called topological derivative, showing its efficiency in very demanding situations where thermograms are highly polluted by noise, and/or when the parameters of the medium fluctuate randomly. An exhaustive gallery of numerical simulations will be presented to assess the performance and limitations of this tool.