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Heat transfer 1D modeling for Non Destructive Testing and Structural Health Monitoring for civil engineering structures improved by GPGPU

Antoine Crinière 1 Jean Dumoulin 2, 1 Laurent Mevel 1
1 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
Abstract : Since the past decade, infrared thermography coupled with inverse models based on 1d thermal quadrupoles have shown their usefulness in civil engineering by first showing their ability to assess the quantitative non destructive testing of concrete repaired by bonded CFRP plate over a wide area (i.e. repaired or reinforced concrete beams). On the other hand early implementations of long terms monitoring methods based on such approach have given their first results over a whole bridge deck. The experimental method, allow us to have the apparent surface temperature field evolution with time for a wide area divided in pixels. Knowing this specificity, the procedure aims to apply an independent model to each pixel in order to retrieve physical properties map. Such treatment can have a high computational cost. In this paper we propose various improvement of our procedure based on GPGPU paradigm in order to shorten the computational time. This study will detail an experimental procedure able to assess the long term thermal monitoring of a bridge deck over days and to draw properties maps of the inner structure.
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Submitted on : Monday, September 26, 2016 - 3:53:44 PM
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Antoine Crinière, Jean Dumoulin, Laurent Mevel. Heat transfer 1D modeling for Non Destructive Testing and Structural Health Monitoring for civil engineering structures improved by GPGPU. 8th European Workshop On Structural Health Monitoring (EWSHM 2016), Jul 2016, Bilbao Spain. ⟨hal-01332760⟩

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