Nanocomposite Based Structural Health Monitoring Approaches for Fibre Reinforced Polymers - On Doorstep to Industrial Relevance after Two Decades of Intense Research? - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Nanocomposite Based Structural Health Monitoring Approaches for Fibre Reinforced Polymers - On Doorstep to Industrial Relevance after Two Decades of Intense Research?

Résumé

Reliability and availability thus minimized cost-intensive downtime are mandatory for successful application of fibre reinforced polymer (FRP) structures in many industrial branches. Different approaches for Structural Health Monitoring (SHM) systems compete for industrial application. Nanoscale carbon particle filled polymer matrices exhibit good performance regarding structural integrity as well as spatial resolution to create functionally enhanced composites. Changes of electrical signal due to deformation of the modified polymer are used as corresponding piezoresistive signal (ÒSensingî). Major drawbacks like incompatibility of implementation strategies into existing manufacturing processes or insufficient sensor properties anticipate propagating implementation of nanocomposite SHM approaches especially in large structures. Therefore fundamental materialÕs knowledge for property tailoring combined with well-thought-out implementation strategies are necessary. The present contribution offers an overview over todayÕs research on nanocomposite based SHM trials from nanoscale material level to promising implementation strategies.
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Dates et versions

hal-01022027 , version 1 (10-07-2014)

Identifiants

  • HAL Id : hal-01022027 , version 1

Citer

Daniel Fritsch, Christian Viets, Evgenij Mannov, Karl Schulte, Bodo Fiedler. Nanocomposite Based Structural Health Monitoring Approaches for Fibre Reinforced Polymers - On Doorstep to Industrial Relevance after Two Decades of Intense Research?. EWSHM - 7th European Workshop on Structural Health Monitoring, IFFSTTAR, Inria, Université de Nantes, Jul 2014, Nantes, France. ⟨hal-01022027⟩
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