Premium
Remote monitoring of structural health in composites
Author(s) -
Golchinfar Behnoush,
Donskoy Dimitri,
Pavlov Julius,
Rutner Marcus
Publication year - 2017
Publication title -
steel construction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.443
H-Index - 8
eISSN - 1867-0539
pISSN - 1867-0520
DOI - 10.1002/stco.201710007
Subject(s) - composite number , composite material , materials science , structural health monitoring , delamination (geology) , aerospace , cracking , bridge (graph theory) , polar , automotive industry , deformation (meteorology) , mechanical engineering , structural engineering , engineering , aerospace engineering , geology , physics , medicine , paleontology , astronomy , subduction , tectonics
Dedicated to Prof. Dr. Eng. Akimitsu Kurita on his 70th birthday, in honour of his scientific achievements, guidance and the education of his students. This paper explores a new interdisciplinary method for internal damage detection and tracking in composite materials using thermo‐chemical sensing. A micro‐sized network of strings is interwoven into the composites. Each string consists of a pair of tubes containing one of two different non‐polar reactants. A local defect within the composites causes straining and cracking of the tube shell, resulting in direct contact between the two non‐polar reactants. The latter undergo a chemical reaction resulting in a polar product. When exposed to a microwave energy source, a polar product heats up dramatically within seconds in comparison to the surrounding composite material or the non‐polar reactants. This localized thermal signature can be rendered visible by an infrared camera. This study summarizes the findings of an in‐depth computational and experimental study of this sensing technology which is expected to be applicable across industries using composites, among them aerospace, automotive, offshore and bridge engineering. Potential applications in steel offshore or steel bridge engineering involve using composite sensing patches to cover fatigue fracture‐critical components. Defects initiating on the steel substrate surface are expected to be sensed on demand with this proposed sensing technology.