Journal ArticleDOI
Strain sensors based on the electrical resistance change accompanying the reversible pull-out of conducting short fibers in a less conducting matrix
TLDR
In this paper, a new class of strain sensors for short-fiber composites is proposed, based on the electrical resistance change accompanying the reversible pull-out of conducting short fibers in a less conducting matrix.Abstract:
A new class of strain sensors has been discovered. These sensors are short-fiber composites. Their sensing ability is based on the electrical resistance change accompanying the reversible pull-out of conducting short fibers in a less conducting matrix. The fiber pull-out is associated with crack opening; the fiber push-in is associated with crack closing. The fiber pull-out, though slight, causes an increase in the fiber-matrix contact resistivity, thereby increasing the overall resistance of the composite. An example of these sensors is carbon fiber reinforced concrete.read more
Citations
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Journal ArticleDOI
Cement reinforced with short carbon fibers: a multifunctional material
TL;DR: In this article, a review of carbon-matrix composites containing short carbon fibers is presented, which exhibit attractive tensile and flexural properties, low drying shrinkage, high specific heat, low thermal conductivity, high electrical conductivity and high corrosion resistance and weak thermoelectric behavior.
Journal ArticleDOI
Self-monitoring structural materials
TL;DR: In this paper, a self-monitoring (or intrinsically smart) structural material including concrete containing short carbon fibers, and polymer-matrix and carbon-carbon composites containing continuous carbon fibers were reviewed.
Journal ArticleDOI
Piezoresistive Cement-Based Materials for Strain Sensing
TL;DR: In this article, the authors reviewed the piezoresistive behavior, mechanism and materials of cement-based materials with continuous and discontinuous fibers, including carbon fibers and steel fibers.
Journal ArticleDOI
Piezoresistive properties of cement-based sensors: Review and perspective
TL;DR: In this article, the fundamental concepts, key components, manufacturing process, piezoresistivity measurements, and primary applications of cement-based sensors are reviewed in smart concrete to self-sense and monitor the damages and cracks through the measurements of concrete electrical resistivity.
Journal ArticleDOI
Self-monitoring of fatigue damage in carbon fiber reinforced cement
Xuli Fu,D.D.L. Chung +1 more
TL;DR: In this article, self-monitoring of slight fatigue damage was demonstrated in cement mortar containing short carbon fibers (0.24 vol.), as damage (occurring in the first < 10% of the tensile or compressive fatigue life) caused the volume electrical resistivity to decrease irreversibly by up to 2%.
References
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Journal ArticleDOI
Carbon fiber reinforced concrete for smart structures capable of non-destructive flaw detection
Pu-Woei Chen,D.D.L. Chung +1 more
TL;DR: The linearity between the volume resistivity change and the compressive stress was good for mortar containing carbon fibers together with either methylcellulose or latex as dispersants as discussed by the authors.
Journal ArticleDOI
A micromechanical model of tension-softening and bridging toughening of short random fiber reinforced brittle matrix composites
TL;DR: In this paper, a micromechanical model has been formulated for the post-cracking behavior of a brittle matrix composite reinforced with randomly distributed short fibers, which incorporates the mechanics of pull-out of fibers which are inclined at an angle to the matrix crack plane and which undergo slip-weakening or sliphardening during the pullout process.
Journal ArticleDOI
Postcrack Scaling Relations for Fiber Reinforced Cementitious Composites
TL;DR: In this paper, the prepeak and postpeak stress-displacement relations for the bridging mechanism associated with randomly oriented discontinuous flexible fibers in cement-based composites are derived.
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Carbon fiber reinforced concrete for smart structures capable of non-destructive flaw detection
Pu-Woei Chen,D.D.L. Chung +1 more