2022
DOI: 10.18400/tekderg.634659
|View full text |Cite
|
Sign up to set email alerts
|

The Strain Sensitivity of Coal Reinforced Smart Concrete by Piezoresistive Effect

Abstract: The structures are challenged by earthquakes, material degradations and other environmental factors. In order to protect the lives, assets, and for maintenance planning, structural health monitoring (SHM) is important. In SHM applications, strain gages are widely used which have low durability, low sensitivity while they have high cost. To monitor a structure, large number of strain gages have to be used that increases the cost. In this study, seven coal reinforced concrete mixtures with 0, 0.35, 0.5, 0.8, 1, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 42 publications
0
1
0
Order By: Relevance
“…Some popular conductive fillers used in the fabrication of self-sensing materials are carbon nanotubes [14][15][16][17][18], carbon black [17,[19][20][21][22], graphene nanoplatelets (GNPs) [17,23], and carbon fibers [17,20,24,25]. Other less popular fillers have been researched, including nickel [26,27], aerographite [28], sodium silicate [29], and coal [30]. Hybrid doping methods were also reported by combining different types of fillers.…”
Section: Introductionmentioning
confidence: 99%
“…Some popular conductive fillers used in the fabrication of self-sensing materials are carbon nanotubes [14][15][16][17][18], carbon black [17,[19][20][21][22], graphene nanoplatelets (GNPs) [17,23], and carbon fibers [17,20,24,25]. Other less popular fillers have been researched, including nickel [26,27], aerographite [28], sodium silicate [29], and coal [30]. Hybrid doping methods were also reported by combining different types of fillers.…”
Section: Introductionmentioning
confidence: 99%