A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model
https://orcid.org/0000-0002-5044-8482
HighlightsA resistor mesh model for damage detection in conductive concrete composites.Results demonstrate the capability of the proposed model to track damage.Results demonstrate the model is capable of detecting fracture-type damage.Non-evident internal damage in a steel reinforced concrete composite is detected.
AbstractInterest in self-sensing structural materials has grown in recent years due to their potential to enable continuous low-cost monitoring of next-generation smart-structures. The development of cement-based smart sensors appears particularly well suited for structural health monitoring due to their numerous possible field applications, ease of use, and long-term stability. Additionally, cement-based sensors offer a unique opportunity for monitoring of civil concrete structures because of their compatibility with new and existing infrastructure. In this paper, we propose the use of a computationally efficient resistor mesh model to detect, localize and quantify damage in structures constructed from conductive cement composites. The proposed approach is experimentally validated on non-reinforced and reinforced specimens made of nanocomposite cement paste doped with multi-walled carbon nanotubes under a variety of static loads and damage conditions. Results show that the proposed approach is capable of leveraging the strain-sensing and damage-sensitive properties of conductive cement composites for real-time distributed structural health monitoring of smart concrete structures, using simple and inexpensive electrical hardware and with very limited computational effort.
Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model
https://orcid.org/0000-0002-5044-8482
HighlightsA resistor mesh model for damage detection in conductive concrete composites.Results demonstrate the capability of the proposed model to track damage.Results demonstrate the model is capable of detecting fracture-type damage.Non-evident internal damage in a steel reinforced concrete composite is detected.
AbstractInterest in self-sensing structural materials has grown in recent years due to their potential to enable continuous low-cost monitoring of next-generation smart-structures. The development of cement-based smart sensors appears particularly well suited for structural health monitoring due to their numerous possible field applications, ease of use, and long-term stability. Additionally, cement-based sensors offer a unique opportunity for monitoring of civil concrete structures because of their compatibility with new and existing infrastructure. In this paper, we propose the use of a computationally efficient resistor mesh model to detect, localize and quantify damage in structures constructed from conductive cement composites. The proposed approach is experimentally validated on non-reinforced and reinforced specimens made of nanocomposite cement paste doped with multi-walled carbon nanotubes under a variety of static loads and damage conditions. Results show that the proposed approach is capable of leveraging the strain-sensing and damage-sensitive properties of conductive cement composites for real-time distributed structural health monitoring of smart concrete structures, using simple and inexpensive electrical hardware and with very limited computational effort.
Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model
https://orcid.org/0000-0002-5044-8482
HighlightsA resistor mesh model for damage detection in conductive concrete composites.Results demonstrate the capability of the proposed model to track damage.Results demonstrate the model is capable of detecting fracture-type damage.Non-evident internal damage in a steel reinforced concrete composite is detected.
AbstractInterest in self-sensing structural materials has grown in recent years due to their potential to enable continuous low-cost monitoring of next-generation smart-structures. The development of cement-based smart sensors appears particularly well suited for structural health monitoring due to their numerous possible field applications, ease of use, and long-term stability. Additionally, cement-based sensors offer a unique opportunity for monitoring of civil concrete structures because of their compatibility with new and existing infrastructure. In this paper, we propose the use of a computationally efficient resistor mesh model to detect, localize and quantify damage in structures constructed from conductive cement composites. The proposed approach is experimentally validated on non-reinforced and reinforced specimens made of nanocomposite cement paste doped with multi-walled carbon nanotubes under a variety of static loads and damage conditions. Results show that the proposed approach is capable of leveraging the strain-sensing and damage-sensitive properties of conductive cement composites for real-time distributed structural health monitoring of smart concrete structures, using simple and inexpensive electrical hardware and with very limited computational effort.
Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model
Downey, Austin (author) / D’Alessandro, Antonella (author) / Baquera, Micah (author) / García-Macías, Enrique (author) / Rolfes, Daniel (author) / Ubertini, Filippo (author) / Laflamme, Simon (author) / Castro-Triguero, Rafael (author)
Engineering Structures ; 148 ; 924-935
2017-07-08
12 pages
Article (Journal)
Electronic Resource
English
Damage localization and quantification in plate structures using ensemble network
| Elsevier | 2025
Detection of damage to reinforced-concrete structures using piezoelectric smart aggregates
| DOAJ | 2016
Damage Localization in Reinforced Concrete Structures by using Damping Measurements
| British Library Online Contents | 1999
Damage Detection in Concrete Slab Using Smart Sounding
| Springer Verlag | 2022