Development of Intelligent Technologies in SHM on the Innovative Diagnosis in Civil Engineering - A Comprehensive Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F23%3A10253103" target="_blank" >RIV/61989100:27120/23:10253103 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2075-5309/13/8/1903" target="_blank" >https://www.mdpi.com/2075-5309/13/8/1903</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/buildings13081903" target="_blank" >10.3390/buildings13081903</a>
Alternative languages
Result language
angličtina
Original language name
Development of Intelligent Technologies in SHM on the Innovative Diagnosis in Civil Engineering - A Comprehensive Review
Original language description
This comprehensive review focuses on the integration of intelligent technologies, such as the Internet of Things (IoT), Artificial intelligence (AI), and Nondestructive Testing (NDT), in the Structural Health Monitoring (SHM) field of civil engineering. The article discusses intelligent technologies in SHM for residential, commercial, industrial, historical, and special buildings, such as nuclear power plants (NPPs). With the incorporation of intelligent technologies, there have been remarkable advancements in SHM, a crucial aspect of infrastructure safety, reliability, and durability. The combination of SHM and intelligent technologies provides a cost-effective and efficient building monitoring approach, significantly contributing to energy and resource conservation. This article explores using electronic instruments, such as sensors, microcontrollers, and embedded systems, to measure displacement, force, strain, and temperature, which are crucial for detecting structural damage. Implementing intelligent technologies in SHM reduces the reliance on manual and hazardous inspection practices, simplifying and reducing the cost of building monitoring. The article highlights the social, economic, and environmental benefits of adopting intelligent technologies in SHM by presenting key findings from existing research. This review aims to increase the reader's understanding of the significance of these technologies in enhancing the efficiency of SHM in civil engineering by illuminating their advancements and applications.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20100 - Civil engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Buildings
ISSN
2075-5309
e-ISSN
2075-5309
Volume of the periodical
13
Issue of the periodical within the volume
8
Country of publishing house
CH - SWITZERLAND
Number of pages
22
Pages from-to
—
UT code for WoS article
001056970200001
EID of the result in the Scopus database
2-s2.0-85169128219