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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&apos;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