The Past, Present and Future of Structural Health Monitoring: An Overview of Three Ages

ABSTRACT This paper presents an overview of the discipline of structural health monitoring (SHM), organised in terms of three proposed ages. The first age is delineated by the prehistory of SHM and the period where nondestructing testing methods evolved into an organised set of principles built upon physics‐based models; this age ended when the model‐based approaches reached an impasse in terms of their ability to properly deal with real‐world problems. The second age of SHM began with a transition to data‐based methods based on statistical pattern recognition, which provided a holistic approach to SHM problems for the first time. This age arguably ended when the methods foundered in situations where the necessary training data were scarce. It is argued here that the third age began with the development of population‐based SHM, which has been designed to overcome the problem of data scarcity. As there is very limited space in a single article to provide a comprehensive overview, an appendix has been provided here that gives a very systematic bibliography of SHM reviews—a meta‐bibliography.

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Publication Details

Journal
Strain
Published
2025-02-01
DOI
https://doi.org/10.1111/str.12495
Citations
23
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
21.92

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article

The Past, Present and Future of Structural Health Monitoring: An Overview of Three Ages

Nikolaos Dervilis, Keith Worden, Charles R. Farrar
23 citations
Strain
Structural Health Monitoring Techniques
21.92
article

The Past, Present and Future of Structural Health Monitoring: An Overview of Three Ages

Nikolaos Dervilis, Keith Worden, Charles R. Farrar
article en
23 citations

Abstract

ABSTRACT This paper presents an overview of the discipline of structural health monitoring (SHM), organised in terms of three proposed ages. The first age is delineated by the prehistory of SHM and the period where nondestructing testing methods evolved into an organised set of principles built upon physics‐based models; this age ended when the model‐based approaches reached an impasse in terms of their ability to properly deal with real‐world problems. The second age of SHM began with a transition to data‐based methods based on statistical pattern recognition, which provided a holistic approach to SHM problems for the first time. This age arguably ended when the methods foundered in situations where the necessary training data were scarce. It is argued here that the third age began with the development of population‐based SHM, which has been designed to overcome the problem of data scarcity. As there is very limited space in a single article to provide a comprehensive overview, an appendix has been provided here that gives a very systematic bibliography of SHM reviews—a meta‐bibliography.

StrainVol. 61(1)
Los Alamos National Laboratory (US), Los Alamos National Security (United States) (US), University of Sheffield (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 0%
Structural Health Monitoring Techniques
21.92
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