Advanced and Innovative Technologies for Structural Health Monitoring

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (10 February 2022) | Viewed by 1488

Special Issue Editors


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Guest Editor
Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Interests: structural robustness; natural hazards; man-made hazards; exceptional loads on structures; threat-independent damage scenarios
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Structural, Geotechnical and building Engineering (DISEG), Polytechnic of Turin, 10129 Turin, Italy
Interests: finite elements
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the past, when structures contained elements which were perishable over time (e.g., wood), the maintenance of houses, bridges, etc. was considered of vital importance to be able to use them safely and preserve their efficiency. With the advent of materials such as reinforced concrete and steel, given their relatively long useful life, periodic and constant maintenance has often been considered a secondary element. However, since it was realized that even for works made with these materials the useful life has an end, and that we are approaching it, planning maintenance has become an important and non-negligible aspect. Thus was born the concept of structural health monitoring (SHM), and to keep civil engineering works under constant control, multidisciplinary methods have been designed and implemented. In fact, computational mechanics, the static and dynamic analysis of structures, electronics, sensors, and recently also the Internet of Things (IoT) and artificial intelligence (AI) come into play. However, it is also important to consider new materials—especially those with intrinsic characteristics of self-diagnosis, just as it is important to make use of measurement and survey methods typical of modern geomatics, which also makes use of satellite surveys and uses highly sophisticated laser tools. We propose this Special Issue to investigate all these issues.

With significance of structural health monitoring for civil engineering, in general, and its materials, in particular, this Special Issue aims to publish peer-reviewed and open access papers that focus on analytical, experimental, and/or numerical investigations advancing the body of knowledge and its application in this important area of materials. 

Dr. Valerio De Biagi
Prof. Dr. Giulio Ventura
Guest Editors

Manuscript Submission Information

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Published Papers (1 paper)

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Research

16 pages, 2803 KiB  
Article
Synchronized Assessment of Bridge Structural Damage and Moving Force via Truncated Load Shape Function
by Jiwei Zhong, Ziru Xiang and Cheng Li
Appl. Sci. 2022, 12(2), 691; https://doi.org/10.3390/app12020691 - 11 Jan 2022
Cited by 1 | Viewed by 1154
Abstract
Moving load and structural damage assessment has always been a crucial topic in bridge health monitoring, as it helps analyze the daily operating status of bridges and provides fundamental information for bridge safety evaluation. However, most studies and research consider these issues as [...] Read more.
Moving load and structural damage assessment has always been a crucial topic in bridge health monitoring, as it helps analyze the daily operating status of bridges and provides fundamental information for bridge safety evaluation. However, most studies and research consider these issues as two separate problems. In practice, unknown moving loads and damage usually coexist and influence the bridge vibration synergically. This paper proposes an innovative synchronized assessment method that determines structural damages and moving forces simultaneously. The method firstly improves the virtual distortion method, which shifts the structural damage into external virtual forces and hence transforms the damage assessment as well as the moving force identification to a multi-force reconstruction problem. Secondly, a truncated load shape function (TLSF) technique is developed to solve the forces in the time domain. As the technique smoothens the pulse function via a limited number of TLSF, the singularity and dimension of the system matrix in the force reconstruction is largely reduced. A continuous beam and a three-dimensional truss bridge are simulated as examples. Case studies show that the method can effectively identify various speeds and numbers of moving loads, as well as different levels of structural damages. The calculation efficiency and robustness to white noise are also impressive. Full article
(This article belongs to the Special Issue Advanced and Innovative Technologies for Structural Health Monitoring)
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