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Applied Sciences
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Structural Health Monitoring, Damage Diagnosis, and Damage Prognosis: New Technologies...
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Structural Health Monitoring, Damage Diagnosis, and Damage Prognosis: New Technologies and Applications

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

Deadline for manuscript submissions: 30 June 2025 | Viewed by 6360

Special Issue Editors

Dr. Luca Lomazzi

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy
Interests: machine learning; structural health monitoring; damage diagnosis; extreme loading conditions; numerical simulations
Dr. Francesco Cadini

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy
Interests: machine learning; structural health monitoring; damage diagnosis; damage prognosis; structural reliability

Special Issue Information

Dear Colleagues,

In recent years, the integration of machine learning algorithms within structural mechanics frameworks has revolutionized several aspects, from making numerical simulations faster to identifying patterns in diagnostic signals for damage diagnosis and prognosis.

This Special Issue aims to collate the most recent advances in the field of artificial intelligence techniques for structural health monitoring, focusing on damage diagnosis and prognosis. We invite submissions presenting theoretical contributions and applications based on experimental and/or numerical case studies.

Topics of interest include but are not limited to:

  1. Innovative applications of deep learning techniques for damage diagnosis and prognosis;
  2. Exploring the transition from traditional supervised methods to unsupervised machine learning approaches;
  3. Advancements in generative artificial intelligence and its implications for structural health monitoring;
  4. Delving into the interpretability of intelligent algorithms.

Dr. Luca Lomazzi
Dr. Francesco Cadini
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • machine learning
  • generative artificial intelligence
  • unsupervised learning
  • explainability
  • structural health monitoring
  • damage diagnosis
  • damage prognosis

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Published Papers (3 papers)

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Research

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30 pages, 17043 KiB  
Article
Task-Oriented Structural Health Monitoring of Dynamically Loaded Components by Means of SLDV-Based Full-Field Mobilities and Fatigue Spectral Methods
by Alessandro Zanarini
Appl. Sci. 2025, 15(9), 4997; https://doi.org/10.3390/app15094997 (registering DOI) - 30 Apr 2025
Abstract
Expected lives of mechanical parts and structures depend upon the environmental conditions, their dynamic behaviours and the task-oriented spectra of different loadings. This paper exploits contactless full-field mobilities, estimated by Scanner Laser Doppler Vibrometry (SLDV), in the real manufacturing, assembling and loading [...] Read more.
Expected lives of mechanical parts and structures depend upon the environmental conditions, their dynamic behaviours and the task-oriented spectra of different loadings. This paper exploits contactless full-field mobilities, estimated by Scanner Laser Doppler Vibrometry (SLDV), in the real manufacturing, assembling and loading conditions of the thin plate tested, whose structural dynamics can be described in broad frequency bands, with no distorting inertia of sensors and no numerical models. The paper derives the mobilities into full-field strain Frequency Response Functions (FRFs), which map, by selecting the proper complex-valued broad frequency band excitation spectrum, the surface strains. From the latter, by means of the constitutive model, dynamic stress distributions are computed, to be exploited in fatigue spectral methods to map the expected life of the component, according to the selected tasks’ spectra and the excitation locations. The results of this experiment-based approach are thoroughly commented in sight of non-destructive-testing, damage and failure prognosis, Structural Health Monitoring, manufacturing and maintenance actions. Full article
(This article belongs to the Special Issue Structural Health Monitoring, Damage Diagnosis, and Damage Prognosis: New Technologies and Applications)
45 pages, 11496 KiB  
Article
Assessment of Seismic Vulnerability for a Hospital Building Using Field Data and Various Numerical Analyses Considering Bidirectional Ground Motion Effects
by Alireza Kharazian, Arianna Guardiola-Villora, Juan José Galiana-Merino, Sergio Molina, Gonzalo Ortuño-Sáez, Juan Luís Soler-Llorens, José Antonio Huesca-Tortosa, Igor Gómez and David Montiel-López
Appl. Sci. 2025, 15(1), 53; https://doi.org/10.3390/app15010053 - 25 Dec 2024
Viewed by 4067
Abstract
For the assessment of seismic effects on RC buildings, the real structural condition has to be modelled as accurately as possible. Medical facilities and hospitals have to resist seismic actions and remain operational after seismic events. For this reason, a detailed seismic vulnerability [...] Read more.
For the assessment of seismic effects on RC buildings, the real structural condition has to be modelled as accurately as possible. Medical facilities and hospitals have to resist seismic actions and remain operational after seismic events. For this reason, a detailed seismic vulnerability assessment of a hospital building located in Orihuela, Spain, is presented in this paper using a combination of field monitoring data and numerical analysis. Ambient noise measurements from field monitoring using Raspberry Shake-based sensors are used to capture dynamic characteristics that describe the building behaviour. Data from these sensors were used to update and refine the finite element model of the structure for a detailed analysis of the building’s seismic performance. The different analytical procedures included both elastic and inelastic modelling, as well as static and dynamic assessments, to provide an exhaustive evaluation of the building’s behaviour under seismic loads. In the numerical model, the effect of masonry infill walls is considered, taking into account detailed material properties and structural configurations. Furthermore, the study carefully selects ground motion records representing two limit states—Damage Limitation (DL) and Severe Damage (SD)—to conduct an extensive seismic analysis. In each limit state applied to the structure, there are 14 bidirectional ground motions with components alternately directed along the two principal directions of the building. This analysis evaluated the structural response, focusing on torsional effects, inter-storey drift ratios, and the seismic performance of individual components. The results were compared to other analysis types, considering both overall and localised behaviour, to determine the reliability of different approaches. The findings support the idea that field monitoring data should be combined with advanced modelling techniques to achieve a more accurate evaluation of the building’s seismic vulnerability, considering bidirectional effects. Full article
(This article belongs to the Special Issue Structural Health Monitoring, Damage Diagnosis, and Damage Prognosis: New Technologies and Applications)
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Review

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30 pages, 4165 KiB  
Review
Fundamental Challenges and Complexities of Damage Identification from Dynamic Response in Plate Structures
by Yousef Lafi A. Alshammari, Feiyang He, Abdullah Ayed Alrwili and Muhammad Khan
Appl. Sci. 2024, 14(18), 8230; https://doi.org/10.3390/app14188230 - 12 Sep 2024
Cited by 1 | Viewed by 1527
Abstract
For many years, structural health monitoring (SHM) has held significant importance across diverse engineering sectors. The main aim of SHM is to assess the health status and understand distinct features of structures by analyzing real-time data from physical measurements. The dynamic response (DR) [...] Read more.
For many years, structural health monitoring (SHM) has held significant importance across diverse engineering sectors. The main aim of SHM is to assess the health status and understand distinct features of structures by analyzing real-time data from physical measurements. The dynamic response (DR) is a significant tool in SHM studies. This response is used primarily to detect variations or damage by examining the vibration signals of DR. Numerous scholarly articles and reviews have discussed the phenomenon and importance of using DR to predict damages in uniform thickness (UT) plate structures. However, previous reviews have predominantly focused on the UT plates, neglecting the equally important varying thickness (VT) plate structures. Given the significance of VT plates, especially for academic researchers, it is essential to compile a comprehensive review that covers the vibration of both the UT and VT cracked plate structures and their identification methods, with a special emphasis on VT plates. VT plates are particularly significant due to their application in critical components of various applications where optimizing the weight, aerodynamics, and dimensions is crucial to meet specific design specifications. Furthermore, this review critically evaluates the damage identification methods, focusing on their accuracy and applicability in real-world applications. This review revealed that current research studies are inadequate in describing crack path identification; they have primarily focused on predicting the quantification of cracks in terms of size or possible location. Identifying the crack path is crucial to avoid catastrophic failures, especially in scenarios where the crack may propagate in critical dimensions of the plate. Therefore, it can be concluded that an accurate analytical and empirical study of crack path and damage identification in these plates would be a novel and significant contribution to the academic field. Full article
(This article belongs to the Special Issue Structural Health Monitoring, Damage Diagnosis, and Damage Prognosis: New Technologies and Applications)
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