Advanced Methodologies and Technologies in Structural Modelling, Identification and Monitoring of Existing Structures—2nd Edition

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".

Deadline for manuscript submissions: 17 December 2024 | Viewed by 1083

Special Issue Editors


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Guest Editor
Department of Structural and Geotechnical Engineering, University “La Sapienza”, Via Eudossiana 18, 00184 Rome, Italy
Interests: thin-walled beams; structural stability; dynamic identification; structural monitoring; damage detection; perturbative approaches; optimal sensor placement; civil engineering
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy
Interests: finite element analysis; computational mechanics; structural analysis; nonlinear modelling; thin-walled beams; masonry structures; monitoring systems

Special Issue Information

Dear Colleagues, 

It is a pleasure to announce the 2nd edition of this Special Issue “Advanced Methodologies and Technologies in Structural Modelling, Identification and Monitoring of Existing Structures”. Both methodologies and technological advancements are welcome, as well as specific laboratory or in situ experimental studies or validations. The contributions can focus on the scale of material or structural modelling. 

The topics of applications will include (but are not limited to): 

  • Damage Detection;
  • Modelling of Damages, Fractures, Defects and Cracks;
  • Dynamic Identification;
  • Inverse Problems in Structural Engineering;
  • Structural Modelling and Model Updating;
  • Machine learning in SHM;
  • Sensor Network, Optimal Sensor Placement and Instrumentation Design;
  • Sensor Technologies;
  • Remote Monitoring.

Dr. Egidio Lofrano
Dr. Paolo Di Re
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. Buildings is an international peer-reviewed open access monthly 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 2600 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

  • structural health monitoring
  • dynamic identification
  • damage detection
  • inverse problem
  • machine learning in SHM
  • sensor network
  • optimal sensor placement
  • sensor technologies
  • remote monitoring
  • model updating

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Published Papers (1 paper)

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Research

19 pages, 9714 KiB  
Article
Characterization of Acoustic Emissions from Concrete Based on Energy Activity Coefficient
by Lei Liu, Yongfeng Xu, Yang Liu, Runqing Wang, Zijie Zhang and Ruiqi Ma
Buildings 2024, 14(7), 2109; https://doi.org/10.3390/buildings14072109 - 9 Jul 2024
Cited by 1 | Viewed by 683
Abstract
Single-stage compression loading experiments were carried out on concrete specimens of various strengths to explore the characteristic parameters of the acoustic emission signal and its damage evolution law in the concrete damage process. These specimens were monitored in real time with acoustic emission [...] Read more.
Single-stage compression loading experiments were carried out on concrete specimens of various strengths to explore the characteristic parameters of the acoustic emission signal and its damage evolution law in the concrete damage process. These specimens were monitored in real time with acoustic emission and DIC instruments during the loading process, and internal pores and slices were scanned with CT scanning instruments after compression. The acoustic emission phenomenon was expressed using the energy activity coefficient, and the law relating to the phenomenon was summarized. The results show that when the peak and mean values in the first adjacent time domain grow rapidly, the specimen produces a large crack and enters the stage of rapid crack development, which can be taken as an indication of the impending damage to the specimen. The energy activity coefficient reflects the damage development intensity as follows: the smaller the energy activity coefficient, the more the cracks developed; the faster the speed, the larger the deformation. With an increase in the load level, the energy activity coefficient gradually tends to stabilize, and the specimen enters the stage of rapid crack development. However, when the energy activity coefficient suddenly increases again, the specimen is destabilized and destroyed. Therefore, the energy activity coefficient responds to the degree of congenital defects in the specimen. As the load increases, the energy activity coefficient is more stable, and the defects are smaller; in contrast, the energy activity coefficient drastically oscillating indicates that the material is very defective. Full article
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