Monitoring, Damage Assessment, and Vibration Control in Buildings Subjected to Dynamic Loads

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

Deadline for manuscript submissions: 25 May 2026 | Viewed by 16

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, PROMEC/PPGEC, Federal University of Rio Grande do Sul, Porto Alegre 90040-060, Brazil
Interests: structural dynamics; vibration control; structural health monitoring (SHM); structural optimization; structural reliability; dynamic loads

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Guest Editor
Department of Civil Engineering, Pontificia Universidad Javeriana, Bogotá 110231, Colombia
Interests: structural health monitoring (SHM); metamateriales

Special Issue Information

Dear Colleagues,

This Special Issue brings together advanced research on the monitoring, damage assessment, and vibration control of buildings exposed to dynamic loads such as wind, operational vibrations, blasts, and seismic events. Ensuring the safety and resilience of structures requires a deep understanding of their dynamic response, as well as innovative strategies for preventing and mitigating damage. Topics of interest include structural health monitoring (SHM), non-destructive evaluation, sensor technologies, and system identification methods aimed at accurately characterizing structural behavior. Contributions addressing damage detection, diagnostics, seismic vulnerability, and the evaluation of building performance under extreme dynamic actions are also encouraged.

This Issue welcomes studies on vibration control techniques and the design of vibration absorption measures to minimize adverse structural effects. Additionally, it covers the development of predictive models for ground vibration, blast-induced motion, and seismic wave propagation, as well as the application of artificial intelligence and machine learning to improve forecasting, diagnostics, test planning, and model validation. Case studies and practical implementations that demonstrate real-world challenges and solutions in the monitoring and protection of buildings are highly encouraged. This Special Issue seeks to promote interdisciplinary advances that lead to safer, smarter, and more resilient built environments.

Prof. Dr. Letícia Fleck Fadel Miguel
Dr. Jesús Daniel Villalba Morales
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 250 words) can be sent to the Editorial Office for assessment.

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 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 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

  • system identification and dynamic modeling
  • structural health monitoring (SHM)
  • damage detection, localization, and quantification
  • vibration control strategies (passive, active, semi-active, hybrid)
  • dynamic excitations: earthquake, wind, blast, operational
  • artificial intelligence and machine learning in structural diagnostics
  • case studies and practical implementations

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Published Papers

This special issue is now open for submission.
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