Advanced Prediction and Mitigation of Building Vibrations and Noise: Integrating Safety and Sustainability

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

Deadline for manuscript submissions: 31 October 2026 | Viewed by 1073

Special Issue Editors

School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China
Interests: vibration prediction of building structure; vibration and noise evaluation
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Guest Editor
School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China
Interests: train-induced vibration; noise; soil–structure dynamic interaction; over-track building; vibration assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

​​Advanced methodologies for predicting and mitigating vibrations and noise​​ in building structures have become critical to addressing emerging challenges in urban environments. Structural vibrations—induced by traffic, construction operations, and mechanical systems—not only compromise human comfort but also accelerate material fatigue, posing latent threats to structural integrity. Concurrently, conventional noise control strategies often entail energy-intensive countermeasures that conflict with global decarbonization imperatives. Some related research papers have been published in the previous edition of this Special Issue, which can be accessed using the following link:

[https://www.mdpi.com/journal/buildings/special_issues/XOUNZ3G0HJ]

This Special Issue seeks to bridge these domains by integrating ​​safety resilience​​ and ​​sustainable innovation​​ into vibration–noise management frameworks.

​​ The topics of interest include, but are not limited to, the following:

  • ​​Next-generation prediction models​​ leveraging machine learning, wave propagation theory, and uncertainty quantification;
  • ​​Smart mitigation systems​​ incorporating low-carbon damping materials and energy–noise co-optimization;
  • ​​Structural health monitoring (SHM)​​ techniques using vibration signatures for early damage diagnosis;
  • ​​Lifecycle-oriented solutions​​ evaluating the carbon footprints of vibration/noise control measures.

We have a particular interest in publishing interdisciplinary research encouraged​​ from areas of civil engineering, materials science, acoustics, and energy informatics. Submissions should demonstrate rigorous validation through experimental data, numerical simulations, or real-world case studies, with explicit implications for creating safer, quieter, and environmentally conscious built environments.

Dr. Chao Zou
Dr. Ziyu Tao
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 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

  • vibration and noise prediction
  • propagation and mitigation
  • technological advances in testing
  • vibration comfort
  • noise disturbance
  • long-term performance

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Related Special Issue

Published Papers (1 paper)

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Research

23 pages, 7556 KB  
Article
On-Site Monitoring and a Hybrid Prediction Method for Noise Impact on Sensitive Buildings near Urban Rail Transit
by Yanmei Cao, Yefan Geng, Jianguo Chen and Jiangchuan Ni
Buildings 2025, 15(17), 3227; https://doi.org/10.3390/buildings15173227 - 7 Sep 2025
Viewed by 670
Abstract
The environmental noise impact on sensitive buildings and residents, generated by urban rail transit systems, has attracted increasing attention from the public and various levels of management. Owing to the diversity of building types and the complexity of noise propagation paths, the accurate [...] Read more.
The environmental noise impact on sensitive buildings and residents, generated by urban rail transit systems, has attracted increasing attention from the public and various levels of management. Owing to the diversity of building types and the complexity of noise propagation paths, the accurate prediction of noise levels adjacent to structures through traditional experimental or empirical formula-based methods is challenging. In this paper, on-site multi-dimensional noise monitoring of the noise source affecting the sensitive buildings was first carried out, and a hybrid prediction method combining normative formulas, numerical simulations, and experimental research is proposed and validated. This approach effectively addresses the shortcomings of traditional prediction methods in terms of source strength determination, propagation path distribution, and accuracy of results. The results show that, while predicting or assessing the noise impact on sensitive buildings and interior residents, it is important to properly consider the impact of background noise (such as road traffic) as well as vibration radiation noise of bridge structures. The predicted results obtained by using this method closely match the measured results, with errors controlled within 3 dB(A). The noise prediction error in front of buildings is controlled within 2 dB(A), fully meeting the requirements for environmental noise assessment. Full article
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