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 6448

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

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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 (6 papers)

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Research

30 pages, 13660 KB  
Article
Simulation-Based Multi-Horizon Forecasting of Train-Induced Carbody Acceleration for an Integrated Station–Bridge Building: A Yichang North Railway Station Case Study
by Jianghao Liu, Deliang Zhou, Chenxi Li, Qinjie Zhang, Yarui Xie, Jiashun Tang and Xiangrong Guo
Buildings 2026, 16(16), 3191; https://doi.org/10.3390/buildings16163191 - 11 Aug 2026
Viewed by 298
Abstract
Large integrated station–bridge buildings combine track-bearing members, station floors, transfer structures, columns, and urban-rail facilities within a single coupled structural system. For such buildings, refined train–track–station dynamic simulations can reproduce train-induced vibration, but repeated time-history analysis remains costly when many operating conditions must [...] Read more.
Large integrated station–bridge buildings combine track-bearing members, station floors, transfer structures, columns, and urban-rail facilities within a single coupled structural system. For such buildings, refined train–track–station dynamic simulations can reproduce train-induced vibration, but repeated time-history analysis remains costly when many operating conditions must be screened. This study develops a simulation-based response-database framework for multi-horizon forecasting of front-end carbody vertical acceleration (FCVA), defined here as the vertical acceleration at the front-end floor evaluation point of the leading carbody, in the integrated station–bridge building of Yichang North Railway Station. The project-specific database contains 700 operating cases constructed from 100 Latin-hypercube-sampled combinations of a dimensionless track-spectrum amplitude multiplier (TSA), structural damping ratio (DR), and track-spectrum initial moving position (TSIP), each evaluated at seven train speeds. With a sampling interval of 0.002 s, supervised samples were constructed using a 200-point historical window, and prediction horizons from 20 to 300 steps (0.04–0.60 s) were evaluated under a case-level split. Classical regression, tree ensembles, a multilayer perceptron, recurrent networks, a temporal convolutional network, and a Transformer were compared after automated hyperparameter selection. For the 20-step task, Extra Trees achieved the best performance, with a root mean squared error (RMSE) of 0.00336 m/s2 and R2 = 0.9958. In the independently refitted reference-fixed horizon experiment, Extra Trees retained R2 = 0.9526 at the 300-step horizon, while the temporal convolutional network (TCN) RMSE increased from 0.00394 to 0.01502 m/s2. The results show that the response database preserves exploitable short- to medium-range dynamic continuity, although phase drift and peak-timing uncertainty increase as the forecast horizon becomes longer. Parameter analysis indicates that train speed dominates both response energy and forecast error, whereas TSA mainly affects amplitude-related response metrics. On a common central processing unit (CPU) platform, the saved Extra Trees model processed 10,000 held-out windows in 0.1404±0.0008 s. The proposed method provides a computationally efficient response-screening and post-processing layer for design-stage assessment and operating-scenario comparison within the modeled parameter domain, complementing rather than replacing refined dynamic simulation and field validation. Full article
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17 pages, 6861 KB  
Article
Study on the Dynamic Response of an Integrated Station-Bridge Station Building Jointly Constructed with a Subway
by Jianghao Liu, Yarui Xie, Chenxi Li, Deliang Zhou and Xiangrong Guo
Buildings 2026, 16(12), 2304; https://doi.org/10.3390/buildings16122304 - 8 Jun 2026
Cited by 2 | Viewed by 339
Abstract
With the integrated development of high-speed railways and urban underground rail transit, large high-speed railway station buildings are often seamlessly connected or even co-constructed with subway structures, forming a complex structural system that integrates high-speed rail, subway, and station buildings. To investigate the [...] Read more.
With the integrated development of high-speed railways and urban underground rail transit, large high-speed railway station buildings are often seamlessly connected or even co-constructed with subway structures, forming a complex structural system that integrates high-speed rail, subway, and station buildings. To investigate the dynamic performance of such “ integrated station-bridge” station buildings constructed with subways, this paper takes Yichang North Station as an engineering case study and examines its vertical dynamic characteristics under multi-source train-induced loads. The station adopts a structural configuration where the station tracks are fully integrated with the station building, while the main lines are separated from it. To accurately simulate the entire process of train operation, this study established a refined “train-track-station” spatially coupled dynamics model that incorporates high-speed and subway trains, tracks, and the station structure. Based on this model, various operational scenarios were systematically analyzed, including high-speed trains passing at different speeds, parallel operation of multiple train lines, and combined operation of high-speed and subway trains. The results demonstrate that, when single or multiple high-speed train lines pass through the station at the design entry speed of 80 km/h, the vertical vibration acceleration of the elevated waiting level meets human comfort standards. The train-induced vibration response is transmitted and superimposed along the “column–beam–slab” path, resulting in localized acceleration peaks at the mid-span regions of beams and slabs directly above the tracks. Second, the impact of subway train operation alone on the vibration of the elevated level is significantly weaker than that of high-speed trains. Furthermore, under combined high-speed and subway train operations, the additional vibration contribution from subway trains shows a decreasing trend as the number of simultaneously operating high-speed train lines increases. The findings of this study validate the effectiveness of the structural design of Yichang North Station in terms of train operational safety and passenger waiting comfort. The revealed patterns of multi-source vibration transmission and superposition can provide important theoretical and numerical references for the dynamic optimization design and vibration control of similar integrated transportation hub structures. Full article
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16 pages, 9530 KB  
Article
Noise Propagation and Mitigation in High-Rise Buildings Under Urban Traffic Impact
by Shifeng Wu, Yanling Huang, Qingchun Chen and Guangrui Yang
Buildings 2026, 16(4), 883; https://doi.org/10.3390/buildings16040883 - 23 Feb 2026
Cited by 1 | Viewed by 1420
Abstract
Urban traffic noise poses escalating environmental challenges in rapidly urbanizing regions with high-density buildings, yet systematic investigations into its spatiotemporal characteristics remain relatively scarce. This study addresses this research gap via the synchronized on-site monitoring of traffic noise and traffic flow on a [...] Read more.
Urban traffic noise poses escalating environmental challenges in rapidly urbanizing regions with high-density buildings, yet systematic investigations into its spatiotemporal characteristics remain relatively scarce. This study addresses this research gap via the synchronized on-site monitoring of traffic noise and traffic flow on a representative arterial road in Guangzhou, China. The analysis reveals that nighttime equivalent continuous A-weighted sound levels (LAeq) are 3.0–4.0 dB(A) higher than those during the congested daytime peak, a phenomenon primarily driven by higher vehicle speeds under nighttime free-flow traffic conditions. The spatial analysis uncovers complex three-dimensional noise propagation dynamics specific to urban street canyons. Vertical profiling demonstrates a counterintuitive pattern where noise levels do not attenuate with building height, and upper floors experience marginally higher noise exposure than the ground floor, which is attributed to the canyon effect, where multiple sound wave reflections offset the natural distance attenuation. A validated three-dimensional computational model was further employed to evaluate the efficacy of noise mitigation strategies, showing that an integrated intervention combining porous asphalt pavement and acoustic barriers achieves a maximum noise attenuation of 19.9 dB(A) at ground-level receptors. This significant reduction stems from a synergistic effect: porous asphalt reduces noise at the source on a global scale, while acoustic barriers provide localized shielding for the lower floors of adjacent buildings. This research concludes that effective traffic noise control in high-density urban areas requires three-dimensional, multi-faceted strategies addressing noise source characteristics, transmission pathways, and receptor vulnerabilities. Full article
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20 pages, 11894 KB  
Article
Experimental Investigation of Train-Induced Vibration Transmission to the High-Rise Building During Different Train Operations
by Ziyu Tao, Yinghao Cen, Hao Wu, Qi Li, Yimin Wang, Huihui Lyu, Jianguo Liu and Longbao Shang
Buildings 2025, 15(24), 4524; https://doi.org/10.3390/buildings15244524 - 15 Dec 2025
Cited by 2 | Viewed by 734
Abstract
Due to their proximity to track structures, over-track buildings in depot areas may experience adverse vibrations from train operations, which can negatively impact residential comfort and the performance of precision equipment. As the test line typically involves the highest train speeds within the [...] Read more.
Due to their proximity to track structures, over-track buildings in depot areas may experience adverse vibrations from train operations, which can negatively impact residential comfort and the performance of precision equipment. As the test line typically involves the highest train speeds within the depot and features distinct operating conditions such as constant-speed cruising, accelerating, and braking, this study aims to investigate the influence of different train operation modes on the vibration excitation of over-track high-rise buildings through field measurements at both the central and end sections of the test line. Three operational modes were examined, including cruising, accelerating, and braking. Vibration signals were systematically collected using sensors installed in the free field, on the ground above the building foundation, and at the bases of the shear walls. A time-varying frequency phenomenon was observed at measurement points on the ground above the foundation and at the shear wall bases during train acceleration and braking. Field data indicate that vertical vibrations in the free field at the end section of the test line were significantly greater than those at the middle section, whereas vertical vibrations at the shear wall bases were comparable between the two sections. Notable vibration transmission loss occurs as the vibration propagates into the building structure, with peak values reaching 20 dB at 80 Hz during cruising operations and 35 dB at 125 Hz during acceleration and braking. This study offers valuable insights for assessing train-induced vibration transmission into high-rise over-track buildings. Full article
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19 pages, 18725 KB  
Article
Experimental Study on Vibration and Building Response Induced by Rail Corrugation in Metro Small-Radius Curves
by Ying Chen, Weilin Wu, Zizhen Du, Xiaochun Lao and Long Wang
Buildings 2025, 15(21), 3871; https://doi.org/10.3390/buildings15213871 - 27 Oct 2025
Viewed by 974
Abstract
The vibrations induced by urban rail transit are exerting an increasingly prominent influence on the surrounding buildings and human health. As a prevalent track defect, rail corrugation can exacerbate the vibrations generated during train operation. In this study, on-site measurements were carried out [...] Read more.
The vibrations induced by urban rail transit are exerting an increasingly prominent influence on the surrounding buildings and human health. As a prevalent track defect, rail corrugation can exacerbate the vibrations generated during train operation. In this study, on-site measurements were carried out to investigate the characteristics of rail corrugation in the small-radius curve segments of subways. The differences in rail corrugation with and without vibration mitigation measures were analyzed. Additionally, the vibration responses of adjacent buildings in the steel spring floating slab track segments with rail corrugation were examined. The findings of this study indicate that in the small-radius curve segments of the steel spring floating slab track, there exists a rail corrugation phenomenon with a wavelength of 200 mm. This leads to inadequate vibration attenuation in the 80 Hz frequency band, allowing some vibration energy to still be transmitted to adjacent buildings. Nevertheless, the vibration responses of buildings are predominantly governed by their own structural vibration modes. Full article
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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
Cited by 1 | Viewed by 1769
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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