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Comprehensive evaluation of sound absorption performance in porous concrete pavement with crushed stone base course
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  • Published: 11 December 2025

Comprehensive evaluation of sound absorption performance in porous concrete pavement with crushed stone base course

  • Yi Zhang1,2,
  • Hanbing Wang3,
  • Abul Khair4,
  • Jie Yang5,6 &
  • …
  • Yunting Han7 

Scientific Reports , Article number:  (2025) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Engineering
  • Materials science

Abstract

This study comprehensively evaluates the sound absorption performance of porous concrete pavements with crushed stone base layers of varying thicknesses and particle sizes. The noise reduction potential of pavement structures was assessed using the standing wave tube method, and overall sound absorption was quantified via the full-frequency domain average sound absorption coefficient. Results indicate that the presence of a crushed stone base layer substantially enhances sound absorption, with thicker bases providing greater improvements. While particle size and surface layer type also influence absorption, their effects are markedly smaller than that of base course thickness. These findings suggest that optimizing base layer thickness, combined with high-porosity or fine-aggregate surface layers, can effectively improve the acoustic performance of porous concrete pavements, providing practical guidance for noise mitigation in road design.

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Data availability

All data generated or analyzed during this study are included in this published article.

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Acknowledgements

The authors gratefully acknowledge financial support from the Anhui Provincial Housing and Urban-Rural Construction and Technology Program Project (Grant No. 2025-YF102), and the Research Initiation Fund of Fuyang Normal University (Grant No. 2024KYQD0141.)

Funding

This research was funded by the Anhui Provincial Housing and Urban-Rural Construction Science and Technology Program Project (Grant No. 2025-YF102), and the Research Initiation Fund of Fuyang Normal University (Grant No. 2024KYQD0141).

Author information

Authors and Affiliations

  1. School of Business, Fuyang Normal University, Anhui, 236037, China

    Yi Zhang

  2. School of Civil Engineering, Chongqing Jiaotong University, Chongqing, 400074, China

    Yi Zhang

  3. School of Chemistry and Chemical Engineering, Shanghai Jiaotong University, 800 Dongchuan Rd, Shanghai, 200240, China

    Hanbing Wang

  4. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation, Tongji University, Shanghai, 201804, China

    Abul Khair

  5. College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang, 310014, China

    Jie Yang

  6. Composite Materials Research Institute, Zhejiang Huajiang Science and Technology Co., Ltd, Zhejiang, 311106, China

    Jie Yang

  7. Shanghai Research Institute of Building Sciences Co., Ltd, 75 Wanping South Road, Xuhui District, Shanghai, 200032, China

    Yunting Han

Authors
  1. Yi Zhang
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  2. Hanbing Wang
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  3. Abul Khair
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  4. Jie Yang
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  5. Yunting Han
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Contributions

Conceptualization: Yi Zhang, Hanbing Wang, Yunting Han; Data curation: Yi Zhang, Abul Khair, Jie Yang; Formal analysis : Yi Zhang, Jie Yang, Abul Khair; Funding acquisition: Yi Zhang; Investigation: Yi Zhang, Jie Yang, Hanbing Wang; Methodology: Yi Zhang, Jie Yang; Project administration : Yi Zhang, Yunting Han; Supervision: Yi Zhang, Yunting Han; Writing-original draft: Yi Zhang, Abul Khair; Writing-review and editing: Yi Zhang, Hanbing Wang, Yunting Han.

Corresponding authors

Correspondence to Yi Zhang or Yunting Han.

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Competing interests

The authors declare no competing interests.

Declaration of generative AI in scientific writing

The authors declares that no generative AI tools were used in the preparation of this manuscript.

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Cite this article

Zhang, Y., Wang, H., Khair, A. et al. Comprehensive evaluation of sound absorption performance in porous concrete pavement with crushed stone base course. Sci Rep (2025). https://doi.org/10.1038/s41598-025-32128-1

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  • Received: 09 September 2025

  • Accepted: 08 December 2025

  • Published: 11 December 2025

  • DOI: https://doi.org/10.1038/s41598-025-32128-1

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Keywords

  • Porous concrete
  • Crushed stone base
  • Sound absorption property
  • Sound absorption coefficient
  • Dominant frequency
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