Evidence map›Paper›PMID 40942512›Full record

ArticleMaterials (Basel, Switzerland)2025

Optimizing Acoustic Performance of Semi-Dense Asphalt Mixtures Through Energy Dissipation Characterization.

Huaqing Lv, Gongfeng Xin, Weiwei Lu, Haihui Duan, Jinping Wang, Yi Yang, Chaoyue Rao, Ruiyao Jiang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huaqing LvSchool of Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Gongfeng XinShandong Key Laboratory of Highway Technology and Safety Assessment, Jinan 250000, China.
Weiwei LuSchool of Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Haihui DuanSchool of Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Jinping WangSchool of Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Yi YangXiandai Investment Co., Ltd., Changsha 410004, China.
Chaoyue RaoSchool of Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Ruiyao JiangSchool of Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China.

Funding

National Natural Science Foundation of China 52078063National Science Fund for Distinguished Young Scholars 52225806Open Research Project of Shandong Key Laboratory of Highway Technology and Safety Assessment SH202301Traffic Transportation Science and Technology Projects in Shandong Province 2023B83
6 · The paper itself

Abstract

Traffic-induced noise pollution is a significant environmental issue, driving the development of advanced noise-reducing pavement materials. Semi-dense graded asphalt mixtures (SDAMs) present a promising compromise, offering enhanced acoustic properties compared to conventional dense-graded asphalt mixtures while maintaining superior durability to porous asphalt mixtures. However, the mechanism underlying the relationship between the energy dissipation characteristics and noise reduction effects of such mixtures remains unclear, which limits further optimization of their noise reduction performance. This study designed and prepared semi-dense graded noise-reducing asphalt mixtures SMA-6 TM, SMA-10 TM, and SMA-13 TM (SMA TM represents noise-reducing SMA mixture) based on traditional dense-graded asphalt mixtures SMA-6, SMA-10, and SMA-13, and conducted tests for water stability, high-temperature performance (60 °C), and low-temperature performance (-10 °C). Subsequently, energy loss parameters such as loss factor and damping ratio were calculated through dynamic modulus tests to characterize their energy dissipation properties. The mechanism linking the energy dissipation characteristics of semi-dense graded asphalt mixtures to noise reduction was investigated. Finally, the noise reduction effect was further verified through a tire free fall test and a close-proximity (CPX) method. The indoor test results indicate that the semi-dense mixtures exhibited a trade-off in performance: their dynamic stability was 11.1-11.3% lower and low-temperature performance decreased by 4.2% (SMA-13 TM) to 14.1% (SMA-6 TM), with moisture stability remaining comparable. Conversely, they demonstrated superior damping, with consistently higher loss factors and damping ratios. All mixtures reached peak damping at 20 °C, and the loss factor showed a strong positive correlation (R

Indexed as

damping ratioenergy dissipationnoise reducing road surfacesemi-dense graded asphalt mixtures

Identifiers

PMID40942512
PMCPMC12429408

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.