Optimization of Sound Absorption Performance of OGFC Asphalt Mixture Based onAcoustic Parameters

NAVIGATE

Table of Contents

STATISTICS

Viewed240

Downloads238

Optimization of Sound Absorption Performance of OGFC Asphalt Mixture Based onAcoustic Parameters

[HTML] PDF下载 (238)

[1]WU Wenliang,LI Chenyue,DAI Shenglin.Optimization of Sound Absorption Performance of OGFC Asphalt Mixture Based onAcoustic Parameters[J].Journal of Zhengzhou University (Engineering Science),2024,45(06):18-24.[doi:10.13705/j.issn.1671-6833.2024.06.008]

Copy

Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 45 Number of periods: 2024 06 Page number: 18-24 Column: Public date: 2024-09-25

Title:: Optimization of Sound Absorption Performance of OGFC Asphalt Mixture Based onAcoustic Parameters

Author(s):: WU Wenliang; LI Chenyue; DAI Shenglin; School of Civil Engineering and Transportation,South China University of Technology, Guangzhou 510641,China

Keywords:: OGFC asphalt mixture; acoustic parameters; genetic algorithm; standing wave tube model; optimiza; tion of sound absorption performanc

CLC:: U414

DOI:: 10.13705/j.issn.1671-6833.2024.06.008

Abstract:: In the phenomenological model, the sound absorption coefficient of porous materials was used to explaintakes into account the energy dissipation generated by the propagation of sound waves in the void structure. A modelbased on acoustic parameters was constructed to predict the sound absorption coefficient. In order to accurately obtain the five acoustic parameters ( porosity, flow resistance rate, tortuosity factor, viscous/ thermal characteristiclength) of OGFC asphalt mixture to construct the acoustic model, the OGFC asphalt mixture with different porosityand different gradation types was prepared by the combination of measurement and inversion, and the sound absorption coefficient was tested by standing wave tube. The flow resistance measurement equipment suitable for mixturewas developed. Based on the measured porosity, sound absorption coefficient and flow resistance, the inversionprogram was written based on genetic algorithm to invert the tortuosity factor and viscous/ thermal effect characteristic length of OGFC. Secondly, the finite element model of standing wave tube was established to verify the correctness of acoustic parameters. The influence of single factor of acoustic parameters on sound absorption performancewas analyzed. Finally, the sound absorption performance was optimized based on acoustic parameters. The resultsshowed that the higher the porosity of OGFC and the larger the nominal maximum particle size, the larger the average sound absorption coefficient and the peak sound absorption coefficient. The model constructed could better reflect the sound absorption characteristics of the mixture, and the peak sound absorption coefficient and the frequency of occurrence were consistent with the measured values. The increase of porosity, viscous characteristic lengthand thermal effect characteristic length, and the decrease of tortuosity factor would be beneficial to improve thesound absorption performance. The optimization results of the sound absorption performance of the mixture based onthe acoustic parameters showed that the porosity should be controlled at about 22% for the best sound absorptionperformance.

References:: [1] VAITKUS A, ANDRIEJAUSKAS T, VOROBJOVAS V,et al. Asphalt wearing course optimization for road trafficnoise reduction[ J] . Construction and Building Materials,2017, 152: 345-356.
[2] 李晨阳, 刘鹏, 陈宏, 等. 基于驾驶室舱内声学特性的动力吸振器设计研究 [ J] . 郑州大学学报 ( 工学版) , 2021, 42(4) : 47-52.
LI C Y, LIU P, CHEN H, et al. Design and research ofdynamic vibration absorber based on acoustic characteristics of interior sound field in a cab[ J] . Journal of Zhengzhou University ( Engineering Science) , 2021, 42 ( 4) :47-52.
[3] 王涛. 低噪声沥青路面降噪原理及影响因素分析[ J] .山东交通科技, 2016(4) : 113-115, 117.
WANG T. Analysis of noise reduction principles and influence factors of low noise asphalt pavement[ J] . Shangdong Jiaotong Keji, 2016(4) : 113-115, 117.
[4] 何虹霖, 邹晓翎, 叶向前, 等. 低噪声沥青路面降噪机理及研究进展[J]. 中外公路, 2022, 42(1): 55-61.
HE H L, ZOU X L, YE X Q, et al. Noise reductionmechanism and research progress of low-noise asphaltpavement [ J ] . Journal of China & Foreign Highway,2022, 42(1) : 55-61.
[5] LICITRA G, MORO A, TETI L C, et al. Modelling of acoustic ageing of rubberized pavements [ J ] . AppliedAcoustics, 2019, 146: 237-245.
[6] 李金凤, 何兆益, 孔林. 多孔沥青混合料的声学性能评价[ J] . 西南交通大学学报, 2022, 57 ( 1) : 207 -214.
LI J F, HE Z Y, KONG L. Evaluation of acoustic performance of porous asphalt concrete [ J ] . Journal ofSouthwest Jiaotong University, 2022, 57(1) : 207-214.
[7] CHU L, FWA T F. Functional sustainability of single -and double-layer porous asphalt pavements[ J] . Construction and Building Materials, 2019, 197: 436-443.
[8] YANG Y, CHEN Z F. A model for calculating the airflow resistivity of glass fiber felt[ J] . Applied Acoustics,2015, 91: 6-11.
[9] LE L H, ZHANG C, TA D A, et al. Measurement of tortuosity in aluminum foams using airborne ultrasound[ J] .Ultrasonics, 2010, 50(1) : 1-5.
[10] ROCHAT J, DONAVAN P, SEYBERT A, et al. Pavement sound absorption measurements in the US [ EB /OL] . (2012-08-19) [ 2024- 01- 16] . https:∥www. docin. com / p-1483899964. html.
[11] SACHAKAMOL P, DAI L M. Parametric influence onthe sound absorption coefficient of porous asphalt [ C] ∥Proceedings of ASME 2009 International Mechanical Engineering Congress and Exposition. New York: ASME,2010: 19-26.
[12] LUONG J, BUENO M, VÁZQUEZ V F, et al. Ultrathinporous pavement made with high viscosity asphalt rubberbinder: a better acoustic absorption? [ J ] . AppliedAcoustics, 2014, 79: 117-123.
[13] 于长帅, 罗忠, 骆海涛, 等. 多孔吸声材料声学模型及其特征参数测试方法研究进展 [ J ] . 材料导报,2022, 36(4) : 226-236.
YU C S, LUO Z, LUO H T, et al. Research progress onacoustic model of porous sound absorbing materials andmeasurement method of its characteristic parameters[ J] .Materials Reports, 2022, 36(4) : 226-236.
[14] 王营, 赵武, 黄丹. 多孔材料声学模型及其应用[ J] .材料导报, 2015, 29(5) : 145-149.
WANG Y, ZHAO W, HUANG D. The acoustic modelsof porous materials and their applications [ J] . MaterialsReview, 2015, 29(5) : 145-149.
[15] ALLARD J F, CHAMPOUX Y. New empirical equationsfor sound propagation in rigid frame fibrous materials[ J] .The Journal of the Acoustical Society of America, 1992,91(6) : 3346-3353.
[16] 王萍. 稳态流阻率的声学测量方法研究[ D] . 南京:南京大学, 2013.
WANG P. A study on the acoustic measurement methodsof static flow resistivity[D] . Nanjing: Nanjing University,2013.
[17] 张茂清, 李东洋, 胡博, 等. 基于维度扰动的快速非支配排序遗传算法Ⅱ[ J] . 郑州大学学报( 工学版) ,2020, 41(1) : 38-43.
ZHANG M Q, LI D Y, HU B, et al. Non-dominated sorting genetic algorithm Ⅱ based on dimensionality perturbation[ J] . Journal of Zhengzhou University (EngineeringScience) , 2020, 41(1) : 38-43.

Similar References:

Memo

Last Update: 2024-09-29