吉林大学学报(工学版) ›› 2025, Vol. 55 ›› Issue (9): 3079-3088.doi: 10.13229/j.cnki.jdxbgxb.20250566

• 农业工程·仿生工程 • 上一篇    

高速公路声屏障板仿生结构设计及声学力学性能

于征磊1,2(),张超磊2,陈立新2,胡平3(),徐涛3,郭滨恺2   

  1. 1.吉林大学 汽车仿真与控制国家重点实验室,长春 130022
    2.吉林大学 工程仿生教育部重点实验室,长春 130022
    3.环博经纬新材料科技(威海)有限责任公司,山东 威海 255000
  • 收稿日期:2025-05-04 出版日期:2025-09-01 发布日期:2025-11-14
  • 通讯作者: 胡平 E-mail:zlyu@jlu.edu.cn;641815930@qq.com
  • 作者简介:于征磊(1984-),男,教授,博士.研究方向:仿生结构设计.E-mail:zlyu@jlu.edu.cn
  • 基金资助:
    国家自然科学基金项目(52375289);吉林省教育厅博士研究生科研创新能力提升项目(JJKH20250151BS);吉林大学研究生创新研究计划项目(2025CX186)

Bionic structure design and acoustic and mechanical properties of expressway sound barrier panels

Zheng-lei YU1,2(),Chao-lei ZHANG2,Li-xin CHEN2,Ping HU3(),Tao XU3,Bin-kai GUO2   

  1. 1.State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China
    2.Key Laboratory of Bionic Engineering,Ministry of Education,Jilin University,Changchun 130022,China
    3.Huanbo Jingwei New Material Technology (Weihai) Co. ,Ltd. ,Weihai 255000,China
  • Received:2025-05-04 Online:2025-09-01 Published:2025-11-14
  • Contact: Ping HU E-mail:zlyu@jlu.edu.cn;641815930@qq.com

摘要:

为解决传统声屏障性能不足的问题,以犰狳外壳与蜂窝结构为仿生原型,设计了两种仿生声屏障板。通过仿真模拟对其性能进行研究分析,并结合现场测试进行验证。结果表明,仿生声屏障板的隔声性能较传统钢板大幅提高。其中,仿生犰狳外壳声屏障板的隔声量达37.711 dB,提升了38.1%。此外,本文对仿生声屏障板的凸尖高度与整体厚度进行了参数化设计。现场测试数据显示,仿生声屏障的插入损失为23.3 dB,较传统声屏障提高了50.3%。该设计实现了隔声性能、力学性能与成本的平衡,为高速公路声屏障板提供了一种新的设计思路与研究方法。

关键词: 工程仿生学, 高速公路, 声屏障, 降噪性能, 有限元仿真, 插入损失

Abstract:

To address the inadequate performance of traditional sound barriers, two bionic sound barrier panels were designed based on the armadillo shell and honeycomb structure as prototypes. The performance of these panels was studied and analyzed through simulation and validated by field testing. The results indicate that the sound insulation performance of the bionic sound barrier panels significantly surpasses that of traditional steel panels. Specifically, the sound insulation of the bionic armadillo shell sound barrier panel reaches 37.711 dB, an increase of 38.1%. Furthermore, in this paper a parametric design was conducted on the height of the protrusions and the overall thickness of the bionic sound barrier panels. Field tests date show that the insertion loss of the bionic sound barrier is 23.3 dB, which is an improvement of 50.3% over traditional sound barriers. This design achieves a balance between sound insulation performance, mechanical performance, and cost, providing a new design concept and research method for highway sound barrier panels.

Key words: engineering bionics, expressway, sound barrier, noise reduction performance, finite element simulation, insertion loss

中图分类号: 

  • TB52

图1

仿生声屏障板设计"

图2

仿生声屏障板设计参数(单位:mm)"

图3

仿生声屏障板仿真设计"

图4

高速公路声屏障板测试参考点与接收点位置示意图"

图5

仿生声屏障板胞元及隔声性能对比"

图6

仿生声屏障板隔声声压级对比"

图7

仿生声屏障板参数对比"

表1

声屏障板隔声量"

声屏障板SPTBHS

BAS

-H5-Z50

BAS

-H3-Z50

BAS

-H30-Z50

BAS

-H5-Z40

隔声量/dB27.30337.53537.71134.73937.99136.596

图8

仿生声屏障板结构强度参数对比"

表2

不同厚度面法线挠度及最大应力"

风压/PaZ=50 mm面法线挠度/mmZ=40 mm面法线挠度/mmZ=50 mm最大应力/MPaZ=40 mm最大应力/MPa
P1=5000.289 11.4114.0195.357
P2=7500.4322.3526.01318.210
P3=1 2500.7234.71110.05030.350

图9

仿生声屏障板结构安装示意图"

图10

仿生声屏障板结构工人现场安装"

图11

高速公路声屏障插入损失现场检测声压级"

表3

高速公路声屏障插入损失检测 (dB)"

类型参考点2接收点2参考点1接收点1插入损失
新型高速公路声屏障92.175.692.352.523.3
传统高速公路声屏障92.175.696.564.515.5
[1] 陈亮. 高速公路噪声污染法律责任研究[D]. 兰州: 兰州大学法学院, 2018.
Chen Liang. Research on legal responsibility of highway noise pollution[D]. Lanzhou: Law School, Lanzhou University, 2018.
[2] 路晓东. 城市规划层面的道路交通噪声控制研究[D]. 大连: 大连理工大学土木工程学院, 2013.
Lu Xiao-dong. Study on road traffie noise control from the angle of urban planning[D]. Dalian: College of Civil Engineering, Dalian University of Technology, 2013.
[3] 张子健. 高速公路声屏障顶端加强降噪结构设计及降噪性能分析[D]. 北京: 北京交通大学交通运输学院, 2024.
Zhang Zi-jian. Design and performance analysis of noise reduction structures at the top of highway noise barriers[D]. Beijing: College of Transportation, Beijing Jiaotong University, 2024.
[4] 熊积斌. 浅谈噪声污染的现状、危害及其治理[J]. 资源节约与环保, 2018(6): 139.
Xiong Ji-bin. A brief discussion on the current situation, hazards and control of noise pollution[J]. Resources Economization & Environmental Protection, 2018(6): 139.
[5] 党广彬. 山东省高速公路现状交通噪声特性分析[J]. 山东交通科技, 2019(1): 86-89, 94.
Dang Guang-bin. Analysis of the current highwaytraffic noise characteristics in Shandong province[J]. Shandong Transportation Science and Technology, 2019(1): 86-89, 94.
[6] 王立璇. 高速公路噪声污染及治理对策[J]. 生物化工, 2022, 8(2): 105-109.
Wang Li-xuan. Analysis of highway noise pollution and treatment countermeasures[J]. Biological Chemical Engineering, 2022, 8(2): 105-109.
[7] 林向楠, 乔小龙, 王琳. 京津冀地区高速公路车辆噪声分析与声屏障设计研究[J]. 交通世界, 2024, (7): 7-9.
Lin Xiang-nan, Qiao Xiao-long, Wang Ling. Research on vehicle noise analysis and sound barrier design of expressways in the Beijing-Tianjin-Hebei region[J]. Transpo World, 2024(7): 7-9.
[8] Qian D W, Yang X W, Zhang Z, et al. Analysis of the noise reduction of low-height porous absorptive barrier in urban rail transit[C]∥Second International Conference on Rail Transportation. Reston, VA: American Society of Civil Engineers, 2021: 495-502.
[9] Astrauskas T, Baltrėnas P, Januševičius T, et al. Louvred noise barrier for traffic noise reduction[J]. 2021,16(1): No.18641.
[10] 陈立庚.废旧轮胎橡胶颗粒/水泥复合声屏障研究[D].哈尔滨: 哈尔滨工业大学建筑与设计学院, 2019.
Chen Li-geng. Study on the noise barrier manufactured by the waste-tyre crumb rubber and cement composites[D]. Harbin: School of Architecture and Design, Harbin Institute of Technology, 2019.
[11] 廖陈畅. 发泡混凝土声屏障声学与力学性能试验研究[D].南京: 东南大学土木工程学院,2022.
Liao Chen-chang. Study on acoustic and mechanical properties of foamed concrete sound barrier[D]. Nanjing: School of Civil Engineering, Southeast University, 2022.
[12] Thakre C, Bisarya A, Laxmi V, et al. An innovative design and development of noise barrier with newly composite mix of acoustic panel[J]. Journal of Environmental Management, 2024, 361: No.121276.
[13] Yang C C, Lin D K, Xiao X W, et al. A compact honeycomb-based ventilated sound barrier with broad bandwidth and a subwavelength thickness[J]. Applied Acoustics, 2024, 226: No.110182.
[14] 张志成. PET发泡材料结构性能关系模型及其夹芯结构的优化设计方法研究[D]. 北京: 北京化工大学机电工程学院, 2024.
Zhang Zhi-cheng. Study on the structure and properties of PET foam and its sandwich[D]. Beijing: College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, 2024.
[15] 张磊, 刘哲, 谭宗尚, 等. 不同高性能工程树脂在玻璃纤维增强热塑性复合材料中的应用研究[J]. 纤维复合材料, 2025, 42(3): 40-45.
Zhang Lei, Liu Zhe, Tan Zong-shang, et al. Application of different high-performance engineering resins in GFRTP[J]. Fiber Composites, 2025, 42(3): 40-45.
[16] 张立华, 韩忠铎, 毕超, 等.碳纤维高速公路仿生声屏障板降噪性能分析[J]. 时代汽车, 2025(9): 181-183.
Zhang Li-hua, Han Zhong-duo, Bi Chao, et al. Analysis of noise reduction performance of carbon fiber highway bionic sound barrier board[J]. Auto Time, 2025(9): 181-183.
[17] Wang Y H, Xu C Y, Wan Y L, et al. A modal approach for the efficient analysis of a bionic multi-layer sound absorption structure[J]. Steel and Compoite. Structures, 2016, 21(2): 249-266.
[18] Wang Y H, Zhang C C, Ren L Q, et al. Acoustic performance analysis of bionic coupling multi-layer structure[J]. Applied Mechanics and Materials, 2014, 461: 22-30.
[19] Ji G S, Cui J, Fang Y, et al. Nano-fibrous composite sound absorbers inspired by owl feather surfaces[J]. Applied Acoustics, 2019, 156: 151-157.
[20] Wang X X, Fu T. Improvement of broadband low-frequency sound insulation of sandwich plates with negative Poisson's ratio butterfly-shaped auxetic cellular[J]. Engineering Analysis with Boundary Elements, 2024, 166: No.105852.
[21] Li X Y, Wang X Y H, Wu Q Q, et al. Design of lightweight multifunctional honeycomb membrane-type acoustic metastructures for sound insulation[J]. Mechanical Systems and Signal Processing, 2025, 227: No.112364.
[22] Zhang X, Wu J W, Mao Q B, et al. Design of a honeycomb-microperforated panel with an adjustable sound absorption frequency[J]. Applied Acoustics, 2020, 164: No.107246.
[23] Xie S C, Yang S C, Yan H Y, et al. Sound absorption performance of a conch-imitating cavity structure[J]. Science Progress, 2022, 105(1): No.35102795.
[24] 周信. 高速铁路声屏障降噪效果预测及新型声屏障设计[D]. 重庆: 西南交通大学机械工程学院, 2013.
Zhou Xin. Noise reduction prediction and design of new type of noise barrier for high-speed train[D]. Chongqing: School of Mechanical Engineering, Southwest Jiaotong University, 2013.
[25] Rhee H, Horstemeyer M F, Ramsay A. A study on the structure and mechanical behavior of the Dasypus novemcinctus shell[J]. Materials Science and Engineering: C, 2011, 31(2): 363-369.
[26] JT∕T 646.2—2016. 公路声屏障 第2部分: 总体技术要求 [S].
[27] JT∕T 646.4—2016. 公路声屏障 第4部分: 声学材料技术要求及检测方法 [S].
[28] JT∕T 646.5—2017. 公路声屏障 第5部分: 降噪效果检测方法 [S].
[29] 李杰,李佳莉,周兴宇,等.拓宽桥梁大跨全封闭声屏障车道噪声仿真分析[J/OL]. [2025-04-15].
[30] 杨帆. 新型嵌板型声屏障在福建省高速公路中的应用与效果评估[J]. 福建交通科技, 2024, 12: 175-179.
Yang Fan. Application and effect evaluation of the new panel-type sound barrier in expressways of Fujian province[J]. Fujian Traffic Science and Technology, 2024, 12: 175-179.
[1] 张航,孙煜,马宝林,牛世豪,王星月,吕能超. 高速公路双车道出口辅助车道长度可靠性设计[J]. 吉林大学学报(工学版), 2025, 55(8): 2611-2618.
[2] 葛洪成,郭忠印,宋灿灿,王世伟. 半地下枢纽互通匝道隧道出口与二次分流点间安全距离[J]. 吉林大学学报(工学版), 2025, 55(7): 2223-2232.
[3] 徐慧智,郝东升,徐小婷,蒋时森. 基于深度学习的高速公路小目标检测算法[J]. 吉林大学学报(工学版), 2025, 55(6): 2003-2014.
[4] 孟祥海,王国锐,张明扬,田毕江. 基于选择集成的山区高速事故预测模型[J]. 吉林大学学报(工学版), 2025, 55(4): 1298-1306.
[5] 齐迎春,张照辉,陈立新,王清扬,郭雪,于征磊,张志辉. 受螳螂虾虾螯启发的仿生螺旋结构力学特性[J]. 吉林大学学报(工学版), 2025, 55(4): 1474-1482.
[6] 熙鹏,丛茜,叶绍波,李红波,张燕青. 真空吸盘的仿生设计与吸附性能分析[J]. 吉林大学学报(工学版), 2025, 55(1): 382-391.
[7] 何永明,权聪,魏堃,冯佳,万亚楠,陈世升. 超高速公路车路协同路侧单元感知融合方法[J]. 吉林大学学报(工学版), 2024, 54(7): 1923-1934.
[8] 赵晓华,刘畅,亓航,欧居尚,姚莹,郭淼,杨海益. 高速公路交通事故影响因素及异质性分析[J]. 吉林大学学报(工学版), 2024, 54(4): 987-995.
[9] 邬岚,赵乐,李根. 基于方差异质性随机参数模型的汇合行为分析[J]. 吉林大学学报(工学版), 2024, 54(4): 883-889.
[10] 杨欣,王阳,宋家锋,朱勇,黄彬兵,许述财. 基于虾螯结构的仿生夹层板设计及数值模拟[J]. 吉林大学学报(工学版), 2024, 54(3): 842-851.
[11] 温惠英,何梓琦,李秋灵,赵胜. 高速公路货车换道冲突预测及其影响因素分析[J]. 吉林大学学报(工学版), 2024, 54(10): 2827-2836.
[12] 于征磊,曹青,张钧栋,沙鹏威,金敬福,魏万祯,梁平,张志辉. 基于增材制造的着陆器仿生缓冲结构的力学特性[J]. 吉林大学学报(工学版), 2024, 54(10): 3077-3084.
[13] 徐进,陈正欢,廖祺硕,郑展骥,张河山. 基于心电数据的高速公路高密度互通立交驾驶负荷[J]. 吉林大学学报(工学版), 2024, 54(10): 2807-2818.
[14] 高海龙,徐一博,刘坤,李春阳,卢晓煜. 基于多源数据融合的高速公路路网短时交通流参数实时预测[J]. 吉林大学学报(工学版), 2024, 54(1): 155-161.
[15] 张健,李青扬,李丹,姜夏,雷艳红,季亚平. 基于深度强化学习的自动驾驶车辆专用道汇入引导[J]. 吉林大学学报(工学版), 2023, 53(9): 2508-2518.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!