Study on paving compactness detection based on frequency domain characteristics of screed device vibration signal

被引：0

作者：

Luo, Qingyun ^{[1
]}

Liu, Honghai ^{[1
]}

Xu, Zhongxin ^{[1
]}

Wu, Ping ^{[2
]}

机构：

[1] Changan Univ, Sch Construct Machinery, Xian 710061, Peoples R China

[2] Inner Mongolia Rd & Bridge Grp Co Ltd, Hohhot 010051, Peoples R China

来源：

CONSTRUCTION AND BUILDING MATERIALS | 2024年 / 432卷

关键词：

Pavement construction; Screed device; Dynamic model; Paving compactness detection; Frequency domain characteristic;

D O I：

10.1016/j.conbuildmat.2024.136652

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Uniform paving compactness reduces the variability of pavement compactness, which improves the pavement durability and service performance. Thus, it is necessary to detect the paving compactness and monitor the construction quality. The dynamical model is established to analyze the influence of hot mix asphalt stiffness on the screed device vibration signal. Based on frequency domain characteristics of screed device vibration signal, Paving Compactness Measurement Value ( PCMV ) is proposed. The PCMV consists of two parts: PCMV1c 1 c and PCMV2c. 2 c . PCMV1c 1 c is the ratio of tamper fundamental component to vibrator fundamental component. PCMV2c 2 c is the ratio of tamper first harmonic component to vibrator fundamental component. The relations between PCMV1c, 1 c , PCMV2c, 2 c , PCMV and paving compactness are studied by field test. Research results show that the spectrum of screed device vibration signal contains vibrator frequency, tamper frequency and its harmonic component. Mean value of linear correlation coefficient R2 2 between PCMV and the paving compactness is 11.58% higher than that of PCMV1c 1 c and 6.76% higher than that of PCMV2c. 2 c . Taking PCMV as indicator, the paving compactness is detected more accurately. Research results can provide a reference for online detection of the paving compactness.

引用

页数：13

共 50 条

[1] Paving density recognition based on the vibration characteristics of a screed device
Luo Q.
Liu H.
Wu P.
Shi Y.
Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (14): : 237 - 244
[2] Screed vibration compaction characteristics and paving density control method
Luo Q.
Wu P.
Liu H.
Jia J.
Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (23): : 167 - 174and191
[3] Weak vibration signal detection based on frequency domain cumulative averaging with DVS system
Chen, Peichao
He, Aohua
Zhang, Ting
Dong, Xiaopeng
OPTICAL FIBER TECHNOLOGY, 2024, 88
[4] Detection of Tropospheric Scatter Array Signal Based On the Truncation of Multipath Fading Time and Frequency Domain Characteristics
Wang, Jing
Wang, Zhuang
Wang, Mengnan
Cheng, Zhu
2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2016, : 1900 - 1905
[5] DEVELOPMENT OF A HIGH EFFICIENCY SCREED FOR CONCRETE COMPACTION BASED ON MATCHING CHARACTERISTICS OF VIBRATION.
Ghosh, R.K.
Seehra, S.S.
Singh, Harjit
Agarwal, O.P.
Highway Research Bulletin (New Delhi), 1982, (19): : 1 - 12
[6] Electrocardiogram frequency characteristics study by processing and analysis of the signal in time domain and spectral domain
Chereshnev, Vitaly O.
Proskurin, Sergey G.
CARDIOMETRY, 2020, (17): : 30 - 33
[7] Micro frequency difference signal identification based on time domain characteristics
Chen, M. (chenmoli160@nuaa.edu.cn), 1600, Science Press (33):
[8] Study of the Gearbox Meshing Coupling Vibration Law Based on Mechanical Signal and Frequency Signal
Zou, Hua
Cui, Bingbing
Wang, Wenjing
Liu, Zhaojin
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2024, 38 (15)
[9] An infrasonic signal detection method based on the time-frequency domain signal energy statistic
Tang, Wei
Liu, Junmin
Wang, Xiaoming
Shi, Jianfang
Wang, Haijun
Shengxue Xuebao/Acta Acustica, 2014, 39 (01): : 85 - 92
[10] Vibration and frequency domain characteristics of high speed EMU
Ren, Zunsong
Liu, Zhiming
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2013, 49 (16): : 1 - 7

← 1 2 3 4 5 →