Analysis of Skid Resistance and Noise Characteristics for Varieties of Concrete Pavement

Fang, Jinmiao; Tu, Jinsong; Wu, Kunming

doi:10.1155/2020/7427314

Cited by 16 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to its high-strength, durability, and non-combustibility, cement concrete pavement is the most important pavement type for long tunnels (⩾1000 m) [1][2][3][4]. Pavements of highway tunnels in mountainous areas, which are subjected to long and steep longitudinal slopes and temperature differences, are easily worn by tire-pavement contact because of frequent vehicle braking [5][6][7][8][9][10]. Such braking weakens the macrotexture of the road surface and reduces the pavement skid resistance, which threatens driving safety [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Macrotexture deterioration for micromilled tunnel concrete pavement using 3D laser data

Yang

Lü

Jing

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

To ensure driving safety and cost effectively preserve pavements, unlike the traditional grooving, cutting joints, highway tunnels used micromilling resurfacing method to improve the skid resistance of concrete pavement. The Sensor Measured Texture Depth (SMTD) has been established for quantitatively evaluating micromilled surface quality. This paper explores the possibility of using three-dimensional (3D) line laser imaging technology to obtain the "full lane" elevation data of the pavement, then through the calculation of the index SMTD, construct a road surface spatial and temporal deterioration model, and provide quality control covering the whole lane, and identify the problem areas. The results show that the road wear condition gradually worsens with the increase in opening time, after 24 months, the proportion of the good level (> 0.55mm) of the three cells is 70.5%, 75.1%, and 70.2%. Analysis of the test data for three cells revealed that the tunnel pavement shows canalization in wear. The most severely abraded section is offset by 200-300 mm toward the roadway median compared to the theoretical vehicle wheel track zone. Subsequent studies can expand the experimental conditions and consider more influencing factors to study further the texture deterioration of the micromilled pavement.

show abstract

Section: Introductionmentioning

confidence: 99%

Macrotexture deterioration for micromilled tunnel concrete pavement using 3D laser data

Yang

Lü

Jing

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…According to the range of wavelengths, pavement texture can be divided into microtexture, macrotexture, megatexture, and unevenness (ISO13473‐1, 2019). Among them, pavement macrotexture is one of the major factors affecting pavement performance (Fang et al., 2020; Z. Zhang et al., 2020). Previous studies demonstrated that abundant macrotexture could increase noise levels at lower frequencies (S. Dong et al., 2021a; Sandberg, 1987).…”

Section: Introductionmentioning

confidence: 99%

“…According to the range of wavelengths, pavement texture can be divided into microtexture, macrotexture, megatexture, and unevenness (ISO13473-1, 2019). Among them, pavement macrotexture is one of the major factors affecting pavement performance (Fang et al, 2020;Z. Zhang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Asphalt pavement macrotexture reconstruction from monocular image based on deep convolutional neural network

Dong

Han

et al. 2022

Computer aided Civil Eng

View full text Add to dashboard Cite

Pavement macrotexture is one of the major factors affecting pavement functions, and it is meaningful to reconstruct the pavement macrotexture rapidly and accurately for pavement life cycle performance and quality evaluation. To reconstruct pavement macrotexture from monocular image, a novel method was developed based on a deep convolutional neural network (CNN). First, the red-greenblue (RGB) images and depth maps (RGB-D) of pavement texture were acquired by smartphone and laser texture scanner, respectively, from various asphalt mixture slab specimens fabricated in the laboratory, and the pavement texture RGB-D dataset was established from scratch. Then, an encoder-decoder CNN architecture was proposed based on residual network-101, and different training strategies were discussed for model optimization. Finally, the precision of the CNN and the three-dimensional characteristics of the reconstructed macrotexture were analyzed. The results show that the established RGB-D dataset can be used for training directly, and the established CNN architecture is plausible and effective. The mean texture depth and f 8mac of the reconstructed macrotexture both correlate with the benchmarks significantly, and the correlation coefficients are 0.88 and 0.96, respectively. It could be concluded that the proposed CNN can reconstruct the macrotexture from monocular RGB images precisely, and the reconstructed macrotexture could be further used for pavement macrotexture evaluation.

show abstract

“…However, due to the fire protection requirements and construction maintenance considerations in highway tunnels, cement concrete pavement is more suitable than asphalt pavement in this condition. Fang et al [11] found that the noise level of ordinary grooved cement concrete pavement is high, but the cement concrete pavement modified by polymer has a low noise level. Although the above method can achieve the effect of reducing vehicle noise in tunnels, it does not have strong feasibility in existing tunnels, and it has no effect on other noise sources in the tunnel.…”

Section: Introductionmentioning

confidence: 99%

Field Measurements for Traffic Noise Reduction in Highway Tunnels Using Closed-Cell Aluminum Foam Board

Zhang

Gong²,

Wan

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

In order to explore the sound absorption and noise reduction performance of closed-cell aluminum foam in the tunnel, the field test of the sound absorption performance of aluminum foam board was carried out based on the installation of aluminum foam board in the whole line of Haoshanyu Tunnel on Qinglan Expressway. Combined with the existing loudspeaker test and typical tunnel measurements, a new field test method for the noise reduction performance of closed-cell aluminum foam board was proposed for two different working conditions including fixed-point pure tone sound source condition and mobile vehicle sound source condition. The testing results of the new methods were analyzed, and it showed that the closed-cell aluminum foam has good sound absorption property at the frequency spectra between 250 Hz and 1000 Hz, and the farther away from the sound source, the better the sound absorption effect. In the research on the noise reduction effect of actual vehicle, it was found that the insertion loss of the closed-cell foam aluminum board is about 4 dB(A), which indicated that the closed-cell aluminum foam can play a certain noise reduction effect in the tunnel.

show abstract

Analysis of Skid Resistance and Noise Characteristics for Varieties of Concrete Pavement

Cited by 16 publications

References 17 publications

Macrotexture deterioration for micromilled tunnel concrete pavement using 3D laser data

Macrotexture deterioration for micromilled tunnel concrete pavement using 3D laser data

Asphalt pavement macrotexture reconstruction from monocular image based on deep convolutional neural network

Field Measurements for Traffic Noise Reduction in Highway Tunnels Using Closed-Cell Aluminum Foam Board

Contact Info

Product

Resources

About