Abstract
For a city, the construction of a road is related to the development of economy, and the construction of a road includes maintenance of the road. Cement roads have been popularized in road construction due to their low construction cost and high strength, but at the same time, road problems have arisen. In order to solve and prevent the problem of voids under highway cement concrete pavement slabs, the acoustic vibration method was used for the detection of voids under highway cement concrete pavement slabs. This method was briefly introduced and analysed with finite element analysis. Then, excitation equipment and ABAQUS software were used to perform instance analysis on the section from K08-000 to K09-000 of G325 National Road. The results showed that there were three situations, including a mild void, normal void and serious void. The degree of abrupt change of the peak amplitude of the acoustic vibration characteristic curve increased with an increase in the severity of the void under the highway cement concrete pavement slabs. The void area was obtained through calculation of the sound pressure characteristic curve data based on the finite element model, with an error between 17.0 and 21.9%. However, in road maintenance projects, this error is acceptable. In summary, the acoustic vibration method based on finite element analysis can effectively detect the position of a void under highway cement concrete pavement slabs and estimate the area.
Highlights
Highways made of cement have advantages such as high strength, high bearing capacity and high stability
The most common road hazard is a void under highway cement concrete pavement slabs, which is a void between the layers of the road
This study briefly introduced the acoustic vibration method for the detection of voids in roads and conducted a simple finite element theory analysis
Summary
Highways made of cement have advantages such as high strength, high bearing capacity and high stability. The causes of a void under highway cement concrete pavement slabs (Liu et al, 2014) are divided into external and internal factors. The internal factors include topographical factors and defects of the cement road. The former is an inevitable internal cause. Seraj et al (2016) used smart phones, including global position system (GPS) and inertial sensors with accelerometers and gyroscopes for road surface monitoring. This method used time domain, frequency domain and wavelet transform to perform a wavelet decomposition. The excitation device and ABAQUS software were used to carry out an example analysis on the section from K08000 to K09-000 of the G30 national road
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