Identification and detection of a void under highway cement concrete pavement slabs based on finite element analysis

Zhang, Tao; Ren, Yongming

doi:10.17794/rgn.2019.3.5

Cited by 5 publications

(5 citation statements)

References 8 publications

(8 reference statements)

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“…Good resistance to wear, frost, fire, and explosion is necessary for cement base material used for the pavement of roads, highways, airport runways and other projects [1][2][3][4][5][6], however, under high temperature, road cement base material is prone to temperature stress [7][8][9][10][11], for mortar, concrete, grout, and other building materials that take cement as the cementing material, their thermal expansion coefficients are different, as the temperature changes, the different deformations would result in temperature stress inside the structure of road cement base, and when the stress concentration reaches a certain value, the structure of road cement base will crack, which is detrimental to the construction quality of road structure [12][13][14][15][16][17][18][19]. Moreover, under high temperature, the physical and chemical properties of road cement base will undergo changes, such as mass reduction, formation of holes and cracks, and the decline of stress and durability performance [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Thermal Properties and Fire Resistance of Cement Base Material for Road Pavement Based on Finite Element Analysis

Ma¹

2023

IJHT

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The physical and chemical properties of cement base material for road pavement will undergo changes in high temperature environment, so improving the high temperature resistance and fire resistance of cement base material is very important for reducing the loss of road projects caused by high temperature. In actual engineering projects, maintenance measures are often adopted to repair the damaged components so that the roads could be used continuously, however, research on the thermal properties and fire resistance of cement base components of road pavement is insufficient, therefore, in view of this blank, this paper aims to study the thermal properties and fire resistance of road cement base material based on finite element analysis. At first, this paper measured the temperature inside the road cement base during the process of environmental thermal fatigue, analyzed the law of the response of cement base to the temperature changes under the action of relative humidity in the micro environment, and figured out the delay time of such response and the changes of internal temperature gradient. Then, this paper selected proper thermal parameters of road cement material and the stress-strain relationship under compression or tension in high temperature environment, and used the software Python to perform finite element analysis on the fire resistance of road cement base specimens. At last, the corresponding experimental results were given and the validity of the constructed model was verified.

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Section: Introductionmentioning

confidence: 99%

Thermal Properties and Fire Resistance of Cement Base Material for Road Pavement Based on Finite Element Analysis

Ma¹

2023

IJHT

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“…The geometric size of the void area is vital for the bearing capacity of slab. With the increasement of the void area, the void leads to the settlement and misalignment of the cement slab, and eventually causes the slab breaks [1] . Therefore, it is urgent to develop a non-destructive testing (NDT) method to determine the void area and give a maintenance guide before the slab broken.…”

Section: Introductionmentioning

confidence: 99%

Cement pavement void detection algorithm based on GPR signal and continuous wavelet transform method

qiuqin¹,

youxin

tingyi³

et al. 2023

Preprint

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The dimension of the void area in pavement is crucial to its structural safety. However, there is no effective method to measure its geometric parameters. To address this issue, a void size extraction algorithm based on the continuous wavelet transform (CWT) method was proposed using ground-penetrating radar (GPR) signal. Firstly, the Finite-Difference Time-Domain (FDTD) method was used to investigate void areas with different shapes, sizes, and depths. Next, the GPR signal was processed using the CWT method, and a 3D image of the CWT result was used to visualize the void area. Based on the differences between the void and normal pavement in the time and frequency domains, the signal with maximum energy at the CWT time-frequency result was extracted and combined to reconstruct the B-scan image, where void areas have energy concentration phenomenon, which represent the location of the void area. And width and depth of void detection algorithm was proposed to recognize the energy concentration area. Finally, the detection algorithm was verified both in numerical model and physical lab model. The results indicated that the CWT time-frequency energy spectrum can be used to enhance the void feature, and the 3D CWT image can clearly visualize the void area with a highlighted energy area. After fully testing and validating in numerical and lab models, our proposed method achieved high accuracy for void width and depth extraction, providing a precise method for estimating void dimension in pavement. This method can guide DOT departments to carry out pre-maintenance, thereby ensuring pavement safety.

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“…The geometric size of the void area is vital for the bearing capacity of slab. With the size increasement of the void area, the void leads to the settlement and misalignment of the cement slab, and eventually causes the slab breaks 1 . Therefore, it is urgent to develop a non-destructive testing (NDT) method to determine the void area and give an accurate maintenance guide before the slab broken.…”

Section: Introductionmentioning

confidence: 99%

Cement pavement void detection algorithm based on GPR signal and continuous wavelet transform method

Yu,

Li,

Luo

et al. 2023

Sci Rep

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The dimension of the void area in pavement is crucial to its structural safety. However, there is no effective method to measure its geometric parameters. To address this issue, a void size extraction algorithm based on the continuous wavelet transform (CWT) method was proposed using ground-penetrating radar (GPR) signal. Firstly, the finite-difference time-domain (FDTD) method was used to investigate the GPR response of void areas with different shapes, sizes, and depths. Next, the GPR signal was processed using the CWT method, and a 3D image based on the CWT result was used to visualize the void area. Based on the differences between the void and normal pavement in the time and frequency domains, the signal with maximum energy from the CWT time–frequency result was extracted and combined to reconstruct the new B-scan image, where void areas have energy concentration phenomenon. Based on this, width and depth of void detection algorithm was proposed to recognize the void area. Finally, the detection algorithm was verified both in numerical model and physical lab model. The results indicated that the CWT time–frequency energy spectrum can be used to enhance the void feature, and the 3D CWT image can clearly visualize the void area with a highlighted energy area. After fully testing and validating in numerical and lab models, our proposed method achieved high accuracy in void width and depth detection, providing a precise method for estimating void dimension in pavement. This method can guide DOT departments to carry out pre-maintenance, thereby ensuring pavement safety.

show abstract

Identification and detection of a void under highway cement concrete pavement slabs based on finite element analysis

Cited by 5 publications

References 8 publications

Thermal Properties and Fire Resistance of Cement Base Material for Road Pavement Based on Finite Element Analysis

Thermal Properties and Fire Resistance of Cement Base Material for Road Pavement Based on Finite Element Analysis

Cement pavement void detection algorithm based on GPR signal and continuous wavelet transform method

Cement pavement void detection algorithm based on GPR signal and continuous wavelet transform method

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