Responses of Semi‐Rigid Base Asphalt Pavement with Interlayer Contact Bonding Model

Wang, Xuntao; Ma, Xuanlong

doi:10.1155/2020/8841139

Cited by 12 publications

(16 citation statements)

References 13 publications

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“…For equation (3), when E x � E y � H z � 0, the twodimensional TM wave FDTD equation can be obtained as follows:…”

Section: Fdtd Forward Modeling Eorymentioning

confidence: 99%

“…A semirigid base has a high-capacity strength, good integrity, low cost, local materials, and excellent mechanical and road performance; therefore, these are widely used in road engineering for pavement bases and subbases [1]. Accordingly, more than 90% of the expressways under construction or completed in China are composed of semirigid base asphalt pavement [2,3]. e popularization and application of semirigid bases has played an important role in the construction of expressways and economic development in China.…”

Section: Introductionmentioning

confidence: 99%

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A BP Neural Network Method for Grade Classification of Loose Damage in Semirigid Pavement Bases

Zhang

Liu

Zhong

et al. 2021

Advances in Civil Engineering

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This study aims to address the problem that loose damage of the pavement base course cannot currently be quantitatively identified, and thus the classification and recognition of the extent of looseness mainly rely on empirical judgments. Based on the finite-difference time-domain (FDTD) method, a backpropagation (BP) neural network identification method for loose damage of a semirigid base is presented. The FDTD method is used to simulate a semirigid base road model numerically with different degrees of looseness, and the eigenvalue parameters for recognition of the presence and extent of the looseness of the base layer are obtained. Then, a BP neural network identification method is used to classify and identify the loose damage of the base course. The results show that the classification and recognition of simulated electromagnetic waves have an accuracy of over 90%; the classification and recognition of radar data from an actual project have a recognition accuracy of over 80%. The good agreement between the classification and recognition results for the simulated data and measured data verifies the feasibility of the classification and recognition method, which can provide a new method for the use of ground-penetrating radar to detect loose damage and the extent of looseness in the base.

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“…For equation (3), when E x � E y � H z � 0, the twodimensional TM wave FDTD equation can be obtained as follows:…”

Section: Fdtd Forward Modeling Eorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A BP Neural Network Method for Grade Classification of Loose Damage in Semirigid Pavement Bases

Zhang

Liu

Zhong

et al. 2021

Advances in Civil Engineering

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show abstract

“…In ANSYS simulation, the influence of boundary size had been minimized as much as possible [7]. Therefore, the constructed semi-rigid asphalt base layer pavement model had a size of 10m×xm×10m, (length, height, and width), the pavement model was divided into 7 layers, from top to bottom, they are: top surface layer, middle surface layer, lower surface layer, top base layer, middle base layer, lower base layer, and soil base layer.…”

Section: Structure Of Asphalt Pavementmentioning

confidence: 99%

A New-Type Semi-Rigid Base Layer Structure for Long Service Life Pavement

Tian¹,

Zheng²,

Luo³

et al. 2021

EESRJ

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Targeting at the problem of pavement cracking under long-term load, this study developed a new-type semi-rigid base layer structure based on the CGC (cement stabilized macadam - graded broken stone - cement stabilized macadam) combinations, and used ANSYS to simulate this proposed structure under conditions of different modulus combinations, deflection under different thickness, different vertical strain values on the top surface of roadbed, and different transverse tensile stress values of bottom base layer. The simulation results indicate that, the various mechanical properties of the proposed new structure can well meet the specifications, and the time of crack generation has been slowed down; the use of graded broken stone in the proposed structure has achieved both the purposes of saving construction cost and reducing construction difficulty. By reasonably controlling the CGC structure and modulus, this study has successfully suppressed the generation of reflection cracks, which can provide good theoretical evidence for prolonging the service life of semi-rigid base layer pavement.

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“…Asphalt mixtures are the mainly and commonly paving materials which are used for building the OSD pavement, such as gussasphalt (GA), stone mastic asphalt (SMA), and epoxy asphalt (EA) mixtures 7 – 10 . However, the mechanical behaviors of these asphalt mixtures change much significant with the climate, and also affected by vehicle speed 11 . Therefore, the responses of OSD pavement should be calculated and analyzed under different temperature and loading conditions in order to make a suitable evaluation and obtain a deep understanding of the mechanical properties of OSD pavement.…”

Section: Introductionmentioning

confidence: 99%

“…The good bonding condition between adjacent layers can help the asphalt concrete surface course and the steel deck pavement form an integral structure to resist the external loads, on the contrary, the weak bonding between adjacent layer is disadvantage for steel deck pavement and prone to cause deck pavement diseases. In some of previous researches 4 , 6 , 8 , 13 – 16 , full-bond condition and no-bond condition are two commonly bonding condition between adjacent layers, however, a few researchers hold that the interlayer bonding condition of adjacent layers lies in somewhere between full-bond condition and no-bond condition 5 , 11 , 12 , 17 . In a recent study 18 , the ultra-high performance concrete (UHPC) has been utilized to reinforce the orthotropic steel bridge, which is an innovative cement-based material for enhancing the stiffness of bridge deck and improving the fatigue performance.…”

Section: Introductionmentioning

confidence: 99%

Response analysis of orthotropic steel deck pavement based on interlayer contact bonding condition

Wang

Zhang²,

Sun

2021

Sci Rep

Self Cite

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In this research the interlayer contact condition was considered between the adjacent layers of orthotropic steel deck pavement, and an interface contact bonding model was applied to simulate the interlayer bonding condition and evaluate the response of deck pavement under vehicle loads. An advantage of this model is that it can simulate not only the full-bond condition but also the debonding condition at somewhere between adjacent layers. The responses of the orthotropic steel deck pavement were calculated and analyzed by the model, and it found that this model is reasonable and credible to evaluate the responses of the deck pavement comparing with the previous researches. The full-bond condition was an ideal condition between adjacent layers, which was prone to underestimate the responses and deformation of the deck pavement. Moreover, the position and size of the disengaging area have a notable influence on the tensile strain at the top of SMA layer and the bottom of GA layer, and the tensile strain of them also increase with the increase of the disengaging area. Finally, the responses of the steel deck pavement changed obviously when the vehicle speed increase, so the suitable speed limit may reduce the responses and deformation for prolonging the service life of the orthotropic steel deck pavement.

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Responses of Semi‐Rigid Base Asphalt Pavement with Interlayer Contact Bonding Model

Cited by 12 publications

References 13 publications

A BP Neural Network Method for Grade Classification of Loose Damage in Semirigid Pavement Bases

A BP Neural Network Method for Grade Classification of Loose Damage in Semirigid Pavement Bases

A New-Type Semi-Rigid Base Layer Structure for Long Service Life Pavement

Response analysis of orthotropic steel deck pavement based on interlayer contact bonding condition

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