Research On Skid Resistance Mechanism Of Asphalt Pavement For Steel Bridge Deck Based On Surface Mesoscopic Texture

Because of the special stress states and operating conditions,the skid resistance of steel bridge deck pavement needs more concern.The skid resistance of asphalt concrete pavement is mainly influenced by the surface macro-texture and micro-texture.However,the distribution of multi-scale texture has obvious randomness and complexity due to the influence of material design and construction conditions.Currently,the commonly used texture representation parameters cannot describe the spatial distribution characteristics of multi-scale texture,and the relationship between surface texture distribution and the skid resistance has not been quantified.The driving safety of steel bridge deck pavement is affected by tire-pavement friction characteristics,but the surface texture characteristics need to be involved in tire-pavement interaction mechanism.The skid resistance of steel bridge deck pavement is not accurately estimated in the design stage,leading to adverse impact on the traffic safety.This study is supported by the National Natural Science Foundation of China “Research on mechanism and deteriorating evolution of skid resistance performance of steel bridge deck pavement based on surface texture characteristics”(No.51678146)and the scientific research foundation of graduate school of Southeast University(No.YBJJ1680).The effect of multi-scale texture on the skid resistance mechanism and the skid resistance deteriorating discipline of steel bridge deck pavement was evaluated through the reconstruction of surface texture morphology.On the basis of tire-pavement mesoscopic friction model,an interaction model of tire-fluid-pavement was developed,and the influences of pavement texture characteristics,tire dynamic properties and fluid flow on the skid resistance were revealed.The research method provides a new technique for the driving safety analysis of steel bridge deck pavement,and the research conclusion preliminarily establishes the impact mechanisms of multi-scale texture on the skid resistance mechanism and the skid resistance deteriorating discipline of steel bridge deck pavement,and supports the theoretical foundation to the texture feature requirement,vehicle speed limitation,and the skid resistance maintaining time.Firstly,the inner meso-structure image of asphalt pavement was acquired using slicing-optical scanning method.A texture contour extraction technology was developed based on Canny edge detection algorithm,combined with corrosion expansion algorithm and edge coordinate reading algorithm,which could effectively retain the details of pavement surface texture contour.The Hilbert-Huang transform was used to analyze pavement profiles,and the profile component which is irrelevant to the skid resistance could be eliminated.After that,the morphology representation parameters and distribution representation parameters of multi-scale texture were determined through spectrum analysis.Secondly,a skid resistance orthogonal test of steel bridge deck pavement was conducted to obtain texture characteristic parameter data and skid resistance index data.Through the correlation analysis of texture characteristic parameters and skid resistance,the influence characteristics of macro-texture and micro-texture on the skid resistance were revealed,and the dynamic friction coefficient prediction model based on texture characteristic parameters was established using stepwise regression method.Significant analysis of the influence of design and construction factors on the skid resistance of steel bridge deck was carried out,and some parameters were proposed to describe the key factor affected the skid resistance.On that basis,a skid resistance evaluation model of steel bridge deck was established based on GA-BP neural network,which could achieve the effective evaluation of skid resistance of steel bridge deck pavement during the design stage.The accelerated pavement test was carried out by a third-scale Model Mobile Loading Simulator(MMLS3),to develop the correlation analysis of texture degradation and the skid resistance deterioration,and a skid resistance prediction model of steel bridge deck pavement was established subsequently.Thirdly,with the hyperelastic representation parameters and viscoelastic representation parameters being determined by the uniaxial tensile test and DSR test,a finite element model of patterned radial tire was developed,and the grounding characteristics of tire on the steel bridge deck pavement was simulated.The X-ray CT scanning device and OSTU binarization method were used for image processing of pavement profiles,and the 3D numerical model of steel bridge deck pavement was established by the reverse stereological theory and voxel modeling technique,which could accurately develop the morphology characteristics of pavement profiles.The Klüppel/Heinrich rubber friction theory was introduced to explain the mechanism of tire-pavement hysteresis friction,and the tire-pavement mesoscopic friction model was developed to reveal the effect of rubber sliding velocity,rubber viscoelastic and pavement texture characteristics on the tire-pavement friction.After that,a tire-pavement interaction model was developed,and the model was validated through pressure-sensitive film test.Based on the tire-pavement interaction model,the adhesion coefficient and braking distance of tire under different conditions were simulated for the skid resistance analysis.Finally,a tire-fluid-pavement interaction model was developed based on CEL technique,and the hydroplaning simulations were conducted.The hydroplaning situations under different conditions were analyzed,and the influence of tire operating conditions,water-film thickness,and pavement texture characteristics on the driving safety of wet pavement was established.