Ditapis dengan
The Effect of Water on Pavement Response Based on 3D FEM Simulation and Exper…
It has been recognized that asphalt pavement performance will decrease with the presence of water within the pavement structure, while current pavement mechanics analysis has not taken into account the effect of moisture on dynamic response of pavement appropriately. Consequently, a 3D finite element simulation model was performed to study the mechanical response of saturated asphalt pavement b…
Packing Model and Calculation Method of Aggregate in Asphalt Mixture
Packing model of aggregate is a very important issue in gradation design and research on asphalt mixture. The packing characteristics of coarse aggregate and fine aggregate can affect the skeleton and volumetric parameters, such as VMA (Void in Mineral Aggregate), of asphalt mixture respectively. In this study, based on the ideal packing model of aggregate, the 2?D packing model which is a rand…
Prediction on the Permanent Deformation of Wheel Tracking Test through Simple…
The Projects NCHRP9?19 and 9-29 in the USA have researched and developed SPT (Simple Performance Test), which can be used to test asphalt mixture's dynamic modulus, static creep and permanent deformation under repeated loading and analyze the visco?elasticity of asphalt mixture. This article, based on the modified Burgers model and Boltzmann superposition principle, figures out visco?elasticity…
Cost-Effectiveness Evaluation of Pavement Maintenance Treatments by OPTime
The cost-effectiveness of different maintenance treatments including micro surfacing, HMA overlay and mill & fill were evaluated by using OPTime. The treatment effectiveness was calculated as the difference in computed areas associated with the post-treatment performance indicator curve and the do-nothing curve. It was found that mill & fill had the highest unit costs, followed by HMA overlay a…
Development and Application of Water-Saving and Moisture-Retaining Membrane M…
LOKASI: Ruang Koleksi Umum Rak 2
The Surface Subsidence prediction of Shield Construction Based on the Fuzzy N…
There are many factors that influence the surface subsidence caused by shield construction, which make it difficult to predict the subsidence using the mechanical models. The fuzzy neural network proves to be good at dealing with nonlinear and fuzzy problems and can well establish the nonlinear relationship between influence factors and surface subsidence. In order to improve predicting the tun…
