Conventional distress detection method which dealing with each image through single algorithm and under single scale with lower efficiency. A robust and high-efficiency model for segmentation and distress statistic of massive pavement images which based on multi-scale space is proposed in this paper. It based on the facts that: (1) the crack pixels in pavement images are darker than their surro...

creep compliance is one of the fundamental tests of mechanistic- empirical flexible pavement design procedure in the aashto 2002 design guide. in this research, a new artificial neural network model for estimating the hma creep compliance with the generalization ability of r=0.949 has been developed successfully using feed forward multi layer perceptron artificial neural networks (anns) with le...

An accurate and regular survey of the road surface distresses is a key factor for pavement rehabilitation design and management, allowing public managers to maximize the value of the continuously limited budgets for road improvements and maintenance. Manual pavement distress surveys are labor-intensive, expensive and unsafe for highly-trafficked highways. Over the years, automated surveys using...

The southwest Kansas region is one of the centers in the United States for the production of processed beef and related industries. Trucks utilized to support these industries cause noteworthy damages to the regional highway pavements. The objective of this research project was to determine the pavement damage cost of a typical highway section in southwest Kansas attributed to the truck traffic...

Pavement crack detection plays an important role in pavement maintaining and management. The threedimensional (3D) pavement crack detection technique based on laser is a recent trend due to its ability of discriminating dark areas, which are not caused by pavement distress such as tire marks, oil spills and shadows. In the field of 3D pavement crack detection, the most important thing is the ac...

The optimization of a pavement management system necessitates the knowledge on the actual values of pavement condition parameters, actual pavement condition improvement as related to the use of various rehabilitation strategies, and scope of pavement deterioration before and after rehabilitation. The data for six pavement condition parameters (bearing capacity, unevenness, rut depth, macro text...

BACKGROUND Human settlements are of increasing interest to ecologists, a fact demonstrated by the recent cluster of book-length treatments of the topic (Forman 2008, McDonnell et al. 2009, Gaston 2010, Niemelä et al. 2011, Wilson 2011, Forman 2014). The natural world as a fascinating feature of towns and cities has a much longer history (e.g. Fitter 1945), and has also played a strong part in l...

Kim, Daehyeon, Shin, Youngjin, and Siddiki, Nayyar. “Geotechnical Design Based on CPT and PMT” Final Report FHWA/IN/JTRP-2009/XX, SPR 3106, Joint Transportation Research Program, Purdue University, September 2008

Pavement breaking generates a high level of ground vibration that is potentially damaging to nearby buildings and infrastructures. In this paper, a numerical model for the estimation of the impact load due the blow of a falling-weight pavement breaker is first developed. The estimated impact load is in good agreement with the experimental result. Next, the fracturing of the concrete road is inv...

This paper describes the use of data mining tools for predicting the non-linear layer moduli of asphalt road pavement structures based on the deflection profiles obtained from non-destructive deflection testing. The deflected shape of the pavement under vehicular loading is predominantly a function of the thickness of the pavement layers, the moduli of individual layers, and the magnitude of th...