نتایج جستجو برای: pavement distress
تعداد نتایج: 62266 فیلتر نتایج به سال:
Ever-increasing traffic loads, in addition to hot climates, have always been a challenge for both road pavement authorities and engineers. Technically, asphalt binder concrete modifiers that generally increase the viscosity provide higher resistance permanent deformation optimal choice. In this paper, layers of motorway constructed 2015 were studied. pavement, plastomeric polymeric compound syn...
This paper presents a road distress detection system involving the phases needed to properly deal with fully automatic road distress assessment. A vehicle equipped with line scan cameras, laser illumination and acquisition HW-SW is used to storage the digital images that will be further processed to identify road cracks. Pre-processing is firstly carried out to both smooth the texture and enhan...
An entire roadway system represents a crucial element in the sustainable urban transportation planning process. Pavement surfaces are at continual risk of accumulating serious deteriorations and defects throughout their service life due to traffic loading environmental impact. Since networks growing rapidly, relying on visual pavement inspection is not always feasible. Therefore, this paper pro...
The concept of rational pavement design for design of bituminous pavement was conceived during the 1960s (Dorman 1962, Monismith et al. 1961). Its upgraded version is known as Mechanistic-Empirical (M-E) pavement design, and is at present popularly being used for design of bituminous pavements in various countries. A number of pavement design guidelines (Austroads 2004, French 1997, IRC:37 2001...
Pavement crack is the main form of early diseases of pavement. The use of digital photography to record pavement images and subsequent crack detection and classification has undergone continuous improvements over the past decade. Digital image processing has been applied to detect the pavement crack for its advantages of large amount of information and auto detection. The application of digital...
This paper proposes the use of neural network(NN-) based pavement structural analysis tools as surrogates for the flexible pavement response analysis in the new mechanistic empirical pavement design guide (MEPDG) developed for the American State Highway and Transportation Officials (AASHTO). Some of the recent successful applications of NN-based structural analysis models for predicting critica...
A critical issue concerning the deterioration of ageing road infrastructure all around the world is the need to rapidly and cost-effectively evaluate the present condition of pavement infrastructure. Non-Destructive Test (NDT) and evaluation methods are well-suited for characterizing materials and determining structural integrity of pavement systems. The Falling Weight Deflectometer (FWD) is a ...
We present a novel deep learning framework named the Iteratively Optimized Patch Label Inference Network (IOPLIN) for automatically detecting various pavement distresses that are not solely limited to specific ones, such as cracks and potholes. IOPLIN can be iteratively trained with only image label via Expectation-Maximization Inspired Distillation (EMIPLD) strategy, accomplish this task well ...
This study aims to improve the accuracy of AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) pavement performance predictions for Iowa pavement systems through local calibration of MEPDG prediction models. A total of 130 representative pavement sites across Iowa were selected. The selected pavement sites represent flexible, rigid, and composite pavement systems throughout Iowa. The req...
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