Optical Texture-Based Tools for Monitoring Pavement Surface Wear and Cracks Using Digital Images

2010 ◽  
Vol 2153 (1) ◽  
pp. 130-140 ◽  
Author(s):  
Saumya Amarasiri ◽  
Manjriker Gunaratne ◽  
Sudeep Sarkar ◽  
Abdenour Nazef
Keyword(s):  
Digital Images ◽  
Surface Wear ◽  
Optical Texture ◽  
Pavement Surface

Discrete element analysis of friction performance for tire-road interaction

2020 ◽  
Vol 72 (7) ◽  
pp. 977-983
Author(s):  
Jiale Lu ◽  
Baofeng Pan ◽  
Tiankai Che ◽  
Dong Sha
Keyword(s):  
Fractal Dimension ◽  
Friction Coefficient ◽  
Peer Review ◽  
Surface Texture ◽  
Discrete Element ◽  
Surface Wear ◽  
Content Type ◽  
Pavement Surface ◽  
Friction Performance ◽  
Pavement Friction

Purpose This study aims to investigate the influence of surface texture distribution in respect to the procedure of pavement surface wear on friction performance. Design/methodology/approach The Weierstrass–Mandelbrot (W-M) equation is used to appropriate pavement surface profile. Through this approximation, artificial rough profiles by combining fractal parameters and conventional statistical parameters for different macro-texture are created to simulate the procedure of pavement surface wear. Those artificial profiles are then imported into discrete element model to calculate the interaction forces and friction coefficient between rolling tire and road. Furthermore, wavelet theory is used to decompose the profiles into different scales and explore the correlation between the profiles of each scale and pavement friction. Findings The influence of tire vertical displacement (TVD) on friction coefficient is greater than fractal dimension of road surface texture. When TVD decreases, the profiles can provide higher friction, but the rolling stability of tire is poor. The optimal fractal dimension of road surface is about 1.5 when considering friction performance. The pavement friction performance improves with wavelength from 0.4 to 6.4mm and decreases with wavelength from 12.8 to 51.2mm. Originality/value Artificial fractal curves are generated and analyzed by combining W-M function with traditional parameter, which can also be used to analyze the influence of texture distribution on other pavement performance. The preliminary research provides a potential approach for the evaluation of pavement friction performance. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2019-0499/

Use of the Pavement Surface Cracking Metric to Quantify Distresses from Digital Images

2021 ◽  
pp. 036119812110081
Author(s):  
Danilo Balzarini ◽  
James Erskine ◽  
Michael Nieminen
Keyword(s):  
Data Collection ◽  
Digital Images ◽  
Physical Property ◽  
Pavement Distress ◽  
Surface Cracking ◽  
Pavement Surface ◽  
Laser Technologies ◽  
Pavement Distresses ◽  
Repeatability And Reproducibility

The development of new laser technologies in recent years has changed pavement data collection, opening the door to a fully automated approach. In this paper the application of the Pavement Surface Cracking Metric (PSCM), inspired by the Universal Cracking Indicator proposed by William Paterson in 1994, and developed by the ASTM E17 group is presented. The method uses quantitative definitions to ensure consistency of the results and eliminate the subjectivity associated with human ratings of pavement distresses. Multiple runs of pavement data have been collected on three asphalt sections to assess the repeatability and reproducibility of the method. The application of the Pavement Surface Cracking Index to convert the PSCM value, which is a physical property of the pavement, into a 100-0 score of the pavement section is also presented. Finally, the use of the PSCM to classify pavement distress and the inclusion of potholes and patching in the metrics are discussed.

Microscopic versus process parameters in heavy-oil upgrading

1992 ◽  
Vol 50 (1) ◽  
pp. 366-367
Author(s):  
V.A. Munoz ◽  
R.J. Mikula ◽  
C. Payette ◽  
W.W. Lam
Keyword(s):  
Molecular Weight ◽  
Liquid Fuels ◽  
Chemical Components ◽  
Heavy Oils ◽  
Synthetic Fuels ◽  
High Hydrogen ◽  
Optical Texture ◽  
Polar Groups ◽  
Anisotropic Character ◽  
Planar Molecules

The transformation of high molecular weight components present in heavy oils into useable liquid fuels requires their decomposition by means of a variety of processes. The low molecular weight species produced recombine under controlled conditions to generate synthetic fuels. However, an important fraction undergo further recombination into higher molecular weight components, leading to the formation of coke. The optical texture of the coke can be related to its originating components. Those with high sulfur and oxygen content tend to produce cokes with small optical texture or fine mosaic, whereas compounds with relatively high hydrogen content are likely to produce large optical texture or domains. In addition, the structure of the parent chemical components, planar or nonplanar, determines the isotropic or anisotropic character of the coke. Planar molecules have a tendency to align in an approximately parallel arrangement to initiate the formation of the nematic mesophase leading to the formation of anisotropic coke. Nonplanar highly alkylated compounds and/or those rich in polar groups form isotropic coke. The aliphatic branches produce steric hindrance to alignment, whereas the polar groups participate in cross-linking reactions.

Reduction in size of digital images: does it lead to less detectability or loss of diagnostic information?

1998 ◽  
Vol 27 (2) ◽  
pp. 93-96 ◽  
Author(s):  
C H Versteeg ◽  
G C H Sanderink ◽  
S R Lobach ◽  
P F van der Stelt
Keyword(s):  
Digital Images ◽  
Diagnostic Information

Development of a system for craniofacial analysis from monitor-displayed digital images

1999 ◽  
Vol 28 (2) ◽  
pp. 123-126 ◽  
Author(s):  
E Gotfredsen ◽  
J Kragskov ◽  
A Wenzel
Keyword(s):  
Digital Images

Authentication of Digital Image using Exif Metadata and Decoding Properties

2018 ◽  
pp. 335-341 ◽  
Author(s):  
D. P. Gangwar ◽  
Anju Pathania
Keyword(s):  
Digital Image ◽  
Digital Images ◽  
Software Tools ◽  
Robust Analysis

This work presents a robust analysis of digital images to detect the modifications/ morphing/ editing signs by using the image’s exif metadata, thumbnail, camera traces, image markers, Huffman codec and Markers, Compression signatures etc. properties. The details of the whole methodology and findings are described in the present work. The main advantage of the methodology is that the whole analysis has been done by using software/tools which are easily available in open sources.

I Think We’re Alone Now

2020 ◽  
Vol 6 (4) ◽  
pp. 183-210
Author(s):  
Erin Nunoda
Keyword(s):  
Public Sphere ◽  
Digital Images ◽  
Empty Space ◽  
The Public ◽  
Youtube Videos ◽  
The Public Sphere

This article examines YouTube videos (primarily distributed by a user named Cecil Robert) that document so-called dead malls: unpopulated, unproductive, but not necessarily demolished consumerist sites that have proliferated in the wake of the 2008 recession. These works link digital images of mall interiors with pop-song remixes so as to re-create the experience of hearing a track while standing within the empty space; manipulating the songs’ audio frequencies heightens echo effects and fosters an impression of ghostly dislocation. This article argues that these videos locate a potentiality in abandoned mall spaces for the exploration of queer (non)relations. It suggests that the videos’ emphasis on lonely, unconsummated intimacies questions circuitous visions of the public sphere, participatory dynamics online, and the presumably conservative biopolitics (both at its height and in its memorialization) of mall architecture.

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