Statistical analysis for comparing and predicting rutting resistance of asphalt pavements with rigid and flexible geogrid layers

2021 ◽  
Vol 302 ◽  
pp. 124136
Author(s):  
Adnan Qadir ◽  
Uneb Gazder ◽  
Karam-un-Nisa Choudhary
Keyword(s):  
Statistical Analysis ◽  
Asphalt Pavements ◽  
Rutting Resistance

scholarly journals Improving Rutting Resistance of Pavement Structures Using Geosynthetics: An Overview

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Sina Mirzapour Mounes ◽  
Mohamed Rehan Karim ◽  
Ali Khodaii ◽  
Mohammad Hadi Almasi
Keyword(s):  
Permanent Deformation ◽  
Flexible Pavements ◽  
Asphalt Pavements ◽  
Rutting Resistance ◽  
Traffic Loads ◽  
Synthetic Materials ◽  
Pavement Distresses ◽  
Reinforcing Material ◽  
Pavement Structure ◽  
Pavement Structures

A pavement structure consists of several layers for the primary purpose of transmitting and distributing traffic loads to the subgrade. Rutting is one form of pavement distresses that may influence the performance of road pavements. Geosynthetics is one type of synthetic materials utilized for improving the performance of pavements against rutting. Various studies have been conducted on using different geosynthetic materials in pavement structures by different researchers. One of the practices is a reinforcing material in asphalt pavements. This paper intends to present and discuss the discoveries from some of the studies on utilizing geosynthetics in flexible pavements as reinforcement against permanent deformation (rutting).

scholarly journals Evaluation of Plastic Flow Rutting Resistance of Dense-Graded Asphalt Pavements on Expressways

1999 ◽  
Vol 4 ◽  
pp. 173-178
Author(s):  
Akio IIDA ◽  
Shigeru SHIMENO ◽  
Masahiro KANEDA ◽  
Masakazu SATOU
Keyword(s):  
Plastic Flow ◽  
Asphalt Pavements ◽  
Rutting Resistance

scholarly journals High-Temperature Rutting Resistance of Inverted Asphalt Pavement Structure

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yingjun Jiang ◽  
Yu Zhang ◽  
Changqing Deng ◽  
Yong Yi ◽  
Tian Tian ◽  
...  
Keyword(s):  
High Temperature ◽  
Asphalt Pavement ◽  
Maximum Shear Stress ◽  
Prediction Equation ◽  
Structure Design ◽  
Asphalt Pavements ◽  
Engineering Practice ◽  
Wheel Load ◽  
Rutting Resistance ◽  
Pavement Structure

To improve the high-temperature rutting resistance of asphalt pavements, an inverted asphalt pavement structure (IAPS), 4 cm AC-13 mixture + 8 cm AC-25 mixture + 6 cm AC-20 mixture + 54 cm cement-stabilized macadam, was proposed herein by considering engineering practice, theoretical calculation, and analysis. A rutting prediction equation of asphalt pavements was then proposed via rut-development trends found by laboratory 18 cm thick rutting test. Subsequently, the rutting resistance of the IAPS was evaluated. The results show that, compared with the traditional asphalt pavement structure (TAPS), 4 cm AC-13 mixture + 6 cm AC-20 mixture + 8 cm AC-25 mixture + 54 cm cement-stabilized macadam, the maximum shear stress of the IAPS can be reduced by ∼1.7% along with improvements in rutting resistance by ∼16% and ∼12% under wheel loads of 0.7 and 1.2 MPa, respectively. Wheel-load increase affects the rutting resistance of both structures in a similar manner: when the wheel load increases from 0.7 MPa to 1.2 MPa, the rut depths of both pavement structures increase by at least 63%. The IAPS clearly has better rutting resistance than the TAPS and is thus the better choice for asphalt pavement structure design.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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