One-Dimensional Rigid Pavement Temperature Prediction Using Laplace Transformation

2012 ◽  
Vol 138 (9) ◽  
pp. 1171-1177 ◽  
Author(s):  
Dong Wang ◽  
Jeffery R. Roesler
Keyword(s):  
Laplace Transformation ◽  
Temperature Prediction ◽  
Rigid Pavement ◽  
One Dimensional ◽  
Pavement Temperature

Conservative solute transport with periodic velocity and sinusoidal source concentration in semi-infinite porous media: An analytical solution

2014 ◽  
Vol 6 (1) ◽  
pp. 1024-1031
Author(s):  
R R Yadav ◽  
Gulrana Gulrana ◽  
Dilip Kumar Jaiswal
Keyword(s):  
Porous Medium ◽  
Porous Media ◽  
Laplace Transformation ◽  
Seepage Velocity ◽  
Transformation Technique ◽  
Numerical Examples ◽  
One Dimensional ◽  
Porous Domain ◽  
Conservative Solute Transport ◽  
Source Concentration

The present paper has been focused mainly towards understanding of the various parameters affecting the transport of conservative solutes in horizontally semi-infinite porous media. A model is presented for simulating one-dimensional transport of solute considering the porous medium to be homogeneous, isotropic and adsorbing nature under the influence of periodic seepage velocity. Initially the porous domain is not solute free. The solute is initially introduced from a sinusoidal point source. The transport equation is solved analytically by using Laplace Transformation Technique. Alternate as an illustration; solutions for the present problem are illustrated by numerical examples and graphs.

Concrete pavement temperature prediction and case studies with the FHWA HIPERPAV models

2004 ◽  
Vol 26 (5) ◽  
pp. 463-471 ◽  
Author(s):  
A.K. Schindler ◽  
J.M. Ruiz ◽  
R.O. Rasmussen ◽  
G.K. Chang ◽  
L.G. Wathne
Keyword(s):  
Case Studies ◽  
Concrete Pavement ◽  
Temperature Prediction ◽  
Pavement Temperature

Perpetual pavement temperature prediction model

2013 ◽  
Vol 15 (1) ◽  
pp. 55-65 ◽  
Author(s):  
Daba S. Gedafa ◽  
Mustaque Hossain ◽  
Stefan A. Romanoschi
Keyword(s):  
Prediction Model ◽  
Temperature Prediction ◽  
Pavement Temperature ◽  
Perpetual Pavement

scholarly journals THE INFLUENCE OF PAVEMENT–VEHICLE INTERACTION ON HIGHWAY FUEL CONSUMPTION BY FIELD MEASUREMENT

Transport ◽  
2016 ◽  
Vol 31 (2) ◽  
pp. 202-210 ◽  
Author(s):  
Xin Jiao ◽  
Michael Bienvenu
Keyword(s):  
Field Experiments ◽  
Flexible Pavement ◽  
Testing Temperature ◽  
Analysis Of Covariance ◽  
Rigid Pavement ◽  
Fuel Savings ◽  
Pavement Temperature ◽  
Comparison Field ◽  
The Impact ◽  
Good Agreement

Field experiments are performed in which Fuel Consumptions (FCs) are measured by operating passenger car over thirteen one-mile roadway sections at two highway speeds in Florida. The sections are composed of 6 flexible pavement sections and seven rigid pavement sections with varied pavement surface conditions and testing temperature. The first objective is to capture the fuel differences between flexible pavement and rigid pavement considering the effect of pavement roughness and pavement temperature. By ANalysis of COVAriance (ANCOVA), results show less fuel is consumed on rigid pavement opposed to flexible pavement by 2.25% at 93 km/h and 2.22% at 112 km/h. Fuel differences are found statistically significant at 95% Confidence Level (C.L.). Fuel savings on rigid pavement exhibits good agreement with authors’ Phase I direct comparison field study. Furthermore, fuel data from flexible pavement is applied to calibrate the Highway Development and Management IV (HDM-4) FC model in order to detect and quantify the impact of pavement deflection on FC. Calibrated models are evaluated and validated with experiment data. By results, the deflection-indhuced fuel effect is disclosed by the positive deflection adjustment coefficient generated from the calibration. It is also found that an increase of 0.1mm in pavement deflection at 25 °C (pavement temperature) would increase the FC by 1.53% at 93 km/h and 1.46% at 112 km/h. Results demonstrate good agreement with other findings.

scholarly journals Pavement Temperature Prediction Model for Oman Climate Condition

2017 ◽  
Author(s):  
Amani Al-Kalbani ◽  
Siham G. Farag
Keyword(s):  
Air Temperature ◽  
Asphalt Pavement ◽  
Paper Study ◽  
Climate Condition ◽  
Temperature Prediction ◽  
Development Models ◽  
System Temperature ◽  
Standard Models ◽  
Pavement Temperature ◽  
The Relationship

Asphalt pavement is form an integral part of any transportation system. Temperature is the significant factor that effect on the performance and life span of a pavement. This paper study the relationship between the air temperature and asphalt pavement temperature and using Excel in order to predicate surface asphalt pavement model for Muscat climate. The models were compared with the standard models SHRP and LTPP models [3]. The development models resulted the surface pavement temperature was taken more time in heating cycle than air temperature. When compared the air temperature and surface asphalt pavement temperature with the standards models SHRP and LTPP models. There was difference between them due to the standards models was design for low temperature under zero where in Muscat temperature cannot be under zero [2].

Study on Temperature Prediction Model of Asphalt Concrete Pavement

2011 ◽  
Vol 243-249 ◽  
pp. 506-509
Author(s):  
Yuan Xun Zheng ◽  
Ying Chun Cai ◽  
Ya Min Zhang
Keyword(s):  
Asphalt Concrete ◽  
Prediction Models ◽  
Asphalt Pavement ◽  
Temperature Data ◽  
Measured Temperature ◽  
Temperature Prediction ◽  
Distribution Laws ◽  
Pavement Temperature ◽  
Asphalt Concrete Pavement ◽  
Excellent Accuracy

This study presents a kind of new model correlates air and pavement temperatures in bituminous pavement. Based on abundant measured temperature data in Henan Province, China, distribution laws in asphalt conctete pavement temperature is studied detailed and the dependency between air and pavement temperature is discussed by the method of regression analysis and the prediction models of asphalt pavement temperature are established. Comparisons between measured and predicted asphalt pavement temperatures indicate that the models are equipped with comprehensive applicability and excellent accuracy.

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