Asphalt Pavement Statistical Temperature Prediction Models Developed from Measured Data in China

2008 ◽  
Author(s):  
Lu Jia ◽  
Lijun Sun ◽  
Yonghua Yu
Keyword(s):  
Prediction Models ◽  
Asphalt Pavement ◽  
Measured Data ◽  
Temperature Prediction

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.

Study on Temperature Distribution Characteristic of Asphalt Mixtures of Bridge Deck

2010 ◽  
Vol 163-167 ◽  
pp. 1829-1832
Author(s):  
Qing Long You ◽  
Nan Xiang Zheng ◽  
Gang Lei Shi
Keyword(s):  
Temperature Distribution ◽  
Temperature Profile ◽  
Bridge Deck ◽  
Prediction Models ◽  
Asphalt Pavement ◽  
Highway Bridges ◽  
Temperature Prediction ◽  
Road Pavement ◽  
Load Carrying ◽  
The Difference

Flexible pavements comprise a majority part of highways in china. Many highway bridges are constructed in these highways. These primary highway bridges are subjected to the same heavy loading as the conventional asphalt pavement, but caused much more significant damage than the conventional asphalt pavement. As hot-mix asphalt (HMA) is a visco-elastic material and the all around environment is different between road pavement and bridge deck, the structural or load-carrying capacity of road pavement and bridge deck is different. Thus, to accurately determine in situ strength characteristics of flexible pavement, it is necessary to predict the temperature distribution within the HMA layers and find the difference between road pavement and bridge deck. The majority of previously published research concentrated on pavement temperature prediction. To confirm the bridge deck temperature profile, observing the temperature at bridge deck and road pavement for two months. Compared with the temperature profile of bridge deck and road pavement, find the difference between them. Then some daily temperature prediction models are analyzed and develop a modified double-sine model to simulate the surface temperature variation of bridge deck.

Comparison Of Rectal Temperature Prediction Models Utilizing Machine Learning

2017 ◽  
Vol 49 (5S) ◽  
pp. 454
Author(s):  
Luke N. Belval ◽  
Yuri Hosokawa ◽  
Lesley W. Vandermark ◽  
Rebecca L. Stearns ◽  
Lawrence E. Armstrong ◽  
...  
Keyword(s):  
Machine Learning ◽  
Rectal Temperature ◽  
Prediction Models ◽  
Temperature Prediction

Prediction models of bit errors for NAND flash memory using 200 days of measured data

2019 ◽  
Vol 90 (6) ◽  
pp. 064702 ◽  
Author(s):  
Debao Wei ◽  
Liyan Qiao ◽  
Xiaoyu Chen ◽  
Hua Feng ◽  
Xiyuan Peng
Keyword(s):  
Flash Memory ◽  
Prediction Models ◽  
Measured Data ◽  
Nand Flash ◽  
Nand Flash Memory

Evaluation of six sky luminance prediction models using measured data from Singapore

1999 ◽  
Vol 31 (1) ◽  
pp. 13-17 ◽  
Author(s):  
K.P. Lam ◽  
A. Mahdavi ◽  
M.B. Ullah ◽  
E. Ng ◽  
V. Pal
Keyword(s):  
Prediction Models ◽  
Measured Data

Calcool: A multi-layer Asphalt Pavement Cooling Tool for Temperature Prediction During Construction

2001 ◽  
Vol 2 (3) ◽  
pp. 169-185 ◽  
Author(s):  
David H. Timm ◽  
Vaughan R. Voller ◽  
Eul-bum Lee ◽  
John Harvey
Keyword(s):  
Asphalt Pavement ◽  
Temperature Prediction

scholarly journals Bonded Concrete Overlays: A Brief Discussion on Restrained Shrinkage Deformations and Their Prediction Models

2019 ◽  
Vol 61 (2) ◽  
pp. 107-129
Author(s):  
Wojciech Cyron ◽  
Martin Nilsson ◽  
Mats Emborg ◽  
Ulf Ohlsson
Keyword(s):  
Prediction Models ◽  
Asphalt Pavement ◽  
Theoretical Explanation ◽  
Empirical Equations ◽  
Restrained Shrinkage ◽  
Micro Scale ◽  
Concrete Overlays ◽  
The Past ◽  
Scale Models ◽  
Thermal Dilation

Abstract Bonded concrete overlays (BCO) on bridge decks are beneficial solutions due to their superior properties as compared to the typical asphalt pavement. A significant number of overlays suffer however, from occurrence of cracks and delamination due to poor bond, and restrained shrinkage and thermal dilation. Over the past years different appraisals for estimation of the restrained deformations have been developed, from micro-scale models, based on poromechanics, to empirical equations as given in B3 or B4 models suggested by Bažant. This paper provides a short overview of calculation models along with a brief theoretical explanation of shrinkage mechanism.

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