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Advances in Materials and Pavement Prediction
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Advances in Materials and Pavement Prediction : Papers from the International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2018), April 16-18, 2018, Doha, Qatar

Book Details

Format Hardback or Cased Book
ISBN-10 1138313092
ISBN-13 9781138313095
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Jul 11th, 2018
Print length 596 Pages
Weight 1,160 grams
Dimensions 18.30 x 25.50 x 4.10 cms
Product Classification: Civil engineering, surveying & building
Ksh 36,000.00
Werezi Extended Catalogue 0 in stock

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AM3P reflects on the increasing international emphasis on the design and construction of sustainable pavement systems development highlighting various approaches to predict pavement performance.

Advances in Materials and Pavement Performance Prediction

contains the papers presented at the International Conference on Advances in Materials and Pavement Performance Prediction (AM3P, Doha, Qatar, 16- 18 April 2018).

There has been an increasing emphasis internationally in the design and construction of sustainable pavement systems. Advances in Materials and Pavement Prediction reflects this development highlighting various approaches to predict pavement performance. The contributions discuss links and interactions between material characterization methods, empirical predictions, mechanistic modeling, and statistically-sound calibration and validation methods. There is also emphasis on comparisons between modeling results and observed performance. The topics of the book include (but are not limited to):

• Experimental laboratory material characterization
• Field measurements and in situ material characterization
• Constitutive modeling and simulation
• Innovative pavement materials and interface systems
• Non-destructive measurement techniques
• Surface characterization, tire-surface interaction, pavement noise
• Pavement rehabilitation
• Case studies

Advances in Materials and Pavement Performance Prediction

will be of interest to academics and engineers involved in pavement engineering.


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