Share
Advances in Materials and Pavement Performance Prediction ii: Contributions to the 2nd International Conference on Advances in Materials and Pavement. 2020), 27-29 May, 2020, san Antonio, tx, usa
K. Anupam, A.t. Papagiannakis, A. Bhasin, D. Little (Author)
·
Crc Press
· Hardcover
Advances in Materials and Pavement Performance Prediction ii: Contributions to the 2nd International Conference on Advances in Materials and Pavement. 2020), 27-29 May, 2020, san Antonio, tx, usa - K. Anupam, A.T. Papagiannakis, A. Bhasin, D. Little
£ 157.50
£ 175.00
You save: £ 17.50
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Tuesday, July 23 and
Thursday, July 25.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Advances in Materials and Pavement Performance Prediction ii: Contributions to the 2nd International Conference on Advances in Materials and Pavement. 2020), 27-29 May, 2020, san Antonio, tx, usa"
Inspired from the legacy of the previous four 3DFEM conferences held in Delft and Athens as well as the successful 2018 AM3P conference held in Doha, the 2020 AM3P conference continues the pavement mechanics theme including pavement models, experimental methods to estimate model parameters, and their implementation in predicting pavement performance. The AM3P conference is organized by the Standing International Advisory Committee (SIAC), at the time of this publication chaired by Professors Tom Scarpas, Eyad Masad, and Amit Bhasin. Advances in Materials and Pavement Performance Prediction II includes over 111 papers presented at the 2020 AM3P Conference. The technical topics covered include: - rigid pavements- pavement geotechnics- statistical and data tools in pavement engineering- pavement structures- asphalt mixtures - asphalt binders The book will be invaluable to academics and engineers involved or interested in pavement engineering, pavement models, experimental methods to estimate model parameters, and their implementation in predicting pavement performance.
