A Review of the Air Force Materials Research and Development Program
A Review of the Air Force Materials Research and Development Program

Author: Air Force Materials Laboratory (U.S.)

Publisher:

Published: 1964

Total Pages: 294

ISBN-13:

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Technical reports published by the Air Force Materials Laboratoy during the period 1 July 1962 - 30 June 1963 are abstracted herein. Reports on reseqrch conducted by the Air Force Materials Laboratory personnel as well as that conducted on contract are included. These reports cover basic and applied research in the materials area being conducted by the Metals and Ceramics Division, Non-metallic Materials Division, Materials Physics Division, Manufacturing Technology Division, and Materials Applications Division of the Air Force Materials Laboratory.

Advances in Materials and Pavement Performance Prediction II
Advances in Materials and Pavement Performance Prediction II

Author: K. Anupam

Publisher: CRC Press

Published: 2020-12-08

Total Pages: 501

ISBN-13: 1000343480

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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.