Development of a New Revised Version of the Witczak E* Predictive Model for Hot Mix Asphalt Mixtures (With Discussion)

By J. Bari, M. Witczak. 2006

199 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Estimation of the dynamic modulus of asphalt concretes using random forests algorithm (2020, methodology): “The Witczak models for prediction of the dynamic modulus of HMA are among the most commonly used models in the asphalt industry (Andrei et al. 1999, Bari and Witczak 2006) The main basis of these models is applying conventional multivariate regression analysis on the laboratory-measured test data…”
Advanced approaches to hot-mix asphalt dynamic modulus prediction (2008, methodology): “Among these models, the Witczak |E*| model developed by Witczak and his colleges (Witczak and Fonseca 1996; Andrei, et al. 1999; Bari and Witczak 2006) and the Hirsch |E*| model proposed by Christensen et al. (2003) seem to have reasonable capability for predicting |E*| of an asphalt mixture…”
Accuracy of Predictive Models for Dynamic Modulus of Hot-Mix Asphalt (2009, methodology): “Bari’s comprehensive |E*| database containing 7,400 data records used in the development of the Witczak 2006 model (Bari 2005; Bari and Witczak 2006) was also used in developing the ANN-based models.”