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Digital Library

of the European Council for Modelling and Simulation

 

Title:

The Road Map To Apply Evolutionary Intelligence To Asphalt Pavement Modelling

Authors:

Reus Salini, José Neves, António Abelha

Published in:

 

ECMS 2008 Proceedings

Edited by: Loucas S. Louca, Yiorgos Chrysanthou, Zuzana Oplatkova, Khalid Al-Begain

 

ISBN: 978-0-9553018-6-5

Doi: 10.7148/2008

 

22nd European Conference on Modelling and Simulation,

Nicosia, June 3-6, 2008

 

Citation format:

Salini, R., & Neves, J. (2008). The Road Map To Apply Evolutionary Intelligence To Asphalt Pavement Modelling. ECMS 2008 Proceedings edited by: L. S. Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain (pp. 573-579). European Council for Modeling and Simulation. doi:10.7148/2008-0573

DOI:

http://dx.doi.org/10.7148/2008-0573

Abstract:

Modelling the service life for asphalt pavements is widely made with base on empirical methods, developed half-century ago, with poor results. The new reality of the XXI century, with high construction costs, environmental restrictions and growing volumes of vehicles in the highways, enforce the shift to a new level of quality and accuracy to predict the service life of the pavements. This paper presents some insights either theoretical or experimental into a making from the ground, of an approach to predict and model the asphalt pavement behaviour using soft computing tools and, at the same time, create a way to accumulate the knowledge in this engineering field. The knowledge about the asphalt pavement life cycle is organized in a hierarchical way in order to be reused in a formal way, leading to an evolutionary process of adaptation and construction (Neves et al. 2007).

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