Performance-Based Paving Concrete Mixture Design and Optimization


  • The International Concrete Abstracts Portal is an ACI led collaboration with leading technical organizations from within the international concrete industry and offers the most comprehensive collection of published concrete abstracts.

International Concrete Abstracts Portal


Title: Performance-Based Paving Concrete Mixture Design and Optimization

Author(s): J.M. Ruiz, R.O. Rasmussen, and M. Simon

Publication: Special Publication

Volume: 228


Appears on pages(s): 971-990

Keywords: durability; gradation; HIPERPAV; mechanistic; mixture design; mixture proportioning; optimization; performance; strength; workability

Date: 6/1/2005

This paper describes an approach used in developing a performance-based mixture design and optimization system for paving concrete. This system is being developed as part of a Federal Highway Administration (FHWA) project entitled “Computer-Based Guidelines for Job-Specific Optimization of Paving Concrete.” In this project, a new method of designing and optimizing concrete mixtures for pavement applications is being developed. The procedure includes two key elements: a knowledge base and mixture optimization routines. The former assists the user in selecting mixture design criteria based on site-specific conditions. It also allows for the user to quickly identify what combinations of concrete-making materials may be a starting-point for their site-specific conditions. The second element allows the user to optimize numerous properties of their concrete mixture including: w/cm ratio, cement content, the use of chemical and mineral admixtures, and gradation of aggregates. The optimization can be based on a variety of targets including cost, strength, workability, durability, and numerous other concrete mixture properties – both fundamental and phenomenological. Overall optimization of the selected targets is achieved using concepts of utility theory. When combined, these methods represent a rational approach to quantifying subjective decision-making criteria that is used in finding the optimum concrete mixture for specific conditions.