RedVector RV-10725AW

Superpave Mix Design Process and Analysis

Superpave Mix Design Process and Analysis

2 hrs. Online Course

Level: Intermediate

Item#: RV-10725AW

SME: Kwabena Ofosu Ph.D., P.E., PTOE

This course has been discontinued
 
This course provides Hot Mix Asphalt materials engineers and/or materials technicians a better understanding of the Superpave mix design process and analysis. It will also provide a better understanding of volumetrics for those who perform mix designs (typically technicians) and those who analyze the data (typically engineers).
 
This course will cover volumetric analysis and the use of phase diagrams to calculate relevant volumetric properties of an asphalt concrete mixture. Example problems are presented to highlight the key elements. It also introduces the Superpave Hot Mix Asphalt design testing and analysis. We will cover the design criteria, design testing procedures, and design analysis methods, including calculations to analyze the volumetrics of paving samples. This course is an excellent learning tool to assist in understanding corrective actions for volumetric parameters.
Course Objectives

At the end of this course, you will be able to:

  • Describe the procedures involved in the Superpave mix design
  • Recall how to select the proper materials for a Superpave mix
  • Describe how Superpave mix is compacted
  • Define HMA Volumetric terms
SUBJECT MATTER EXPERT: Kwabena Ofosu Ph.D., P.E., PTOE
Kwabena  Ofosu Ph.D., P.E., PTOE Photo
Kwabena Ofosu currently serves as Community Development Engineer in Titusville, Florida. He is also an Adjunct Professor in the Division of Engineering, Computer Programming and Technology, Valencia College in Orlando, Florida, where he teaches undergraduate courses in Statistics and Probability for Engineers, Engineering Mechanics, and computer applications for engineers. He earned his Bachelor’s degree with Honors in Civil Engineering from the University of Science and Technology, in Ghana. He earned his Master’s degree and PhD, both in Civil Engineering from Florida State University in Tallahassee, Florida. His research areas include bridge engineering, transportation asset management, and artificial intelligence.