Estimating unconfined compressive behavior of HMA using soft computing

Volume: 6, Issue: 1
Published: Oct 15, 2020
Abstract
The mechanical properties of materials such as elastic tangential modulus (Et) and unconfined compressive strength (UCS) can be used to predict their performance during service life. This paper utilizes gene expression programming (GEP) as an alternative method to estimate the unconfined uniaxial compression properties of hot mix asphalt. Short-term static compression was used to evaluate modes of failure and stress–strain relationship of...
Paper Details
Title
Estimating unconfined compressive behavior of HMA using soft computing
Published Date
Oct 15, 2020
Volume
6
Issue
1
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