OasisLMS

State-of-the art machine learning applications in modeling cement and concrete properties will be explored in this session. Industry professionals, and researchers will demonstrate AI`s game-changing role in concrete science. Attendees will gain insight into AI applications in 3D concrete printing, concrete mixture optimization, crack detection and understanding composition-property linkages. Industry professionals, civil engineers, material scientists and researchers should attend. Potential outcomes for attendees include learning how various ML techniques can be implemented towards efficient concrete design.

1. Evaluate the transformative impact of generative AI on concrete material science
2. Analyze machine learning's capability in linking cement composition to properties
3. Review predictive analytics in optimizing the mechanical properties of alternative binders
4. Assess active learning's role in real-time concrete mix design refinement.

Study the materials included in this module. Then, complete and pass the corresponding 10-question quiz with a score of 80% or higher to receive a certificate for 0.1 CEU (1.0 PDH).
Continuing Education Credit: 0.1 CEU (1.0 PDH)
Approved by AIA (LU) and ICC
Access Period: 30 days