Numerically Predicting High Explosive Violent Response (HEVR) in Air Force Explosives
Abstract
The extreme conditions experienced by Air Force energetics in operational settings can lead to failed initiation, sub-detonative reactions, and unintended violent response. This effort investigated methods for simulating and predicting this behavior using continuum and mesoscale models and methods for calibrating and validating these models. Artificial intelligence/machine learning methods were leveraged for calibrating highly non-linear models for various aspects of the problem and these were, in turn, generalized into frameworks to be used with future energetic materials. The main result of this research is an understanding of the data and models needed to simulate mechanical initiation in high explosives and a process, or workflow, for calibrating these models.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 04, 2023
- Accession Number
- AD1230630
Entities
People
- Joseph Maestas
Organizations
- Applied Research Associates (United States)