CORVID TECHNOLOGIES, LLC — Department of Defense SBIR Phase I: N202-144
CORVID TECHNOLOGIES, LLC — SBIR Phase I award from Department of Defense.
- Amount
- $239,996
- Agency
- Department of Defense · Navy
- Program / Phase
- SBIR · Phase I
- Topic
- N202-144
- Solicitation
- 20.2
- NAICS
- —
- Place of performance
- NC
- Period
- 2020-10-13 → 2022-02-10
Description
Corvid Technologies proposes a modeling and simulation approach to survey the principal parameters that lead to the penetration depth instability in the transition region between the rigid body and semi-hydrodynamic regimes. Corvid maintains a large in-house high-performance computing cluster with more than 35,000 CPUs and 3.5 petabytes of onsite storage. This facility enables Corvid analysts to conduct extensive, detailed parametric studies of the type required for studying the long rod penetration instability. Corvid will leverage our powerful computational facilities along with our optimized high-rate numerical solvers to study the dynamics of long rod penetration through a variety of materials. Corvid has 15 years of experience using our in-house multi-numerics solver Velodyne to simulate dynamic problems related to the proposed work, including penetration into armor materials and concrete, soil modeling for underbody blast against ground vehicles, and long rod penetration through complex arrays As part of the proposed work, we will carry out a preliminary study of simulation parameters for long rod penetration and compare the results to experimental results found in the literature to validate the modeling approach to be used to study projectile instability. Using the optimized simulation parameters, Corvid will conduct a large parametric simulation matrix of penetrator characteristics and striking conditions. These simulations will be used to define the conditions that result in projectile instability by exploring parameters such as projectile aspect ratio, nose shape, velocity, target composition, and striking angle to identify trends. Using the results of this modeling effort, regions of the engagement space will be selected for further study in the Phase 2 experimental effort.