Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase II | Award Amount: 742.15K | Year: 2014
On todays battlefields, vehicles are at risk of encountering improvised explosive devices (IEDs). Fortunately, not all of these result in complete vehicle loss. Following events at both ends of the severity spectrum, Battle Damage Assessment and Repair (BDAR) and event reconstruction efforts lack the fidelity that predictive simulations have begun to offer. Sending a vehicle back to the depot for overhaul when it could have stayed in operation, wastes precious resources. Conversely, leaving a damaged vehicle in operation without some level of confidence that it can withstand a second blast places a higher risk on the soldier. As such, the Marine Corps needs more reliable and informed methods to gauge post-IED hull damage. Leveraging expertise in ballistic armor damage and structural response, Corvid Technologies proposes the evolution and commercialization of an approach that virtually recreates events in order to fill in the information gaps and answer the what if questions regarding BDAR. In Phase II, Corvid will validate Phase I results on the test range, examine repair techniques, and field test virtual event reconstruction for BDAR applications. Corvid expects to have additional BDAR support services and analysis tools that are TRL 7 or greater by the end of Phase II.
Agency: Department of Defense | Branch: Missile Defense Agency | Program: STTR | Phase: Phase II | Award Amount: 877.97K | Year: 2014
Corvid Technologies is pleased to offer this STTR Phase II proposal in collaboration with The Johns Hopkins University Applied Physics Laboratory (JHU/APL), Spectral Sciences Inc. and Torch Technologies. Capabilities from each collaborator are being combined toward the ability to perform accurate, fast-running electro-optical and infrared (EO/IR) signature predictions. This collaborative effort will focus on the realization of consolidated modeling capabilities and benchmarking against empirical data. When coupled with existing Corvid radar modeling efforts, the resulting capability will provide a unified description across disparate sensor domains including radar and EO/IR. Approved for Public Release 14-MDA-7739 (18 March 14).
Agency: Department of Defense | Branch: Missile Defense Agency | Program: SBIR | Phase: Phase II | Award Amount: 994.12K | Year: 2015
In the proposed effort, Corvid Technologies will continue development of fast-running models for debris aeroheating and ablation, based on high-fidelity computational fluid dynamics and material response methods. The improved models, along with existing fast-running algorithms for post-intercept debris effects, will be incorporated into a software suite tailored for range safety assessments. This suite will offer significant improvements in test planning and design to test and evaluation personnel and at the major missile defense test ranges. Approved for Public Release 15-MDA-8169 (20 March 15)
Agency: Department of Defense | Branch: Missile Defense Agency | Program: SBIR | Phase: Phase II | Award Amount: 973.87K | Year: 2014
During our Phase I SBIR program for topic MDA-073-019, Hypervelocity Intercept Modeling with First-Principle, Physics Based Tools, we showed the utility of First-Principle Codes (FPC), specifically Velodyne, in modeling missile intercept phenomenology. In addition, we identified a path toward the development of an engineering-level code built upon the foundation of FPC results. Here, we propose a path toward realizing expanded capability of the Velodyne Intercept Debris Engagement interpOlator (VIDEO), our engineering-level intercept debris prediction code. We intend to expand the capabilities of this tool, specifically: 1) the application to more massive interceptors, 2) the quantification of uncertainty in the debris model predictions to support Monte-Carlo analyses, and 3) the initial development of a simulation framework for debris-related performance assessments. Approved for Public Release 14-MDA-7739 (18 March 14).
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 146.40K | Year: 2015
ABSTRACT:Abstract: The objective of this effort is developing algorithms using sensor track data to detect, track, and classify TBM targets and predict TBM trajectory during boost phase. These algorithms will support engagement prioritization and optimize intercept probability for an airborne weapon layer of missile defense. Corvid proposes a multi-mode sensor suite of RF and IR sensors on the host airborne platform for an accurate airborne defense capability. Corvids innovation for this topic is the use of high fidelity radar sensor modeling capabilities to develop and test radar algorithms for various components of an airborne missile defense layer. The use of synthetic radar data will allow us to build a robust airborne weapon system against a variety of scenarios and ballistic missile threat classes. In Phase I we will demonstrate the ability to detect, track, and classify the threat, and lay the framework for a full sensor architecture for further refinement in Phase II.BENEFIT:This effort will produce a capability to supply algorithms within an HWIL environment for the Air Force and MDA. Potential customers include primes (Raytheon, LM) and the proposed work is synergetic with work being done at FFRDC laboratories (MIT/LL, JHU/APL) Methodologies developed under this effort have the potential to support the improvement of other sensor networks across MDA including satellites and flare tracking.