Agency: Department of Energy | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 148.91K | Year: 2014
The application of predictive simulations is critical to the effective design and safe operation of complex systems such as aircraft, cars and nuclear reactors. Advances in numerical analysis methods and large-scale parallel computing has provided industry and government the opportunity to apply predictive simulations to address many design challenges. However, the ability to effectively perform these simulations requires they be executed in an automated manner employing methods that can ensure the reliability of the results obtained. To reach the goal of automated massively parallel simulations requires the development of new methods for the fully automatic generation and control of the domain discretizations, the so-called meshes, as needed by the ad- vanced numerical methods. These automated mesh generation and control methods must operate directly on the design geometry and execute in a scalable manner on the massively parallel com- puters performing the simulation. This project will develop components that support the automated parallel execution of complex system simulations that fill the gaps in the currently available capabilities. This project will de- velop and deliver components that provide: Direct access to design geometry to support mesh generation and other simulation needs. Automatic mesh generators that can fully mesh complex systems with specific consideration of the mesh generation requirements of advanced nuclear reactor simulation codes. Anisotropic mesh adaptation procedures to support the optimal control of meshes to ensure simulation reliability with respect to mesh discretization errors. Functional interfaces to support the integration of the geometry and meshing components pro- vided and demonstrations of integration with selected advanced numerical methods codes. Commercial Applications and Other Benefits: The project will provide industry, government labs and universities an effective means to take full advantage of existing parallel simulation software. It is only through the development and introduction of these geometry and meshing technologies that industry can broadly integrate high performance parallel simulations into their design processes. High levels of simulation automa- tion and discretization error control will allow design engineers to take full advantage of reliable simulations in the execution of innovative design processes.
Agency: National Aeronautics and Space Administration | Branch: | Program: STTR | Phase: Phase II | Award Amount: 599.24K | Year: 2011
The ability to quickly and reliably simulate high-speed flows over a wide range of geometrically complex configurations is critical to many of NASA's missions. Advances in CFD methods and parallel computing have provided NASA the core flow solvers to perform these simulations. However, the ease of use of these flow solvers and the reliability of the results obtained are a strong function of the technologies used to discretize the domain. Many applications involve solutions with highly anisotropic features: boundary layers, shear layers, wakes, shocks etc. Efficient resolution of those features motivates matching the mesh resolution/anisotropy to the solution's anisotropy but, in the more challenging applications, the location and strength of those features is difficult to precisely estimate prior to solution. Currently available meshing tools are not capable of producing and controlling the required initial meshes, nor adapting the mesh to match evolving anisotropic features. This project will combine Simmetrix Inc. expertise in the development of meshing components for flow simulations, and Rensselaer's Scientific Computation Research Center expertise in the development of adaptive mesh control technologies, to provide NASA the mesh generation and adaptation technologies needed. New techniques will be developed to create highly anisotropic semi-structured and unstructured meshes suitable for CFD simulations with high Reynolds number flow features (e.g., boundary layers, bow shocks, free shear layers, wakes, contact surfaces). Techniques to adapt these meshes based on mesh correction indicators will be developed to enable fully automated adaptive simulations. All procedures to be developed will work effectively in parallel on large-scale parallel computers and will support a wide range of flow solvers. The overall capabilities will be demonstrated through execution of fully automated parallel adaptive simulations on problems relevant to NASA.
Agency: Department of Defense | Branch: Army | Program: STTR | Phase: Phase I | Award Amount: 149.13K | Year: 2015
This project will develop methods, and their implementation into software components, to support the reliable simulation of multiphase ballistic flows of importance to the design of firearms. Building on the advanced meshing technologies and finite element based multiphase flow technologies the project team has developed to date, this project will address the additional capabilities needed which include: Tracking evolving multiphase flow geometries in parallel. Parallel generation and adaptation of near optimal anisotropic meshes on evolving geometries. Modeling the physics of multiphase ballistic flows using an effective combination of mathematical models and discretization methods. Demonstrate the effectiveness of the methods developed to address multiphase ballistics flows of interest to the Army.
Agency: Department of Energy | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 149.73K | Year: 2011
Researchers at SLAC ACD have developed a new generation of high-order finite element procedures for electromagnetic analysis that cans effectively simulation new accelerator designs. These same analysis procedures are well suited for electromagnetic applications ranging from threat detection, to antenna design, to wireless device design, to the treatment of cancer. Cost effective massively parallel computers, coupled with advanced computational tools, such as those that can be provided by combination of ACE3P and Simmetrix tools, can make virtual prototyping for electromagnetic applications a reality. The objectives of the proposed SBIR are to: (1) Provide the unstructured mesh generation and adaptation tools required to create and control curved meshes of 1 billions of element running on massively parallel computers; (2) Combine these mesh generation and adaptation tools with the SLAC parallel finite element analysis tools and, to be developed, mesh correction indicators to construct automated adaptive electromagnetic simulations that operate effectively on massively parallel computers; and (3) Develop an interactive user environment to support accelerator designers in the definition and execution of accelerator simulations. Commercial Applications and Other Benefits: A summary of the general benefits expected as a result of this project, and continued development, include: (1) Providing the developers of accelerators with a set of easy to use tools capable of providing reliable simulation results; (2) Provide a set of electromagnetic simulation tools that operate on large scale parallel computers including moving toward the next generations of computers pushing to exascale; (3) Speeding the development of new simulation tools within the DOE and other research organizations; and (4) Provide industry with the means to apply new simulation technologies in the design and production of new products for a broad range of industries from aerospace to consumer products.
Agency: Department of Defense | Branch: Air Force | Program: STTR | Phase: Phase I | Award Amount: 149.27K | Year: 2015
ABSTRACT: The overall objective of this project is to develop scalable simulation components that effectively model the meso-scale physics of heterogeneous energetic materials subject to dynamic shock loading including matrix debonding, void collapse, and damage due to crystal to crystal interactions, and bridges the meso-scale to the macro-scale for system scale simulations of the transition to detonation. Specific technical developments required to accomplish this include: Geometry construction and meshing of meso-scale structures with the capability of updating for evolving geometries and mesh adaptivity to handle debonding and fracture. Appropriate models of the physical processes including models of material and interface behavior under shock conditions. Procedures for accurate, efficient, and scalable thermal-mechanical simulations of the meso-scale behavior built on robust finite element software. ; BENEFIT: By developing the simulation tool as a set of functional components that interact through well defined interfaces there will be the opportunity to apply them to a wide range problems characterized by evolving meso-scale structures which is at the core of a wide range of material design problems. In addition a number of the components developed will be applicable to other areas of application in which careful tracking of meso-scale structures are important such as biological systems.