Home   >   Products

Multiphysics Simulations Supersonic nozzle flow against a flat plate, showing density (grey) and vorticity (colors). Read More >

Rocstar Simulation Cutaway of a joint slot in the Space Shuttle solid motor showing inhibitor fluid-structure interaction. Read More >


Multi-tiered, fully integrated, flexible frameworks for powerhouse physics.

Rocstar’s software suites give you the means to explore your engineered systems through simulation while sparing you from costly missteps that can compromise time, money and the ultimate success of your project.

Our products include:

AresI_v_Mach2Rocstar Multiphysics. Rocstar, the company’s flagship tool, is a multifaceted fluid-structure-thermal multiphysics tool for general use. Rocstar provides the most advanced predictive simulation capability for analyzing performance and reliability in solid-propellant rocket performance and the virtual prototyping of new designs. Not just for solid rocket motor modeling, general, fluid dynamics, structural dynamics and combustion scenarios can be rigorously simulated at massively parallel speeds and levels of detail. The suite is designed to bear the burden, rather than piling it on the user—you and your team—whose time is better spent studying the simulations rather than sweating over their implementation. Designed from the start to scale on many processors, Rocstar is tailor-made for use on clusters from 32 processors to 32,000 or more…

CrystalRocpack. The implementation of heterogeneous, granular and porous material morphologies requires detailed, dependable structure representation. These applications involve materials such as concrete, sand, coal, granular explosives and solid rocket propellant. The spheres commonly used for such multiphysics simulations are useful in some applications, but do not properly replicate extremely important details related to micro-structures, thermal conductivity and elasticity. Rocpack’s suite of built-in convex shapes fill the void, allowing for extraordinarily detailed models of complex energetic materials such as plastic-bonded explosives gun propellant packs. Rocpack is available as a stand-alone package on either Linux or Microsoft Windows, or as part of the Illinois Rocstar IMSim Suite.

Software suites that realize your ideas. Hardware to harness their potential. A well-tuned team of engineers to back them up. Contact Rocstar to let us help you solve your hard problems.

OpenMultiphysicsLogo The OpenMultiphysics Consortium. The Illinois Rocstar-led Consortium for Open Multiphysics is a community of scientists, engineers, analysts, and developers from industry, government, and academia, dedicated to the design and implementation of a free and open interface and toolkit for application integration to aid in multiphysics development and simulation. The consortium members work together to address some of the challenges faced by entities endeavoring to develop, maintain, and conduct multiphysics simulations, usually in an HPC environment. The free, open-source Illinois Rocstar IMPACT Toolkit will allow organizations across the country to build the advanced multiphysics tools needed to propel manufacturing, R&D, and academic research to the next level. This project is being supported by the U.S. Department of Energy.

ROCUQ The Open-Source Illinois Rocstar ROCUQ package is a tool implementing an efficient methodology for quantifying uncertainties in system response quantities (SRQs) from long-running simulations where many uncertain input variables are involved. The so-called “curse of dimensionality” requires inordinate amounts of resources be expended to quantify uncertainties using typical sample, spectral, or other methods when many input parameters are uncertain. The Reduced-Order Clustering Uncertainty Quantification (ROCUQ) methodology has been under development over the past several years at the University of Illinois, and has been implemented by Illinois Rocstar. The goal of the ROCUQ methodology is to minimize the number of high-fidelity, computationally intensive simulation runs that are needed in order to provide estimates of output uncertainties of interest, especially when it is not possible to run the high-fidelity model more than a few times (e.g., 5 to 10). See the ROCUQ page for more information and contact information to obtain the software.