Whole System Simulation of Solid Propellant Rockets

Dick, William A.; Heath, Michael T.

doi:10.2514/6.2002-4345

Cited by 10 publications

(3 citation statements)

References 9 publications

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“…Along with the fast development of the CAD technology, engineering has a stronger and stronger dependence on it, and at the same time, many engineering fields have developed all kinds of CAD software applications used for engineers' daily design tasks, for example, GEN2 [1,2] in rocket engine design field. Commonly, those CAD software applications are based on a variety of design, simulation and optimization algorithm modules, and algorithm module integration is the basic application form in engineering.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Integrating Algorithm Modules in CAD Software Applications

Liang

Shen

2011

AMR

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This paper comes up with a new general-purpose approach to integrating algorithm modules in all kinds of CAD software applications. In algorithm module integration of mechanical engineering areas, the new approach uses round-robin calculation of algorithm modules instead of traditional hard-coding or specialized configuring methods. Drawbacks of traditional algorithm module integration approach are analyzed in detail, and then the new approach is put forward and discussed accordingly. Using the new approach in CAD software applications, engineering fields can reinforce reusability of algorithm modules; implement parallel calculating of algorithm modules, and increase flexibility of algorithm module integration in engineering tasks. Most of all, it can improve engineers’ work and raise their efficiency.

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Section: Introductionmentioning

confidence: 99%

A New Approach to Integrating Algorithm Modules in CAD Software Applications

Liang

Shen

2011

AMR

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“…GENx is a multi-component rocket simulation code developed at the University of Illinois [10]. The performance data was obtained from model-validation runs simulating lab-scale rockets.…”

Section: Variable Timestep Overheadmentioning

confidence: 99%

Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution

Yang

Mueller

ACM/IEEE SC 2005 Conference (SC'05)

113

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Performance prediction across platforms is increasingly important as developers can choose from a wide range of execution platforms. The main challenge remains to perform accurate predictions at a low-cost across different architectures.In this paper, we derive an affordable method approaching cross-platform performance translation based on relative performance between two platforms. We argue that relative performance can be observed without running a parallel application in full. We show that it suffices to observe very short partial executions of an application since most parallel codes are iterative and behave predictably manner after a minimal startup period. This novel prediction approach is observation-based. It does not require program modeling, code analysis, or architectural simulation. Our performance results using real platforms and production codes demonstrate that prediction derived from partial executions can yield high accuracy at a low cost. We also assess the limitations of our model and identify future research directions on observationbased performance prediction.

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“…must run efficiently in parallel on many processors and data must be exchanged frequently between modules in order to solve the tightly coupled system. The primary goal of the Center for Simulation of Advanced Rockets (CSAR) is to perform detailed, wholesystem simulations of solid rocket motors, making use of science-based models rather than empirical relations whenever possible 1 . In contrast, most simulations that have been performed to date by engineers in the rocket industry typically employ one-or two-dimensional models, often treating each component as an isolated system.…”

Section: Introductionmentioning

confidence: 99%

Simulations of Slumping Propellant and Flexing Inhibitors in Solid Rocket Motors

Fiedler

Breitenfeld

Jiao

et al. 2002

38th AIAA/ASME/SAE/ASEE Joint Propulsion Conference &Amp;amp; Exhibit

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We describe and present results from GEN2, the second-generation three-dimensional solid rocket motor simulation package developed at CSAR. The internal gas dynamics, propellant combustion, and structural response are fully coupled. In addition to several test cases, we simulate propellant slumping at a joint slot due to uneven gas pressure loads in the Titan IV SRMU. We also study the motion of a flexible inhibitor and its effect on the gas flow near a joint slot in a section of a typical large solid rocket motor. IntroductionDetailed 3-D simulation of solid rocket motors requires solving a very complex, tightly coupled multiphysics problem that includes a wide range of length and time scales. Obtaining accurate numerical solutions for relatively simple geometries, physical models, and even fairly short burn times, requires enormous computational resources that are available today only at major supercomputing centers. Each physics module (gas dynamics, structural mechanics, etc.) must run efficiently in parallel on many processors and data must be exchanged frequently between modules in order to solve the tightly coupled system.

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Whole System Simulation of Solid Propellant Rockets

Cited by 10 publications

References 9 publications

A New Approach to Integrating Algorithm Modules in CAD Software Applications

A New Approach to Integrating Algorithm Modules in CAD Software Applications

Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution

Simulations of Slumping Propellant and Flexing Inhibitors in Solid Rocket Motors

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