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Advances in Aircraft and Spacecraft Science Volume 4, Number 3, May 2017 , pages 297-316 DOI: https://doi.org/10.12989/aas.2017.4.3.297 |
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Service ORiented Computing EnviRonment (SORCER) for deterministic global and stochastic aircraft design optimization: part 1 |
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Chaitra Raghunath, Layne T. Watson, Mohamed Jrad, Rakesh K. Kapania and Raymond M. Kolonay
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| Abstract | ||
| With rapid growth in the complexity of large scale engineering systems, the application of multidisciplinary analysis and design optimization (MDO) in the engineering design process has garnered much attention. MDO addresses the challenge of integrating several different disciplines into the design process. Primary challenges of MDO include computational expense and poor scalability. The introduction of a distributed, collaborative computational environment results in better utilization of available computational resources, reducing the time to solution, and enhancing scalability. SORCER, a Java-based network-centric computing platform, enables analyses and design studies in a distributed collaborative computing environment. Two different optimization algorithms widely used in multidisciplinary engineering design-VTDIRECT95 and QNSTOP-are implemented on a SORCER grid. VTDIRECT95, a Fortran 95 implementation of D. R. Jones‟ algorithm DIRECT, is a highly parallelizable derivative-free deterministic global optimization algorithm. QNSTOP is a parallel quasi-Newton algorithm for stochastic optimization problems. The purpose of integrating VTDIRECT95 and QNSTOP into the SORCER framework is to provide load balancing among computational resources, resulting in a dynamically scalable process. Further, the federated computing paradigm implemented by SORCER manages distributed services in real time, thereby significantly speeding up the design process. Part 1 covers SORCER and the algorithms, Part 2 presents results for aircraft panel design with curvilinear stiffeners. | ||
| Key Words | ||
| service-oriented computing; federated computing; deterministic global optimization; stochastic optimization; multidisciplinary design | ||
| Address | ||
| Chaitra Raghunath: Department of Computer Science, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA Layne T. Watson: Department of Computer Science, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA; Department of Mathematics, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA; Department of Aerospace & Ocean Engineering, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA Mohamed Jrad, Rakesh K. Kapania: Department of Aerospace & Ocean Engineering, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA Raymond M. Kolonay: AFRL/RQVC, 2210 8th Street, Bldg. 146, Wright-Patterson Air Force Base, Dayton, OH 45433, USA | ||
