Computational system for multi disciplinary optimization at conceptual design stage

Fantini, Paolo; Balachandran, L. K.; Guenov, Marin D.

doi:10.1051/ijsmdo:2008024

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…The result of the first one is the modified PP-based method, developed through modification of the PPbased method [27,10]. The second one has taken advantage of the experience gained from the development of the first one and has led to the development of the Double Hyper-cone Boundary Intersection (DHCBI) method [7,8]. The third and latest method developed is the NC+ method.…”

Section: Multiobjective Optimization -Generating a Well-distributed Smentioning

confidence: 99%

Multidisciplinary Design Optimization Framework for the Pre Design Stage

Guenov

Fantini

Balachandran

et al. 2010

J Intell Robot Syst

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Presented is a novel framework for performing flexible computational design studies at preliminary design stage. It incorporates a workflow management device (WMD) and a number of advanced numerical treatments, including multi-objective optimization, sensitivity analysis and uncertainty management with emphasis on design robustness. The WMD enables the designer to build, understand, manipulate and share complex processes and studies. Results obtained after applying the WMD on various test cases, showed a significant reduction of the iterations required for the convergence of the computational system. The tests results also demonstrated the capabilities of the advanced treatments as follows:-The novel procedure for global multi-objective optimization has the unique ability to generate well-distributed Pareto points on both local and global Pareto fronts simultaneously.-The global sensitivity analysis procedure is able to identify input variables whose range of variation does not have significant effect on the objectives and constraints. It was demonstrated that fixing such variables can greatly reduce the computational time while retaining a satisfactory quality of the resulting Pareto front.-The novel derivative-free method for uncertainty propagation, which was proposed for enabling multi-objective robust optimization, delivers a higher accuracy compared to the one based on function linearization, without altering significantly the cost of the single optimization step.The work demonstrated for the first time that such capabilities can be used in a coordinated way to enhance the efficiency of the computational process and the effectiveness of the decision making at preliminary design stage.

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Section: Multiobjective Optimization -Generating a Well-distributed Smentioning

confidence: 99%

Multidisciplinary Design Optimization Framework for the Pre Design Stage

Guenov

Fantini

Balachandran

et al. 2010

J Intell Robot Syst

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“…Specifically, it is the conceptual design that determines the majority of the aircraft's life cycle costs [3]. It is therefore advantageous to assess as many air vehicle designs with the highest fidelity analyses possible given the available resources (e.g., human, schedule, and computational) This tradeoff between number of designs analyzed and available resources has typically favored the use of low fidelity closed-form equations and statistical models in conceptual design.…”

Section: Introductionmentioning

confidence: 99%

Efficient supersonic air vehicle design using the Service-Oriented Computing Environment (SORCER)

Burton

Alyanak

Kolonay

2014

Int. J. Simul. Multidisci. Des. Optim.

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-The Air Force Research Lab's Multidisciplinary Science and Technology Center is investigating conceptual design processes and computing frameworks that could significantly impact the design of the next generation efficient supersonic air vehicle (ESAV). The ESAV conceptual design process must accommodate appropriate fidelity multidisciplinary engineering analyses (MDAs) to assess the impact of new air vehicle technologies. These analyses may be coupled and computationally expensive, posing a challenge due to the large number of air vehicle configurations analyzed during conceptual design. In light of these observations, a design process using the Service-Oriented Computing Environment (SORCER) software is implemented to combine propulsion, structures, aerodynamics, aeroelasticity, and performance in an integrated MDA. The SORCER software provides the automation and tight integration to grid computing resources necessary to achieve the volume of appropriate fidelity analyses required. Two design studies are performed using a gradient-based optimization method to produce long and short range ESAV wing designs. The studies demonstrate the capability of the ESAV MDA, the optimization algorithm, and the computational scalability and reliability of the SORCER software.

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