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Enhancement of CFD Surrogate Approaches for Thermo-Structural Response Prediction in High-Speed Flows

Brouwer, Kirk Rowse

Abstract Details

2018, Doctor of Philosophy, Ohio State University, Aero/Astro Engineering.
Robust and expedient prediction of the aerothermodynamic loads is critical to the development of modern reusable high-speed platforms. However, the presence of complex flow physics, including strong inviscid-viscous interactions, impinging shocks, and intense three-dimensionality, poses a significant challenge to the fielding of these platforms. Furthermore, the compliant nature of high-speed structures in combination with the extreme environments result in the potential for path-dependent loading conditions and deformed configurations that evolve over long-duration trajectories. While computational fluid dynamics (CFD) provides high accuracy solutions, computational costs limit application for online loads prediction. In contrast, basic engineering-level approximations are efficient but lack broad accuracy. These issues have motivated the development of CFD surrogates that harness the predictive accuracy of high-fidelity models while retaining the computational efficiency required for online predictions. While a significant body of work has demonstrated the capabilities of the CFD surrogate method, open questions remain regarding the viability of the approach for shock-dominated environments and systems with complex structural responses. This dissertation seeks to address these questions through the identification and development of required improvements. Specific tasks include characterizing the accuracy of the CFD surrogate approach for aeroelastic loads prediction in the presence of shock impingements and the development of modeling strategies to account for arbitrary structural deformations. For quasi-steady stationary and oscillating shock impingements, the CFD surrogate yields reasonable to excellent agreement with unsteady CFD at a fraction of the online computational cost. However, the accuracy of the model degrades as the relative length between the shock-induced separation and deformation increases. Through analytical and numerical studies, these errors are tied to the breakdown of quasi-steady interactions. Specifically, the interplay between shock-induced separation and surface motion induces unsteady variations in the separation length that are not accounted for in the surrogate models. This variation is linked to the dependency of separation on both the surface curvature and spatial gradient of surface velocity. In order to capture these effects, the CFD surrogate is supplemented with a recurrence model (Surrogate-Based Recurrence Framework or SBRF). Results demonstrate that the SBRF captures aeroelastic loading in the presence of shock-induced separation with a minimal increase in the online cost of the surrogate model. Finally, a new modeling strategy for steady aerothermodynamic loads prediction is developed in order to better accommodate structural deformation. The approach relies on the identification of key parameters in theoretical formulations, which are then used to construct pointwise surrogate models for the steady pressure and heating loads. In contrast to conventional surrogates that require a priori information on the structural response, the pointwise models capture arbitrary deformations with fewer steady CFD training solutions overall. Results highlight that the pointwise surrogates exhibit balanced performance in terms of accuracy and computational expense relative to several conventional modeling strategies.
Jack McNamara (Advisor)
Jen-Ping Chen (Committee Member)
Sandip Mazumder (Committee Member)
Benjamin Smarslok (Committee Member)
326 p.

Recommended Citations

Citations

  • Brouwer, K. R. (2018). Enhancement of CFD Surrogate Approaches for Thermo-Structural Response Prediction in High-Speed Flows [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543340520905498

    APA Style (7th edition)

  • Brouwer, Kirk. Enhancement of CFD Surrogate Approaches for Thermo-Structural Response Prediction in High-Speed Flows. 2018. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1543340520905498.

    MLA Style (8th edition)

  • Brouwer, Kirk. "Enhancement of CFD Surrogate Approaches for Thermo-Structural Response Prediction in High-Speed Flows." Doctoral dissertation, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543340520905498

    Chicago Manual of Style (17th edition)