GPU-Based Fluid-Structure Interaction using Immersed Boundary Methods Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/gb19f9157

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  • Engineering applications often require fast, accurate solutions of fluid flow around freely moving bodies. The massive parallelism enabled by graphics processing unit (GPU) architecture enables high performance, offering a promising alternative to traditional solver acceleration via multicore central processing units (CPU). However, fully harnessing GPU parallelism requires specialized algorithms and computing strategies. This work modifies direct-forcing immersed boundary methods to model fluid-structure interaction and investigates this behavior on GPUs. I performed solver verification using lid-driven cavity flow, impulsively started flow over a cylinder, flow over a forced oscillating cylinder and vortex-induced vibration.
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  • description.provenance : Made available in DSpace on 2017-01-26T18:47:11Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) MinarChristopherS2016.pdf: 1242873 bytes, checksum: f68693e9ce9e2ad166b7c8a2e0c4a1fc (MD5) Previous issue date: 2016-12-05
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  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2017-01-19T20:26:49Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) MinarChristopherS2016.pdf: 1242873 bytes, checksum: f68693e9ce9e2ad166b7c8a2e0c4a1fc (MD5)

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