Immersogeometric analysis with point cloud geometry towards practical applications

dc.contributor.advisor Adarsh Krishnamurthy Khristy, Joel
dc.contributor.department Mechanical Engineering 2021-06-11T00:47:36.000 2021-08-14T06:33:33Z 2021-08-14T06:33:33Z Sat May 01 00:00:00 UTC 2021 2022-06-04 2021-01-01
dc.description.abstract <p>Recently, immersogeometric analysis (IMGA) was successfully applied to simulate compressibleand incompressible fluid flows over CAD models represented using triangles, non-uniform rational B-splines (NURBS), and analytic surfaces. However, performing flow analysis over real-life objects requires CAD model reconstruction, which can be as tedious as the mesh generation process itself. In a point cloud geometry, the object is represented as an unstructured collection of points. Point cloud representation has proliferated as a form of acquiring geometric information in digital format using LIDAR scanners, optical scanners, or other passive methods like multi-view stereo images. In this work, we perform IMGA directly on point cloud representation of geometry, thus enabling flow analysis over as-manufactured components. Due to the absence of topological information in a point cloud, there are no guarantees that the geometric representation is watertight, which makes performing inside-outside tests on the background mesh challenging. To address this, we first develop methods for generating topological properties on a point cloud and compute inside- outside information directly from the resulting topology. Then, validations are performed for these geometric estimation methods, as well as for point cloud IMGA (PC-IMGA) incompressible flow results. We finally demonstrate additional features and scalability of our approach by performing PC-IMGA on large construction machinery represented by a dense cloud of more than 12 million points, along with our other PC-IMGA developments, including weak thermal boundary conditions and transient boundaries.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 9532
dc.identifier.contextkey 23293882
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/18525
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 21:43:29 UTC 2022
dc.subject.keywords Computational fluid dynamics
dc.subject.keywords Geometric algorithms
dc.subject.keywords Immersogeometric analysis
dc.subject.keywords Point clouds
dc.subject.keywords Surface reconstruction
dc.subject.keywords Weak boundary conditions
dc.title Immersogeometric analysis with point cloud geometry towards practical applications
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication 6d38ab0f-8cc2-4ad3-90b1-67a60c5a6f59 Mechanical Engineering thesis Master of Science
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