{"@context":"http://iiif.io/api/presentation/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/manifest.json","@type":"sc:Manifest","label":"Multiscale Structural Shape and Topology Optimization via a Variational Parametric Level Set Framework","metadata":[{"label":"dc.identifier.uri","value":"http://hdl.handle.net/11401/78894"},{"label":"dcterms.abstract","value":"The design of structure is a research topic explored by human beings for hundreds of\nyears. However, for a long period of time, the designing process is always an experience or\ninspiration based tinkering rather than a scientifically based technology. As the designing\nrequirements become complicated, the intuition based designs may not work effectively\nas expected. Topology optimization, on the other hand, has the potential to systematically\ngenerate designs at their optimal performance without requiring a priori knowledge. This\npowerful tool has been utilized for decades and has seen a wide application in many\nengineering fields. Here in this thesis, the shape and topology optimization of designs\nare carried out within the framework of the level set approach. During the optimization,\nthe design is implicitly represented by the zero level of a one-dimension-higher hypersurface\nwhich is referred as the level set function. By coupling the level set model with the\nphysical model, the design performance can be evaluated in each optimization iteration\nto provide feedback to the designing process. With the feedback information, the level\nset function is updated accordingly until the final optimal structural layout is achieved.\nWith the help of the level set methods, the topological change of the design, including\nsplitting and merging can be handled in a natural way."},{"label":"dcterms.available","value":"2019-01-01"},{"label":"dcterms.contributor","value":"Advisor: Chen, Shikui"},{"label":"dcterms.creator","value":"Jiang, Long"},{"label":"dcterms.date","value":"2019"},{"label":"dcterms.dateAccepted","value":"2019-12-06T17:23:45Z"},{"label":"dcterms.dateSubmitted","value":"2019-12-06T17:23:45Z"},{"label":"dcterms.description","value":"Department of Mechanical Engineering"},{"label":"dcterms.extent","value":"164 pages"},{"label":"dcterms.format","value":"application/pdf"},{"label":"dcterms.issued","value":"2019-01-01"},{"label":"dcterms.language","value":"en"},{"label":"dcterms.provenance","value":"Made available in DSpace on 2019-12-06T17:23:45Z (GMT). No. of bitstreams: 1\nJiang_grad.sunysb_0771E_14301.pdf: 56548926 bytes, checksum: bca5c327ebd9fad3c344d11ceb68087e (MD5)\n  Previous issue date: 2019"},{"label":"dcterms.publisher","value":"Stony Brook University"},{"label":"dcterms.title","value":"Multiscale Structural Shape and Topology Optimization via a Variational Parametric Level Set Framework"},{"label":"dcterms.type","value":"Text"}],"description":"This manifest was generated dynamically","viewingDirection":"left-to-right","sequences":[{"@type":"sc:Sequence","canvases":[{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json","@type":"sc:Canvas","label":"Page 1","height":1650,"width":1275,"images":[{"@type":"oa:Annotation","motivation":"sc:painting","resource":{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/97%2F73%2F87%2F97738794903822966555416093711192676098/full/full/0/default.jpg","@type":"dctypes:Image","format":"image/jpeg","height":1650,"width":1275,"service":{"@context":"http://iiif.io/api/image/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/97%2F73%2F87%2F97738794903822966555416093711192676098","profile":"http://iiif.io/api/image/2/level2.json"}},"on":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json"}]}]}]}