Data Driven Computing

Data Driven Computing is a new field of computational analysis which uses provided data to directly produce predictive outcomes. This thesis first establishes definitions of Data-Driven solvers and working examples of static mechanics problems to demonstrate efficacy. Significant extensions are th...

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Main Author: Kirchdoerfer, Trenton Thomas
Format: Others
Language:en
Published: 2018
Online Access:https://thesis.library.caltech.edu/10431/8/Kirchdoerfer_Trenton_2017_Thesis.pdf
Kirchdoerfer, Trenton Thomas (2018) Data Driven Computing. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9Z899MV. https://resolver.caltech.edu/CaltechTHESIS:09122017-092017294 <https://resolver.caltech.edu/CaltechTHESIS:09122017-092017294>
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spelling ndltd-CALTECH-oai-thesis.library.caltech.edu-104312021-10-29T05:01:32Z https://thesis.library.caltech.edu/10431/ Data Driven Computing Kirchdoerfer, Trenton Thomas Data Driven Computing is a new field of computational analysis which uses provided data to directly produce predictive outcomes. This thesis first establishes definitions of Data-Driven solvers and working examples of static mechanics problems to demonstrate efficacy. Significant extensions are then explored to both accommodate noisy data sets and apply the deveoloped methods to dynamic problems within mechanics. Possible method improvements discuss incorporation of data quality metrics and adaptive data sampling, while new applications focus on multi-scale analysis and the need for public databases to support constitutive data collaboration. 2018 Thesis NonPeerReviewed application/pdf en other https://thesis.library.caltech.edu/10431/8/Kirchdoerfer_Trenton_2017_Thesis.pdf Kirchdoerfer, Trenton Thomas (2018) Data Driven Computing. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9Z899MV. https://resolver.caltech.edu/CaltechTHESIS:09122017-092017294 <https://resolver.caltech.edu/CaltechTHESIS:09122017-092017294> https://resolver.caltech.edu/CaltechTHESIS:09122017-092017294 CaltechTHESIS:09122017-092017294 10.7907/Z9Z899MV
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language en
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description Data Driven Computing is a new field of computational analysis which uses provided data to directly produce predictive outcomes. This thesis first establishes definitions of Data-Driven solvers and working examples of static mechanics problems to demonstrate efficacy. Significant extensions are then explored to both accommodate noisy data sets and apply the deveoloped methods to dynamic problems within mechanics. Possible method improvements discuss incorporation of data quality metrics and adaptive data sampling, while new applications focus on multi-scale analysis and the need for public databases to support constitutive data collaboration.
author Kirchdoerfer, Trenton Thomas
spellingShingle Kirchdoerfer, Trenton Thomas
Data Driven Computing
author_facet Kirchdoerfer, Trenton Thomas
author_sort Kirchdoerfer, Trenton Thomas
title Data Driven Computing
title_short Data Driven Computing
title_full Data Driven Computing
title_fullStr Data Driven Computing
title_full_unstemmed Data Driven Computing
title_sort data driven computing
publishDate 2018
url https://thesis.library.caltech.edu/10431/8/Kirchdoerfer_Trenton_2017_Thesis.pdf
Kirchdoerfer, Trenton Thomas (2018) Data Driven Computing. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9Z899MV. https://resolver.caltech.edu/CaltechTHESIS:09122017-092017294 <https://resolver.caltech.edu/CaltechTHESIS:09122017-092017294>
work_keys_str_mv AT kirchdoerfertrentonthomas datadrivencomputing
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