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Kuchma, Daniel A. Lee, Heui Hwang 2015-09-25T21:04:38Z 2015-09-25T21:04:38Z 10000-01-01 2009 2009 These case studies suggest that the proposed framework for model validation is able to appropriately estimate the confidence interval of experimental observation, identify important sources of bias of computational models, and evaluate the model safety factor. Made available in DSpace on 2015-09-25T21:04:38Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3363011.pdf: 9488831 bytes, checksum: 8f820ba3eef127509480893b29120c70 (MD5) Previous issue date: 2009 Embargo set by: Seth Robbins for item 84673 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 237 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. http://hdl.handle.net/2142/83392 (MiAaPQ)AAI3363011 eng Engineering, Civil Estimation of Uncertainties and Validation of Computational Models for Structural Concrete text Civil Engineering Civil Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.