F
François M. Hemez
Researcher at Los Alamos National Laboratory
Publications - 130
Citations - 4437
François M. Hemez is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Uncertainty quantification & Uncertainty analysis. The author has an hindex of 26, co-authored 130 publications receiving 4213 citations. Previous affiliations of François M. Hemez include Lawrence Livermore National Laboratory & University of Colorado Boulder.
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A review of structural health monitoring literature 1996-2001
TL;DR: An updated review covering the years 1996 2001 will summarize the outcome of an updated review of the structural health monitoring literature, finding that although there are many more SHM studies being reported, the investigators, in general, have not yet fully embraced the well-developed tools from statistical pattern recognition.
A Review of Structural Health Review of Structural Health Monitoring Literature 1996-2001.
TL;DR: Although there are many more SHM studies being reported, the investigators, in general, have not yet fully embraced the well-developed tools from statistical pattern recognition, and the discrimination procedures employed are often lacking the appropriate rigor necessary for this technology to evolve beyond demonstration problems carried out in laboratory setting.
Journal ArticleDOI
Updating finite element dynamic models using an element-by-element sensitivity methodology
Charbel Farhat,François M. Hemez +1 more
TL;DR: In this paper, a sensitivity-based methodology for improving the finite element model of a given structure using test modal data and a few sensors is presented, which searches for both the location and sources of the mass and stiffness errors.
ReportDOI
Concepts of Model Verification and Validation
Ben H. Thacker,Scott W. Doebling,François M. Hemez,Mark C. Anderson,Jason E. Pepin,Edward A. Rodriguez +5 more
TL;DR: This report attempts to describe the general philosophy, definitions, concepts, and processes for conducting a successful V&V program, motivated by the need for highly accurate numerical models for making predictions to support the SSP, and also by the lack of guidelines, standards and procedures for performing V &V for complex numerical models.
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Uncertainty and Sensitivity Analysis of Damage Identification Results Obtained Using Finite Element Model Updating
TL;DR: This study investigates systematically the performance of FE model updating for damage identification in a full-scale reinforced concrete shear wall building structure tested on the UCSD- NEES shake table in the period October 2005-January 2006.