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Title: Nonlinear Finite Element Model Updating Part II: Implementation and Simulation.


Abstract not provided.

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Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
Journal ID: ISSN 2191--5644; 648714
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the IMAC XXXV A Conference and Exposition on Structural Dynamics held January 30 - February 2, 2017 in Garden Grove, CA.
Country of Publication:
United States

Citation Formats

Owens, Brian Christopher, Schultz, Ryan, Pacini, Benjamin Robert, and Mayes, Randall L. Nonlinear Finite Element Model Updating Part II: Implementation and Simulation.. United States: N. p., 2016. Web. doi:10.1007/978-3-319-54930-9_25.
Owens, Brian Christopher, Schultz, Ryan, Pacini, Benjamin Robert, & Mayes, Randall L. Nonlinear Finite Element Model Updating Part II: Implementation and Simulation.. United States. doi:10.1007/978-3-319-54930-9_25.
Owens, Brian Christopher, Schultz, Ryan, Pacini, Benjamin Robert, and Mayes, Randall L. 2016. "Nonlinear Finite Element Model Updating Part II: Implementation and Simulation.". United States. doi:10.1007/978-3-319-54930-9_25.
title = {Nonlinear Finite Element Model Updating Part II: Implementation and Simulation.},
author = {Owens, Brian Christopher and Schultz, Ryan and Pacini, Benjamin Robert and Mayes, Randall L.},
abstractNote = {Abstract not provided.},
doi = {10.1007/978-3-319-54930-9_25},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month =

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  • Abstract not provided.
  • This research aims at formulating criteria for measuring the correlation between test data and finite element results for nonlinear, transient dynamics. After reviewing the linear case and illustrating the limitations of modal-based updating when it is applied to nonlinear experimental data, simple time-domain, test-analysis correlation metrics are proposed. Two implementations are compared: the conventional least-squares technique and the Principal Component Decomposition that correlates subspaces rather than individual time-domain responses. Illustrations and discussions are provided using the LANL 8-DOF system, an experimental testbed for validating nonlinear data correlation and model updating techniques.
  • Finite element model validation is a topic of current interest to many researchers in the field of linear and nonlinear structural dynamics. Model validation refers to ''substantiation that a model, within its domain of applicability, possesses a satisfactory range of accuracy consistent with the intended application of the model. [1]. Validation is accomplished primarily by comparison of simulation results to experimental results to confirm the accuracy of the mechanics models in the simulation and the values of the parameters employed in the simulation, and to explore how the simulation might be improved. The assessment of uncertainties in the simulation mechanicsmore » models and their associated parameters plays a critical role in the credible validation of nonlinear structural dynamics models. The study of the effects that these uncertainties produce is termed uncertainty quantification (UQ). A major issue in UQ is the determination of how the distributions of the model parameters (which essentially form a set of inputs to the simulation) should be represented in order to accurately reflect the real-world response of the structure. In the case of repeated experiments, it is sometimes adequate to monitor the values of the input variables (e.g. forces, temperatures, velocities, etc.) and estimate a distribution from these observations. However, in many structural dynamics experiments, there can be significant input variables that are either unmeasurable (such as the actual orientation of parts during an impact event) or unmeasured (such as the level of torque applied to an interface during assembly). In these cases, it is necessary to estimate the distributions of the key input variables by indirect means. In this paper, a previously developed model updating technique for nonlinear structural dynamics models is applied to data from repeated experimental trials to estimate the distributions of four key input parameters for a transient impact event. The model updating technique itself, along with the selection of the key simulation parameters, is not the focus of this paper, and so these issues are only addressed in summary form.« less
  • No abstract prepared.
  • A time domain drillstring dynamics model allows the prediction of BHA dynamics related to torsional and two plane lateral vibrations. The model considers a nonlinear Finite Element approach that takes into account arbitrarily shaped assemblies during drilling of curved boreholes. Each nodal point represents a stabilizer, a collar connection or a wear knot moving viscously dampled inside open hole or a casing. In the case of wall contact, restitution forces from the formation act on the string and contact velocity dependent friction forces are introduced. The torsional and the lateral degrees of freedom (d.o.f.) are therefore coupled. The authors introducemore » a nonlinear relationship between the cutting forces at the PDC bit and the angular velocity of the bit. Bit and BHA whirl, rotational Stick-Slip phenomena and normal drilling conditions are solved numerically. Results show that the drilling process is always transient. Commonly used static models only can provide the drilling engineer with rough estimates of the loading. Evaluation of BHA failures sometimes reveal an ultra high dynamic loading of the BHA components that can be analyzed and predicted with this time domain application.« less