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International Journal for Uncertainty Quantification

Publicou 6 edições por ano

ISSN Imprimir: 2152-5080

ISSN On-line: 2152-5099

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.9 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0007 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.5 SJR: 0.584 SNIP: 0.676 CiteScore™:: 3 H-Index: 25

Indexed in

AN IMPROVEMENT OF THE UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL STRUCTURAL DYNAMICS WITH NONLINEAR GEOMETRICAL EFFECTS

Volume 7, Edição 1, 2017, pp. 83-98
DOI: 10.1615/Int.J.UncertaintyQuantification.2016019141
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RESUMO

In this work, we present an improvement of a computational methodology for the uncertainty quantification of structures in the presence of geometric nonlinearities. The implementation of random uncertainties is carried out through the nonparametric probabilistic framework from a nonlinear reduced-order model. With such usual modeling, it is difficult to analyze the influence of uncertainties on the nonlinear part of the operators with respect to its linear counterpart. In order to address this problem, an approach is proposed to take into account uncertainties for both the linear and the nonlinear operators. The methodology is then validated in the context of the nonlinear post-buckling of a cylindrical shell and in the context of a nonlinear mistuned industrial integrated bladed disk.

CITADO POR
  1. Capiez-Lernout E., Soize C., Ohayon R., Uncertainty Quantification for an Elasto-acoustic Nonlinear Reduced-Order Computational Model., Procedia Engineering, 199, 2017. Crossref

  2. Picou A., Capiez-Lernout E., Soize C., Mbaye M., Robust dynamic analysis of detuned-mistuned rotating bladed disks with geometric nonlinearities, Computational Mechanics, 65, 3, 2020. Crossref

  3. Choi Hee-Sun, Kim Jin-Gyun, Doostan Alireza, Park K.C., Acceleration of uncertainty propagation through Lagrange multipliers in partitioned stochastic method, Computer Methods in Applied Mechanics and Engineering, 362, 2020. Crossref

  4. Wang X.Q., Mignolet Marc P., Soize Christian, Structural uncertainty modeling for nonlinear geometric response using nonintrusive reduced order models, Probabilistic Engineering Mechanics, 60, 2020. Crossref

  5. Bai Bin, Zhang Junyi, Cui Yanchao, Li Han, Vibration characteristics investigation of mistuned blisks with receptance substructure component modal synthesis method, Journal of Mechanical Science and Technology, 34, 7, 2020. Crossref

  6. Capiez-Lernout Evangéline, Soize Christian, Nonparametric probabilistic approach for uncertainty quantification of geometrically nonlinear mistuned bladed-disks., Journal of Physics: Conference Series, 1264, 1, 2019. Crossref

  7. Akkaoui Q., Capiez-Lernout E., Soize C., Ohayon R., Uncertainty quantification for dynamics of geometrically nonlinear structures coupled with internal acoustic fluids in presence of sloshing and capillarity, Journal of Fluids and Structures, 94, 2020. Crossref

  8. Capiez-Lernout Evangéline, Soize Christian, Nonlinear stochastic dynamics of detuned bladed-disks with uncertain mistuning and detuning optimization using a probabilistic machine learning tool, International Journal of Non-Linear Mechanics, 143, 2022. Crossref

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