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International Journal for Multiscale Computational Engineering

Publication de 6  numéros par an

ISSN Imprimer: 1543-1649

ISSN En ligne: 1940-4352

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: 1.4 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: 1.3 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: 2.2 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: 0.00034 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: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

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Dynamic Identification of Junction Forces by Discrete Time Identification Methods

Volume 6, Numéro 2, 2008, pp. 123-140
DOI: 10.1615/IntJMultCompEng.v6.i2.20
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RÉSUMÉ

Substructuring techniques consist of dividing a large problem into subparts to simplify their analysis. In engineering dynamics, substructuring techniques are primordial to solving large numerical systems and perform experimental analyses on large structures. In this work, we look at a novel technique for identifying the dynamic junction forces induced in mechanical superstructures by dynamic ground movements. The proposed method will be applied to civil engineering (building) as well as industrial mechanical (vehicles) structures. For the latter case of structures, we define the system as composed of three parts: the cockpit, the suspension system, and the ground connection. The ground-structure coupling part is the part of concern in this article. Under the action of external forces, the resulting behavior of dynamic ground-structure coupling is nonlinear. Apprehending behavior of this type is not an easy matter. To overcome the difficulty in identifying the junction forces applied to the cockpit substructure, we propose considering the structure as a "black box" dynamic state system. The proposed method for identifying junction forces may be globally subdivided into two steps: identification of forces from acceleration data fields and discrete identification with stable and physically realizable dynamic systems. It is based on numerical developments and experimental validations. This approach calls upon the techniques of substructuring and discrete time dynamic identification. Here the method of substructuring is based on the concept of dynamic impedances and the mechanical action-reaction principle. The method for identification is based on the technique of the autoregressive processes with X exogenous excitation "ARX" in multiinput single-output "MISO" and multioutput multiinput "MIMO" cases, and based on the exponential continuous-discrete time transformation technique. The ABC dynamic state system is carried out. It shows that the dynamic state depends only on stable poles of the AR part of the identified ARX signals. Applications were carried out on academic examples of structures and real industrial vehicles. The results obtained allow the validity of the step and show the effectiveness of the identification by ARX in MISO and MIMO cases, with interface reaction forces defined according to external accelerations of the connection interfaces.

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