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International Journal for Uncertainty Quantification

Publicado 6 números por año

ISSN Imprimir: 2152-5080

ISSN En Línea: 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

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ROBUST STOCHASTIC DESIGN OF BASE-ISOLATED STRUCTURAL SYSTEMS

Volumen 2, Edición 2, 2012, pp. 95-110
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.20
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SINOPSIS

The development of a general framework for robust reliability-based design of base-isolated structural systems under uncertain conditions is presented. The uncertainties about the structural parameters as well as the variability of future excitations are characterized in a probabilistic manner. Isolation elements composed of nonlinear lead rubber bearings are used to model the isolation system. The optimal design problem is formulated as a nonlinear constrained minimization problem involving multiple design requirements, including reliability constraints related to the structural performance. Failure events defined by a large number of random variables are used to characterize the reliability of the system. A sequential optimization approach based on global conservative, convex, and separable approximations is implemented for solving the optimization problem. An example problem that considers a 10-story building under stochastic ground excitation illustrates the beneficial effects of base-isolation systems in reducing the superstructure response.

CITADO POR
  1. JACOB C., SEPAHVAND K., MATSAGAR V. A., MARBURG S., STOCHASTIC SEISMIC RESPONSE OF BASE-ISOLATED BUILDINGS, International Journal of Applied Mechanics, 05, 01, 2013. Crossref

  2. Jensen H.A., Kusanovic D.S., On the effect of near-field excitations on the reliability-based performance and design of base-isolated structures, Probabilistic Engineering Mechanics, 36, 2014. Crossref

  3. Jensen Hector, Papadimitriou Costas, Reliability Analysis of Dynamical Systems, in Sub-structure Coupling for Dynamic Analysis, 89, 2019. Crossref

  4. Jensen H.A., Mayorga F., Valdebenito M.A., On the reliability of structures equipped with a class of friction-based devices under stochastic excitation, Computer Methods in Applied Mechanics and Engineering, 364, 2020. Crossref

  5. Jerez D.J., Jensen H.A., Beer M., Reliability-based design optimization of structural systems under stochastic excitation: An overview, Mechanical Systems and Signal Processing, 166, 2022. Crossref

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