2015
DOI: 10.1590/1679-78251417
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A Differential Quadrature Procedure with Regularization of the Dirac-delta Function for Numerical Solution of Moving Load Problem

Abstract: The differential quadrature method (DQM) is one of the most elegant and efficient methods for the numerical solution of partial differential equations arising in engineering and applied sciences. It is simple to use and also straightforward to implement. However, the DQM is well-known to have some difficulty when applied to partial differential equations involving singular functions like the Dirac-delta function. This is caused by the fact that the Dirac-delta function cannot be directly discretized by the DQM… Show more

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Cited by 38 publications
(21 citation statements)
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“…The DQMR results are shown for three different values of α. It is noted that in DQMR, the Dirac-delta function is approximated as (Eftekhari, 2015a)…”
Section: Deflection Of a Simply Supported Beam Due To A Concentrated mentioning
confidence: 99%
See 3 more Smart Citations
“…The DQMR results are shown for three different values of α. It is noted that in DQMR, the Dirac-delta function is approximated as (Eftekhari, 2015a)…”
Section: Deflection Of a Simply Supported Beam Due To A Concentrated mentioning
confidence: 99%
“…The parameters of the problem are assumed to be (Eftekhari, 2015a) In Table 1, the numerical results are given for dynamic magnification factors (DMFs) (maximum value of normalized deflection at the beam center) of a simply supported beam for different values of moving speed. The analytical solution values are also shown for comparison.…”
Section: Vibration Of a Beam Due To A Moving Point Loadmentioning
confidence: 99%
See 2 more Smart Citations
“…Most of these applications are related to static and dynamic analyses of structural components like beams, plates, and shells. Newer applications include the use of DQM for solving moving load problems [46,47] and uid-structure interaction problems [48,49]. The results of many research works show that the DQM is computationally e cient and is applicable to a large class of initial and/or boundary value problems.…”
Section: Erential Quadrature Methodsmentioning
confidence: 99%