2019
DOI: 10.1016/j.ymssp.2019.02.025
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Recovering added mass in nanoresonator sensors from finite axial eigenfrequency data

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Cited by 17 publications
(18 citation statements)
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“…Thai et al [4] recently published relevant examples of the application of this theory to the analysis of the mechanical behaviour of nanostructures. Moreover, it is worth to cite the works by Morassi and coworkers [5][6][7][8][9] to address problems related with nanosensors. Other widely used approaches to address the mechanical behaviour of nanomechanical systems fall into the nonlocal continuum mechanics framework.…”
Section: Introductionmentioning
confidence: 99%
“…Thai et al [4] recently published relevant examples of the application of this theory to the analysis of the mechanical behaviour of nanostructures. Moreover, it is worth to cite the works by Morassi and coworkers [5][6][7][8][9] to address problems related with nanosensors. Other widely used approaches to address the mechanical behaviour of nanomechanical systems fall into the nonlocal continuum mechanics framework.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis is applied to the transverse vibration of a clamped-clamped nanobeam, but, however, the formulation relies on the classical elasticity theory. Using the modified strain gradient framework [9] to account for size effects, the inverse problem of determining the mass distribution of a nanorod from the knowledge of the first N resonant frequencies of the free axial vibration under clamped ends was originally addressed in [73]. Let us recall that the free axial vibration of a nanorod is governed by a differential operator with fourth order leading term, instead of a second-order operator, as it occurs for classical beams.…”
Section: Introductionmentioning
confidence: 99%
“…Assuming that the mass coefficient is a priori known on half of the nanorod, and that the added mass is a small perturbation of the total mass of the nanosensor, the reconstruction procedure produces an approximation of the unknown mass density as a generalized Fourier partial sum of order N , whose coefficients are calculated from the first N eigenvalues. The approach corresponds to a mixed formulation of the inverse eigenvalue problem with finite data, see, for example, the interesting paper by Barnes [74] and the introductory section in [73] for an overview of the main mathematical features of this class of problems.…”
Section: Introductionmentioning
confidence: 99%
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