2019
DOI: 10.1140/epjp/i2019-12890-8
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Discrete mass-spring structure identification in nonlocal continuum space-fractional model

Abstract: This paper considers discrete mass-spring structure identification in a nonlocal continuum spacefractional model, defined as an optimization task. Dynamic (eigenvalues and eigenvectors) and static (displacement field) solutions to discrete and continuum theories are major constituents of the objective function. It is assumed that the masses in both descriptions are equal (and constant), whereas the spring stiffness distribution in a discrete system becomes a crucial unknown. The considerations include a variet… Show more

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Cited by 20 publications
(9 citation statements)
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“…This is positive and moreover, such an answer is true in terms of the static and dynamic answer-in the last case, both in terms of eigenvalues and eigenvectors; such results have been never presented before for competitive theories. This paper extends the results presented in [32] to show the applicability of sFCM to design 1D material bodies with a specific dynamic eigenvalue spectrum. Such a formulated problem is based on the proper spatial distribution of material length scale which maps the information about the underlying microstructure (it is important that the material length scale is one of two additional material parameters of sFCM compared to the classical local continuum mechanics-the second one, the order of fractional continua-is treated herein as a scaling parameter only).…”
Section: Introductionsupporting
confidence: 72%
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“…This is positive and moreover, such an answer is true in terms of the static and dynamic answer-in the last case, both in terms of eigenvalues and eigenvectors; such results have been never presented before for competitive theories. This paper extends the results presented in [32] to show the applicability of sFCM to design 1D material bodies with a specific dynamic eigenvalue spectrum. Such a formulated problem is based on the proper spatial distribution of material length scale which maps the information about the underlying microstructure (it is important that the material length scale is one of two additional material parameters of sFCM compared to the classical local continuum mechanics-the second one, the order of fractional continua-is treated herein as a scaling parameter only).…”
Section: Introductionsupporting
confidence: 72%
“…Herein, it is important, because the designing procedure to obtain the specific dynamic properties of the analysed material body is the crux of presented considerations, that the applicability of sFCM was proved based on validation with rigorous experiments [30,31]. Furthermore, as presented in [32] the answer to the question: Is there a discrete structure that is homogenized by sFCM? This is positive and moreover, such an answer is true in terms of the static and dynamic answer-in the last case, both in terms of eigenvalues and eigenvectors; such results have been never presented before for competitive theories.…”
Section: Introductionmentioning
confidence: 99%
“…The concept of variable length scale [36] f = f (x), as function decreasing at the boundaries, has been kept. These two parameters α and f are regarded as associated with microstructure [37] and responsible for SE mapping.…”
Section: Theorymentioning
confidence: 99%
“…The concept of variable length scale , as function decreasing at the boundaries, has been kept [ 39 ]. These two parameters— and —are regarded as being associated with microstructure [ 40 ] and responsible for scale effect mapping.…”
Section: Governing Equationsmentioning
confidence: 99%
“…In models defined within the framework of space-fractional mechanics, the non-locality parameters and are considered to be related to the microstructure of the material (for a discussion on the association of microstructure with the non-locality parameters see in [ 40 ]). Consequently, these parameters are considered as constant and independent of the body geometry or the analysis performed (static or dynamic).…”
Section: Experimental Validationmentioning
confidence: 99%