Analysis of disordered trusses using network Laplacians

Truss structures, with distributed mass elements, at macro-scale are common in a number of engineering applications and are now being increasingly used at the micro-scale to construct metamaterials. In analyzing the properties of a given truss structure, it is often necessary to understand how stress waves propagate through the system and or its dynamic modes under time dependent loading so as to allow for maximally efficient use of space and material. This can be a computationally challenging task for particularly large or complex structures, with current methods requiring fine spatial discretization or evaluations of sizable matrices. Here we present a spectral method to compute the dynamics of trusses inspired by results from fluid flow networks. Our model accounts for the full dynamics of linearly elastic truss elements <i>via</i> a network Laplacian; a matrix object which couples the motions of the structure joints. We show that this method is equivalent to the continuum limit of linear finite element methods as well as capable of reproducing natural frequencies and modes determined by more complex and computationally costlier methods. Our results show that balls-and-springs models inadequately describe dynamics, especially at short times relative to wave propagation time through rods. Furthermore, we illustrate the method's utility in optimizing target joint displacements using impedance matching and resonance-based schemes, offering a computationally efficient approach for analyzing large, complex truss structures.

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Publication Details

Journal
Soft Matter
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sm00619h
Primary Topic
Structural Engineering and Vibration Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysis of disordered trusses using network Laplacians

Sean Fancher, Prashant K. Purohit, Eleni Katifori, Niranjan Sarpangala
Soft Matter
Structural Engineering and Vibration Analysis
article

Analysis of disordered trusses using network Laplacians

Sean Fancher, Prashant K. Purohit, Eleni Katifori, Niranjan Sarpangala
article en

Abstract

Truss structures, with distributed mass elements, at macro-scale are common in a number of engineering applications and are now being increasingly used at the micro-scale to construct metamaterials. In analyzing the properties of a given truss structure, it is often necessary to understand how stress waves propagate through the system and or its dynamic modes under time dependent loading so as to allow for maximally efficient use of space and material. This can be a computationally challenging task for particularly large or complex structures, with current methods requiring fine spatial discretization or evaluations of sizable matrices. Here we present a spectral method to compute the dynamics of trusses inspired by results from fluid flow networks. Our model accounts for the full dynamics of linearly elastic truss elements <i>via</i> a network Laplacian; a matrix object which couples the motions of the structure joints. We show that this method is equivalent to the continuum limit of linear finite element methods as well as capable of reproducing natural frequencies and modes determined by more complex and computationally costlier methods. Our results show that balls-and-springs models inadequately describe dynamics, especially at short times relative to wave propagation time through rods. Furthermore, we illustrate the method's utility in optimizing target joint displacements using impedance matching and resonance-based schemes, offering a computationally efficient approach for analyzing large, complex truss structures.

Soft MatterVol. 21(47)
University of Michigan (US), Flatiron Health (United States) (US), Flatiron Institute (US), University of Pennsylvania (US)
University of Pennsylvania, Materials Research Science and Engineering Center, Harvard University, Multidisciplinary University Research Initiative, Division of Materials Research, Army Research Office
Openalex Percentile: Top 68%
Structural Engineering and Vibration Analysis
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