Issue 47, 2025

Analysis of disordered trusses using network Laplacians

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 via 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.

Graphical abstract: Analysis of disordered trusses using network Laplacians

Supplementary files

Article information

Article type
Paper
Submitted
18 Jun 2025
Accepted
15 Oct 2025
First published
24 Oct 2025
This article is Open Access
Creative Commons BY-NC license

Soft Matter, 2025,21, 8986-8998

Analysis of disordered trusses using network Laplacians

S. Fancher, N. Sarpangala, P. K. Purohit and E. Katifori, Soft Matter, 2025, 21, 8986 DOI: 10.1039/D5SM00619H

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