Switching Dynamics of Shallow Arches

TL;DR

This paper develops an analytical method to predict the delayed switching behavior of nonlinear shallow arches under static and time-dependent loads, revealing how load rate, curvature, and damping influence the delay.

Contribution

It introduces a linearized analytical approach to model and predict delay switching times in shallow arches, validated against numerical solutions.

Findings

Delay increases as static load approaches the switching threshold

Delay is proportional to the rate of time-dependent loading

Analytical predictions closely match numerical results

Abstract

This paper presents an analytical method to predict the delayed switching dynamics of nonlinear shallow arches while switching from one state to another state for different loading cases. We study an elastic arch subject to static loading and time-dependent loading separately. In particular, we consider a time-dependent loading that evolves linearly with time at a constant rate. In both cases, we observed that the switching does not occur abruptly when the load exceeds the static switching load, rather the time scale of the dynamics drastically slows down; hence there is a delay in switching. For time-independent loading, this delay increases as the applied load approach the static switching load. Whereas for a time-dependent loading, the delay is proportional to the rate of the applied load. Other than the loading parameters, the delay switching time also depends on the local curvature of the force-displacement function at the static switching point and the damping coefficient of the arch material. The delay switching occurs due to the flatness of the energy curve at static switching load. Therefore, we linearize the arch near the static switching point and get a reduced nonlinear ordinary differential equation to study the switching dynamics of the arch. This reduced equation allows us to derive analytical expressions for the delay switching time of the. We further compare the derived analytical results with the numerical solutions and observed a good agreement between them. Finally, the derived analytical formulae can be used to design arches for self-offloading dynamic footwear for diabetics.