journal article·2026-06Open access

Novel application of the modal strain energy technique for state-of-the-art damping predictions

Justin H. Porter, Tom Mace, Pietro Bortolotti, Evan M. Anderson, David Barnes, Mayank Chetan, Ryan Beach, Scott Hughes, Connor G. Davis, Benjamin J. Moldenhauer, Erik G. Rognerud, Kimberley A. Mac Donald, Christoph W. Schwingshackl

Abstract

Structural damping, which measures the energy dissipation of a vibrating structure, is a key modeling input for lightweight structures but is notoriously hard to predict. This work utilizes vibration-based measurements of centimeter-scale coupons and the modal strain energy approach to predict structural damping of a lightly damped structure. The approach was originally validated with panels shorter than a meter in length. This work extends the validation to a 2.75 m beam made of unidirectional and biaxial glass fiber laminates bonded by adhesive. The comparison between three-dimensional finite element model predictions and full-scale experimental measurements of damping show an average error of 5.2% for the first five modes. Additionally, the modal strain energy approach is newly applied with a one-dimensional geometrically exact beam theory model and a two-dimensional sectional analysis solver. This beam approach accurately predicts the damping behavior of the first bending modes but loses accuracy for higher order modes that are dominated by three-dimensional effects. This novel approach provides faster simulations while allowing arbitrary beam cross sections. The paper also investigates traditional and high-force dynamic mechanical analysis to measure structural damping of coupons. Both alternatives show significant errors in attempted validation against the theoretical thermoelastic damping of aluminum coupons.
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Research context

OpenAlex topics: Bladed Disk Vibration Dynamics · Composite Structure Analysis and Optimization · Aeroelasticity and Vibration Control

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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