Energy localization and spatiotemporal pattern evolution mechanism of spatial thin-film structures under parametric excitation

This paper investigates energy localization and spatiotemporal pattern evolution in spatial thin-film structures subjected to parametric excitation. A nonlinear thin-shell model is established by combining geometric nonlinearity, time-varying in-plane tension, damping, and multimodal coupling. A second-order multiple-scales perturbation procedure is then used to derive slow-flow modulation equations, and a high-fidelity finite element platform verifies the resulting localization and pattern-selection predictions. The analysis shows that pronounced localization occurs near the combined-resonance condition ω1 + ω2)/2, when the normalized tension fluctuation exceeds approximately γ > 0.20. The nonlinear modal coupling strength κ controls topology selection: stationary breathers dominate for κ < 0.35, whereas traveling patterns emerge for κ > 0.40, with a transition centered near κc ≈ 0.375. The pattern wavelength follows λ/L ≈ 0.28 for square and near-square membranes, while highly anisotropic geometries require direction-dependent correction. Long-term simulations over 2000 excitation cycles show decay rates below 3%, indicating attractor-like persistence within the verified numerical horizon. Frequency-wavenumber spectra further confirm selective modal amplification at resonance. The results provide quantitative criteria for pretension management, hot-spot prediction, and placement of stiffeners, dampers, or active actuators in deployable aerospace membrane structures.

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Publication Details

Journal
PLoS ONE
Published
2026-07-17
DOI
https://doi.org/10.1371/journal.pone.0353936
Primary Topic
Fluid Dynamics and Thin Films
Type
article
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article

Energy localization and spatiotemporal pattern evolution mechanism of spatial thin-film structures under parametric excitation

Dapeng Zhou, X X Liu, Xingjun Tong, Teng Li
PLoS ONE
Fluid Dynamics and Thin Films
article

Energy localization and spatiotemporal pattern evolution mechanism of spatial thin-film structures under parametric excitation

Dapeng Zhou, X X Liu, Xingjun Tong, Teng Li
article en

Abstract

This paper investigates energy localization and spatiotemporal pattern evolution in spatial thin-film structures subjected to parametric excitation. A nonlinear thin-shell model is established by combining geometric nonlinearity, time-varying in-plane tension, damping, and multimodal coupling. A second-order multiple-scales perturbation procedure is then used to derive slow-flow modulation equations, and a high-fidelity finite element platform verifies the resulting localization and pattern-selection predictions. The analysis shows that pronounced localization occurs near the combined-resonance condition ω1 + ω2)/2, when the normalized tension fluctuation exceeds approximately γ > 0.20. The nonlinear modal coupling strength κ controls topology selection: stationary breathers dominate for κ < 0.35, whereas traveling patterns emerge for κ > 0.40, with a transition centered near κc ≈ 0.375. The pattern wavelength follows λ/L ≈ 0.28 for square and near-square membranes, while highly anisotropic geometries require direction-dependent correction. Long-term simulations over 2000 excitation cycles show decay rates below 3%, indicating attractor-like persistence within the verified numerical horizon. Frequency-wavenumber spectra further confirm selective modal amplification at resonance. The results provide quantitative criteria for pretension management, hot-spot prediction, and placement of stiffeners, dampers, or active actuators in deployable aerospace membrane structures.

PLoS ONEVol. 21(7)
Qiqihar University (CN), China First Heavy Industries (China) (CN), Harbin Electric Corporation (China) (CN), Liaoning Jianzhu Vocational University (CN)
Affordable and clean energy
Openalex Percentile: Top 10%
Fluid Dynamics and Thin Films
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Energy localization and spatiotemporal pattern evolution mechanism of spatial thin-film structures under parametric excitation — Dapeng Zhou, X X Liu, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS