Origami-inspired mechanical metamaterials could exhibit extraordinary properties that originate almost exclusively from the intrinsic geometry of the constituent folds. While most of current state of the art efforts have focused on the origami’s static and quasi-static scenarios, this research explores the dynamic characteristics of degree-4 vertex (4-vertex) origami folding. Here we characterize the mechanics and dynamics of two 4-vertex origami structures, one is a stacked Miura-ori (SMO) structure with structural bistability, and the other is a stacked single-collinear origami (SSCO) structure with locking-induced stiffness jump; they are the constituent units of the corresponding origami metamaterials. In this research, we theoretically model and numerically analyze their dynamic responses under harmonic base excitations. For the SMO structure, we use a third-order polynomial to approximate the bistable stiffness profile, and numerical simulations reveal rich phenomena including small-amplitude intrawell, large-amplitude interwell, and chaotic oscillations. Spectrum analyses reveal that the quadratic and cubic nonlinearities dominate the intrawell oscillations and interwell oscillations, respectively. For the SSCO structure, we use a piecewise constant function to describe the stiffness jump, which gives rise to a frequency-amplitude response with hardening nonlinearity characteristics. Mainly two types of oscillations are observed, one with small amplitude that coincides with the linear scenario because locking is not triggered, and the other with large amplitude and significant nonlinear characteristics. The method of averaging is adopted to analytically predict the piecewise stiffness dynamics. Overall, this research bridges the gap between the origami quasi-static mechanics and origami folding dynamics, and paves the way for further dynamic applications of origami-based structures and metamaterials.
Skip Nav Destination
ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 18–20, 2017
Snowbird, Utah, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5826-4
PROCEEDINGS PAPER
Exploring the Dynamic Characteristics of Degree-4 Vertex Origami Metamaterials
Yutong Xia,
Yutong Xia
University of Michigan, Ann Arbor, MI
Search for other works by this author on:
Hongbin Fang,
Hongbin Fang
University of Michigan, Ann Arbor, MI
Search for other works by this author on:
K. W. Wang
K. W. Wang
University of Michigan, Ann Arbor, MI
Search for other works by this author on:
Yutong Xia
University of Michigan, Ann Arbor, MI
Hongbin Fang
University of Michigan, Ann Arbor, MI
K. W. Wang
University of Michigan, Ann Arbor, MI
Paper No:
SMASIS2017-3810, V002T03A018; 10 pages
Published Online:
November 9, 2017
Citation
Xia, Y, Fang, H, & Wang, KW. "Exploring the Dynamic Characteristics of Degree-4 Vertex Origami Metamaterials." Proceedings of the ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 2: Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation; Structural Health Monitoring. Snowbird, Utah, USA. September 18–20, 2017. V002T03A018. ASME. https://doi.org/10.1115/SMASIS2017-3810
Download citation file:
80
Views
Related Proceedings Papers
Dynamics of Dual-Cell Series Miura-Ori Structures With Different Types of Inter-Cell Connections
IDETC-CIE2021
Harnessing the Quasi-Zero Stiffness From Fluidic Origami for Low Frequency Vibration Isolation
SMASIS2017
Related Articles
Reduced Order Modeling of Dynamic Mechanical Metamaterials for Analysis of Infinite and Finite Systems
J. Appl. Mech (September,2023)
Nonlinear Periodically Forced Vibration of Stay Cables
J. Vib. Acoust (April,2004)
On a Nonlinear Locally Resonant Metamaterial With Resistance-Inductance Shunt
J. Comput. Nonlinear Dynam (May,2024)
Related Chapters
The Dynamic Response Analyse of Fuzzy-Random Truss under Stationary Stochastic Excitation
Proceedings of the 2010 International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2010)
Ultra High-Speed Microbridge Chaos Domain
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Characterization of Composite Material's Dynamic Response Using Load/Stroke Frequency Response Measurement
Composite Materials: Fatigue and Fracture, Fourth Volume