An overview of the mechanical description of origami-inspired systems and structures
LM Fonseca, GV Rodrigues, MA Savi - International Journal of Mechanical …, 2022 - Elsevier
Origami is inspiring several fields of knowledge such as engineering, aerospace systems,
medicine, and biomechanics, motivating the creation of novel adaptive and morphing …
medicine, and biomechanics, motivating the creation of novel adaptive and morphing …
A review on origami simulations: From kinematics, to mechanics, toward multiphysics
Origami-inspired systems are attractive for creating structures and devices with tunable
properties, multiple functionalities, high-ratio packaging capabilities, easy fabrication, and …
properties, multiple functionalities, high-ratio packaging capabilities, easy fabrication, and …
折纸结构和折纸超材料动力学研究进展
方虹斌， 吴海平， 刘作林， 张琦炜， 徐鉴 - 力学学报, 2022 - lxxb.cstam.org.cn
折纸结构和折纸超材料由于其无穷的设计空间, 突出的变形状, 变大小, 变拓扑特性,
以及由折叠诱发的超常规力学特性, 在最近几年迅速成为数学, 物理和工程学科的研究前沿和 …
以及由折叠诱发的超常规力学特性, 在最近几年迅速成为数学, 物理和工程学科的研究前沿和 …
High-efficiency chaotic time series prediction based on time convolution neural network
W Cheng, Y Wang, Z Peng, X Ren, Y Shuai… - Chaos, Solitons & …, 2021 - Elsevier
The prediction of chaotic time series is important for both science and technology. In recent
years, this type of prediction has improved significantly with the development of deep …
years, this type of prediction has improved significantly with the development of deep …
Chaotic time series prediction of nonlinear systems based on various neural network models
Y Sun, L Zhang, M Yao - Chaos, Solitons & Fractals, 2023 - Elsevier
This paper discusses the chaos prediction of nonlinear systems using various neural
networks based on the modified substructure data-driven modeling architecture. In the …
networks based on the modified substructure data-driven modeling architecture. In the …
Nonlinear waves in flexible mechanical metamaterials
Flexible mechanical metamaterials are compliant structures engineered to achieve unique
properties via the large deformation of their components. While their static character has …
properties via the large deformation of their components. While their static character has …
Artificial Neural Network for the prediction of fatigue life of a flexible foldable origami antenna with Kresling pattern
M Moshtaghzadeh, A Bakhtiari, E Izadpanahi… - Thin-Walled …, 2022 - Elsevier
In this paper, we present a comprehensive fatigue analysis of a foldable origami helical
antenna with Finite Element Method (FEM) and Artificial Neural Network (ANN). We study …
antenna with Finite Element Method (FEM) and Artificial Neural Network (ANN). We study …
Advances in the dynamics of origami structures and origami metamaterials
F Hongbin, W Haiping, L Zuolin, Z Qiwei… - Chinese Journal of …, 2022 - lxxb.cstam.org.cn
Recently, due to the infinite design space, outstanding capability in changing shape,
dimension, and topology, as well as the folding-induced extraordinary mechanical …
dimension, and topology, as well as the folding-induced extraordinary mechanical …
Data-driven modeling of multi-stable origami structures: extracting the global governing equation and exploring the complex dynamics
In recent years, multi-stable origami structures have garnered increasing attention for their
applications in dynamic scenarios such as robotic arm motions, impact energy absorption …
applications in dynamic scenarios such as robotic arm motions, impact energy absorption …
Artificial Neural Network-based Finite Element method for assessing fatigue and stability of an origami-inspired structure
In this paper, we present a comprehensive study of mechanical characteristics of a
reconfigurable origami-inspired structure using Finite Element and Artificial Neural Network …
reconfigurable origami-inspired structure using Finite Element and Artificial Neural Network …