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Modeling and simulation of dynamics in soft robotics: A review of numerical approaches
Purpose of review In this review, we briefly summarize the numerical methods commonly
used for the nonlinear dynamic analysis of soft robotic systems. The underlying mechanical …
used for the nonlinear dynamic analysis of soft robotic systems. The underlying mechanical …
Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology
In recent years, various physics-based contact force models have been proposed for
describing contact/impact phenomena in different engineering domains. However …
describing contact/impact phenomena in different engineering domains. However …
Data-driven modeling for complex contacting phenomena via improved neural networks considering link switches
Recent years saw tremendous developments of data-driven modeling in various
engineering fields. As for the contact modeling between complex surfaces, the utilization of …
engineering fields. As for the contact modeling between complex surfaces, the utilization of …
A mechanistic-based data-driven approach for general friction modeling in complex mechanical system
The effect of friction is widespread around us, and most important projects must consider the
friction effect. To better depict the dynamic characteristics of multibody systems with friction …
friction effect. To better depict the dynamic characteristics of multibody systems with friction …
[HTML][HTML] Exploring Modeling Techniques for Soft Arms: A Survey on Numerical, Analytical, and Data-Driven Approaches
S Liu, H Yu, N Ding, X He, H Liu, J Zhang - Biomimetics, 2025 - mdpi.com
Soft arms, characterized by their compliance and adaptability, have gained significant
attention in applications ranging from industrial automation to biomedical fields. Modeling …
attention in applications ranging from industrial automation to biomedical fields. Modeling …
A rapidly trained DNN model for real-time flexible multibody dynamics simulations with a fixed-time increment
This study presents an efficient fixed-time increment-based approach for a data-driven
analysis of flexible multibody dynamics (FMBD) problems, combining deep neural network …
analysis of flexible multibody dynamics (FMBD) problems, combining deep neural network …
Squeak and rattle analysis of automotive interiors considering contact nonlinearity
T Li, P Li, D Jiang, B Qiu - SAE International Journal of Vehicle Dynamics …, 2023 - sae.org
In order to improve the squeak and rattle (S&R) performance level of automotive interiors,
the contact nonlinear characteristics of structural components need to be considered when …
the contact nonlinear characteristics of structural components need to be considered when …
Soft robot fast simulation via reduced order extended position based dynamics
H Peng, N Li, D Jiang, F Li - Robotics and Autonomous Systems, 2024 - Elsevier
Simulating a soft robot model is challenging because of large deformations and lots of
degrees of freedom. In this study, a novel fast simulation framework for soft robots is created …
degrees of freedom. In this study, a novel fast simulation framework for soft robots is created …
A parametric flexible multibody formulation with an explicit dependency on material properties
Accurate numerical models are pivotal throughout the design and whole operation life cycle
of a mechanical system. Ideally, such models should be efficient in terms of both their …
of a mechanical system. Ideally, such models should be efficient in terms of both their …
[HTML][HTML] A data-driven reduced-order modeling approach for parameterized time-domain Maxwell's equations
M Yu, K Li - Networks and Heterogeneous Media, 2024 - aimspress.com
This paper proposed a data-driven non-intrusive model order reduction (NIMOR) approach
for parameterized time-domain Maxwell's equations. The NIMOR method consisted of fully …
for parameterized time-domain Maxwell's equations. The NIMOR method consisted of fully …