Contact mechanics for dynamical systems: a comprehensive review
P Flores - Multibody System Dynamics, 2022 - Springer
This work reviews the main techniques to model dynamical systems with contact-impact
events. Regularized and non-smooth formulations are considered, wherein the fundamental …
events. Regularized and non-smooth formulations are considered, wherein the fundamental …
Multibody dynamics and control using machine learning
Artificial intelligence and mechanical engineering are two mature fields of science that
intersect more and more often. Computer-aided mechanical analysis tools, including …
intersect more and more often. Computer-aided mechanical analysis tools, including …
Spiking neural networks for nonlinear regression
A Henkes, JK Eshraghian… - Royal Society Open …, 2024 - royalsocietypublishing.org
Spiking neural networks (SNN), also often referred to as the third generation of neural
networks, carry the potential for a massive reduction in memory and energy consumption …
networks, carry the potential for a massive reduction in memory and energy consumption …
A compendium of contact force models inspired by Hunt and Crossley's cornerstone work
The selection of the contact force model plays a crucial role in the modeling and analysis of
dynamical systems. The seminal work by Hunt and Crossley, published in 1975, is one of …
dynamical systems. The seminal work by Hunt and Crossley, published in 1975, is one of …
Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions
Rolling bearings are important components in mechanical, civil, and aerospace
engineering. The practical working conditions of rolling bearings are complex; hence, fault …
engineering. The practical working conditions of rolling bearings are complex; hence, fault …
Dynamic research on winding and capturing of tensegrity flexible manipulator
N Song, M Zhang, F Li, Z Kan, J Zhao… - Mechanism and Machine …, 2024 - Elsevier
With the rapid development of social intelligence, flexible manipulator has become a typical
representative of the intelligent era. However, due to the strong nonlinearity brought about …
representative of the intelligent era. However, due to the strong nonlinearity brought about …
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 …
多体系统碰撞动力学中接触力模型的研究进展
王庚祥， 马道林， 刘洋， 刘才山 - 力学学报, 2022 - lxxb.cstam.org.cn
接触碰撞行为作为大自然与多体系统中的常见现象, 其接触力模型对于多体系统的碰撞行为机理
研究与性能预测至关重要. 静态弹塑性接触模型与考虑能量耗散的连续接触力模型是研究接触 …
研究与性能预测至关重要. 静态弹塑性接触模型与考虑能量耗散的连续接触力模型是研究接触 …
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 …