Results 71 to 80 of about 509 (210)

A node-based smoothed finite element method (NS-FEM) for analysis of Reissner-Mindlin plates

, 2017
A node-based smoothed finite element method (NS-FEM) for analysis of Reissner-Mindlin ...
Nguyen-Thoi, T., Rabczuk, Timon, Nguyen-Xuan, Hung, Bordas, Stéphane Pierre Alain, Nguyen-Thanh, Nhon (Dr.-Ing.)   +4 more
core  

An ultra-accurate hybrid smoothed finite element method for piezoelectric problem

, 2015
An ultra-accurate hybrid smoothed finite element method (HS-FEM) is presented for the analysis of piezoelectric structures, in which the electrostatic equations governing piezoelectric problem are solved numerically with simplest triangular elements in ...
Xu, Xu, Chen, L., Li, Eric, Li, Eric; id_orcid, He, Z. C., Liu, G. R., Li, Bing   +6 more
core   +1 more source

A Steerable and Expandable Magnetic Aspiration Catheter for Enhanced Aspiration Thrombectomy

Advanced Intelligent Systems, EarlyView.
This article presents a novel magnetic aspiration catheter (MAC) that can be both actively steered and undergo distal‐end expansion via externally applied magnetic fields. The MAC facilitates precise branch selection and enhances clot engagement by improving endovascular navigation and aspiration efficiency. Phantom experiments validate its feasibility
Hakjoon Lee, Xiao Dong, Dong‐in Kim, A. M. Masum Bulbul Chowdhury, Nader Latifi Gharamaleki, Jin‐young Kim, Sung Won Youn, Hongsoo Choi   +7 more
wiley   +1 more source

An ABAQUS Implementation of the Cell-Based Smoothed Finite Element Method (CS-FEM)

, 2019
The smoothed finite element method (S-FEM) has been developed recent years and is increasingly used for stress analysis for engineering design of structures, due to its high computational accuracy and outstanding robustness in against mesh distortion ...
G. R. Liu, X. Han, S. Y. Duan, X. Cui
core   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

A Review of the Intelligent Optimization and Decision in Plastic Forming. [PDF]

Materials (Basel), 2022
Tang X, Wang Z, Deng L, Wang X, Long J, Jiang X, Jin J, Xia J.   +7 more
europepmc   +1 more source

A contact analysis approach based on linear complementarity formulation using smoothed finite element methods

, 2013
Based on the subdomain parametric variational principle (SPVP), a contact analysis approach is formulated in the incremental form for 2D solid mechanics problems discretized using only triangular elements.
Zhang, G. Y., Huang, Y. N., Zong, Z., Li, Y., Liu, G. R.   +4 more
core   +1 more source

Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding

Advanced Intelligent Systems, EarlyView.
Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga, Panagiotis Kalozoumis, Panagiotis Vartholomeos, Carlo Seneci, Kawal Rhode, Christos Bergeles   +5 more
wiley   +1 more source

An improved modal analysis for three-dimensional problems using face-based smoothed finite element method

, 2013
In this work, we further extended the face-based smoothed finite element method (FS-FEM) for modal analysis of three-dimensional solids using four-node tetrahedron elements.
Zhong, Zhihua, Zhang, Guiyong, Li, Guangyao, Li, Eric; id_orcid, He, Zhicheng, Cheng, Aiguo   +5 more
core   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source