supported by the National Natural Science Foundation of China(Nos.12072105 and 11932006)。
Recently,numerous studies have demonstrated that the physics-informed neural network(PINN)can effectively and accurately resolve hyperelastic finite deformation problems.In this paper,a PINN framework for tackling hyp...
supported by the Natural Science Foundation of Chongqing(CSTB2022NSCQ-MSX0296);Strategic Priority Research Program of the Chinese Academy of Sciences(XDC06030102);National Key R&D Program of China(2020YFA0713603);National Natural Science Foundation of China(12271409).
Constitutive modeling of heterogeneous hyperelastic materials is still a challenge due to their complex and variable microstructures.We propose a multiscale datadriven approach with a hierarchical learning strategy fo...
This work was supported by the National Natural Science Foundation of China(Grant Nos.11672069,11872145,11872159,12172086,and 12101106).
Nonlinear vibration with axisymmetric 3:1 internal resonance is investigated for an incompressible neo-Hookean hyperelastic cylindrical shell under both axial and radial harmonic excitations.A full nonlinear strain-di...
the Research Project of Traditional Chinese Medicine of Shanghai Health Committee(No.2020JP012);the Pujiang Talents’Project of Shanghai(No.20PJ1406600);the National Natural Science Foundation of China(No.61673271)。
This paper proposes a new type of radial expansion mechanism by adopting the scissor type telescopic design for intestinal robot to meet the requirements of the intestinal robot’s movement and residence in the intest...
A new numerical approach is presented to compute the large deformations of shell-type structures made of the Saint Venant-Kirchhoff and Neo-Hookean materials based on the seven-parameter shell theory.A work conjugate ...
the National Key Research and Development Program of China(2018YFB1502501);the National Natural Science Foundation of China(52003024).
Nonlinear finite element analysis is widely used for structural optimization of the design and the reliability analysis of complex elastomeric components.However,high-precision numerical results cannot be achieved wit...
This work was supported by the National Natural Science Foundation of China(Nos.11702059 and 11872145);the Guiding Plan of Natural Science Foundation of Liaoning Province(No.2019-ZD-0183).
In this paper,the nonlinear dynamic behaviors of a hyperelastic cylindrical membrane composed of the incompressible Ogden material are examined,where the membrane is subjected to uniformly distributed radial periodic ...
The purpose of this paper is to demonstrate the applicability of Particle Swarm Optimization algorithm to determine material parameters in incompressible isotropic elastic strain-energy functions using combined tensio...
National Natural Science Foundation of China,Grant/Award Number:11772109。
Dozens of hyperelastic models have been formulated and have been extremely handy in understanding the complex mechanical behavior of materials that exhibit hyperelastic behavior(characterized by large nonlinear elasti...