research

The multiplicative decomposition model is widely employed for predicting residual stresses and morphologies of biological tissues due to growth. However, it relies on the assumption that the tissue is initially in a stress-free state, which conflicts with the observations that any growth state of a biological tissue is under a significant level of residual stresses that helps to maintain its ideal mechanical conditions.

Abstract

A new class of algorithms for solving nonlinear structural dynamical problems are derived in the present paper, as being based on optimal-feedback-accelerated Picard iteration, wherein the solution vectors for the displacements and velocities at any time in a finitely large time interval are corrected by a weighted (with a matrix) integral of the error. We present 3 approximations to solve the Euler-Lagrange equations for the optimal weighting functions; thus we present 3 algorithms denoted as Optimal-Feedback-Accelerated Picard Iteration (OFAPI) algorithms-1, 2, 3.

http://dx.doi.org/10.1039/C8TB00819A

Fresh in 2018 Journal of Materials Chemistry B HOT Papers! We present integrative experimental and computational understanding of the thermal response in adaptive hydrogels tailor-made from silk-elastin-like proteins that are tunable and responsive to multiple simultaneous external stimuli.

 Published in Advanced Science: https://onlinelibrary.wiley.com/doi/full/10.1002/advs.201800239

In this paper, we present some analytical solutions for the stress fields of nonlinear anisotropic solids with distributed line and point defects.