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Direct 4D printing for double-curvature and multimodal morphing

Submitted by Joshua on

Most 4D printings utilize 1D structural deformation — bending and coiling to morph a flat shape by controlling only a single curvature, limiting the realization of complex 3D curved surfaces with two curvatures. We quantitatively analyze the morphing of a 2D plate into doubly curved surfaces on a direct 4D printing of a single isotropic material employing anisotropy of shape memory effect during the extrusion-based printing.

A compatible mixed finite element method for large deformation analysis of solids in spatial configuration

Submitted by M. Jahanshahi on

In this work, a new mixed finite element formulation is presented for the analysis of two-dimensional compressible solids in finite strain regime. A three-field Hu-Washizu functional, with displacement, displacement gradient and stress tensor considered as independent fields, is utilized to develop the formulation in spatial configuration. Certain constraints are imposed on displacement gradient and stress tensor so that they satisfy the required continuity conditions across the boundary of elements.

The Universal Program of Nonlinear Hyperelasticity

Submitted by arash_yavari on

For a given class of materials, universal deformations are those that can be maintained in the absence of body forces by applying only boundary tractions.  Universal deformations play a crucial role in nonlinear elasticity.

Multiscale modeling of viscoelastic behavior of unidirectional composite laminates and deployable structures

Submitted by Jinxiong Zhou on

Due to the inherent viscoelasticity of constituent matrix and the possibility of long-term storage, space deployable structures made of composites are likely to exhibit relaxation in the stored strain energy, which may degrade their deployment performance. This paper presents a bottom-up finite element based multiscale computational strategy that bridges the experimentally measurable properties of constituent fibers and matrix to numerical predictions of viscoelastic behavior of composite laminates and general shell structures.

Machine learning based prediction of the electronic structure of quasi-one-dimensional materials under strain

Submitted by Shashank Pathrudkar on

I am happy to share our recent work, that has been published in the Physical Review B journal. I would be happy to share the paper with anyone interested, let me know if you cannot access the paper otherwise.

 

PRB link: https://journals.aps.org/prb/pdf/10.1103/PhysRevB.105.195141

Arxiv Link: https://arxiv.org/abs/2202.00930