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Antonio Papangelo's picture

Friction in Rolling a Cylinder on or Under a Viscoelastic Substrate with Adhesion

In classical experiments, it has been found that a rigid cylinder can roll both on and under an inclined rubber plane with a friction force that depends on a power law of velocity, independent of the sign of the normal force. Further, contact area increases significantly with velocity with a related power law.

Jinxiong Zhou's picture

Optimizing deployment dynamics of composite tape-spring hinges

The composite tape-spring hinge (CTSH) is a lightweight structural connector widely employed in space structures, including spacecraft and satellites, due to its high specific strength and stiffness. Introducing cutouts enables CTSH to possess folding and deployment capability, while optimizing the cutouts finely to optimize the performance of CTSH. However, the interaction between cutout size and the dynamic deployment of CTSH is a novel topic.

Jinxiong Zhou's picture

A mesoscale computational approach to predict ABD matrix of thin woven composites

The ABD matrix is a fundamental method to characterize the overall stiffness behavior of laminated composite structures. Although classical laminate theory has been widely used, it has limitations in predicting the ABD matrix for woven composites. To address this issue, this paper presents a mesoscale homogenization approach aimed at computing the ABD matrix for thin woven composites accurately. The mesoscale representative volume element (RVE) of the woven composite is generated using TexGen and imposed with periodic boundary conditions to enforce the Kirchhoff thin plate assumption.

Rui Huang's picture

Best Paper Award for Young Investigators - Int. J. Solids & Structures

The International Journal of Solids and Structures is pleased to institute an annual Best Paper Award for Young Investigators. The award will be given annually to a paper published in the previous year whose principal or corresponding author is under the age of 38 or within 10 years of the completion of their PhD.

Wenbin Yu's picture

Common Misconceptions on Rules of Mixtures

Please pardon me if I am preaching to the choir here. Rules of mixtures (ROM) are very simple mechanics models. Everybody on this site has a very good understanding of it. However, confusion and mistakes on ROM constantly appear in textbooks, journal articles, online learning materials, etc. See attached two wiki articles. The major confusing point is that vf*Ef+vm*Em is derived from the isostrain assumption and the upper bound. Both statements are incorrect. There might be two main reasons contributed to this mistake/confusion.

Issues with normal and cohesive surface contact definition for model with Johnson-Cook material model in Abaqus

Choose a channel featured in the header of iMechanica: 

I am modelling a 3D solid model of simply supported sandwich plate with foam core, the core is modelled as Johnson-Cook material model with damage definitions, so the element deletion can be acheived. I tried using tie constraints between the core and face sheets, but due to the deletion of elements in the core at the interface, the face sheet is penetrating into the core beyond the supports. I tried using nodal surfaces and surface interactions, which avoids this issue but after defining the cohesive propeties for the interaction, the analysis is shutting abruply. 

Fan Xu's picture

A solid-shell model of hard-magnetic soft materials

Hard-magnetic soft materials (HMSMs) consisting of an elastomer matrix filled with high remnant magnetic particles can exhibit flexible programmability and rapid shape changing under non-contact activation, showing promising potential applications in soft robotics, biomedical devices and flexible electronics. Precise predictions of large deformations of hard-magnetic soft materials would be a key for relevant applications.

Mirkhalaf's picture

Deep-learning model using a small dataset

One the main challenges of developing data-driven models is the data-hungry nature of Artificial Neural Networks (ANNs). In our recent paper, we introduced a data augmentation approach to expand a small original dataset without conducting extra expensive high-fidelity simulations. We then used the original and augmented datasets for developing ANN models for non-linear path dependent composites. The obtained results showed the great impact of the data augmentation approach on the accuracy of the data-driven models.

Fan Xu's picture

Morphomechanics of growing curled petals and leaves

Petals and leaves are usually curled and exhibit intriguing morphology evolution upon growth, which contributes to their important biological functions. To understand the underlying morphoelastic mechanism and to determine the crucial factors that govern the growth-induced instability patterning in curved petals and leaves, we develop an active thin shell model that can describe variable curvatures and spontaneous growth, within the framework of general differential geometry based on curvilinear coordinates and hyperelastic deformation theory.

Wenbin Yu's picture

Claim your travel awards for IMECE

If you have NSF-funded projects, please encourage your students to submit posters to ASME IMECE topic 16-1 and 16-2 (REU only)! NSF provides 30+ travel awards ($1200 each) to cover student travel cost, plus chances to win poster competition awards.

Juner Zhu's picture

Journal Club for February 2024: Mechanics in Solid-State Batteries: Mechanical Properties, Interfacial Failure, and Multiphysics Modeling

Journal Club for February 2024: Mechanics in Solid-State Batteries: Mechanical Properties, Interfacial Failure, and Multiphysics Modeling

Wei Li=, Ruqing Fang=, Junning Jiao, Juner Zhu*

Department of Mechanical and Industrial Engineering, Northeastern University

* Corresponding author:
= Authors with equal contributions to this article

1. General introduction

Constitutive theory for highly entangled hydrogels by considering the molecular friction

By considering the frictional sliding of randomly distributed entanglements within the polymer network upon mechanical stretches, we develop a constitutive theory to describe the large stretch behaviors of highly entangled hydrogels. 



mohsenzaeem's picture

Atomistic simulation assisted error-inclusive Bayesian machine learning for probabilistically unraveling the mechanical properties of solidified metals

Solidification phenomenon has been an integral part of the manufacturing processes of metals, where the quantification ofstochastic variations and manufacturing uncertainties is critically important. Accurate molecular dynamics (MD) simulations ofmetal solidification and the resulting properties require excessive computational expenses for probabilistic stochastic analyseswhere thousands of random realizations are necessary.

mrbuche's picture

Two recent papers using the same asymptotic approach

Please consider reading our two recent papers: (1) "Modeling single-molecule stretching experiments using statistical thermodynamics" in Physical Review E, and (2) "Statistical mechanical model for crack growth" also in Physical Review E.


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