research

cdmHUB invites you to attend the Global Composites Experts Webinar Series. 

Title: Fibrous Shell Approach and 3D Second Gradient Modeling for Textile Composite Draping 

Speaker: Dr.  Philippe Boisse

Time: 12/9, 11AM-12PM EST.

Please go to https://bit.ly/3l6LUgT to register for this webinar.

Dear iMechanica Community, I hope that you find the below work of interest to you - We present a generalised phase field formulation for metallic fatigue, where cyclic deformation is modelled by means of a combined non-linear kinematic/isotropic hardening law. You can check it here: https://doi.org/10.1016/j.cma.2021.114286

Hi all,

We at iDICs (International Digital Image Correlation Society) are thrilled to invite you to join the most recent DVC (Digital Volume Correlation) challenge! The DVC Challenge 2.0 has two sub-challenges. The first part is an interlaboratory study on the temporal stability of laboratory X-ray Computed Tomography systems. The second part is to identify available experimental and synthetic images and develop a standardized set of high-quality and other challenging datasets from different imaging modalities, which will be further used for DVC code assessment.

50 days' free access to the article. Anyone clicking on this link before December 26, 2021 will be taken directly to the final version of the article on ScienceDirect, which they are welcome to read or download. No signup, registration or fees are required

Hi everyone, I am a postdoc at Yale University. I am posting on some of my previous work on fiber networks and heterogeneous materials. We reported that effective stiffness is a concave function of inhomogeneity properties, and effective stiffness becomes smaller with increasing heterogeneity as an example consequence. 

Our new paper on ultrasonic vibration fatigue [a collaboration between 4 universities & 3 countries] is available for free access until  December 21, 2021, 

Wei Gao

Department of Mechanical Engineering, University of Texas at San Antonio

In this journal club, we provide a brief summary on the concept, recent progress and tools of machine learning (ML) potential for atomistic materials modelling. We hope that it could benefit to the readers who are new to this filed and plan to develop their own or use others ML potentials. Comments and disscussions are welcomed. 

Our recent paper on predicting hydrogen damage in FCC steel single crystals. Most important thing about this paper is that the special issue is dedicated to Professor Siegfried Schmauder on his 65th birthday. Happy birthday Professor Schmauder and thanks for all your guidance, support and collaborations throughout my journey which still continues.

Predicting high cycle fatigue life with unified mechanics theory - ScienceDirect