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.

I am happy to share our paper entitled "Mechanisms of failure of aluminium-based Whipple shields under hypervelocity impact: insights from continuum simulations" published recently in Springer Nature journal Acta Mechanica.

The ASME AMD Division sponsors the Applied Mechanics Division Student Competition in Track 7 and Track 12, generously funded by the Haythornthwaite Foundation. Full-time students working on a project, thesis, or dissertation that is at a readiness for presentation at IMECE are encouraged to apply. 

Jie Ma, Xizhe Zhang, Daochen Yin, Yijie Cai, Zihang Shen, Zhi Sheng, Jiabao Bai, Shaoxing Qu, Shuze Zhu*, Zheng Jia*, Designing ultratough single-network hydrogels with centimeter-scale fractocohesive lengths via inelastic crack blunting, Advanced Materials, 2311795, 2024

Dear iMechanicians,

Let me bring to your attention the following postdoc position in my lab at the University of Oxford:

https://eng.ox.ac.uk/jobs/job-detail/?vacancyID=171348

I am looking for an enthusiastic postdoc to conduct finite element simulations to predict corrosion fatigue. The closing date is March 22.

Prof Emilio Martinez-Paneda

University of Oxford

Organization: School of Aerospace and Mechanical Engineering, University of Oklahoma

Norman, Oklahoma, USA

Start date: Summer or Fall 2024

Descriptions:

Our research group has two projects for Ph.D. students.

The microMechanics of Deformation Research Group (mMOD) in the Department of Materials Science and Engineering at Rutgers University is seeking a Post-Doctoral Associate to perform research under an internal award from the Rutgers TechAdvance program. The goal of the project is to extend a recently developed technique for constructing finite-element-based physics-informed neural network (FE-PINN) surrogate models to nonlinear problems in mechanics of materials (and beyond).

Do you want to understand how digitalization can revolutionize civil engineering structures? Do you want to bridge the gap between academia and industry in your daily work? Are you eager to share your research with our students so that they can make the difference tomorrow? Then you could be the new colleague we are looking for. The Department of Civil and Architectural Engineering of Aarhus University is looking for a visionary Assistant Professor (Tenure Track)/Associate Professor in the area of Digitalization for Structural Engineering.

We have 2 postdoc openings in the field of laser fusion additive manufacturing of metals at Tsinghua University. The candidates are required to have expertise in synchrotron x-ray techs, metal additive manufacturing, electron microscopy (TEM/SEM), grain growth, phase transformation, or micromechanics. This is a two-year appointment with the possibility of renewal. See more information here (in Chinese).

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.