Recent advances and applications of machine learning in experimental solid mechanics: A review

H Jin, E Zhang, HD Espinosa - Applied …, 2023 - asmedigitalcollection.asme.org
For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …

Rupture of 3D-printed hyperelastic composites: Experiments and phase field fracture modeling

J Russ, V Slesarenko, S Rudykh, H Waisman - Journal of the Mechanics …, 2020 - Elsevier
In this work, we study the failure behavior of 3D-printed polymer composites undergoing
large deformations. Experimental results are compared to numerical simulations using the …

[HTML][HTML] Probabilistic deep learning for real-time large deformation simulations

S Deshpande, J Lengiewicz, SPA Bordas - Computer Methods in Applied …, 2022 - Elsevier
For many novel applications, such as patient-specific computer-aided surgery, conventional
solution techniques of the underlying nonlinear problems are usually computationally too …

Bayesian inversion for unified ductile phase-field fracture

N Noii, A Khodadadian, J Ulloa, F Aldakheel… - Computational …, 2021 - Springer
The prediction of crack initiation and propagation in ductile failure processes are
challenging tasks for the design and fabrication of metallic materials and structures on a …

Bayesian inversion with open-source codes for various one-dimensional model problems in computational mechanics

N Noii, A Khodadadian, J Ulloa, F Aldakheel… - … Methods in Engineering, 2022 - Springer
The complexity of many problems in computational mechanics calls for reliable
programming codes and accurate simulation systems. Typically, simulation responses …

A novel analysis-prediction approach for geometrically nonlinear problems using group method of data handling

TN Nguyen, S Lee, H Nguyen-Xuan, J Lee - Computer Methods in Applied …, 2019 - Elsevier
A novel analysis-prediction (ANP) approach for geometrically nonlinear problems of solid
mechanics is for the first time proposed in this paper. The key concept of this approach is:(1) …

[HTML][HTML] Surface and honeycomb core damage in adhesively bonded aluminum sandwich panels subjected to low-velocity impact

M Sun, D Wowk, C Mechefske, E Alexander… - Composites Part B …, 2022 - Elsevier
The effect of the adhesive geometry on the impact damage of adhesively bonded aluminum
sandwich panels was studied experimentally and numerically. Both the physical testing and …

Multiscale modeling of material failure: Theory and computational methods

PR Budarapu, X Zhuang, T Rabczuk… - Advances in applied …, 2019 - Elsevier
Material behavior and microstructure geometries at small scales strongly influence the
physical behavior at higher scales. For example, defects like cracks and dislocations evolve …

From digital control to digital twins in medicine: A brief review and future perspectives

R Eftimie, A Mavrodin, SPA Bordas - Advances in Applied Mechanics, 2023 - Elsevier
The last few decades have been dominated by the need for digital control of various
processes in biology and medicine. Advances in artificial intelligence (AI) over the last few …

[HTML][HTML] Magneto-deformation and transverse elastic waves in hard-magnetic soft laminates

Q Zhang, S Rudykh - Mechanics of Materials, 2022 - Elsevier
We study the magneto-mechanical behavior of periodic laminates made of hard-magnetic
active elastomers (HMAEs). We formulate the amended free-energy function for HMAEs, and …