Modeling finite-strain plasticity using physics-informed neural network and assessment of the network performance
Physics-informed neural networks (PINN) can solve partial differential equations (PDEs) by
encoding the mathematical information explicitly into the loss functions. In the context of …
encoding the mathematical information explicitly into the loss functions. In the context of …
Insight into heart-tailored architectures of hydrogel to restore cardiac functions after myocardial infarction
X Chen, L Zhu, X Wang, J Xiao - Molecular Pharmaceutics, 2022 - ACS Publications
With permanent heart muscle injury or death, myocardial infarction (MI) is complicated by
inflammatory, proliferation and remodeling phases from both the early ischemic period and …
inflammatory, proliferation and remodeling phases from both the early ischemic period and …
[HTML][HTML] Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements
S Niu, V Srivastava - International Journal of Solids and Structures, 2022 - Elsevier
Accurate quantitative characterization of crack length, location, and orientation are critical for
the safety assessment of load bearing structures to avoid catastrophic structural failures …
the safety assessment of load bearing structures to avoid catastrophic structural failures …
A large deformation model for quasi-static to high strain rate response of a rate-stiffening soft polymer
Polyborosiloxane (PBS) is an important rate-stiffening soft polymer with dynamic, reversible
crosslinks used in applications ranging from self-healing sensing and actuation to body and …
crosslinks used in applications ranging from self-healing sensing and actuation to body and …
Ultrasound classification of interacting flaws using finite element simulations and convolutional neural network
S Niu, V Srivastava - Engineering with Computers, 2022 - Springer
Interacting flaws refer to conditions when two flaws are in close proximity and have the
potential to interact with each other to significantly reduce the integrity of a structure …
potential to interact with each other to significantly reduce the integrity of a structure …
Constitutive modeling for hydrogel composites with arbitrary fiber distribution
X Nian, Q Yang, W Rao - Composite Structures, 2023 - Elsevier
In this work, a constitutive model is developed to consider the effect of arbitrary fiber
distribution on the swelling and tensile deformations of fiber-reinforced hydrogels. In the …
distribution on the swelling and tensile deformations of fiber-reinforced hydrogels. In the …
Hygroscopic damage of fiber–matrix interface in unidirectional composites: A computational approach
The mechanical properties of fiber-reinforced composites are significantly affected by
hygroscopic exposure. Recent experimental findings reveal that the diffusion of water …
hygroscopic exposure. Recent experimental findings reveal that the diffusion of water …
[HTML][HTML] A higher-order morphoelastic beam model for tubes and filaments subjected to biological growth
J Zhong, V Srivastava - International Journal of Solids and Structures, 2021 - Elsevier
Slender structures, in which width and thickness are much smaller than the length, are
common in the natural world, such as wheat straws, bean sprouts, and biofilaments. Due to …
common in the natural world, such as wheat straws, bean sprouts, and biofilaments. Due to …
A machine learning method to characterize the crack length and position in high-density polyethylene using ultrasound
High-density polyethylene (HDPE) is a semi-crystalline polymer used in several critical
applications, ranging from cooling water pipelines in nuclear power plants and natural gas …
applications, ranging from cooling water pipelines in nuclear power plants and natural gas …
Role of coupled electrochemistry and stress on the Li-anode instability: A continuum approach
We present a coupled mechanistic approach that elucidates the intricate interplay between
stress and electrochemistry, enabling the prediction of the onset of instabilities in Li-metal …
stress and electrochemistry, enabling the prediction of the onset of instabilities in Li-metal …