Efficient numerical modeling of 3D-printed lattice-cell structures using neural networks
Additively manufactured structures can be tailor-made to optimally distribute mechanical
loads while remaining light-weight. To efficiently analyze the locally unique mechanical …
loads while remaining light-weight. To efficiently analyze the locally unique mechanical …
Explainable artificial intelligence for mechanics: physics-explaining neural networks for constitutive models
(Artificial) neural networks have become increasingly popular in mechanics and materials
sciences to accelerate computations with model order reduction techniques and as …
sciences to accelerate computations with model order reduction techniques and as …
An efficient Monte Carlo strategy for elasto-plastic structures based on recurrent neural networks
Abstract The Monte Carlo method is computationally expensive. Especially for reliable
response statistics in the tail region, a large number of samples has to be computed. In this …
response statistics in the tail region, a large number of samples has to be computed. In this …
Development of an elastic material model for BCC lattice cell structures using finite element analysis and neural networks approaches
Lattice cell structures (LCS) are being investigated for applications in sandwich composites.
To obtain an optimized design, finite element analysis (FEA)-based computational approach …
To obtain an optimized design, finite element analysis (FEA)-based computational approach …
Offshore Wind Turbine Tower Design and Optimization: A Review and AI-Driven Future Directions
JA Ribeiro, BA Ribeiro, F Pimenta… - ar** equivalent solid model for lattice cell structure using numerical approaches
TAA Al-wattar - 2020 - corescholar.libraries.wright.edu
Lattice cell structures (LCS) are the engineered porous structures that are composed of
periodic unit cells in three dimensions. Such structures have many scientific and …
periodic unit cells in three dimensions. Such structures have many scientific and …
Strut diameter uncertainty prediction by deep neural network for additively manufactured lattice structures
Additive manufacturing (AM) introduces geometric uncertainties on the fabricated strut
members of lattice structures. These uncertainties result in deviations between the modeled …
members of lattice structures. These uncertainties result in deviations between the modeled …
Mechanics 4.0: Artificial Intelligence for the Analysis of Mechanical Systems
The digitization of industry in the context of “Industry 4.0” comprises four pillars: networking,
information transparency, decentralized decision-making, and technical assistance …
information transparency, decentralized decision-making, and technical assistance …