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Nature, 2021
Mechanical mechanisms have been used to process information for millennia, with famous examples ranging from the Antikythera mechanism of the Ancient Greeks to the analytical machines of Charles Babbage. More recently, electronic forms of computation and information processing have overtaken these mechanical forms, owing to better potential for ...
Hiromi Yasuda +6 more
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Mechanical mechanisms have been used to process information for millennia, with famous examples ranging from the Antikythera mechanism of the Ancient Greeks to the analytical machines of Charles Babbage. More recently, electronic forms of computation and information processing have overtaken these mechanical forms, owing to better potential for ...
Hiromi Yasuda +6 more
openaire +2 more sources
A physics-informed GAN Framework based on Model-free Data-Driven Computational Mechanics
Computer Methods in Applied Mechanics and Engineering, 2023Model-free data-driven computational mechanics, first proposed by Kirchdoerfer and Ortiz, replace phenomenological models with numerical simulations based on sample data sets in strain-stress space.
Kerem Ciftci, K. Hackl
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A New Uncertainty Analysis-Based Framework for Data-Driven Computational Mechanics
Journal of applied mechanics, 2021In this article, a new uncertainty analysis-based framework for data-driven computational mechanics (DDCM) is established. Compared with its practical classical counterpart, the distinctive feature of this framework is that uncertainty analysis is ...
Xu Guo +3 more
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Computer Design in Computational Mechanics
2009 International Conference on Computing, Engineering and Information, 2009The computational mechanics suffers a lack of modifiability and interactivity, which leads to neglecting its potential to help engineers in solving problems faster and cheaper. The fully integration of computer design in computational mechanics will tackle this problems, by means of providing the capability to explore design variations within an ...
Serna S.P., Stork A.
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Computer Methods in Applied Mechanics and Engineering, 2020
Many natural and engineered granular materials consist mainly of irregular-shaped non-spherical particles. In this work, a novel Fourier series-based Discrete Element Method (FS-DEM) is developed for the computational mechanics of irregular-shaped ...
Z. Lai, Qiūshí Chén, Linchong Huang
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Many natural and engineered granular materials consist mainly of irregular-shaped non-spherical particles. In this work, a novel Fourier series-based Discrete Element Method (FS-DEM) is developed for the computational mechanics of irregular-shaped ...
Z. Lai, Qiūshí Chén, Linchong Huang
semanticscholar +1 more source
Annual Review of Materials Research, 2002
▪ Abstract Computational mechanics comprises all types of computer modeling of the mechanical behavior of materials. In this contribution we concentrate on new developments in modeling based on the finite element method (FEM), especially deformation analyses based on numerical homogenization techniques (self-consistent embedding procedure, matricity ...
Artur Portela, Abdellatif Charafi
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▪ Abstract Computational mechanics comprises all types of computer modeling of the mechanical behavior of materials. In this contribution we concentrate on new developments in modeling based on the finite element method (FEM), especially deformation analyses based on numerical homogenization techniques (self-consistent embedding procedure, matricity ...
Artur Portela, Abdellatif Charafi
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Artificial intelligence for partial differential equations in computational mechanics: A review
arXiv.orgIn recent years, Artificial intelligence (AI) has become ubiquitous, empowering various fields, especially integrating artificial intelligence and traditional science (AI for Science: Artificial intelligence for science), which has attracted widespread ...
Yizheng Wang +11 more
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Variational framework for distance-minimizing method in data-driven computational mechanics
Computer Methods in Applied Mechanics and Engineering, 2020A variational framework for the distance-minimizing data-driven computing method is proposed. We provide a mathematical view on data-driven boundary value problems as well as the associated mathematical tools.
L. T. K. Nguyen +2 more
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