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检索条件"主题词=Data-driven computing"
31 条 记 录,以下是11-20 订阅
排序:
Simple heuristic for data-driven computational elasticity with material data involving noise and outliers: a local robust regression approach
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JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS 2018年 第3期35卷 1085-1101页
作者: Kanno, Yoshihiro Univ Tokyo Math & Informat Ctr Hongo 7-3-1 Tokyo 1138656 Japan
data-driven computing in applied mechanics utilizes the material data set directly, and hence is free from errors and uncertainties stemming from the conventional material modeling. For data-driven computing in elasti... 详细信息
来源: 评论
data-driven micromorphic mechanics for materials with strain localization
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COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 2024年 429卷
作者: Ulloa, Jacinto Stainier, Laurent Ortiz, Michael Andrade, Jose E. CALTECH Div Engn & Appl Sci Pasadena CA 91125 USA Nantes Univ GeM CNRS Ecole Cent NantesUMR 6183 F-44000 Nantes France
This paper explores the role of generalized continuum mechanics, and the feasibility of model-free data-driven computing approaches thereof, in solids undergoing failure by strain localization. Specifically, we set fo... 详细信息
来源: 评论
A kernel method for learning constitutive relation in data-driven computational elasticity
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JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS 2021年 第1期38卷 39-77页
作者: Kanno, Yoshihiro Univ Tokyo Math & Informat Ctr Hongo 7-3-1 Tokyo 1138656 Japan
For numerical simulation of elastic structures, data-driven computational approaches attempt to use a data set of material responses, without resorting to conventional modeling of the material constitutive equation. I... 详细信息
来源: 评论
Mixed-integer programming formulation of a data-driven solver in computational elasticity
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OPTIMIZATION LETTERS 2019年 第7期13卷 1505-1514页
作者: Kanno, Yoshihiro Univ Tokyo Math & Informat Ctr Hongo 7-3-1 Tokyo 1138656 Japan
This paper presents a mixed-integer quadratic programming formulation of an existing data-driven approach to computational elasticity. This formulation is suitable for application of a standard mixed-integer programmi... 详细信息
来源: 评论
Model-free data-driven simulation of inelastic materials using structured data sets, tangent space information and transition rules
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COMPUTATIONAL MECHANICS 2022年 第2期70卷 425-435页
作者: Ciftci, Kerem Hackl, Klaus Ruhr Univ Bochum Inst Mech Mat D-44801 Bochum Germany
Model-free data-driven computational mechanics replaces phenomenological constitutive functions by numerical simulations based on data sets of representative samples in stress-strain space. The distance of strain and ... 详细信息
来源: 评论
A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications
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BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2017年 19卷 49-64页
作者: James, Conrad D. Aimone, James B. Miner, Nadine E. Vineyard, Craig M. Rothganger, Fredrick H. Carlson, Kristofor D. Mulder, Samuel A. Draelos, Timothy J. Faust, Aleksandra Marinella, Matthew J. Naegle, John H. Plimpton, Steven J. Sandia Natl Labs POB 5800 Albuquerque NM 87185 USA Google X Mountain View CA USA
Biological neural networks continue to inspire new developments in algorithms and microelectronic hardware to solve challenging data processing and classification problems. Here, we survey the history of neural-inspir... 详细信息
来源: 评论
THE RANDOM FEATURE MODEL FOR INPUT-OUTPUT MAPS BETWEEN BANACH SPACES
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SIAM JOURNAL ON SCIENTIFIC computing 2021年 第5期43卷 A3212-A3243页
作者: Nelsen, Nicholas H. Stuart, Andrew M. CALTECH Div Engn & Appl Sci Pasadena CA 91125 USA
Well known to the machine learning community, the random feature model is a parametric approximation to kernel interpolation or regression methods. It is typically used to approximate functions mapping a finite-dimens... 详细信息
来源: 评论
data-driven confidence bound for structural response using segmented least squares: a mixed-integer programming approach
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JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS 2024年 第3期41卷 1501-1534页
作者: Kanno, Yoshihiro Univ Tokyo Math & Informat Ctr Hongo 7-3-1 Tokyo 1138656 Japan
As one of data-driven approaches to computational mechanics in elasticity, this paper presents a method finding a bound for structural response, taking uncertainty in a material data set into account. For construction... 详细信息
来源: 评论
Quality Evaluation of Rock Mass Using RMR14 Based on Multi-Source data Fusion
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SENSORS 2021年 第21期21卷 7108-7108页
作者: Zhang, Qi Jiang, Qing Li, Yuanhai Wang, Ning He, Lei Southeast Univ Sch Civil Engn Nanjing 211189 Peoples R China China Univ Min Technol State Key Lab GeoMech & Deep Underground Engn Xuzhou 221116 Jiangsu Peoples R China Southeast Univ Inst Future Underground Space Nanjing 211189 Peoples R China
The uncertainties in quality evaluations of rock mass are embedded in the underlying multi-source data composed by a variety of testing methods and some specialized sensors. To mitigate this issue, a proper method of ... 详细信息
来源: 评论
data-driven multiscale method for composite plates
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COMPUTATIONAL MECHANICS 2022年 第5期70卷 1025-1040页
作者: Yan, Wei Huang, Wei Huang, Qun Yang, Jie Giunta, Gaetano Belouettar, Salim Hu, Heng Wuhan Univ Sch Civil Engn 8 South Rd East Lake Wuhan 430072 Peoples R China Luxembourg Inst Sci & Technol 5 Ave Hauts Fourneaux L-4362 Esch Sur Alzette Luxembourg
Composite plates are widely used in many engineering fields such as aerospace and automotive. An accurate and efficient multiscale modeling and simulation strategy is of paramount importance to improve design and manu... 详细信息
来源: 评论