Journal articles on the topic 'Data-driven model order reduction'
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Nagy, Peter, and Marco Fossati. "Adaptive Data-Driven Model Order Reduction for Unsteady Aerodynamics." Fluids 7, no. 4 (April 6, 2022): 130. http://dx.doi.org/10.3390/fluids7040130.
Full textGosea, Ion Victor, and Athanasios C. Antoulas. "Data-driven model order reduction of quadratic-bilinear systems." Numerical Linear Algebra with Applications 25, no. 6 (July 22, 2018): e2200. http://dx.doi.org/10.1002/nla.2200.
Full textShah, Aarohi, and Julian J. Rimoli. "Smart parts: Data-driven model order reduction for nonlinear mechanical assemblies." Finite Elements in Analysis and Design 200 (March 2022): 103682. http://dx.doi.org/10.1016/j.finel.2021.103682.
Full textSarna, Neeraj, and Peter Benner. "Data-Driven model order reduction for problems with parameter-dependent jump-discontinuities." Computer Methods in Applied Mechanics and Engineering 387 (December 2021): 114168. http://dx.doi.org/10.1016/j.cma.2021.114168.
Full textPierquin, A., T. Henneron, and S. Clenet. "Data-Driven Model-Order Reduction for Magnetostatic Problem Coupled With Circuit Equations." IEEE Transactions on Magnetics 54, no. 3 (March 2018): 1–4. http://dx.doi.org/10.1109/tmag.2017.2771358.
Full textPeng, Haijun, Ningning Song, and Ziyun Kan. "Data-driven model order reduction with proper symplectic decomposition for flexible multibody system." Nonlinear Dynamics 107, no. 1 (November 6, 2021): 173–203. http://dx.doi.org/10.1007/s11071-021-06990-3.
Full textKim, Hyejin, Haeseong Cho, Sihun Lee, SangJoon Shin, and Haedeong Kim. "Development of an Efficient Nonlinear Structural Analysis Using Data-driven Model Order Reduction." Transactions of the Korean Society for Noise and Vibration Engineering 31, no. 6 (December 20, 2021): 604–13. http://dx.doi.org/10.5050/ksnve.2021.31.6.604.
Full textGosea, I. V., M. Petreczky, and A. C. Antoulas. "Data-Driven Model Order Reduction of Linear Switched Systems in the Loewner Framework." SIAM Journal on Scientific Computing 40, no. 2 (January 2018): B572—B610. http://dx.doi.org/10.1137/17m1120233.
Full textSpinosa, Angelo Giuseppe, Arturo Buscarino, Luigi Fortuna, Matteo Iafrati, and Giuseppe Mazzitelli. "Data-driven order reduction in Hammerstein–Wiener models of plasma dynamics." Engineering Applications of Artificial Intelligence 100 (April 2021): 104180. http://dx.doi.org/10.1016/j.engappai.2021.104180.
Full textCasciati, Fabio, and Lucia Faravelli. "Sensor placement driven by a model order reduction (MOR) reasoning." Smart Structures and Systems 13, no. 3 (March 25, 2014): 343–52. http://dx.doi.org/10.12989/sss.2014.13.3.343.
Full textZhang, Yi, Yi-Fei Pu, Jin-Rong Hu, Yan Liu, Qing-Li Chen, and Ji-Liu Zhou. "Efficient CT Metal Artifact Reduction Based on Fractional-Order Curvature Diffusion." Computational and Mathematical Methods in Medicine 2011 (2011): 1–9. http://dx.doi.org/10.1155/2011/173748.
Full textBuchfink, Patrick, Ashish Bhatt, and Bernard Haasdonk. "Symplectic Model Order Reduction with Non-Orthonormal Bases." Mathematical and Computational Applications 24, no. 2 (April 21, 2019): 43. http://dx.doi.org/10.3390/mca24020043.
Full textLuo, Yushuang, Xiantao Li, and Wenrui Hao. "Stability preserving data-driven models with latent dynamics." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 8 (August 2022): 081103. http://dx.doi.org/10.1063/5.0096889.
Full textLi, Yong, Jue Yang, Wei Long Liu, and Cheng Lin Liao. "Multi-Level Model Reduction and Data-Driven Identification of the Lithium-Ion Battery." Energies 13, no. 15 (July 23, 2020): 3791. http://dx.doi.org/10.3390/en13153791.
Full textDeshmukh, Rohit, Jack J. McNamara, Zongxian Liang, J. Zico Kolter, and Abhijit Gogulapati. "Model order reduction using sparse coding exemplified for the lid-driven cavity." Journal of Fluid Mechanics 808 (October 27, 2016): 189–223. http://dx.doi.org/10.1017/jfm.2016.616.
Full textSong, Ningning, Haijun Peng, and Ziyun Kan. "A hybrid data-driven model order reduction strategy for flexible multibody systems considering impact and friction." Mechanism and Machine Theory 169 (March 2022): 104649. http://dx.doi.org/10.1016/j.mechmachtheory.2021.104649.
Full textBao, Anqi, Eduardo Gildin, Abhinav Narasingam, and Joseph S. Kwon. "Data-Driven Model Reduction for Coupled Flow and Geomechanics Based on DMD Methods." Fluids 4, no. 3 (July 19, 2019): 138. http://dx.doi.org/10.3390/fluids4030138.
Full textIbañez, R., E. Abisset-Chavanne, E. Cueto, A. Ammar, J. L. Duval, and F. Chinesta. "Some applications of compressed sensing in computational mechanics: model order reduction, manifold learning, data-driven applications and nonlinear dimensionality reduction." Computational Mechanics 64, no. 5 (April 10, 2019): 1259–71. http://dx.doi.org/10.1007/s00466-019-01703-5.
Full textGerman, Péter, Mauricio E. Tano, Carlo Fiorina, and Jean C. Ragusa. "Data-Driven Reduced-Order Modeling of Convective Heat Transfer in Porous Media." Fluids 6, no. 8 (July 28, 2021): 266. http://dx.doi.org/10.3390/fluids6080266.
Full textMendonça, Gonçalo, Frederico Afonso, and Fernando Lau. "Model order reduction in aerodynamics: Review and applications." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 15 (June 11, 2019): 5816–36. http://dx.doi.org/10.1177/0954410019853472.
Full textTaddei, Tommaso. "A Registration Method for Model Order Reduction: Data Compression and Geometry Reduction." SIAM Journal on Scientific Computing 42, no. 2 (January 2020): A997—A1027. http://dx.doi.org/10.1137/19m1271270.
Full textMorsy, Ahmed Amr, Mariella Kast, and Paolo Tiso. "A frequency-domain reduced order model for joints by hyper-reduction and model-driven sampling." Mechanical Systems and Signal Processing 185 (February 2023): 109744. http://dx.doi.org/10.1016/j.ymssp.2022.109744.
Full textAkram, Namra, Mehboob Alam, Rashida Hussain, Asghar Ali, Shah Muhammad, Rahila Malik, and Anwar Ul Haq. "Passivity Preserving Model Order Reduction Using the Reduce Norm Method." Electronics 9, no. 6 (June 9, 2020): 964. http://dx.doi.org/10.3390/electronics9060964.
Full textXie, Xuping, Guannan Zhang, and Clayton G. Webster. "Non-Intrusive Inference Reduced Order Model for Fluids Using Deep Multistep Neural Network." Mathematics 7, no. 8 (August 19, 2019): 757. http://dx.doi.org/10.3390/math7080757.
Full textDemo, Nicola, Marco Tezzele, Andrea Mola, and Gianluigi Rozza. "Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing." Journal of Marine Science and Engineering 9, no. 2 (February 11, 2021): 185. http://dx.doi.org/10.3390/jmse9020185.
Full textBittner, Brian, Ross L. Hatton, and Shai Revzen. "Data-driven geometric system identification for shape-underactuated dissipative systems." Bioinspiration & Biomimetics 17, no. 2 (January 24, 2022): 026004. http://dx.doi.org/10.1088/1748-3190/ac3b9c.
Full textZhong, Jiaqi, and Shan Liang. "A Data-Driven Based Spatiotemporal Model Reduction for Microwave Heating Process with the Mixed Boundary Conditions." Processes 9, no. 5 (May 9, 2021): 827. http://dx.doi.org/10.3390/pr9050827.
Full textBoubehziz, Toufik, Carlos Quesada-Granja, Claire Dupont, Pierre Villon, Florian De Vuyst, and Anne-Virginie Salsac. "A Data-Driven Space-Time-Parameter Reduced-Order Model with Manifold Learning for Coupled Problems: Application to Deformable Capsules Flowing in Microchannels." Entropy 23, no. 9 (September 9, 2021): 1193. http://dx.doi.org/10.3390/e23091193.
Full textHou, Hui, Hao Geng, Yong Huang, Hao Wu, Xixiu Wu, and Shiwen Yu. "Damage Probability Assessment of Transmission Line-Tower System Under Typhoon Disaster, Based on Model-Driven and Data-Driven Views." Energies 12, no. 8 (April 16, 2019): 1447. http://dx.doi.org/10.3390/en12081447.
Full textRahman, Sk, Omer San, and Adil Rasheed. "A Hybrid Approach for Model Order Reduction of Barotropic Quasi-Geostrophic Turbulence." Fluids 3, no. 4 (October 31, 2018): 86. http://dx.doi.org/10.3390/fluids3040086.
Full textLi, Zhengyuan, Jie Chen, Yanmei Meng, Jihong Zhu, Jiqin Li, Yue Zhang, and Chengfeng Li. "Multi-Objective Optimization of Sugarcane Milling System Operations Based on a Deep Data-Driven Model." Foods 11, no. 23 (November 28, 2022): 3845. http://dx.doi.org/10.3390/foods11233845.
Full textSengupta, P., and S. Chakraborty. "Model reduction technique for Bayesian model updating of structural parameters using simulated modal data." Proceedings of the 12th Structural Engineering Convention, SEC 2022: Themes 1-2 1, no. 1 (December 19, 2022): 1403–12. http://dx.doi.org/10.38208/acp.v1.670.
Full textSledge, Isaac, and José Príncipe. "Reduction of Markov Chains Using a Value-of-Information-Based Approach." Entropy 21, no. 4 (March 30, 2019): 349. http://dx.doi.org/10.3390/e21040349.
Full textLu, Xiaoxin, Julien Yvonnet, Leonidas Papadopoulos, Ioannis Kalogeris, and Vissarion Papadopoulos. "A Stochastic FE2 Data-Driven Method for Nonlinear Multiscale Modeling." Materials 14, no. 11 (May 27, 2021): 2875. http://dx.doi.org/10.3390/ma14112875.
Full textCsala, Hunor, Scott T. M. Dawson, and Amirhossein Arzani. "Comparing different nonlinear dimensionality reduction techniques for data-driven unsteady fluid flow modeling." Physics of Fluids 34, no. 11 (November 2022): 117119. http://dx.doi.org/10.1063/5.0127284.
Full textLoiseau, Jean-Christophe, and Steven L. Brunton. "Constrained sparse Galerkin regression." Journal of Fluid Mechanics 838 (January 10, 2018): 42–67. http://dx.doi.org/10.1017/jfm.2017.823.
Full textChamorro, Harold R., Alvaro D. Orjuela-Cañón, David Ganger, Mattias Persson, Francisco Gonzalez-Longatt, Lazaro Alvarado-Barrios, Vijay K. Sood, and Wilmar Martinez. "Data-Driven Trajectory Prediction of Grid Power Frequency Based on Neural Models." Electronics 10, no. 2 (January 12, 2021): 151. http://dx.doi.org/10.3390/electronics10020151.
Full textLučin, Ivana, Bože Lučin, Zoran Čarija, and Ante Sikirica. "Data-Driven Leak Localization in Urban Water Distribution Networks Using Big Data for Random Forest Classifier." Mathematics 9, no. 6 (March 22, 2021): 672. http://dx.doi.org/10.3390/math9060672.
Full textRubio, P.-B., F. Louf, and L. Chamoin. "Bayesian data assimilation with Transport Map sampling and PGD model order reduction." Journal of Physics: Conference Series 1476 (March 2020): 012004. http://dx.doi.org/10.1088/1742-6596/1476/1/012004.
Full textGonzález, David, Alberto Badías, Icíar Alfaro, Francisco Chinesta, and Elías Cueto. "Model order reduction for real-time data assimilation through Extended Kalman Filters." Computer Methods in Applied Mechanics and Engineering 326 (November 2017): 679–93. http://dx.doi.org/10.1016/j.cma.2017.08.041.
Full textStefanoiu, Dan, and Janetta Culita. "Joint Stochastic Spline and Autoregressive Identification Aiming Order Reduction Based on Noisy Sensor Data." Sensors 20, no. 18 (September 4, 2020): 5038. http://dx.doi.org/10.3390/s20185038.
Full textDaescu, D. N., and I. M. Navon. "A Dual-Weighted Approach to Order Reduction in 4DVAR Data Assimilation." Monthly Weather Review 136, no. 3 (March 1, 2008): 1026–41. http://dx.doi.org/10.1175/2007mwr2102.1.
Full textJiang, Jing-Wei, Yang Yang, Tong-Wei Ren, Fei Wang, and Wei-Xi Huang. "Evolutionary Optimisation for Reduction of the Low-Frequency Discrete-Spectrum Force of Marine Propeller Based on a Data-Driven Surrogate Model." Journal of Marine Science and Engineering 9, no. 1 (December 25, 2020): 18. http://dx.doi.org/10.3390/jmse9010018.
Full textPrével, Arthur, Vinca Rivière, Jean-Claude Darcheville, Gonzalo P. Urcelay, and Ralph R. Miller. "Excitatory second-order conditioning using a backward first-order conditioned stimulus: A challenge for prediction error reduction." Quarterly Journal of Experimental Psychology 72, no. 6 (August 21, 2018): 1453–65. http://dx.doi.org/10.1177/1747021818793376.
Full textRaia, Maria Raluca, Mircea Ruba, Raul Octavian Nemes, and Claudia Martis. "Artificial Neural Network and Data Dimensionality Reduction Based on Machine Learning Methods for PMSM Model Order Reduction." IEEE Access 9 (2021): 102345–54. http://dx.doi.org/10.1109/access.2021.3095668.
Full textSzalai, Robert. "Invariant spectral foliations with applications to model order reduction and synthesis." Nonlinear Dynamics 101, no. 4 (August 31, 2020): 2645–69. http://dx.doi.org/10.1007/s11071-020-05891-1.
Full textWen, Bin, Zheng Li, and Nicholas Zabaras. "Thermal Response Variability of Random Polycrystalline Microstructures." Communications in Computational Physics 10, no. 3 (September 2011): 607–34. http://dx.doi.org/10.4208/cicp.200510.061210a.
Full textGosea, Ion Victor. "Exact and Inexact Lifting Transformations of Nonlinear Dynamical Systems: Transfer Functions, Equivalence, and Complexity Reduction." Applied Sciences 12, no. 5 (February 23, 2022): 2333. http://dx.doi.org/10.3390/app12052333.
Full textAbbasi, Mohammad Hossein, Laura Iapichino, Wil Schilders, and Nathan van de Wouw. "A data-based stability-preserving model order reduction method for hyperbolic partial differential equations." Nonlinear Dynamics 107, no. 4 (January 10, 2022): 3729–48. http://dx.doi.org/10.1007/s11071-021-07094-8.
Full textNeggers, Jan, Olivier Allix, François Hild, and Stéphane Roux. "Big Data in Experimental Mechanics and Model Order Reduction: Today’s Challenges and Tomorrow’s Opportunities." Archives of Computational Methods in Engineering 25, no. 1 (July 28, 2017): 143–64. http://dx.doi.org/10.1007/s11831-017-9234-3.
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