A Gaussian process latent force model for joint input-state estimation
in linear structural systems

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A Gaussian process latent force model for joint input-state estimation in linear structural systems

29 March 2019

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Papers citing "A Gaussian process latent force model for joint input-state estimation in linear structural systems"

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Title
Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functions Gledson Rodrigo Tondo I. Kavrakov Guido Morgenthal 87 2 0 13 Mar 2025
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications M. Haywood-Alexander Wei Liu Kiran Bacsa Zhilu Lai Eleni Chatzi AI4CE 42 12 0 31 Oct 2023
Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes Gledson Rodrigo Tondo Sebastian Rau I. Kavrakov Guido Morgenthal 87 6 0 21 Sep 2023
A spectrum of physics-informed Gaussian processes for regression in engineering E. Cross T. Rogers D. J. Pitchforth S. Gibson Matthew R. Jones 61 9 0 19 Sep 2023
On the Integration of Physics-Based Machine Learning with Hierarchical Bayesian Modeling Techniques O. Sedehi Antonina M. Kosikova C. Papadimitriou L. Katafygiotis 56 7 0 01 Mar 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients Marc Härkönen Markus Lange-Hegermann Bogdan Raiță 138 16 0 29 Dec 2022
Virtual sensing of subsoil strain response in monopile-based offshore wind turbines via Gaussian process latent force models J. Zou E. Lourens Alice Cicirello 23 15 0 13 Jul 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 61 91 0 13 Apr 2022
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems Shailesh Garg Harshit Gupta S. Chakraborty 48 16 0 31 Jan 2022
A deep learning based surrogate model for stochastic simulators Ak Thakur S. Chakraborty 52 14 0 24 Oct 2021
A Latent Restoring Force Approach to Nonlinear System Identification T. Rogers Tobias Friis 87 18 0 22 Sep 2021
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems Shailesh Garg S. Chakraborty B. Hazra 75 20 0 01 Sep 2021
Surrogate assisted active subspace and active subspace assisted surrogate -- A new paradigm for high dimensional structural reliability analysis N. N. S. Chakraborty 30 27 0 11 May 2021
Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system Shailesh Garg Ankush Gogoi S. Chakraborty B. Hazra AI4CE 58 15 0 29 Mar 2021
State estimation with limited sensors -- A deep learning based approach Y. Kumar Pranav Bahl S. Chakraborty 53 29 0 27 Jan 2021
Transfer learning based multi-fidelity physics informed deep neural network S. Chakraborty PINN OOD AI4CE 77 167 0 19 May 2020
Machine learning based digital twin for dynamical systems with multiple time-scales S. Chakraborty S. Adhikari AI4CE 61 87 0 12 May 2020
Simulation free reliability analysis: A physics-informed deep learning based approach S. Chakraborty AI4CE 51 16 0 04 May 2020