September 02, 2016 article Open access A new model order reduction strategy adapted to nonlinear problems in earthquake engineering Earthquake Engineering & Structural Dynamics DOI: 10.1002/eqe.2802 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 14 stored of 53 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Solving large numerical substructures in real‐time hybrid simulations using proper orthogonal decomposition 2024 Earthquake Engineering & Structural Dynamics article Physics and Astronomy Model Reduction and Neural Networks 2 citations Reliability analysis of complex systems using subset simulations with Hamiltonian Neural Networks 2024 Structural Safety article Decision Sciences Probabilistic and Robust Engineering Design Open access 24 citations Model order reduction in subset simulations using the proper orthogonal decomposition 2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access 3 citations Enhanced Hamiltonian Monte Carlo simulations using Hamiltonian neural networks 2023 PAMM article Mathematics Markov Chains and Monte Carlo Methods Open access 3 citations Non-incremental response evaluation in geometrically nonlinear structural dynamics using a space-time stiffness operator 2022 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access 6 citations Training Data Selection for Machine Learning-Enhanced Monte Carlo Simulations in Structural Dynamics 2022 Applied Sciences article Engineering Structural Health Monitoring Techniques Open access 19 citations A non‐incremental solution procedure for elastoplastic problems in structural mechanics 2021 PAMM article Engineering Advanced Numerical Methods in Computational Mathematics Open access 0 citations A non-incremental numerical method for dynamic elastoplastic problems by the symplectic Brezis–Ekeland–Nayroles principle 2021 Computer Methods in Applied Mechanics and Engineering article Engineering Advanced Numerical Methods in Computational Mathematics Open access 6 citations A Monte Carlo Simulation Approach in Non-linear Structural Dynamics Using Convolutional Neural Networks 2021 Frontiers in Built Environment article Engineering Seismic Performance and Analysis Open access 15 citations A Newmark space-time formulation in structural dynamics 2021 Computational Mechanics article Engineering Advanced Numerical Methods in Computational Mathematics Open access 24 citations Machine‐learning‐enhanced tail end prediction of structural response statistics in earthquake engineering 2021 Earthquake Engineering & Structural Dynamics article Engineering Seismic Performance and Analysis Open access 51 citations A Newmark space‐time approach in structural mechanics 2021 PAMM article Mathematics Numerical methods for differential equations Open access 2 citations Artificial Neural Networks in Motion Analysis—Applications of Unsupervised and Heuristic Feature Selection Techniques 2020 Sensors article Engineering Gait Recognition and Analysis Open access 38 citations Quasistatic analysis of elastoplastic structures by the proper generalized decomposition in a space-time approach 2020 Mechanics Research Communications article Physics and Astronomy Model Reduction and Neural Networks 10 citations 14 results References 0