Browsing SINTEF Open by Author "Blakseth, Sindre Stenen"
Now showing items 1-4 of 4
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Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer (Peer reviewed; Journal article, 2022)Upcoming technologies like digital twins, autonomous, and artificial intelligent systems involving safety–critical applications require accurate, interpretable, computationally efficient, and generalizable models. ... -
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer (Peer reviewed; Journal article, 2022)In this work, we introduce, justify and demonstrate the Corrective Source Term Approach (CoSTA)—a novel approach to Hybrid Analysis and Modeling (HAM). The objective of HAM is to combine physics-based modeling (PBM) and ... -
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions
Sørbø, Sondre; Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer (Peer reviewed; Journal article, 2024) -
Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator
Blakseth, Sindre Stenen; Andersson, Leif Erik; Mocholí Montañés, Rubén; Mazzetti, Marit Jagtoyen (Peer reviewed; Journal article, 2023)Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator