Cover Image

The role of physical models in the validation and calibration of numerical models -- The example of the Lillebælt Bridge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wunderlich, Paula Apollonia, Tondo, Gledson Rodrigo, Morgenthal, Guido
Format:	Preprint
Published:	2026
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assessing the dynamic response of long-span bridges under simultaneous wind and traffic loads
by: Tondo, Gledson Rodrigo, et al.
Published: (2026)

Aerodynamic force reconstruction using physics-informed Gaussian processes
by: Tondo, Gledson Rodrigo, et al.
Published: (2026)

Data Driven Calibration of Analytical Concrete Creep Models Considering Preloading Effects Using Gaussian Processes
by: Heller, Leonie, et al.
Published: (2026)

Discretization-optimized Bayesian model calibration for nonlinear constitutive modeling in heat conduction
by: Silva, Rodrigo L. S., et al.
Published: (2026)

Bayesian Windkessel calibration using optimized 0D surrogate models
by: Richter, Jakob, et al.
Published: (2024)

Knowledge-based model validation using a custom metric
by: Henkelmann, Nicola, et al.
Published: (2024)

Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functions
by: Tondo, Gledson Rodrigo, et al.
Published: (2025)

On the feasibility of foundational models for the simulation of physical phenomena
by: Tierz, Alicia, et al.
Published: (2024)

The Black Tuesday Attack: how to crash the stock market with adversarial examples to financial forecasting models
by: Hofweber, Thomas, et al.
Published: (2025)

Vehicle single track modeling using physics guided neural differential equations
by: Rhode, Stephan, et al.
Published: (2024)

A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models
by: Rinkens, Aricia, et al.
Published: (2026)

Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling
by: Rahnemoonfar, Maryam, et al.
Published: (2024)

Using high-fidelity discrete element simulation to calibrate an expeditious terramechanics model in a multibody dynamics framework
by: Zhang, Yuemin, et al.
Published: (2024)

Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models
by: Stollberg, Jonathan, et al.
Published: (2024)

Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
by: Kavrakov, Igor, et al.
Published: (2024)

GeoSim.AI: AI assistants for numerical simulations in geomechanics
by: Bekele, Yared W.
Published: (2025)

A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks
by: Linden, Lennart, et al.
Published: (2025)

In-context modeling as a retrain-free paradigm for foundation models in computational science
by: Li, Lingfeng, et al.
Published: (2026)

Option pricing model under the G-expectation framework
by: Pei, Ziting, et al.
Published: (2026)

Clustering doc2vec output for topic-dimensionality reduction: A MITRE ATT&CK calibration
by: Monnet, Nathan, et al.
Published: (2024)

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data
by: Potnis, A., et al.
Published: (2024)

MambaStock: Selective state space model for stock prediction
by: Shi, Zhuangwei
Published: (2024)

BridgeNet: A Dataset of Graph-based Bridge Structural Models for Machine Learning Applications
by: Bleker, Lazlo, et al.
Published: (2025)

Computational modelling of cancer nanomedicine: Integrating hyperthermia treatment into a multiphase porous-media tumour model
by: Wirthl, Barbara, et al.
Published: (2025)

Electromechanical computational model of the human stomach
by: Henke, Maire S., et al.
Published: (2025)

Hexahedral mesh of anatomical atlas for construction of computational human brain models: Applications to modeling biomechanics and bioelectric field propagation
by: Huynh, Andy, et al.
Published: (2024)

Surrogate impact modelling for crop yield assessment
by: Vlachopoulos, Odysseas, et al.
Published: (2026)

Synthesis of Service Life Prediction for Bridges in Texas
by: Gao, Lu, et al.
Published: (2025)

Multi-layer diffusion model of photovoltaic installations
by: Weron, Tomasz
Published: (2024)

Effect of turbulent diffusion in modeling anaerobic digestion
by: Yan, Jeremy Z., et al.
Published: (2024)

Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties
by: Liu, Ning, et al.
Published: (2024)

Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
by: Guo, Jiachen, et al.
Published: (2024)

Defining metric-aware size-shape measures to validate and optimize curved high-order meshes
by: Aparicio-Estrems, Guillermo, et al.
Published: (2024)

Scalable Path Level Thermal History Simulation of PBF process validated by Melt Pool Images
by: Liu, Xin, et al.
Published: (2023)

Domain decomposition of large neural network surrogate models
by: Gödde, Timm, et al.
Published: (2026)

Mixed extreme wave climate model for reanalysis databases
by: Minguez, Roberto, et al.
Published: (2025)

Statistical reduced order modelling for the parametric Helmholtz equation
by: Hermann, Lucas, et al.
Published: (2024)

Training an AI hyperelastic constitutive model with experimental data
by: Jailin, Clément, et al.
Published: (2024)

Zoomy: flexible modeling and simulation software for free-surface flows
by: Steldermann, Ingo, et al.
Published: (2026)

Physics-guided diffusion models for inverse design of disordered metamaterials
by: Xie, Ziyuan, et al.
Published: (2026)