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

📅 2026-04-28
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🤖 AI Summary
This study addresses the growing marginalization of physical models by reasserting their value in engineering research and education, using a scaled model of the Lillebet Bridge to tackle challenges in validating and calibrating complex numerical models. Through operational modal analysis, the experimentally determined natural frequencies and damping ratios yielded high-fidelity dynamic characteristics. These data effectively supported the calibration and validation of the corresponding numerical model, underscoring the critical role of physical models as a bridge between theory and experimentation. The findings provide a reliable benchmark for hybrid simulation methodologies, reaffirming the indispensable contribution of physical modeling to structural dynamics research and pedagogy.
📝 Abstract
With the rapid advancement of computer technologies enabling fast calculations of complex structures, numerical methods have become a central tool in engineering sciences, while physical models have increasingly receded into the background. Nevertheless, owing to their clarity and comprehensibility, these former engineering tools remain of great value and their use can still be highly relevant today. At the example of the scale model of the Lillebælt Bridge -- developed by the Copenhagen engineers Christen Ostenfeld and Wriborg Jønson and given for research purposes to the Bauhaus-Universität Weimar -- this paper illustrates how physical models can still serve as useful instruments in research and teaching. By applying operational modal analysis, the natural frequencies and damping ratios of the bridge model are experimentally determined, which in turn can serve as reference data for the calibration and validation of numerical models.
Problem

Research questions and friction points this paper is trying to address.

physical models
numerical models
model validation
model calibration
operational modal analysis
Innovation

Methods, ideas, or system contributions that make the work stand out.

physical model
numerical model validation
operational modal analysis
scale model
model calibration
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Paula Apollonia Wunderlich
Bauhaus-Universität Weimar, Weimar, Germany
G
Gledson Rodrigo Tondo
Bauhaus-Universität Weimar, Weimar, Germany
Guido Morgenthal
Guido Morgenthal
Bauhaus-Universität Weimar
Bridge EngineeringNumerical MethodsStructural DynamicsWind and Earthquake EngineeringSHM and Drones