Proceedings of the

The 33rd European Safety and Reliability Conference (ESREL 2023)
3 – 8 September 2023, Southampton, UK

Comparative Study on Optimization Methods in Finite Element Model Updating

Jaebeom Lee1, Hyunjun Kim2, Sangmok Lee3 and Haeho Lee4

1Intelligent Wave Engineering Team, Korea Research Institute of Standards and Science, South Korea.

2Department of Civil Engineering, Seoul National University of Science and Technology, South Korea.

3Dam Safety Management Center, Korea Water Resources Corporation, South Korea.

4Electrical Engineering, Chungnam National University, South Korea.


Finite element model updating has been widely studied in the civil engineering field owing to its applicability to damage detection, system identification, and digital twin construction. Its general scheme is to find the best-fit model with sensor data by updating various model parameters, such as elastic modulus, mass density, and rotational stiffness. It is definitely an optimization problem where lots of algorithms can be introduced. Not only first-order optimization methods but also second-order methods can be utilized. In many studies, zero-order optimization methods have been introduced to find global optimum even though those are computationally expensive. In this study, the optimization methods are compared in terms of accuracy and computational cost in a finite element model updating problem with a numerical example of Euler-Bernoulli beams.

Keywords: Finite element model updating, Modal analysis, System identification, Euler-Bernoulli beams, Nelder-mead simplex method, Optimization, Digital twin.

Download PDF