Rubber-metal bushings (RMB) are critical components in multi-body systems, such as vehicles and industrial machinery, due to their abilityto enable relative motion, dampen vibrations, and transmit forces. However,their nonlinear behavior challenges accurate modeling. Traditional physics-based models often fail to balance simplicity, accuracy, and computationalefficiency. The growing availability of experimental data offers opportunitiesto improve RMB modeling through hybrid and data-driven approaches. Thisstudy evaluates physics-based, hybrid, and data-driven methods based on predictive accuracy, modeling effort, and computational cost. Hybrid approaches,combining machine learning techniques with physics-based models, are investigated to leverage their complementary strengths. Results show that hybridmethods enhance accuracy for simpler models with a modest increase in computational time. This highlights their potential to simplify RMB modelingwhile balancing accuracy and efficiency, offering insights for advancing multi-body system simulations. Building on these insights, data-driven methods areexplored for their ability to provide surrogate models for dynamical systemswithout requiring expert knowledge. Experiments reveal that while simpledata-driven methods approximate system behavior when data has low variance, they fail with trajectories of widely varying frequency and amplitude.
"}],"type":"preprint","citation":{"ama":"Wohlleben MC, Schütte J, Berkemeier MB, Peitz S, Sextro W. Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings. Published online 2025.","short":"M.C. Wohlleben, J. Schütte, M.B. Berkemeier, S. Peitz, W. Sextro, (2025).","chicago":"Wohlleben, Meike Claudia, Jan Schütte, Manuel Bastian Berkemeier, Sebastian Peitz, and Walter Sextro. “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings.” Springer Science and Business Media LLC, 2025.","apa":"Wohlleben, M. C., Schütte, J., Berkemeier, M. B., Peitz, S., & Sextro, W. (2025). Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings. Springer Science and Business Media LLC.","ieee":"M. C. Wohlleben, J. Schütte, M. B. Berkemeier, S. Peitz, and W. Sextro, “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings.” Springer Science and Business Media LLC, 2025.","bibtex":"@article{Wohlleben_Schütte_Berkemeier_Peitz_Sextro_2025, title={Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings}, publisher={Springer Science and Business Media LLC}, author={Wohlleben, Meike Claudia and Schütte, Jan and Berkemeier, Manuel Bastian and Peitz, Sebastian and Sextro, Walter}, year={2025} }","mla":"Wohlleben, Meike Claudia, et al. Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings. Springer Science and Business Media LLC, 2025."},"date_updated":"2025-05-13T08:28:31Z","publisher":"Springer Science and Business Media LLC","title":"Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings","_id":"59880","language":[{"iso":"eng"}],"publication_status":"published","author":[{"orcid":"0009-0009-9767-7168","last_name":"Wohlleben","full_name":"Wohlleben, Meike Claudia","first_name":"Meike Claudia","id":"43991"},{"first_name":"Jan","id":"22109","orcid":"0000-0001-9025-9742","last_name":"Schütte","full_name":"Schütte, Jan"},{"first_name":"Manuel Bastian","id":"51701","last_name":"Berkemeier","full_name":"Berkemeier, Manuel Bastian"},{"first_name":"Sebastian","id":"47427","orcid":"0000-0002-3389-793X","last_name":"Peitz","full_name":"Peitz, Sebastian"},{"full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter","id":"21220"}],"year":"2025","user_id":"43991"}