en Rolling Stock Rolling Stock پژوهشي Research <div style="text-align: justify;"><span style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times=""><span style="color:black">This study examines the dynamic scaling of train-track-bridge interaction models, focusing on the sensitivity of the Train-Track-Bridge Dynamic Interaction (TTBDI) system to changes in primary dynamic identifiers. Utilizing the MATLAB TTB-2D code, this research investigates the vibrational behavior of scaled models, which is crucial for damage detection without compromising actual structures. This study establishes scaling relationships for primary and secondary identifiers, with the correlation coefficient acting as the key indicator of similarity between real and scaled responses. Sensitivity analysis demonstrates that the TTBDI system&rsquo;s response is highly sensitive to changes in mass and stiffness scales, while less affected by variations in length and damping coefficient scales. Additionally, this work introduces a relationship for the dynamic scaling of the TTBDI system. The effectiveness of this method is then numerically examined. It is observed that the real and scaled responses will align, confirming that scaling is correctly performed. The investigations conducted in this research aim to increase accuracy in constructing dynamic scaled devices for trains, tracks, and bridges, enabling feasibility studies for system damage identification.</span></span></span></span></div> Vehicle Dynamics, Dynamic Scaling, Train/Track/Bridge Structures, Damage Identification, 2D Modeling 11 20 http://ijrare.iust.ac.ir/browse.php?a_code=A-10-77-2&slc_lang=en&sid=1 Masoud Soltanzadeh masoud.2300@gmail.com 180031947532846002863 180031947532846002863 No School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran Taha Bahri t_bahri@rail.iust.ac.ir 180031947532846002864 180031947532846002864 No School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran Mohammad Ali Rezvani rezvani_ma@iust.ac.ir 180031947532846002865 180031947532846002865 Yes School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran