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Bridge Deck Modal Parameters Identification Using Traffic Loads | ||
| Journal of Rehabilitation in Civil Engineering | ||
| مقاله 24، دوره 13، شماره 3 - شماره پیاپی 39، آبان 2025، صفحه 215-230 اصل مقاله (914.4 K) | ||
| نوع مقاله: Regular Paper | ||
| شناسه دیجیتال (DOI): 10.22075/jrce.2025.34969.2157 | ||
| نویسندگان | ||
| Meisam Talebi* 1؛ Zahra Tabrizian2؛ Gholamreza Ghodrati Amiri3 | ||
| 1Ph.D. Candidate, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran | ||
| 2Postdoctoral Fellow, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran | ||
| 3Professor, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran | ||
| تاریخ دریافت: 16 مرداد 1403، تاریخ بازنگری: 25 آذر 1403، تاریخ پذیرش: 17 دی 1403 | ||
| چکیده | ||
| Structural Health Monitoring (SHM) has gained significant importance in recent decades, with various methods developed to detect structural damage. Many non-destructive damage detection techniques are based on vibration response analysis, where changes in modal parameters provide insights into the condition of the structure. For long-term monitoring, utilizing operational loads as the source of vibration is more practical. This paper presents a methodology that processes the forced vibration response of a bridge deck subjected to traffic loading for modal parameter identification. Specifically, the free vibration response is estimated using the Random Decrement (RD) technique combined with Empirical Mode Decomposition (EMD). The natural frequencies and mode shapes are extracted using Frequency Domain Decomposition (FDD). To validate the proposed approach, numerical models of 2D and 3D bridge decks are employed, considering various loading scenarios and the effects of load path and speed. The results indicate that the proposed method is effective for modal identification under real traffic loads, with improved accuracy observed when more complex load patterns, closer to actual conditions, are used. Additionally, the proximity of degrees of freedom to the load path enhances the precision of the results. Quantitative comparisons of modal frequencies and mode shapes validate the robustness of the methodology. | ||
تازه های تحقیق | ||
Achieved a precise estimation of natural frequencies and mode shapes with less than 5% deviation compared to simulation benchmarks.
Proposed a hybrid RD-EMD method that significantly reduces noise, ensuring reliable extraction of free vibration responses from non-stationary data.
Demonstrated insensitivity to input vibration characteristics, validating performance under diverse conditions such as wind, traffic, and seismic loads.
Utilized operational service loading (e.g., vehicular traffic) as an effective, non-invasive means for structural health monitoring. | ||
| کلیدواژه‌ها | ||
| Modal identification؛ Traffic load؛ Frequency domain Decomposition؛ Random decrement؛ Empirical mode decomposition | ||
| مراجع | ||
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