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A New Model for Dynamic Amplification Factor from B-WIM Data in Indonesia

A New Model for Dynamic Amplification Factor from B-WIM Data in Indonesia
Widi Nugraha, Sofyan Ramadhani, and Gatot Sukmara

Analyzing data from ten Indonesian B-WIM systems, this study finds that heavier vehicles produce lower Dynamic Amplification Factors and proposes a new, more accurate gross-vehicle-weight-based DAF model to improve bridge design standards.

Lampiran:
Unduh

In recent years, Indonesia has rapidly developed Bridge Weigh-In-Motion (B-WIM) systems for measuring vehicle loads, now having at least ten permanent stations. These systems collect data on

the dynamic loads vehicles acts on bridges, which differ from static loads. Dynamic loads can increase the impact of a vehicle's weight on a bridge, known as dynamic load amplification, which must be considered in bridge design for safety. The Dynamic Amplification Factor (DAF) is used in design to adjust for these effects. This study evaluates the DAF using data from ten B-WIM systems in Indonesia. By analyzing the bridge's response to vehicles with strain sensors, the study found a

consistent pattern: heavier vehicles have lower DAF values. A new DAF model based on gross vehicle weight was proposed, which proved more accurate and efficient than current standards. This model can improve bridge design by providing lower, more precise DAF values, better reflecting the actual dynamic behavior of bridges under varying vehicle loads.

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