Transformer Based Model for Predicting Rapid Impact Compaction Outcomes: A Case Study of Utapao International Airport

Youwai, Sompote, Detcheewa, Sirasak

arXiv.org Artificial Intelligence 

It is often used in large infrastructure projects such as airports and highways, where the soil needs to support the weight of the structure and pavement (Cheng et al. 2021; Mohammed et al. 2013; Simpson et al. 2008; Spyropoulos et al. 2020; Tarawneh and Matraji 2014; Vukadin 2013). The effectiveness of RIC depends on various factors, such as the fine content of the soil, the compaction sequence, the energy applied, the stiffness of existing ground, the ground water characteristics and the soil drainage. These factors vary in different site conditions and need to be considered in the design of RIC to optimize the compaction method (Ghanbari and Hamidi 2014; Serridge and Synac 2006; Tarawneh and Matraji 2014). Therefore, it is recommended to conduct a trial before the actual construction. Predicting the engineering properties of the ground improved by Rapid Impact Compaction (RIC) is a challenging task for geotechnical engineers.