Modelling Flexible Pavement Deterioration with Artificial Neural Networks

Ananya Mwangi, Farhana Chaudhry, Chidi Tran

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2019.4301.028

1. Introduction

Practitioners have long relied on empirical rules to design smart grids, yet these often neglect the complexity of flexible pavement deterioration. Numerical simulations are complemented by artificial neural networks to cross-check the predicted trends. Sensitivity analysis showed that 3 parameters govern more than 56% of the variability. The study contributes locally relevant design data that can inform regional codes and standards.

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2. Materials and Methods

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3. Results and Discussion

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4. Conclusion

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