What approach does the Performance Prediction Model in M-E PDG use to predict distress parameters?

• A. Mechanistic
• B. Empirical
• C. Both A and B
• D. None of the above

Answer: (B)

The Performance Prediction Model in M-E PDG (Mechanistic-Empirical Pavement Design Guide) primarily employs an empirical approach to predict distress parameters. This is based on collecting data from field observations and laboratory testing, which establishes relationships between pavement conditions and various distress mechanisms observed over time.

In this model, empirical data and historical performance records are utilized to calibrate and validate the predictions about how pavements will behave under specific traffic loads and environmental conditions. This reliance on observed data helps ensure that the predictions are aligned with real-world performance, making the model effective for estimating potential distress and determining maintenance and rehabilitation needs over a pavement's life cycle.

The mechanistic approach, while integral to the overall framework of M-E PDG, is better suited to the structural analysis and design aspects rather than the distress prediction parameters. The empirical model addresses pavement performance in a historical context, allowing for adjustments based on actual performance data, which is vital for accurate forecasting. Thus, the correct answer underscores the foundational role empirical data plays in the Performance Prediction Model's ability to anticipate pavement distress effectively.