Frequently Asked Questions
| Acronyms | Description |
|---|---|
| AAC | Asphalt over Asphalt Concrete |
| AC | Asphalt Concrete |
| APC | Asphalt over Portland Cement Concrete |
| ASR | Alkali-Silica Reaction |
| ASTM | American Society for Testing and Materials |
| FAA | Federal Aviation Administration |
| FOD | Foreign Object Debris |
| ft | Linear Foot |
| FT | Linear Foot |
| HMA | Hot-Mix Asphalt |
| in | Inches |
| IN | Inches |
| L&T | Longitudinal and Transverse |
| lbs | Pounds |
| LBS | Pounds |
| M&R | Maintenance and Rehabilitation |
| PMP | Pavement Management Program |
| PCC | Portland Cement Concrete |
| PCI | Pavement Condition Index |
| sf | Square Foot |
| SF | Square Foot |
| SqFt | Square Foot |
| yrs | Years |
| YRS | Years |
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A pavement's life cycle is the relationship between its condition and age. A newly constructed pavement is considered to be in perfect condition, but as it ages, factors such as use, applied load, and climate will cause its condition value to decrease. The deterioration rate of condition vs. age is rarely linear. A properly designed pavement will typically have a lower deterioration rate through approximately 75% of its life, then at some age and condition value, the pavement's deterioration rate will increase rapidly. This point in a pavement's life is called the critical condition or critical PCI.
Finding a pavement's critical condition and performing M&R before it reaches its critical condition is the key to saving M&R dollars, as the cost to repair pavements increases dramatically beyond this point. The figure below shows a pavement's typical life cycle as related to M&R cost to repair.
Modeling the deterioration of a single pavement's life cycle can be difficult unless there are many condition vs. age data points available. Pavements with similar characteristics such as surface type, use, and functional classification generally follow the same deterioration life cycle pattern. Within the Pavement Management System, these like pavements are grouped into families and then deterioration models are generated for each family using the numerous condition vs. age data points. Our team works closely with each client to create customized deterioration models based on the variance in their network data. These models can identify the critical condition for a specific family of pavements, and the models can be used to predict the condition of a pavement along with its appropriate M&R treatment at any future point in time.