Pavement Management System Using Predictive Deterioration Modeling
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Solution Overview
Problem
Airfield and roadway pavements are deteriorating faster than they are being repaired, leading to increased costs and asset loss due to lack of systematic maintenance and rehabilitation approaches, with existing management systems not effectively prioritizing repairs based on lifecycle costing or condition indices.
Innovation Solution
The PAVER™ system, developed by the US Army Corps of Engineers, provides a comprehensive engineered management system for pavements that includes inventory management, condition assessment, predictive modeling, and work planning tools to optimize maintenance and rehabilitation decisions, using the Pavement Condition Index (PCI) and other condition indices to prioritize repairs and reduce costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pavements are maintained using traditional reactive repair approaches, then immediate pavement condition restoration is achieved, but lifecycle repair costs increase and asset loss accelerates
Solution Approach 1:
The system performs preliminary actions by predicting future pavement conditions using deterioration models before actual deterioration occurs. This allows proactive scheduling of maintenance activities at optimal times, preventing severe deterioration and reducing lifecycle costs by avoiding costly reactive repairs.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring pavement condition data, comparing actual conditions against predicted deterioration patterns, and adjusting maintenance schedules accordingly. This closed-loop approach optimizes resource allocation and reduces unnecessary repairs while preventing asset loss.
2Loss of energy
If systematic maintenance and rehabilitation approaches are implemented, then lifecycle repair costs are reduced by over 50%, but the system complexity and data processing requirements increase
Solution Approach 1:
The system achieves multi-functionality by integrating inventory management, condition assessment, deterioration modeling, and work planning capabilities into a single unified platform. This consolidation reduces overall system complexity while providing comprehensive pavement management functions that deliver significant cost savings.
Solution Approach 2:
The system utilizes parameter changes by transforming raw pavement condition data into meaningful deterioration predictions through mathematical models. By changing parameters from static condition measurements to dynamic deterioration rates and future state predictions, the system enables proactive decision-making without requiring excessive complexity.
3Quantity of substance
If pavement repairs are delayed until severe deterioration occurs, then short-term maintenance budgets are reduced, but long-term asset loss increases and traffic disruptions extend
Solution Approach 1:
The system schedules maintenance activities in advance based on predicted deterioration timelines, performing repairs at optimal moments before severe deterioration occurs. This preliminary action prevents asset loss and minimizes traffic disruptions by avoiding emergency repairs during peak usage periods.
Solution Approach 2:
The system enables self-service by automatically generating work plans and prioritizing maintenance activities based on predicted pavement conditions and budget constraints. This automation reduces manual intervention requirements and ensures timely maintenance scheduling without extensive administrative overhead.
Data Source
AI summary
An automated user-implemented method for optimizing cost, schedule and performance of maintenance and rehabilitation (M&R) on manmade structure, such as pavements. The method utilizes a database containing information on the condition of the manmade structure, the information on condition further including a condition index; applies one or more algorithms to data in the database to yield schedule and budget for M&R of the manmade structure; correlates the type of M&R and schedule for performing the M&R with alternative budgets that a user may enter into the software supporting the method and outputs and displays work plans associated to each of the alternative budgets for use by managers in planning future M&R work and predicting performance thereof by evaluating past work on the manmade structure. The system may be implemented by a user on the internet as well as on individual personal computers. Specific implementations include PAVER™ and microPAVER™ software.