The ROOFER Engineered Management System (EMS), developed by the U.S. Army Constrnction Engineering Research Laboratories (USACERL), enables Anny installations to capture roofing inspection data in a single electronic database. The automated component of the EMS, called MicroROOFER, processes these data to help the user evaluate, prioritize, and budget roofing maintenance and repair needs. To assist in developing future enhancements for ROOFER, USACERL acquired MicroROOFER databases from 21 Army installations that have implemented the ROOFER EMS. From these separate databases researchers created a master data set containing inventory data, inspection data, and condition indices for 3059 roofing sections. The researchers conducted a statistical analysis of the data set to characterize the inventory sample and detennine how the roof condition depends on age and various design and construction factors. The data also were used to demonstrate the use of specially developed age/degradation curves for detennining condition percentiles as functions of age. The analysis confinned that age is by far the most important predictor ofroof section condition. Other influential predictors were surfacing, flashing type, drainage, and membrane type.
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