Infrasense utilizes a suite of nondestructive testing (NDT) methods including high-speed vehicle-mounted Ground Penetrating Radar (GPR), Falling Weight Deflectometer (FWD), Traffic Speed Deflectometer (TSD), and various acoustic and ultrasonic methods to evaluate pavement structures and underlying conditions. The NDT data is geo-referenced using high-precision GPS for accurate identification and location mapping.
Our comprehensive pavement evaluation services support infrastructure decisions through structural capacity testing, layer analysis, and deterioration detection at both project and network levels.
In addition to comprehensive pavement assessment, we can process the NDT data to provide the following:
Contact our experienced team today to discuss your pavement structure evaluation needs and receive a customized quote for your assessment project.
We select methods based on project objectives—GPR provides layer thickness and subsurface conditions at highway speeds, FWD measures structural capacity for remaining life calculations, while acoustic methods detect delaminations between layers. The combination depends on whether you need structural analysis, material characterization, or comprehensive condition assessment for network-level decision making.
Our vehicle-mounted systems provide continuous structural and thickness data that eliminates 80-90% of required cores while delivering superior coverage compared to point sampling methods. When combined with FWD deflection testing, we can determine layer moduli and structural capacity without laboratory analysis, providing faster results at significantly lower cost than traditional investigation programs.
Our GPS-referenced data integrates directly into pavement management systems, providing the quantitative structural condition and remaining life data needed for objective maintenance prioritization. By combining thickness measurements, structural capacity analysis, and condition mapping, agencies can optimize treatment timing and selection, typically extending network life by 20-30% through data-driven decision making.