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PAVEMENT CONDITION SURVEYS Lecture 4
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Instructional Objectives n Need for condition surveys n Collection methodologies n Four basic types of condition surveys n Different procedures and equipment available
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Need for Condition Surveys n Evaluate current condition of pavement n Determine rates of deterioration n Project future conditions n Determine maintenance & rehabilitation needs n Determine costs of repairs n Prepare plans for repairs
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Types of Surveys n Distress Surveys n Structural Capacity n Roughness (Ride Quality) n Skid Resistance (Surface Friction)
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Distress Surveys n Type of distress n Severity n Extent of distress present on the pavement
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Distress Surveys Types n Paser n Paver n SHRP n Asphalt Institute n Texas Transportation Institute
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Paser n Asphalt n Concrete n Gravel Roads
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Paser Distress-Asphalt Uses visual inspection techniques Surface defects Surface deformation Cracks Patches and potholes
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Paser Distress-Concrete n Uses Visual inspection techniques —Surface defects —Joints —Pavement cracks —Pavement deformation
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LTPP Distress Asphalt Concrete
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LTPP Distress-Asphalt Cracking Patching and potholes Surface deformations Surface defects Misc distress
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LTPP Distress-Concrete Cracking Joint deficiencies Surface defects Misc distresses
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Paver Distress Asphalt Concrete
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Paver Distress-Asphalt Alligator cracking Block crack Distortions Longitudinal and transverse cracking Patching and utility cuts Rutting
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Paver Distress- Concrete Blow-ups and Buckling Corner break D cracking Linear cracking Polished aggregate Pumping
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Ride Quality IRI (International Roughness Index) IRI is calculated from longitudinal profile measured with a road profiler in both wheelpaths. The average IRI of the two wheelpaths is reported as the roughness of the pavement section.
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ROUGHNESS SURVEY n Survey the outside lane. n For undivided highways survey one direction. n For divided highways survey the outside lane in both directions. n For each survey cycle use the same direction(s) of travel and survey lane(s).
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IRI CALCULATION International Roughness Index (IRI) - The IRI is computed from a single longitudinal profile using a quarter-car simulation as described in the report, "On the Calculation of IRI from Longitudinal Road Profile." [Sayers 95]
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Ride Quality RUT DEPTH MEASUREMENT 1.7 m 3 Rutting Sensors
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WHAT IS REPORTED?
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SAMPLE DATA AGGREGATION 0 5 10 15 20 25 30 35 40 45 Level 1 Level 2 Level 3Level 4 Severity Level Percent of Measurements within the Section
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Structural Capacity n Not routinely collected for pavement monitoring n Mainly used for selecting and designing rehabilitation strategies n Can reduce maintenance and rehabilitation costs
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Structural Evaluation Destructive Testing n Coring n Laboratory testing n Excavation of pits n Field CBR
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Structural Evaluation Non-Destructive Testing n Benkelman Beam n Dynaflect n Road Rater n FWD n Rolling Deflectometer n GPR
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Automated Distress Surveys n Increase speed and ease of data collection n Reduce transcription errors n Increase consistency between classification and quantification n Increase safety of field crews
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Automated Condition Survey Equipment n Used by most states to collect: –Pavement friction –Roughness –Profile –Rut depth –Deflection data
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Classes of Automated Data Collection n Distress images collected on film or high resolution video and: –analyzed while the vehicle collects data –analyzed in the office after data collection –analyzed after data collection by viewing the images n Lasers are used to determine changes in surface texture
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Rolling Weight Deflectometer n Primary objectives are: –Develop an RWD suitable for network level analysis –Collect data at speeds of 50 mph –Output will be a structural index –Measure maximum deflection, pavement temperature, station numbers, and day and time of test
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Rolling Weight Deflectometer n Phase I –Identified deflection measurements n Phase II –Highway speeds –Deflection response converted to a structural index
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Rolling Weight Deflectometer n Objective is to compare relative structural strengths n Identify weak links n Deflection basins, magnitudes, loads and temperatures n Processed in real time n Continuously measured at 1 foot intervals
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Distress Data Collection n Visual survey n Laser technology n Film-based systems n Video systems
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Drainage Surveys n Poor drainage causes poor pavement performance n Water on a pavement can: –create a hazard to motorists –saturate the subgrade soil –deteriorate the pavement
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Pavement failure is caused by: n Load –Load capacity can be increased by an overlay n Moisture –If proper drainage is not provided during rehabilitation, the same moisture related distress will recur
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Signs of Deficient Drainage n Standing water in ditchlines n Concentrated weed growth in ditchline or edge of pavement n Evidence of water ponding on shoulder n Deteriorated joint or crack sealants n Any evidence of pumping
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How Much Data to Collect? n To support network-level analysis –Sampling processes n Two sampling procedures: –Network sampling –Section sampling
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Network Sampling n Less samples needed when total number in the whole increases n To determine average condition: –Sample 2 - 5% n To predict the distribution of condition: –Sample 10 - 25% n To predict cost of repairs, restorations: –Sample 30 - 35% n Most states survey 10%
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Section Sampling n To identify sections of pavement in a selected condition level, the condition of each section must be defined n If a windshield survey is used: –entire section should be inspected n If a walking or automated survey is used: –a portion of the section is adequate
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Frequency of Surveys n Not all sections need to be inspected every year n Interstates and more important sections can be inspected every year n Sections with lower usage can be inspected every second or third year n Use of a condition project method to utilize a common period for analysis
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Instructional Objectives n Need for condition surveys n Collection methodologies n Four basic types of condition surveys n Different procedures and equipment available
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