00730298

Component

https://doi.org/10.3141/1540-07

http://scholar.google.com...opez&publication_year=1996

In light of the data collected under the Seasonal Monitoring Program of the Long-Term Pavement Performance Program, the relationship between climatic factors and pavement structural properties is investigated. Using the deflection data collected at a seasonal site over the course of 1 year, layer elastic moduli are backcalculated. The correlations between pavement structural properties (represented by layer elastic moduli) and climatic factors (represented by pavement temperature and moisture conditions) are studied using a series of statistical analyses. Bivariate analysis is used to evaluate linear association between pairs of variables. Principal components analysis is used to identify principal constructs of the system. Multiple regression is used to calibrate linear models. Numerical optimization is used to calibrate nonlinear models that correlate backcalculated layer moduli to pavement temperature. The latter models are then used to derive a temperature correction algorithm of backcalculated asphalt concrete elastic modulus.

This paper appears in Transportation Research Record No. 1540, Recent Research in Pavement Performance.

English

p. 48-55

1996

Transportation Research Record

0309059208

Figures (5) ; References (11) ; Tables (7)

Algorithms; Backcalculation; Calibration; Climate; Deflection; Impacts; Layer coefficient (Pavements); Modulus; Modulus of elasticity; Moisture content; Monitoring; Multiple regression analysis; Numerical analysis; Pavements; Seasons; Statistical analysis; Structural analysis; Temperature; Thermal stresses

Bivariate analysis; Layer moduli; Seasonal variations; Structural properties

Data and Information Technology; Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways

TRIS, TRB

Dec 23 1997 12:00AM

• APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO CONCRETE PAVEMENT JOINT EVALUATION
• APPLICATION OF FALLING WEIGHT DEFLECTOMETER DATA FOR ANALYSIS OF SUPERHEAVY LOADS
• APPLICATION OF STOCHASTIC FINITE-ELEMENT METHOD TO DEFLECTION ANALYSIS OF PAVEMENT STRUCTURES
• ATTEMPT AT RESILIENT MODULUS MODELING USING ARTIFICIAL NEURAL NETWORKS
• COMPARISON OF SIMPLIFIED ELASTOSTATIC AND ELASTODYNAMIC MODELS FOR FALLING WEIGHT DEFLECTOMETER DATA INTERPRETATION
• DETERMINATION OF ELASTIC AND PLASTIC SUBGRADE SOIL PARAMETERS FOR ASPHALT CRACKING AND RUTTING PREDICTION
• ESTABLISHING THE CALIFORNIA DEPARTMENT OF TRANSPORTATION ACCELERATED PAVEMENT TESTING PROGRAM
• EXPERIMENTS WITH COLD MIXES ON LABORATOIRE CENTRAL DES PONTS ET CHAUSSEES FATIGUE TEST TRACK: BEHAVIOR UNDER TRAFFIC LOADS, MECHANICAL CHARACTERISTICS, AND MODELING
• FIELD VERIFICATION OF MOVING LOAD MODEL FOR PAVEMENT RESPONSE
• IMPACT OF HIGH-PRESSURE TIRES AND SINGLE-TIRED AXLES IN OREGON
• NORMAL STRESSES IN A GRANULAR MATERIAL UNDER FALLING WEIGHT DEFLECTOMETER LOADING
• PLASTICITY MODELING APPLIED TO THE PERMANENT DEFORMATION RESPONSE OF GRANULAR MATERIALS IN FLEXIBLE PAVEMENT SYSTEMS
• PREDICTION OF PAVEMENT FATIGUE FOR CALIFORNIA DEPARTMENT OF TRANSPORTATION ACCELERATED PAVEMENT TESTING PROGRAM DRAINED AND UNDRAINED TEST SECTIONS
• PROBABILISTIC FINITE-ELEMENT ANALYSIS OF AIRFIELD PAVEMENTS
• RATIONAL SELECTION OF FACTORS OF SAFETY IN RELIABILITY-BASED DESIGN OF FLEXIBLE PAVEMENTS IN SAUDI ARABIA
• REVISED PREDICTIVE MODEL FOR DYNAMIC (COMPLEX) MODULUS OF ASPHALT MIXTURES
• ROLLING WEIGHT DEFLECTOMETER WITH THERMAL AND VIBRATIONAL BENDING COMPENSATION