00741872

Component

https://doi.org/10.3141/1570-16

http://scholar.google.com...Chan&publication_year=1997

Most existing iterative backcalculation programs for pavement layer moduli arrive at their solutions by minimizing an objective function related to the differences between computed and measured surface deflections. Unfortunately, the solution surface of the backcalculation problem of pavement-layer moduli is known to contain many local minima. A potentially good backcalculation procedure would be one that has a strong global search ability to overcome the problem of local minima. The genetic algorithm (GA) is a technique that satisfies this requirement. The development of a backcalculation program known as NUS-GABACK using the genetic-algorithm approach is presented, along with the formulation and operations of the program. A detailed performance evaluation of the GA-based method is made against four other programs by solving five backcalculation problems with different structural composition. It was found that NUS-GABACK performed comparably well against the other programs and demonstrated consistency in the accuracies of backcalculated moduli.

This paper appears in Transportation Research Record No. 1570, Pavement Research Issues.

English

p. 134-142

1997

Transportation Research Record

0309061539

Figures (5) ; References (10) ; Tables (4)

Accuracy; Backcalculation; Deflection; Genetic algorithms; Layer coefficient (Pavements); Minimization; Modulus; Pavements; Performance evaluations

Layer moduli

Data and Information Technology; Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

TRIS, TRB, ATRI

Oct 1 1997 12:00AM

• ANALYSIS OF LTPP PROFILE DATA FOR JOINTED CONCRETE PAVEMENT SECTIONS
• CRACK DEVELOPMENT IN LINEAR TRACKING TEST PAVEMENTS FROM VISUAL SURVEY TO PIXEL ANALYSIS
• DETECTION AND MONITORING OF CRACKS IN ASPHALT PAVEMENT UNDER TEXAS MOBILE LOAD SIMULATOR TESTING
• DEVELOPMENT OF PROTOTYPE VIDEO-BASED SENSOR FOR VEHICLE DETECTION FROM STAND-STILL IMAGES
• DIPLOBACK: NEURAL-NETWORK-BASED BACKCALCULATION PROGRAM FOR COMPOSITE PAVEMENTS
• DYNAMIC PERFORMANCE OF COMPOSITE PAVEMENTS UNDER IMPACT
• EFFECT OF INITIAL PAVEMENT SMOOTHNESS ON FUTURE SMOOTHNESS AND PAVEMENT LIFE
• EFFECT OF VEHICLE-PAVEMENT INTERACTION ON PAVEMENT RESPONSE
• EVALUATION OF FATIGUE CRACKING
• EVASION OF WEIGHT-ENFORCEMENT STATIONS BY TRUCKS
• INVESTIGATION OF BACKCALCULATED MODULI USING DEFLECTIONS OBTAINED AT VARIOUS LOCATIONS IN A PAVEMENT STRUCTURE
• LINEAR TRACKING PERFORMANCE TESTS ON FULL-DEPTH ASPHALT PAVEMENT
• LINEAR TRACKING RESPONSE MEASUREMENTS: DETERMINING EFFECTS OF WHEEL-LOAD CONFIGURATIONS
• MALFUNCTION DETECTION AND DATA REPAIR FOR INDUCTION-LOOP SENSORS USING I-880 DATA BASE
• MONTANA'S AUTOMATED DEFLECTION ANALYSIS PROCEDURE
• PRIMARY RESULTS FOR THE FIRST TEXAS MOBILE LOAD SIMULATOR TEST PAD
• ROADWAY-VEHICLE INTERACTION, PHYSICAL INDEXES, AND HUMAN JUDGMENT OF RIDE QUALITY
• RUTTING DEVELOPMENT IN LINEAR TRACKING TEST PAVEMENTS TO EVALUATE SHELL SUBGRADE STRAIN CRITERION
• SINGLE-MEASUREMENT ESTIMATION OF IN SITU ASPHALT-LAYER MODULI WITH PORTABLE FALLING WEIGHT DEFLECTOMETER
• TEMPERATURE CORRECTION OF BACKCALCULATED MODULI AND DEFLECTIONS USING LINEAR VISCOELASTICITY AND TIME-TEMPERATURE SUPERPOSITION
• USING ARTIFICIAL NEURAL NETWORKS AS A FORWARD APPROACH TO BACKCALCULATION
• USING GEOGRAPHIC INFORMATION SYSTEM TECHNOLOGY TO SYNTHESIZE CENSUS AREAWIDE AND LINEAR HIGHWAY DATA FOR LOCATION OF WEIGH-IN-MOTION SITES