An Efficient and Accurate Genetic Algorithm for Backcalculation of Flexible Pavement Layer Moduli
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2012-12-01
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Edition:Final report.
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Abstract:The importance of a backcalculation method in the analysis of elastic modulus in pavement engineering has been ; known for decades. Despite many backcalculation programs employing different backcalculation procedures and ; algorithms, accurate inverse of the pavement layer moduli is still very challenging. In this work, a detailed study on ; the backcalculation of pavement layer elastic modulus and thickness using genetic algorithm is presented. Falling ; weight deflectometer (FWD) data is generated by applying a load to the pavement and measuring pavement ; deflection at various fixed distances from the load center. The measurement errors in FWD data are simulated by ; perturbing the theoretical deflections. Based on these data, backcalculation technique is performed using an ; improved genetic algorithm (GA). Besides root mean square (RMS), another objective function called area value ; with correction factor (AVCF) is proposed for accurate backcalculation of pavement modulus and thickness. The ; proposed backcalculation method utilizes the efficient and accurate program MultiSmart3D for the forward ; calculation and it can backcalculate the modulus and thickness simultaneously for any number of pavement layers. ; A simple, user-friendly, and comprehensive program called BackGenetic3D is developed using this new ; backcalculation method which can be utilized for any layered structures in science and engineering.
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Main Document Checksum:urn:sha-512:d200ef46032aa2db90a5dc75e42c6f1f9960092ee4fb8de25572713bd9086331aed589e03394dc6241d599177d2be10e3c4114b73f6e1ec9197d1f73a132e345