Prediction of Airport Flexible Pavement Critical Responses from Non-destructive Test Data Using ANN-based Structural Models
نویسندگان
چکیده
منابع مشابه
Prediction of National Airport Pavement Test Facility Pavement Layer Moduli from Heavy Weight Deflectometer Test Data Using Artificial Neural Networks
The National Airport Pavement Test Facility (NAPTF) was constructed to generate full-scale testing data to investigate the performance of airport pavements subjected to complex gear loading configurations of new generation aircraft. During the first test program, the NAPTF test sections were simultaneously subjected to Boeing 777 trafficking in one lane and Boeing 747 trafficking in another lan...
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A critical issue concerning the deterioration of ageing road infrastructure all around the world is the need to rapidly and cost-effectively evaluate the present condition of pavement infrastructure. Non-Destructive Test (NDT) and evaluation methods are well-suited for characterizing materials and determining structural integrity of pavement systems. The Falling Weight Deflectometer (FWD) is a ...
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The Heavy Weight Deflectometer (HWD) test is one of the most widely used tests for assessing the structural integrity of airport pavements in a non-destructive manner. The elastic moduli of the individual pavement layers predicted from the HWD deflection measurements through inverse engineering analysis are effective indicators of pavement layer condition. The primary objective of this study wa...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2006
ISSN: 1812-5654
DOI: 10.3923/jas.2006.1547.1552