Airfield pavement deterioration assessment using stress-dependent neural network models

Structure and Infrastructure Engineering

Volumn 5, Issue 6, 2009, Pages 487-496

  Gopalakrishnan, Kasthurirangan ^a   Ceylan, Halil ^a   Guclu, Alper ^a  

^a Iowa State University   (United States)

Author keywords

Airport flexible pavement systems; Artificial neural networks; NAPTF; Non destructive test; Non linear

Indexed keywords

AIRCRAFT LOADING; AIRFIELD PAVEMENT; AIRPORT FLEXIBLE PAVEMENTS; AIRPORT PAVEMENT; ARTIFICIAL NEURAL NETWORK; ASPHALT CONCRETES; AXISYMMETRIC FINITE ELEMENTS; BOEING 777; FEDERAL AVIATION ADMINISTRATION; FLEXIBLE PAVEMENTS; FORCE AMPLITUDE; NEURAL NETWORK MODEL; NON-DESTRUCTIVE TEST; NON-LINEAR; NONLINEAR STRESS; STRESS-DEPENDENT; STRUCTURAL DETERIORATION; STRUCTURAL EVALUATION; STRUCTURAL MODELS; SUBGRADE MODULUS; TEST DATA; TEST RESULTS; TEST SECTIONS;

AIRCRAFT; AIRPORTS; ASPHALT; BACKPROPAGATION; CONCRETE PAVEMENTS; CONCRETE TESTING; DETERIORATION; MODEL STRUCTURES; NEURAL NETWORKS; ROADS AND STREETS; TEST FACILITIES;

NONDESTRUCTIVE EXAMINATION;

EID: 70449627337     PISSN: 15732479     EISSN: 17448980     Source Type: Journal    
DOI: 10.1080/15732470701311977     Document Type: Article

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