재료 물성치의 불확실성을 고려한 포장구조체의 건전성 평가

Title
재료 물성치의 불확실성을 고려한 포장구조체의 건전성 평가
Alternative Title
Integrity Assessment of Asphalt Concrete Pavement System Considering Uncertainties in Material Properties
Author(s)
이진학; 김재민; 김영상; 문성호
KIOST Author(s)
Yi, Jin Hak(이진학)
Publication Year
2007-04-12
Abstract
Structural integrity assessment technique for pavement system is studied considering the uncertainties among the material properties. The artificial neural networks technique is applied for the inverse analysis to estimate the elastic modulus based on the measured deflections from the FWD test. A computer code based on the spectral element method was developed for the accurate and fast analysis of the multi-layered soil structures, and the developed program was used for generating the training and testing patterns for the neural network. Neural networks was applied to estimate the elastic modulus of pavement system using the maximum deflections with and without the uncertainties in the material properties. It was found that the estimation results by the conventional neural networks were very poor when there exist the uncertainties and the estimation results could be significantly improved by adopting the proposed method for generating training patterns considering the uncertainties among material properties.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/30627
Bibliographic Citation
한국전산구조공학회 2007년도 정기학술대회, pp.49 - 54, 2007
Publisher
한국전산구조공학회
Type
Conference
Language
Korean
Publisher
한국전산구조공학회
Related Researcher
Research Interests

Ocean Energy-Tidal Current Energy Converter System,Infrastructure Management-Structural Health Monitoring,Offshore Wind,해양에너지-조류발전시스템,시설물 유지관리-구조건전성 평가,해상풍력

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