재료 물성치의 불확실성을 고려한 포장구조체의 건전성 평가
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Title
- 재료 물성치의 불확실성을 고려한 포장구조체의 건전성 평가
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Alternative Title
- Integrity Assessment of Asphalt Concrete Pavement System Considering Uncertainties in Material Properties
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Author(s)
- 이진학; 김재민; 김영상; 문성호
- KIOST Author(s)
- Yi, Jin-Hak(이진학)
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Alternative Author(s)
- 이진학
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Publication Year
- 2007-04-12
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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.
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/30627
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Bibliographic Citation
- 한국전산구조공학회 2007년도 정기학술대회, pp.49 - 54, 2007
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Publisher
- 한국전산구조공학회
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Type
- Conference
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Language
- Korean
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