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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국계산역학회 Computers and Concrete, An International Journal Computers and Concrete, An International Journal Vol.25 No.6
- 발행연도
- 2020.1
- 수록면
- 551 - 563 (13page)
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초록· 키워드
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This paper investigates the artificial neural network (ANN) to predict the dimensionless parameters for the maximum contact pressures and contact areas of a contact problem. Firstly, the problem is formulated and solved theoretically by using Theory of Elasticity and Integral Transform Technique. Secondly, the contact problem has been extended based on the ANN. The multilayer perceptron (MLP) with three-layer was used to calculate the contact distances. External load, distance between the two quarter planes, layer heights and material properties were created by giving examples of different values were used at the training and test stages of ANN. Program code was rewritten in C++. Different types of network structures were used in the training process. The accuracy of the trained neural networks for the case was tested using 173 new data which were generated via theoretical solutions so as to determine the best network model. As a result, minimum deviation value (difference between theoretical and C++ ANN results) of was obtained for the network model. Theoretical results were compared with artificial neural network results and well agreements between them were achieved.
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참고문헌 (47)
참고문헌 신청
Wioletta Adamus-Białek / 2017 / A new look at the drug-resistance investigation of uropathogenic E. coli strains / Molecular Biology Reports 44(1):191~202
Dragan Aleksendrić / 2009 / Neural network prediction of disc brake performance / Tribology International 42(7):1074~1080
Khosro Shahpoori Arani / 2019 / Computational optimized finite element modelling of mechanical interaction of concrete with fiber reinforced polymer / Computers and Concrete, An International Journal 23(1):61~68
Ahmed M. Ashteyat / 2018 / Predicting residual compressive strength of self-compacted concrete under various temperatures and relative humidity conditions by artificial neural networks / Computers and Concrete, An International Journal 21(1):47~54
Panagiotis G. Asteris / 2019 / Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars / Computers and Concrete, An International Journal 24(4):329~345
Dragan Aleksendrić / 2009 / Neural network prediction of disc brake performance / Tribology International 42(7):1074~1080
Khosro Shahpoori Arani / 2019 / Computational optimized finite element modelling of mechanical interaction of concrete with fiber reinforced polymer / Computers and Concrete, An International Journal 23(1):61~68
Ahmed M. Ashteyat / 2018 / Predicting residual compressive strength of self-compacted concrete under various temperatures and relative humidity conditions by artificial neural networks / Computers and Concrete, An International Journal 21(1):47~54
Panagiotis G. Asteris / 2019 / Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars / Computers and Concrete, An International Journal 24(4):329~345
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