In-plane and out-of-plane bending moments and local stresses in mooring chain links using machine learning technique
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
This paper proposes an efficient approach based on a machine learning technique to predict the local stresses on mooring chain links. Three-link and multi-link finite element analyses were conducted for a target chain link of D107 with steel grade R4; 24,000 and 8000 analyses were performed, respectively. Two serial Artificial Neural Network (ANN) models based on a deep multi-layer perceptron technique were developed. The first ANN model corresponds to multi-link analyses, where the input neurons were the tension force and angle and the output neurons were the interlink angles. The second ANN model corresponds to the three-link analyses with the input neurons of the tension force, interlink angle, and the local stress positions, and the output neurons of the local stress. The predicted local stresses for the untrained cases were reliable compared to the numerical simulation results.
Abstract
This paper proposes an efficient approach based on a machine learning technique to predict the local stresses on mooring chain links. Three-link and multi-link finite element analyses were conducted for a target chain link of D107 with steel grade R4; 24,000 and 8000 analyses were performed, respectively. Two serial Artificial Neural Network (ANN) models based on a deep multi-layer perceptron technique were developed. The first ANN model corresponds to multi-link analyses, where the input neurons were the tension force and angle and the output neurons were the interlink angles. The second ANN model corresponds to the three-link analyses with the input neurons of the tension force, interlink angle, and the local stress positions, and the output neurons of the local stress. The predicted local stresses for the untrained cases were reliable compared to the numerical simulation results.
참고문헌 (19)
- Aqdam, H. R., "Health monitoring of mooring lines in floating structures using artificial neural networks", Ocean Eng, 164, pp.284~297 (2018)
- Bureau Veritas, "Fatigue of Top Chain of Mooring Lines Due to In-Plane and Out-Of-Plane Bendings, Guidance Note NI 604", ~ (2014)
- Choung, J., "A novel approach to predict mooring chain fatigue considering out-of-plane and in-plane bending effects", Proceedings of the International Conference on Ships and Offshore Structures (2016)
- Choung, J., "Study on prediction of stresses by out-of-plane and inplane bending moments in offshore mooring chain", Ships Offshore Struct, 13, pp.98~112 (2018)
- "Keras: the Python Deep Learning Library" (2015)[URL]
- de Pina, A. A., "Artificial Neural Networks for the analysis of spread-mooring configurations for floating production systems", Appl. Ocean Res, 59, pp.254~264 (2016)
- DNV, G. L., "Offshore Mooring Chain. DNVGL-OS-E302", ~ (2015)
- Jean, P., "Failure of Chains by Bending on Deepwater Mooring Systems", Proceeding of Offshore Technology Conference (2005)
- Kang, J. Y., "Neural network application in fatigue damage analysis under multiaxial random loadings", Int. J. Fatig, 28(2), pp.132~140 (2006)
- Yooil Kim, "Fatigue analysis on the mooring chain of a spread moored FPSO considering the OPB and IPB", International Journal of Naval Architecture and Ocean Engineering, 11(1), pp.178~201 (2019), 대한조선학회[DOI]
- Lee, J. B., "Local stress prediction due to in-plane and out-of-plane bending moments in mooring chain links using artificial neural networks", Proceedings of the International Conference on Ships and Offshore Structures (2019)
- Li, C. B., "Wide-banded fatigue damage evaluation of Catenary mooring lines using various Artificial Neural Networks models", Mar. Struct, 60, pp.186~200 (2018)
- 임유창, "부유식 해양플랜트 계류 체인의 면외굽힘 거동에 대한 연구", 대한조선학회 논문집, 47(4), pp.580~588 (2010), 대한조선학회
- Melis, C., "Out-of-Plane bending testing of chain links", Proceedings of International Conference on Offshore Mechanics and Arctic Engineering (2005)
- Rampi, L., "Chain Out of Plane Bending(OPB)Joint Industry Project(JIP)Summary and Main Results", Proceeding of Offshore Technology Conference (2015)
- Rampi, L., "Chain out of plane bending(OPB)fatigue joint industry project(JIP)static test program and OPB interlink stiffness", Proceedings of International Conference on Ocean, Offshore and Arctic Engineering (2016)
- Rampi, L., "Chain out of plane bending(OPB)fatigue joint industry project(JIP)fatigue test program results and methodology", Proceedings of International Conference on Ocean, Offshore and Arctic Engineering (2016)
- Simulia, "ABAQUS", Standard Version 2018, 2018
- Vargas, P., "FEA of out-of-plane fatigue mechanism of chain links", Proceedings of International Conference on Offshore Mechanics and Arctic Engineering (2005)