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Predicting Capacity of Defected Pipe Under Bending Moment with Data-Driven Model

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Modern Mechanics and Applications

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Water mains which suffered from corrosive environment and various loads/effects. This leads to the simultaneous occurrence of the decrease of the pipe capacity and the appearance of significant bending moments within the pipe. Various investigation in literature focused on the stress of defected pipe due to burst pressure for oil and gas pipe under the high internal pressure, rather than the bended water mains. Primitive studies on this problem are at the observation step without providing an applicable model for practice. Since finding analytical solution for corrosion pipe is a challenging task because of the localized of the defects, the Finite Element Analysis (FEA) is an effective alternative. The critical drawback of FEA is that the problem needs to analysis separately with computational expense and required highly skilled experts. To ease these difficulties, a data-driven model is developed based on the database generated from FEAs and labeled by their results. The application of machine learning techniques improves the accuracy of the conventionally statistical regression models such as linear regression due to the flexible of the model and thus a trained data-driven model is a practical approach to solve the problem.

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Acknowledgements

This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number: 107.02-2020.04.

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Authors and Affiliations

  1. Le Quy Don Technical University, 236 Hoang Quoc Viet, Hanoi, Vietnam

    Hieu C. Phan, Nang D. Bui & Tiep D. Pham

  2. Vietnam National University of Agriculture, Trau Quy, Gia Lam, Hanoi, Vietnam

    Huan T. Duong

Authors
  1. Hieu C. Phan
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  2. Nang D. Bui
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  3. Tiep D. Pham
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  4. Huan T. Duong
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Corresponding author

Correspondence to Hieu C. Phan .

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Editors and Affiliations

  1. Vietnam Academy of Science and Technology, Hanoi, Vietnam

    Nguyen Tien Khiem

  2. National University of Civil Engineering, Hanoi, Vietnam

    Tran Van Lien

  3. Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh, Vietnam

    Nguyen Xuan Hung

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Phan, H.C., Bui, N.D., Pham, T.D., Duong, H.T. (2022). Predicting Capacity of Defected Pipe Under Bending Moment with Data-Driven Model. In: Tien Khiem, N., Van Lien, T., Xuan Hung, N. (eds) Modern Mechanics and Applications. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-3239-6_64

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  • DOI: https://doi.org/10.1007/978-981-16-3239-6_64

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-3238-9

  • Online ISBN: 978-981-16-3239-6

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