Prediction of Ice-Induced Subgouge Soil Deformation in Sand Using Group Method of Data Handling–Based Neural Network
Publication: Journal of Cold Regions Engineering
Volume 37, Issue 2
Abstract
Ice gouging is one of the critical threats to the subsea pipelines crossing the Arctic and neighboring shallow waters. The burial of subsea pipelines is considered a viable solution to protect them against ice gouging attacks. The pipeline is usually buried below the deepest recorded ice gouges in that specific geographical location but is still threatened by subgouge soil deformation that is extended down the ice tip due to the shear resistance of the seabed soil. Determination of the subgouge soil deformations is a challenging design aspect that usually requires costly experimental and numerical studies to ensure the structural integrity of the buried pipeline against ice gouging. In this paper, an alternative and cost-effective methodology has been proposed using the group method of data handling (GMDH) to simulate the horizontal and vertical subgouge soil deformation profiles in the sandy seabed. Ten GMDH models (GMDH 1 to GMDH 10) were defined by using the governing input parameters comprising the soil depth ratio, the gouge depth ratio, the shear strength of seabed soil, the attack angle, the frontal berm height ratio, the horizontal and vertical loads, and the ice dynamics. The results from the best GMDH models were compared with the artificial neural network and empirical approaches, which showed a robust performance.
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Acknowledgments
The authors gratefully acknowledge the financial support of the “Wood Group,” which established a Research Chair program in Arctic and Harsh Environment Engineering at the Memorial University of Newfoundland, the “Natural Science and Engineering Research Council of Canada (NSERC),” and the “Newfoundland Research and Development Corporation (RDC) (now TCII)” through “Collaborative Research and Developments Grants (CRD).” Special thanks are extended to Memorial University for providing excellent resources to conduct this research.
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Information & Authors
Information
Published In
Journal of Cold Regions Engineering
Volume 37 • Issue 2 • June 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Apr 10, 2020
Accepted: Nov 11, 2022
Published online: Jan 27, 2023
Published in print: Jun 1, 2023
Discussion open until: Jun 27, 2023
ASCE Technical Topics:
- Analysis (by type)
- Artificial intelligence and machine learning
- Buried pipes
- Cold regions engineering
- Computer programming
- Computing in civil engineering
- Continuum mechanics
- Data analysis
- Deformation (mechanics)
- Engineering fundamentals
- Engineering mechanics
- Geomechanics
- Geotechnical engineering
- Ice
- Infrastructure
- Methodology (by type)
- Neural networks
- Offshore pipelines
- Pipeline systems
- Pipelines
- Pipes
- Research methods (by type)
- Sensitivity analysis
- Soil analysis
- Soil deformation
- Soil mechanics
- Soil properties
- Solid mechanics
- Structural mechanics
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