Application of Artificial Intelligence Technology in Risk Assessment and Management of Pile Foundation Engineering of Offshore Wind Power Projects
Author:
Affiliation:
1. School of Architectural Engineering, Guangzhou Institute of Science and Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3675249.3675286
Reference20 articles.
1. Strong form meshfree collocation method for frictional contact between a rigid pile and an elastic foundation
2. A TLBO-optimized artificial neural network for modeling axial capacity of pile foundations
3. Linear programming method for buckling critical load of foundation piles in nonlinear foundation
4. Image encryption for offshore wind power based on 2D-LCLM and Zhou Yi eight trigrams
5. Analysis of early fault vibration detection and analysis of offshore wind power transmission based on deep neural network
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