A machine learning framework for in situ sensing of pile length from seismic cone penetrometer data

Earth & Environmental Sciences

• penetrometer 100%
• machine learning 77%
• pile 67%
• in situ 47%
• finite element method 27%
• elastodynamics 14%
• steel 14%
• data interpretation 10%
• inverse problem 10%
• seismic wave 9%
• savings 9%
• train 9%
• vibration 9%
• simulation 8%
• screening 8%
• data analysis 8%
• uplift 7%
• replacement 7%
• pipe 7%
• program 5%
• project 5%
• cost 5%

Engineering & Materials Science

• Piles 74%
• Cones 72%
• Machine learning 56%
• Towers 26%
• Learning algorithms 24%
• Finite element method 17%
• Seismic waves 12%
• Steel pipe 11%
• Inverse problems 10%
• Screening 9%
• Steel 5%
• Testing 4%
• Costs 3%