Prediction of Cover–Subsidence Sinkhole Volume Using Fibre Bragg Grating Strain Sensor Data

Prediction of Cover–Subsidence Sinkhole Volume Using Fibre Bragg Grating Strain Sensor Data

Sinkholes are geohazards that commonly form in karstifiable terrain and are an ever-present danger to infrastructure and human life. This paper aims to answer the question: Can a cover–subsidence sinkhole’s volume be determined using fibre Bragg grating sensor strain data and machine-learning techni...

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Bibliographic Details
Main Authors: Wesley B. Richardson, Suné von Solms, Johan Meyer, Charis Harley
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
cover–subsidence sinkhole
exploratory data analysis
extreme gradient boost
fibre bragg grating
machine learning
strain data
Online Access:https://www.mdpi.com/1424-8220/25/7/2272
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