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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Hlavní autoři:	Wesley B. Richardson, Suné von Solms, Johan Meyer, Charis Harley
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-04-01
Edice:	Sensors
Témata:	cover–subsidence sinkhole exploratory data analysis extreme gradient boost fibre bragg grating machine learning strain data
On-line přístup:	https://www.mdpi.com/1424-8220/25/7/2272
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