Predicting soil settlement with quantified uncertainties by using ensemble Kalman filtering

• Published in: Engineering geology Vol. 276; p. 105753
• Main Authors: Tao, Yuanqin, Sun, Honglei, Cai, Yuanqiang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2020
• Subjects: airports; Bayesian theory; Ensemble Kalman filtering; geology; Inverse analysis; prediction; soil; Soil settlement; uncertainty; Uncertainty quantification; Inverse analysis; Soil settlement; Uncertainty quantification; Ensemble Kalman filtering

Soil settlement is one of the most common and critical issues in geologic and geotechnical engineering. Due to various sources of uncertainties, it is hard to predict soil settlement accurately. An inverse analysis using the information provided by field measurements is desirable for prediction with...