Application of Machine Learning in Slope Stability Assessment / by Zhang Wengang, Liu Hanlong, Wang Lin, Zhu Xing, Zhang Yanmei.

Format:

Book

Author/Creator:

Wengang, Zhang.

Contributor:

Hanlong, Liu.

Lin, Wang.

Xing, Zhu.

Yanmei, Zhang.

Language:

English

Subjects (All):

Civil engineering.

Artificial intelligence.

Engineering geology.

Civil Engineering.

Artificial Intelligence.

Geoengineering.

Local Subjects:

Civil Engineering.

Artificial Intelligence.

Geoengineering.

Physical Description:

1 online resource (213 pages)

Edition:

1st ed. 2023.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

Summary:

This book focuses on the application of machine learning in slope stability assessment. The contents include: overview of machine learning approaches, the mainstream smart in-situ monitoring techniques, the applications of the main machine learning algorithms, including the supervised learning, unsupervised learning, semi- supervised learning, reinforcement learning, deep learning, ensemble learning, etc., in slope engineering and landslide prevention, introduction of the smart in-situ monitoring and slope stability assessment based on two well-documented case histories, the prediction of slope stability using ensemble learning techniques, the application of Long Short-Term Memory Neural Network and Prophet Algorithm in Slope Displacement Prediction, displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks, seismic stability analysis of slopes subjected to water level changes using gradient boosting algorithms, efficient reliability analysis of slopes in spatially variable soils using XGBoost, efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms, as well as the future work recommendation.The authors also provided their own thoughts learnt from these applications as well as work ongoing and future recommendations.

Contents:

Overview

Remote Sensing Techniques

Machine Learning Algorithms

Real-time Monitoring and Early Warning of Landslide

Prediction of Slope Stability Using Ensemble Learning Techniques

Application of LSTM and Prophet Algorithm in Slope Displacement Prediction

Displacement Prediction of Jiuxianping Landslide using GRU Networks

Efficient Seismic Stability Analysis of Slopes Subjected to Water Level Changes Using Gradient Boosting Algorithms

Efficient Reliability Analysis of Slopes in Spatially Variable Soils Using XGBoost

Efficient Time-variant Reliability Analysis of Bazimen Landslide in the TGRA Using XGBoost and LightGBM

Future work recommendation.

ISBN:

9789819927562

9819927560