Application Of Machine Learning In Slope Stability Assessment
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Author | : Zhang Wengang |
Publisher | : Springer Nature |
Total Pages | : 213 |
Release | : 2023-07-08 |
Genre | : Technology & Engineering |
ISBN | : 9819927560 |
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.
Author | : Wengang Zhang (Civil Engineer) |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Artificial intelligence |
ISBN | : 9787030761903 |
Author | : Yasmin Murad |
Publisher | : Frontiers Media SA |
Total Pages | : 134 |
Release | : 2022-12-16 |
Genre | : Technology & Engineering |
ISBN | : 2832509177 |
Author | : Santosh Kumar Das |
Publisher | : Springer Nature |
Total Pages | : 321 |
Release | : 2020-07-18 |
Genre | : Technology & Engineering |
ISBN | : 303050641X |
This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.
Author | : Amalendu Sinha |
Publisher | : Springer Nature |
Total Pages | : 492 |
Release | : 2023-11-08 |
Genre | : Science |
ISBN | : 3031469666 |
Rising concern about climate change and strong societal expectations with increasing complexities of mineral deposits being mined, call for more innovative exploration and exploitation technologies with higher productivity and recovery including eco-friendly strategies and policies in place for long term sustainability of the mineral Industry. It is now ardently necessary to identify and define the best mining practices addressing societal needs. In view of these, The Mining, Geological and Metallurgical Institute of India (MGMI), established way back on 16th January 1906, and one of the oldest institutions of this kind in the world, is organizing the 10th Asian Mining Congress (AMC) during November 06-09, 2023 in Kolkata, India with the Theme, “Roadmap for Best Mining Practices vis-à-vis Global Transformation”. The AMC and International Mining Exhibition (IME), held concurrently, are flagship international events organized by MGMI biennially since its centenary year. This series have provided ample opportunities to all stakeholders including practicing engineers, machinery manufacturers, planners, regulators, academicians, scientists and policy makers, for sharing their knowledge, experience and expertise and exhibit their products that can benefit the mining and mineral industries not only in the Asian region but also globally. This proceeding of 10th AMC contains the articles written by eminent persons and stalwarts in their respective domains. It is a collection of contemporary articles narrating recent advancements in mining sector.
Author | : Xuan-Nam Bui |
Publisher | : Springer Nature |
Total Pages | : 578 |
Release | : 2020-10-25 |
Genre | : Science |
ISBN | : 3030608395 |
This volume gathers the latest advances, innovations, and applications in the field of mining, geology and geo-spatial technologies, as presented by leading researchers and engineers at the International Conference on Innovations for Sustainable and Responsible Mining (ISRM), held in Hanoi, Vietnam on October 15-17 2020. The contributions cover a diverse range of topics, including mining technology, drilling and blasting engineering, tunneling and geotechnical applications, mineral processing, mine management and economy, environmental risk assessment and management, mining and local development, mined land rehabilitation, water management and hydrogeology, regional Geology and tectonics, spatial engineering for monitoring natural resources and environment change, GIS and remote sensing for natural disaster monitoring, risk mapping and revisualization, natural resources monitoring and management, mine occupational safety and health. Selected by means of a rigorous peer-review process, they will spur novel research directions and foster future multidisciplinary collaborations.
Author | : Wengang Zhang |
Publisher | : Elsevier |
Total Pages | : 484 |
Release | : 2024-05-21 |
Genre | : Science |
ISBN | : 0443138834 |
Design of Deep Braced Excavation in Urban Geotechnical Environments presents the design and calculation of deep braced excavation in urban geotechnical environments considering the soil characteristics of spatial variability and anisotropy, as well as excavation responses of urban adjacent utilities such as pipelines, tunnels, foundation piles and buildings. With economic development and further urbanization, excavation goes deeper, longer, and larger in scale. These conditions require advanced analysis and design methods. The text begins with coverage of overall stability, earth pressure and strut force, retaining wall responses, and ground movements. Numerical modeling and computer codes are outlined in detail. The authors then take a close look at the design of jet grouting for deformation control, instrumentation and back analysis for excavation, and the characteristics of deep braced excavation in complex geological environment. The final chapters conclude with an examination of the determination of excavation responses of urban adjacent utilities and failure analysis based on several case histories. This book provides the latest knowledge in both theory and practical application for geotechnical design engineers working on deep excavation problems. - Presents the latest theory and knowledge surrounding deep braced excavations - Systematically outlines theory, field reports, calculations, and back analysis, making it much easier to master the work relevant with deep braced excavations - Provides detailed visual elements and hyperlinks to additional images and video for case excavations to enhance understanding
Author | : Gopal Krishna Panda |
Publisher | : Springer Nature |
Total Pages | : 722 |
Release | : |
Genre | : |
ISBN | : 3031565916 |
Author | : Gebrail Bekdaş |
Publisher | : Springer Nature |
Total Pages | : 425 |
Release | : |
Genre | : |
ISBN | : 3031659767 |
Author | : |
Publisher | : Bilal Semih Bozdemir |
Total Pages | : 564 |
Release | : |
Genre | : Architecture |
ISBN | : |
As we navigate the challenges posed by fluctuating market demands, environmental regulations, and community expectations, effective site monitoring emerges as an indispensable aspect of sustainable mining practices. The harmonization of geotechnical, hydrological, air quality, and noise monitoring provides a comprehensive approach to identifying potential hazards, thereby facilitating timely interventions and optimizing resource management.