Introduction and Applications of Machine Learning in Geotechnics

Introduction and Applications of Machine Learning in Geotechnics

Table of Contents:
1. A review of machine learning (ML) methods for geotechnical engineering 2. Explainable artificial intelligence (XAI) in geotechnical engineering 3. Regression models for shear wave velocity prediction 4. Optimization-based approaches to predict the optimal dimensions of reinforced concrete (RC) retaining walls 5. Gravelly soil identification using optimized machine learning models 6. Prediction of stress–strain responses from simple shear tests 7. Predicting liquefaction potential from seismic events 8. Estimation of uniaxial compressive strength of soil 9. Prediction of specific penetration resistance of clayey soils 10. Slope stability prediction using machine learning models 11. Deep learning-based object detection approaches for landslide identification 12. Machine learning approaches for predicting soil swelling behavior

About the Author :
Prof. Zong Woo Geem works for the Department of Smart City at Gachon University in South Korea. He has obtained B.Eng. from Chung-Ang University, M.Eng. and Ph.D. from Korea University, and M.Sc. from Johns Hopkins University, and researched at Virginia Tech, University of Maryland - College Park, and Johns Hopkins University. He invented a music-inspired optimization algorithm, Harmony Search (HS), which has been applied to various scientific and engineering problems as well as social and cultural problems. His research interest includes theoretical background (e.g. novel human-experience-based derivative of HS rather than existing analytic-calculus-based derivative) and problem-specific development (e.g. problem-specific operator of HS) of phenomenon-mimicking algorithm and its applications to sustainability & culture issues. Gebrail Bekdaş, Professor, is researcher in Mechanics at Istanbul University - Cerrahpaşa. He obtained his DPhil in Structural Engineering from Istanbul University with a thesis subject of design of cylindrical walls. He was one of the guest editors in 2017 special issue of KSCE Journal of Civil Engineering. He co-chaired 6th International Conference on Harmony Search, Soft Computing and Applications (ICHSA 2020). He has authored about 500 papers for journals and scientific events. Sinan Melih Nigdeli, Professor, is researcher in Mechanics at Istanbul University - Cerrahpaşa. He obtained his DPhil in Structural Engineering from Istanbul Technical University with a thesis subject of active control. He was one of the guest editors in 2017 special issue of KSCE Journal of Civil Engineering. He co-chaired 6th International Conference on Harmony Search, Soft Computing and Applications (ICHSA 2020). He has authored about 500 papers for journals and scientific events. Yaren Aydın is research assistant in Mechanics at Istanbul University - Cerrahpaşa. Yaren Aydın is studying at İstanbul University-Cerrahpaşa, Institute of Postgraduate Education, Department of Civil Engineering, PhD program on the subject of Artificial Intelligence-Machine Learning. In her master thesis, Ms. Yaren AYDIN applied important technical knowledge: computer programming, optimization and analysis of various types of structures. In today's world, most engineering problems are based on maximum efficiency with limited resources, leading to optimization processes that involve civil engineering knowledge and computer programming. She has also carried out various studies on artificial intelligence and machine learning in her articles and papers. There are also studies that combine optimization and artificial intelligence. She has participated in many conferences on optimization and machine learning. Ümit Işıkdağ is currently working as a Professor of Construction Informatics at the Department of Architecture in Mimar Sinan Fine Arts University. He has a PhD in Construction Informatics from the University of Salford, U.K.His current research interests are in Machine and Deep Learning, Internet of Things, 3D GIS, BIM and Structural Equation Modeling. He has started teaching in 1999 and since then he has worked full and part time at (chronological order:) Ege University, Beykent University, Istanbul Kultur University, Istanbul University, Istanbul Esenyurt University, Bogazici University, Istanbul Technical University. In addition, he has worked as a senior researcher at Coventry University (2004), and the University of Central Lancashire (2013). Prof. Tae-Hyung Kim has been serving as a Professor in the Department of Civil Engineering at the National Korea Maritime and Ocean University in South Korea since 2004. He obtained his B.Eng. and M.Eng. from Chung-Ang University in South Korea, and his Ph.D. from the University of Colorado at Boulder, CO. After completing his Ph.D., he conducted research at Lehigh University. He also worked as an engineer for Hyundai Construction. Additionally, he has served as a visiting professor at Oregon State University. He holds a professional engineer license issued by the State of Washington, USA. His main research interests forensic geotechnical engineering, such as the characterization of deep soft soil behavior, and the behavior of seabed and coastal structures due to interactions among waves, seabed, and structures.