Geo-Sustainnovation for Resilient Society (eBook, PDF)
Select Proceedings of CREST 2023
213,99 €
inkl. MwSt.
Sofort per Download lieferbar
Geo-Sustainnovation for Resilient Society (eBook, PDF)
Select Proceedings of CREST 2023
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
This book presents select proceedings of the 2nd International Conference on Construction Resources for Environmentally Sustainable Technologies (CREST 2023), and focuses on sustainability, promotion of new ideas and innovations in design, construction and maintenance of geotechnical structures with the aim of contributing towards climate change adaptation and disaster resiliency to meet the UN Sustainable Development Goals (SDGs). It presents latest research, information, technological advancement, practical challenges encountered, and solutions adopted in the field of geotechnical…mehr
- Geräte: PC
- ohne Kopierschutz
- eBook Hilfe
- Größe: 21.23MB
- Upload möglich
Andere Kunden interessierten sich auch für
- Natural Geo-Disasters and Resiliency (eBook, PDF)213,99 €
- Climate Change Adaptation from Geotechnical Perspectives (eBook, PDF)213,99 €
- Sustainable Geo-Technologies for Climate Change Adaptation (eBook, PDF)96,29 €
- Recent Advances in Sustainable Environment (eBook, PDF)341,33 €
- Sustainable Materials (eBook, PDF)192,59 €
- Geoenvironmental Engineering (eBook, PDF)213,99 €
- Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 (eBook, PDF)255,73 €
-
-
-
This book presents select proceedings of the 2nd International Conference on Construction Resources for Environmentally Sustainable Technologies (CREST 2023), and focuses on sustainability, promotion of new ideas and innovations in design, construction and maintenance of geotechnical structures with the aim of contributing towards climate change adaptation and disaster resiliency to meet the UN Sustainable Development Goals (SDGs). It presents latest research, information, technological advancement, practical challenges encountered, and solutions adopted in the field of geotechnical engineering for sustainable infrastructure towards climate change adaptation. This volume will be of interest to those in academia and industry alike.
Produktdetails
- Produktdetails
- Verlag: Springer Nature Singapore
- Seitenzahl: 404
- Erscheinungstermin: 3. Januar 2024
- Englisch
- ISBN-13: 9789819992195
- Artikelnr.: 70131149
- Verlag: Springer Nature Singapore
- Seitenzahl: 404
- Erscheinungstermin: 3. Januar 2024
- Englisch
- ISBN-13: 9789819992195
- Artikelnr.: 70131149
Prof. Hemanta Hazarika is currently a professor in the Graduate School of Engineering and Department of Interdisciplinary Science and Innovation, Kyushu University, Fukuoka, Japan. Professor Hazarika’s research activities include disaster prevention and mitigation, soil-structure interaction, stability of soil-structures during earthquakes and tsunami, ground improvement, application of recycled waste and lightweight materials in constructions, stability of cut slopes, and landslides and their protection. He has more than 350 technical papers in various international journals, international conferences, workshops and symposia to date. He has also authored two textbooks on soil mechanics and their Japanese versions. In addition, Prof. Hazarika served as the editor of six books on diverse topics. Prof. Hazarika has several years of experience in teaching, research as well as geotechnical practice and consulting both within and outside Japan. He is currently a foreign expert of the world’s first research center in Palu, Indonesia on liquefaction research called “The National Research Center for Liquefaction.” Currently, Prof. Hazarika is the chairman of Asian Technical Committee on “Geotechnical Mitigation and Adaptation to Climate Change-induced Geo-disasters in Asia-Pacific Regions” of International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE). He is also Founding President of a general incorporated corporation called GLOSS (Global Society for Smart Geo-Sustainnovation).
Prof. Stuart Haigh is a professor in Geotechnical Engineering at Cambridge University and a fellow of Trinity College. In addition, Prof. Stuart Haigh is Assistant Director of the Schofield Centre. He has a wide range of research interests centered around physical modelling at 1g and utilizing centrifuges and numerical modelling using FE and MPM. His 25 years of experience in developing complex centrifuge experiments includes developing earthquake actuators, high-g robots, and an in-flight tunnel boring machine. He also delivered the Geotechnic Lecture on Mobilizable strength design for flexible retaining walls in November 2021. He has published more than 100 papers in several journals of repute.
Dr. Babloo Chaudhary is an assistant professor in the Department of Civil Engineering at National Institute of Technology Karnataka (NITK) Surathkal, India. He completed his PhD from Kyushu University, Japan. He was a postdoctoral fellow at Kyoto University, Japan. His research activities include geo-disaster prevention and mitigation, dynamic soil-structures interaction, coastal geotechnics, renewal energy, ground improvement, energy geotechnics. His expertise extends from physical model tests, including 1g model tests and centrifuge model tests, to numerical simulation in the domain of geotechnical Engineering. He has published around 100 technical papers in various international and national journals, conferences,workshops and symposia. Dr. Chaudhary is recipient of Shri M.S. Jain Biennial Award given by Indian Geotechnical Society in 2017.
Dr. Masanori Murai has had a distinguished career as a senior engineer with Shimizu Corporation, a leading construction company in Japan, after receiving his Ph.D. from Kochi University in Japan. Throughout his career, he has specialized in the field of geotechnical engineering and has played a key role in the design, construction, and maintenance of a wide range of infrastructure projects. In addition to his work on infrastructure projects, Dr. Murai has also been involved in research and development activities related to geotechnical engineering. He has published numerous papers in peer-reviewed journals and presented at conferences around the world, sharing his expertise and insights with other professionals in the field. Overall, Dr. Murai's career at Shimizu Corporation has been characterized by a strong focus on safety, sustainability, and innovation. His expertise in geotechnical engineering and commitment to excellence have made him an asset to the company and the field of engineering as a whole.
Dr. Suman Manandhar is a Research Fellow in the Department of Civil Engineering at Kyushu University, Japan. He completed his post-doctoral research from Kyushu University and enhanced his career from a lecturer to guest/visiting associate professor at the Institute of Lowland and Marin Research, Saga University, Japan. He also served in different academic and professional sectors in Nepal. He is one of the founder members of Global Institute for Interdisciplinary Studies (GIIS) in Nepal. He has published more than 70 papers in refereed journal and proceedings in different SCI and Scopus-indexed journals. His major research areas cover risk sensitive land use plan and multi-hazard assessments, geo-disasters, DRRM, foundation, ground improvement, stability analysis, liquefaction analysis,numerical modeling, and compaction on embankment slopes.
Prof. Stuart Haigh is a professor in Geotechnical Engineering at Cambridge University and a fellow of Trinity College. In addition, Prof. Stuart Haigh is Assistant Director of the Schofield Centre. He has a wide range of research interests centered around physical modelling at 1g and utilizing centrifuges and numerical modelling using FE and MPM. His 25 years of experience in developing complex centrifuge experiments includes developing earthquake actuators, high-g robots, and an in-flight tunnel boring machine. He also delivered the Geotechnic Lecture on Mobilizable strength design for flexible retaining walls in November 2021. He has published more than 100 papers in several journals of repute.
Dr. Babloo Chaudhary is an assistant professor in the Department of Civil Engineering at National Institute of Technology Karnataka (NITK) Surathkal, India. He completed his PhD from Kyushu University, Japan. He was a postdoctoral fellow at Kyoto University, Japan. His research activities include geo-disaster prevention and mitigation, dynamic soil-structures interaction, coastal geotechnics, renewal energy, ground improvement, energy geotechnics. His expertise extends from physical model tests, including 1g model tests and centrifuge model tests, to numerical simulation in the domain of geotechnical Engineering. He has published around 100 technical papers in various international and national journals, conferences,workshops and symposia. Dr. Chaudhary is recipient of Shri M.S. Jain Biennial Award given by Indian Geotechnical Society in 2017.
Dr. Masanori Murai has had a distinguished career as a senior engineer with Shimizu Corporation, a leading construction company in Japan, after receiving his Ph.D. from Kochi University in Japan. Throughout his career, he has specialized in the field of geotechnical engineering and has played a key role in the design, construction, and maintenance of a wide range of infrastructure projects. In addition to his work on infrastructure projects, Dr. Murai has also been involved in research and development activities related to geotechnical engineering. He has published numerous papers in peer-reviewed journals and presented at conferences around the world, sharing his expertise and insights with other professionals in the field. Overall, Dr. Murai's career at Shimizu Corporation has been characterized by a strong focus on safety, sustainability, and innovation. His expertise in geotechnical engineering and commitment to excellence have made him an asset to the company and the field of engineering as a whole.
Dr. Suman Manandhar is a Research Fellow in the Department of Civil Engineering at Kyushu University, Japan. He completed his post-doctoral research from Kyushu University and enhanced his career from a lecturer to guest/visiting associate professor at the Institute of Lowland and Marin Research, Saga University, Japan. He also served in different academic and professional sectors in Nepal. He is one of the founder members of Global Institute for Interdisciplinary Studies (GIIS) in Nepal. He has published more than 70 papers in refereed journal and proceedings in different SCI and Scopus-indexed journals. His major research areas cover risk sensitive land use plan and multi-hazard assessments, geo-disasters, DRRM, foundation, ground improvement, stability analysis, liquefaction analysis,numerical modeling, and compaction on embankment slopes.
PART I: Information Based (AI, IoT, VR etc.) Measures for Natural Disaster Mitigation.- Chapter 1. A Stratigraphic Classification Estimation Method by the D-Layer Neural Networks.- Chapter 2. An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time.- Chapter 3. Development and Applicability Assessment of a Tunnel Face Monitoring System Against Tunnel Face Collapse.- Chapter 4. Development of Real-time Measuring System of Tip Position with Deep Mixing Methods.- Chapter 5. Evaluation of Landslide Triggering Mechanism during Rainfall in Slopes Containing Vertical Cracks.- Chapter 6. Landslide Risk Prediction and Regional Dependence Evaluation Based on Disaster History Using Machine Learning and Deep Learning.- Chapter 7. Machine Learning for Estimation of Surface Ground Structure by H/V Spectral Ratio.- Chapter 8. Regular Deformation-Based Landslide Potential Detection with DInSAR - A Case Study of Taipei City.- Chapter 9. Utilization of AI-BasedDiagnostic Imaging for Advanced and Efficient Tunnel Maintenance. etc.
PART I: Information Based (AI, IoT, VR etc.) Measures for Natural Disaster Mitigation.- Chapter 1. A Stratigraphic Classification Estimation Method by the D-Layer Neural Networks.- Chapter 2. An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time.- Chapter 3. Development and Applicability Assessment of a Tunnel Face Monitoring System Against Tunnel Face Collapse.- Chapter 4. Development of Real-time Measuring System of Tip Position with Deep Mixing Methods.- Chapter 5. Evaluation of Landslide Triggering Mechanism during Rainfall in Slopes Containing Vertical Cracks.- Chapter 6. Landslide Risk Prediction and Regional Dependence Evaluation Based on Disaster History Using Machine Learning and Deep Learning.- Chapter 7. Machine Learning for Estimation of Surface Ground Structure by H/V Spectral Ratio.- Chapter 8. Regular Deformation-Based Landslide Potential Detection with DInSAR - A Case Study of Taipei City.- Chapter 9. Utilization of AI-BasedDiagnostic Imaging for Advanced and Efficient Tunnel Maintenance. etc.
PART I: Information Based (AI, IoT, VR etc.) Measures for Natural Disaster Mitigation.- Chapter 1. A Stratigraphic Classification Estimation Method by the D-Layer Neural Networks.- Chapter 2. An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time.- Chapter 3. Development and Applicability Assessment of a Tunnel Face Monitoring System Against Tunnel Face Collapse.- Chapter 4. Development of Real-time Measuring System of Tip Position with Deep Mixing Methods.- Chapter 5. Evaluation of Landslide Triggering Mechanism during Rainfall in Slopes Containing Vertical Cracks.- Chapter 6. Landslide Risk Prediction and Regional Dependence Evaluation Based on Disaster History Using Machine Learning and Deep Learning.- Chapter 7. Machine Learning for Estimation of Surface Ground Structure by H/V Spectral Ratio.- Chapter 8. Regular Deformation-Based Landslide Potential Detection with DInSAR - A Case Study of Taipei City.- Chapter 9. Utilization of AI-BasedDiagnostic Imaging for Advanced and Efficient Tunnel Maintenance. etc.
PART I: Information Based (AI, IoT, VR etc.) Measures for Natural Disaster Mitigation.- Chapter 1. A Stratigraphic Classification Estimation Method by the D-Layer Neural Networks.- Chapter 2. An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time.- Chapter 3. Development and Applicability Assessment of a Tunnel Face Monitoring System Against Tunnel Face Collapse.- Chapter 4. Development of Real-time Measuring System of Tip Position with Deep Mixing Methods.- Chapter 5. Evaluation of Landslide Triggering Mechanism during Rainfall in Slopes Containing Vertical Cracks.- Chapter 6. Landslide Risk Prediction and Regional Dependence Evaluation Based on Disaster History Using Machine Learning and Deep Learning.- Chapter 7. Machine Learning for Estimation of Surface Ground Structure by H/V Spectral Ratio.- Chapter 8. Regular Deformation-Based Landslide Potential Detection with DInSAR - A Case Study of Taipei City.- Chapter 9. Utilization of AI-BasedDiagnostic Imaging for Advanced and Efficient Tunnel Maintenance. etc.