IoT Applications in Geotechnical Engineering

1. Auflage 2025
ISBN: 978-1-032-88408-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 312 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 453 g

This book offers a comprehensive overview of how the Internet of Things (IoT) is reshaping the management of soil, geotechnical engineering, and environmental observations.

It explores extensive bibliographic research, examples, and case studies to provide nuanced information on improving the soil, evaluating its structural health, and forecasting geological disasters using IoT. Furthermore, it equips the reader with the necessary tools to apply IoT solutions to farming processes and increase the effectiveness of construction. By delving into the new developments within IoT sensors, geotechnical monitoring, and data analysis, the authors provide practical approaches to measuring soil humidity, assessing geological characteristics, and obtaining data through automation. It concludes with a call to pave the way for wide-scale adoption of IoT for environmental supervision, construction activity, and precision farming.

This is a valuable resource for researchers, practitioners, engineers, and students of IoT-based soil management, geotechnical engineering, agriculture, construction, and environmental science.

Zielgruppe

Academic, Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Dhatterwal, Jagjit Singh

Kaswan, Kuldeep Singh

Berwal, Parveen

Goel, Rajesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Bauingenieurwesen Boden- und Felsmechanik, Geotechnik

Inhaltsverzeichnis

- Relevance of IoT for Soil Superiority

- Assessment of Soil Humidity Content using Internet of Things and Conventional Systems

- Soil Statistics Anthology for Investigation and Relevance Using IoT

- Sensor in Geotechnical Engineering for Structural Physical Condition Monitoring

- IoT for Conservation Requirement Examining the Foundation of Households

- IoT-Based Geotechnical Examining Techniques Incorporating Automatic Practices for Statistics Procurement and Amplification

- Internet of Things Based Slope Examining in Geotechnical Engineering

- IoT application in Examining the Various Parameter of Soil and Ambient Constraints

- Revealing and Location of Rock Falls via Seismic and Infrasound Measuring Device

- Advancing Slope Immovability in Undeveloped Cast Mines via Machine Learning Based IoT Structure

- Internet of Things-Based Approach Employing Examining for Probable Landslides

- Patterns and Developments in Internet of Things (IoT) Investigation: Future Efforts in Geotechnical Engineering

- Case Studies on Smart Geotechnical Engineering

Über Autor(innen)

Jagjit Singh Dhatterwal is an Associate Professor in the School of Computer Science and Artificial Intelligence, SR University, Hanumakonda Telangana, India. He is a Member of the Computer Science Teacher Association (CSTA), New York, USA; International Association of Engineers (IAENG), Hong Kong; and International Association of Computer Science and Information Technology (IACSIT), USA. He is also a Professional Member of the Association of Computing Machinery, USA, and IEEE; and a Life Member of the Computer Society of India. His areas of interest include artificial intelligence, BCI, cyborg, and multi-agents technology. He has published several books, journal papers, and conference papers.

Parveen Berwal is a Professor in the Department of Civil Engineering at Galgotias College of Engineering and Technology, Greater Noida. He has an MTech and a PhD in Civil Engineering, with over 12 years of versatile experience in the field. He has 11 patents to his name and has contributed to numerous prestigious accreditations like NAAC, NBA, and NIRF. He has published more than 15 papers in several journals and international conferences. He is an active member of IRED (New York) and IAENG (Hong Kong). His areas of interest include highway construction, utilization of recycled aggregate, and use of waste material in civil engineering.

Kuldeep Singh Kaswan is a Professor in the School of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India. His contributions focus on BCI, cyborgs, and data science. He has 13 years of experience working with global universities like Amity University, Noida, India; Gautam Buddha University, Greater Noida; and PDM University, Bahadurgarh, India. He is also a senior member of IEEE; the Computer Science Teacher Association (CSTA), New York, USA; the International Association of Engineers (IAENG), Hong Kong; and IACSIT, USA. He has published several books, journal chapters, and conference papers.

Rajesh Goyal is a Professor in the School of Construction and Dean at NICMAR University, Pune. He graduated in Civil Engineering from NIT Kurukshetra in 1998. He earned his PhD from IIT Roorkee in 2007. He is a Gold Medallist in MTech (Structures) from Kurukshetra University, Kurukshetra. His main areas of research are high-rise construction, construction management, new construction materials, and wind/tornado effects on structures. He conducted research in Germany, Japan, and the Czech Republic as a Postdoctoral Fellow under the prestigious DAAD Fellowship of Germany, MEXT Fellowship of Japan, and the Academy of Sciences Fellowship of the Czech Republic. Currently, he is a collaborative researcher in the Wind Engineering Research Centre, Tokyo Polytechnic University, Japan. He is also a visiting faculty of Selinus University, Italy. He has more than 50 research papers to his credit and has published in national and international conferences and journals.