20. Applications in Geotechnical Engineering and Slope Stability Analysis
The chapter discusses the role of robotics and automation in geotechnical engineering, emphasizing their applications in slope stability analysis. It covers various robotic systems used for soil investigation and highlights advancements in data acquisition through IoT and AI integration. Additionally, it explores the challenges, case studies, and future directions in automation within geotechnical applications.
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What we have learnt
- Robotics and automation greatly enhance the safety and efficiency of geotechnical investigations.
- Machine learning algorithms improve decision-making in slope stability analysis.
- Integrating IoT and cloud computing plays a crucial role in real-time monitoring and data management.
Key Concepts
- -- Robotics in Geotechnical Engineering
- The use of robotic systems to automate tasks such as soil sampling, monitoring, and analysis in geotechnical applications.
- -- Machine Learning (ML)
- A subset of artificial intelligence that focuses on building systems that learn from data to predict outcomes, such as slope failures.
- -- Internet of Things (IoT)
- A network of interconnected devices that collect and exchange data, crucial for real-time geotechnical monitoring.
- -- Slope Stability Analysis
- The assessment of the stability of slopes under various conditions using automated methods for accurate monitoring.
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