Special Session

Application of Machine Learning and Big Data in Geotechnical and Geohazard Investigations

​

Session Chairs

Wengang Zhang, Chongqing University

​

Co-chair:

Chongzhi Wu, Chongqing University

Songlin Liu, Chongqing University

​

In recent years, we have entered the so-called Fourth Paradigm in which observational data is threatening to overwhelm scientists. Big Data is characterized by the rule of the five Vs: Volume of data, their Variety, Velocity, Value and Veracity. The concept of Big Data naturally agrees well with the geoengineering and geoscience applications, in which the exciting field of sensing technology is advancing ominously. This understanding will come through the analysis of increasingly large geo-datasets and from computationally intensive simulations. As a result, large-scale, comprehensive, multidirectional and multifield geotechnical monitoring and geohazard investigation is becoming a reality. Geo-scientists and engineers are faced with the challenge of extracting as much useful information as possible and gaining new insights from these big data, simulations, and interplay between the two. The in-depth analysis capabilities such as correction analysis, casual analysis, decision support as well as the rapidly evolving field of AI facilitates to process the big data expansively. Furthermore, the site monitoring will play an important role providing the most valuable experimental data, theoretical analysis and numerical simulation. On the other hand, scientific geoengineering and geoscience data, and the processes used to analyze it, may differ substantially from those encountered with big data in other fields. Therefore, the geotechnical and geological researchers should pay more attention to AI and big data research, enhancing the Application of AI in geotechnical and geohazard investigations.

 

This session attempts to collect at least 8 high quality articles, as well as the corresponding oral or poster presentations. Topics related to the scope of this SI include, but are not limited to, the application of:

• Statistical Analysis

• Artificial Intelligence

• Machine Learning

• Deep Learning

• Combined use of data-driven and physics-based approaches to geoengineering and geoscientific issues.

​

Application of artificial intelligence in geotechnical and geohazard investigations include (but not limited to):

• geotechnics

• geohazards (landslides etc.)

• geomechanics

• geomorphology

• site investigation

• zone mapping or susceptibility assessment and various other widely-concerned themes in academia, industry and beyond.

​