Webinar on Practice of Artificial Intelligence in Geotechnical Engineering

Technical Seminar:
Practice of Artificial Intelligence in Geotechnical Engineering

Date, time & venue

28 June 2023 (Wednesday), 17:00-18:00, Seminar via Zoom Meeting

 

Organized by

HKIE Civil Division and The Hong Kong Polytechnic University

Programme Highlight

Deep learning (DL) methods have emerged as one of the most popular and effective artificial intelligence algorithms for solving a range of problems in various industries. In geotechnical engineering, DL methods are becoming increasingly important for addressing complex issues. However, conventional DL methods have limitations in representing multi-level and sequential data, which are typical in geotechnical engineering. These limitations can lead to inaccurate and inefficient models. To overcome these limitations, we propose a novel REMSE loss function and an adaptive activation function tanhLU. These techniques are designed to address the differential performance on multi-level data and vanishing gradient problems. By understanding the underlying mechanisms of these problems, we were able to develop solutions that can significantly improve the performance of DL models in geotechnical engineering. During the talk, I will present several examples of how these improved DL methods can be used to model the monotonic stress-strain relationships of soils and sequential behaviours of shield tunnelling. These examples demonstrate the effectiveness of our proposed techniques and their potential for a range of applications in geotechnical engineering. Overall, the development of improved DL methods is crucial for advancing our understanding of complex phenomena in geotechnical engineering and solving important practical problems.

 

Language

English

 

Fee

Free of Charge.

Speakers

Dr. Ning ZHANG is a research assistant professor in the Department of Civil and Environmental Engineering at the Hong Kong Polytechnic University (PolyU). He obtained his Ph.D degree from Shanghai Jiao Tong University. His research interests cover the inter-disciplinary research fields between artificial intelligence and geotechnical engineering. His ongoing research includes data-coupled numerical methods, deep learning-based constitutive modelling, improvement on deep learning methods in geotechnical engineering, and application of artificial intelligence to shield tunnelling. His work related to shield tunnelling is awarded as “China Excellent Patent” in 2020. He is also the corresponding member of the Chinese Subsociety for Intelligent Monitoring in Geoengineering (since 2020).

Registration & Enquiries

Please complete the on-line registration at https://us02web.zoom.us/webinar/register/WN_V34ystG1Sj25Avwm4HK1Rg. The number of participants is limited to 500 on a first-come-first served basis. Priority will be given to members of the Civil Division.

Email registration will not be accepted. Successful applicants will be informed by email and provided a link to the Zoom Meeting at the designated time slot. Participants need to sign in using the membership no. and name entered at the time of registration. A CPD certificate will be issued 3 weeks after the seminar based on this membership no. and name.

For enquiries, please contact Mr. Alan Yan via email: alanyan@pyengineering.com.