The purpose of this paper is to address the “what,”“why,” and “how” questions posed by
engineers who are not familiar with geotechnical reliability and have not kept abreast of …

The integration of technology and new tools in engineering education has created
opportunities for the advancement of geotechnical engineering education (GEE) …

The complex geological condition encountered during excavation is the key challenge for
tunneling projects. Therefore, tunnel design and construction require a comprehensive …

This paper presents a method of subsurface modelling based on a Markov random field
(MRF) model called Potts model. Potts model is an undirected graphical model and has …

This report presents the key talking points in the First Workshop on the Future of Machine
Learning in Geotechnics (FOMLIG), that include data infrastructure, geotechnical context …

Cultural soil heritages (CSHs) are artifacts with historical, artistic, and scientific significance;
however, they are vulnerable to various hazards, such as weathering, fractures, hollowing …

The potential for machine learning and artificial intelligence to shape geotechnical
engineering practice (and possibly theory) is immense. However, the agenda for machine …

The purpose of Chapter 2 is to present practical tools and guidelines for the uncertainty
quantification of soil and rock properties with a primary focus on enhancing decision-making …

This chapter presents an overview of site characterization information with a focus on its
availability, coverage, data attributes, value to decision making, and challenges. In terms of …

The special collection “Benchmarking Data-Driven Site Characterization” is available in the
ASCE Library (https://ascelibrary. org/ajrua6/benchmarking_data_driven_characterization) …