Modeling only constitutes one aspect of decision making. The prevailing limitation of
applying modeling to practice is the absence of explicit consideration of uncertainties. This …

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 …

This paper is motivated by the Time Capsule Project (TCP) of the International Society for
Soil Mechanics and Geotechnical Engineering (ISSMGE). The historical developments of …

ABSTRACT The integration of Large Language Models (LLMs), such as ChatGPT, into the
workflows of geotechnical engineering has a high potential to transform how the discipline …

Large language models (LLMs) have achieved remarkable success in various industrial and
research fields, enhancing work efficiency by assisting machines in comprehending human …

Slope failure mechanism and reliability assessment under rainfall usually not only ignores
the nonstationary characteristics of soil hydraulic and shear strength parameters, but also …

This paper elucidates the challenges and opportunities inherent in integrating data-driven
methodologies into geotechnics, drawing inspiration from the success of materials …

Abstract Characterization and accurate assessment of subsurface soil information from
geological and geotechnical perspectives are the major challenges considering urban …

Geotechnical engineering continuously faces the challenge of accurately assessing a wide
array of physical properties from limited soil data. To solve this problem using a data-driven …

The application of data science technologies in geotechnical and earthquake engineering is
a hot topic. This study aimed to identify the macroscopic dynamic properties of the soil from …