Development of digital twins is emerging rapidly in geotechnical engineering, and it often
requires real-time updating of numerical models (eg, finite element model) using multiple …

The present paper reviews recent activities on inverse analysis strategies in geotechnical
engineering using Kalman filters, nonlinear Kalman filters, and Markov chain Monte Carlo …

The calibration of discrete element method (DEM) simulations is typically accomplished in a
trial-and-error manner. It generally lacks objectivity and is filled with uncertainties. To deal …

Soil constitutive model parameters can be identified from triaxial test data. The identification
is frequently performed by fitting a constitutive model to triaxial test data from a purely …

Particle filter (PF) is a powerful and commonly used filtering technique based on Sequential
Monte Carlo framework. The main challenge in using PF for nonlinear state and parameter …

The present paper showcases a numerical simulation of the long-term behavior of a
foundation and an evaluation of the pore water pressure on Kobe Airport Island. To calculate …

Our physical understanding of earthquakes, along with our ability to forecast them, is
hampered by limited indications on the current and future state of stress on faults. Integrating …

An accurate seismic response simulation of civil structures requires accounting for the
nonlinear soil response behavior. This, in turn, requires understanding the nonlinear …

Especially in geotechnical engineering, a high level of uncertainty in the design of structures
is present. Standards and guidelines recommend the observational method for projects with …

The present paper addresses the numerical prediction of the behavior of a ground and a
reservoir dyke with a retaining wall at the site of a regulating reservoir whose soft soil …