In this work, the author gives a review of the state of the art on the computational strategies
developed for the analysis of inverse problems. Starting from the definition of the inverse …

A digital twin of a geotechnical project (eg, a reclamation or ground improvement project) is
a virtual model that aims to continuously learn from actual observations (eg, site …

This paper introduces an approach that utilizes field measurements to update the
parameters characterizing spatial variability of soil properties and model bias, leading to …

This paper aims to establish an intelligent procedure that combines the observational
method with the existing deep learning technique for updating deformation of braced …

A simplified framework is proposed for evaluating the probability of “serviceability failure” in
a braced excavation in a spatially random field. Here, the “serviceability failure” is said to …

Abstract Evaluation of aging infrastructure has been a world-wide concern for decades due
to its economic, ecological and societal importance. Existing structures usually have large …

This paper develops a framework of reliability-based multi-objective optimization (RBMO) in
tunnel alignment. This study considers the two targets, the limit support pressure (LSP) and …

Summary Im Kapitel „Eigenschaften von Boden und Fels–ihre Ermittlung im Labor “werden
die für die Untersuchung des Materialverhaltens geeigneten Laborverfahren und die …

Abstract The Fort d'Issy-Vanves-Clamart (FIVC) braced excavation in France is analyzed to
provide insights into the geotechnical serviceability assessment of excavations at great …

Since the geological bodies where tunnels are located have uncertain and complex
characteristics, the inverse problem plays an important role in geotechnical engineering. In …