Bayesian uncertainty analysis of grouted anchors

This research proposes a data-driven, Bayesian framework to obtain reliability and pullout capacity estimates of individual grouted anchors, using suitability and investigation test data.Two covariance modeling approaches were investigated, the first quantifying the total uncertainty of model and data, the second specifying measurement/observation uncertainty and model uncertainty separately.Both methods deliver plausible predictions, providing, with the probability of failure an additional criterion on which grouted anchors can be assessed.Additionally, the estimated pull-out capacity distributions from suitability tests were in line with measured pull-out capacities obtained from investigation tests, verifying the approach.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.23967/icossar.2025.112
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bayesian uncertainty analysis of grouted anchors

Michael J. Effenberger, C. Moormann
Geophysical Methods and Applications
article

Bayesian uncertainty analysis of grouted anchors

Michael J. Effenberger, C. Moormann
article en

Abstract

This research proposes a data-driven, Bayesian framework to obtain reliability and pullout capacity estimates of individual grouted anchors, using suitability and investigation test data.Two covariance modeling approaches were investigated, the first quantifying the total uncertainty of model and data, the second specifying measurement/observation uncertainty and model uncertainty separately.Both methods deliver plausible predictions, providing, with the probability of failure an additional criterion on which grouted anchors can be assessed.Additionally, the estimated pull-out capacity distributions from suitability tests were in line with measured pull-out capacities obtained from investigation tests, verifying the approach.

Openalex Percentile: Top 82%
Geophysical Methods and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Bayesian uncertainty analysis of grouted anchors — Michael J. Effenberger, C. Moormann · (2025) | TGRS Research Map | TGRS