The purpose of Probabilistic Seismic Hazard Assessment (PSHA) at a construction site is to provide the engineers with a probabilistic estimate of ground-motion level that could be equaled or exceeded at least once in the structure’s design lifetime. A certainty on the predicted ground-motion allows the engineers to confidently optimize structural design and mitigate the risk of extensive damage, or in worst case, a collapse. It is therefore in interest of engineering, insurance, disaster mitigation, and security of society at large, to reduce uncertainties in prediction of design ground-motion levels. In this study, I am concerned with quantifying and reducing the prediction uncertainty of regression-based Ground-Motion Prediction Equations (GMPEs). Essentially, GMPEs are regressed best-fit formulae relating event, path, and site parameters (predictor variables) to observed ground-motion values at the site (prediction variable). GMPEs are characterized by a parametric median (μ) and a non-parametric variance (σ) of prediction.…
Quantification of uncertainties in seismic ground-motion prediction
Quantifizierung von Unsicherheiten bei der seismischen Bodenbewegungsvorhersage
2018
1 Online-Ressource (xii, 101 Seiten, 14738 KB)
Illustrationen, Diagramme, Karten
kumulative Dissertation
Theses
Electronic Resource
English
UNCERTAINTIES QUANTIFICATION OF CFD-BASED FLUTTER PREDICTION
TIBKAT | 2021
|Uncertainties Identification and Quantification
Springer Verlag | 2018
|Rail Ground-Borne Noise and Vibration Prediction Uncertainties
Springer Verlag | 2018
|