Uncertainty assessment in the results of inverse problems: applied to damage detection in masonry dams
| Autor: | Carsten Koenke, Long Nguyen-Tuan, Tom Lahmer, Volker Bettzieche |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
business.industry Computer science 0211 other engineering and technologies Sampling (statistics) Inverse 02 engineering and technology Masonry Inverse problem 020901 industrial engineering & automation Applied mathematics Probability distribution Boundary value problem Structural health monitoring Uncertainty quantification business Safety Risk Reliability and Quality 021101 geological & geomatics engineering |
| Zdroj: | International Journal of Reliability and Safety. 12:2 |
| ISSN: | 1479-3903 1479-389X |
| Popis: | In this work, we study the uncertainties in the results of inverse problems. The inverse problems solve damage identification problems in multifield-multiphase problems for fluid-flow problems in deforming porous materials under non-isothermal boundary conditions. These analyses are important within the structural health monitoring of masonry dams. Results of the inverse problems show a scatter due to different sources of uncertainties in model parameters, measurement data, field of measurements, and in the solving algorithms of the inverse problem. In order to see and analyse the scatter, the inverse problem is solved repeatedly by a sampling process. The uncertainty in the inverse solutions can be quantified by their probability distributions according to the sampling results. |
| Databáze: | OpenAIRE |
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