Intelligente Brücke : Zuverlässigkeitsbasierte Bewertung von Brückenbauwerken unter Berücksichtigung von Inspektions- und Überwachungsergebnissen
(2014)- Abstract
- This report describes concepts for an intelligent bridge on the basis of a reliability-based condition assessment utilizing inspection and monitoring data. The central part of the concept is a model describing the bridge system. The overall bridge model is com-prised of deterioration models and a mechanical system model of the structure. The model is a-priori characterized by the input data (such as the geom-etry, the materials, and the utilization of the bridge). Significant uncertainties in the deterioration model-ing as well as the load conditions motivate a proba-bilistic modeling. The model enables a continuously updated proba-bilistic condition assessment. It provides information about the condition and the... (More)
- This report describes concepts for an intelligent bridge on the basis of a reliability-based condition assessment utilizing inspection and monitoring data. The central part of the concept is a model describing the bridge system. The overall bridge model is com-prised of deterioration models and a mechanical system model of the structure. The model is a-priori characterized by the input data (such as the geom-etry, the materials, and the utilization of the bridge). Significant uncertainties in the deterioration model-ing as well as the load conditions motivate a proba-bilistic modeling. The model enables a continuously updated proba-bilistic condition assessment. It provides information about the condition and the reliability of the bridge system and its components and serves as a basis for the planning and the optimization of mainte-nance actions. Inspection, measurement, and monitoring infor-mation are included by updating the model parame-ters. Bayesian updating is utilized for the updating of the model parameters and is performed on the basis of the developed classification of structural in-formation and the corresponding procedures. These methodologies allow to consistently incorporate all available information into the model and the predic-tion. Thereby, the precision and the validity of the data and observations are explicitly accounted for. The condition assessment of the bridge system and its components is updated by updating the model parameters, and maintenance actions can be planned and optimized taking into account all avail-able information in a rational and consistent man-ner. In this way, the intelligent bridge with inspec-tions, measurements, and monitoring information becomes an adaptive system that has the ability to adjust to changes.
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Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d88fe329-fc66-44f8-bec3-7b1a22e2c0b1
- author
- Fischer, J. ; Straub, D. ; Schneider, R. ; Thöns, S. LU and Rücker, W.
- alternative title
- Intelligent Structures : Reliability Based Condition Assessment of Bridges Prototype Utilising Inspection and Monitoring. In German.
- publishing date
- 2014
- type
- Book/Report
- publication status
- published
- subject
- pages
- 111 pages
- publisher
- Fachverlag NW
- ISBN
- 978-3-95606-078-6
- language
- German
- LU publication?
- no
- additional info
- NV - Berichte der Bundesanstalt für Straßenwesen M1 - Brücken- und Ingenieurbau, Heft B 99
- id
- d88fe329-fc66-44f8-bec3-7b1a22e2c0b1
- alternative location
- http://bast.opus.hbz-nrw.de/volltexte/2014/768/pdf/BASt_B_99_ELBA_PDF.pdf
- date added to LUP
- 2021-03-02 10:58:47
- date last changed
- 2021-04-16 14:48:23
@book{d88fe329-fc66-44f8-bec3-7b1a22e2c0b1,
abstract = {{This report describes concepts for an intelligent bridge on the basis of a reliability-based condition assessment utilizing inspection and monitoring data. The central part of the concept is a model describing the bridge system. The overall bridge model is com-prised of deterioration models and a mechanical system model of the structure. The model is a-priori characterized by the input data (such as the geom-etry, the materials, and the utilization of the bridge). Significant uncertainties in the deterioration model-ing as well as the load conditions motivate a proba-bilistic modeling. The model enables a continuously updated proba-bilistic condition assessment. It provides information about the condition and the reliability of the bridge system and its components and serves as a basis for the planning and the optimization of mainte-nance actions. Inspection, measurement, and monitoring infor-mation are included by updating the model parame-ters. Bayesian updating is utilized for the updating of the model parameters and is performed on the basis of the developed classification of structural in-formation and the corresponding procedures. These methodologies allow to consistently incorporate all available information into the model and the predic-tion. Thereby, the precision and the validity of the data and observations are explicitly accounted for. The condition assessment of the bridge system and its components is updated by updating the model parameters, and maintenance actions can be planned and optimized taking into account all avail-able information in a rational and consistent man-ner. In this way, the intelligent bridge with inspec-tions, measurements, and monitoring information becomes an adaptive system that has the ability to adjust to changes. <br/>}},
author = {{Fischer, J. and Straub, D. and Schneider, R. and Thöns, S. and Rücker, W.}},
isbn = {{978-3-95606-078-6}},
language = {{ger}},
publisher = {{Fachverlag NW}},
title = {{Intelligente Brücke : Zuverlässigkeitsbasierte Bewertung von Brückenbauwerken unter Berücksichtigung von Inspektions- und Überwachungsergebnissen}},
url = {{http://bast.opus.hbz-nrw.de/volltexte/2014/768/pdf/BASt_B_99_ELBA_PDF.pdf}},
year = {{2014}},
}