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Abstract
The authors are seeking new methods for improving the efficiency of the investments associated with the maintenance and operation of existing civil engineering structures. It is demonstrated how the knowledge about the elements of construction and operation phases and their relationships, combined with monitoring data can be used for more effective management of the risks associated with civil engineering projects. The methodology chosen for estimating the probabilities of risk events is known as Bayesian Belief Networks (BBNs). To better illustrate how the proposed approach works the authors use the example of multi-family residential building located in Gdansk made in the wood-frame technology.
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Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 2018 Baltic Geodetic Congress (BGC Geomatics) strony 191 - 195
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Siemaszko A., Grzyl B., Kristowski A..: Evidence-Based Risk Management for Civil Engineering Projects Using Bayesian Belief Networks (BBN), W: 2018 Baltic Geodetic Congress (BGC Geomatics), 2018, IEEE,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/bgc-geomatics.2018.00042
- Verified by:
- Gdańsk University of Technology
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