MATEC Web Conf.
Volume 199, 2018International Conference on Concrete Repair, Rehabilitation and Retrofitting (ICCRRR 2018)
|Number of page(s)||9|
|Section||Condition Assessment and NDT|
|Published online||31 October 2018|
Reliability assessment of existing bridge constructions based on results of non-destructive testing
Bundesanstalt für Materialforschung und -prüfung (BAM), Division 8.2, 12205 Berlin, Germany
2 HTW Berlin University of Applied Sciences, 12459 Berlin, Germany
3 Bundeswehr University Munich, Institute of structural engineering, 85579 Neubiberg, Germany
* Corresponding author: email@example.com
The non-destructive testing methods available for civil engineering (NDT-CE) enable the measurements of quantitative parameters, which realistically describe the characteristics of existing buildings. In the past, methods for quality evaluation and concepts for validation expanded into NDT-CE to improve the objectivity of measured data. Thereby, a metrological foundation was developed to collect statistically sound and structurally relevant information about the inner construction of structures without destructive interventions. More recently, the demand for recalculations of structural safety was identified. This paper summarizes a basic research study on structural analyses of bridges in combination with NDT. The aim is to use measurement data of nondestructive testing methods as stochastic quantities in static calculations. Therefore, a methodical interface between the guide to the expression of uncertainty in measurement and probabilistic approximation procedures (e.g. FORM) has been proven to be suitable. The motivation is to relate the scientific approach of the structural analysis with real information coming from existing structures and not with those found in the literature. A case study about the probabilistic bending proof of a reinforced concrete bridge with statistically verified data from ultrasonic measurements shows that the measuring results fulfil the requirements concerning precision, trueness, objectivity and reliability.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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