Overview of the service life and maintenance problem probabilistic design
conference paper
The service life of a building or structure is determined by the design and construction in combination with the ageing and the maintenance during use. To get grip on this combination it has advantage to present the functioning of the building or the structure on a performance level. As ageing will influence the performance, the combined effect of performance and ageing should be considered. By requiring a minimum limit for the performance the end of the service life or the moment when maintenance is necessary can be defined.
It is possible to make a mathematical model for the performances of a building or structure including the process of ageing. It is demonstrated in the paper that this can be done in a similar way as the modelling for the structural design. This is demonstrated by means of a simple beam on two supports that is submitted to a linear degradation process. A calculation example is given in the paper.
Once the mathematical model for the performance is available a further step in the modelling is necessary. The parameters in the model will in principle be stochastic; the actual value of a parameter is subjected to scatter. This implies that the probability can only be described by probability density functions for all parameters. Therefore it is necessary to model the uncertainties and add them to the mathematica' performance model. By means of an extension of the previous mentioned calculation example it is demonstrated how to do this.
The paper finalise with a summary of a probabilistic service life design process that results from the performance and probabilistic modelling.
It is possible to make a mathematical model for the performances of a building or structure including the process of ageing. It is demonstrated in the paper that this can be done in a similar way as the modelling for the structural design. This is demonstrated by means of a simple beam on two supports that is submitted to a linear degradation process. A calculation example is given in the paper.
Once the mathematical model for the performance is available a further step in the modelling is necessary. The parameters in the model will in principle be stochastic; the actual value of a parameter is subjected to scatter. This implies that the probability can only be described by probability density functions for all parameters. Therefore it is necessary to model the uncertainties and add them to the mathematica' performance model. By means of an extension of the previous mentioned calculation example it is demonstrated how to do this.
The paper finalise with a summary of a probabilistic service life design process that results from the performance and probabilistic modelling.
TNO Identifier
330157
ISBN
0-643-06827-9
Source title
9th International Conference on Durability of Building Materials and Components (9DBMC), Brisbane Convention Centre, Brisbane, Australia, 17-20 March (Volume 3)
Pages
1-10
Files
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