Matches in UGent Biblio for { ?s ?p During the last decades, numerous numerical calculation methods were developed in order to quantify structural safety. These developments enabled to provide a quantitative answer to the question "How safe are our concrete structures ?" and they made it possible to compare different influencing factors. However, the positive effect of quality control on the safety level is most often not considered in these calculations, although this is an important consideration when designing or evaluating performance-based concrete structures. Concrete production is subjected to strict quality requirements. Due to this quality control, the properties of the accepted material are considerably higher than can be expected without quality inspection. Furthermore, this improved quality leads to an increased safety of concrete structures. In this PhD thesis, different aspects of contemporary quality and conformity control for concrete are described in a probabilistic framework and the consequences with respect to the safety level of concrete structures are quantified. Therefore, the current conformity criteria for concrete compressive strength are systematically evaluated in a probabilistic way, as well as in case the family concept is used for the combined quality inspection of related concrete mixes. Further, also an original methodology is proposed to use production control for the conformity evaluation of concrete. The filtering effect of these different types of quality control on the strength distribution of concrete and the safety level of concrete structures is quantified and compared. In order to study the different research aspects, numerous recent developments with respect to Bayesian statistics and numerical simulation techniques are applied. Furthermore, an original Bayesian regression technique is proposed and different assessment methodes for determining the characteristic concrete compressive strength in existing concrete structures are evaluated and compared. With respect to the latter aspect, an original Bayesian method is proposed that allows to take prior information into account when assessing the characteristic concrete compressive strength in existing structures, which is of particular importance in case only a limited number of test samples are available.. }
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- aggregation abstract "During the last decades, numerous numerical calculation methods were developed in order to quantify structural safety. These developments enabled to provide a quantitative answer to the question "How safe are our concrete structures ?" and they made it possible to compare different influencing factors. However, the positive effect of quality control on the safety level is most often not considered in these calculations, although this is an important consideration when designing or evaluating performance-based concrete structures. Concrete production is subjected to strict quality requirements. Due to this quality control, the properties of the accepted material are considerably higher than can be expected without quality inspection. Furthermore, this improved quality leads to an increased safety of concrete structures. In this PhD thesis, different aspects of contemporary quality and conformity control for concrete are described in a probabilistic framework and the consequences with respect to the safety level of concrete structures are quantified. Therefore, the current conformity criteria for concrete compressive strength are systematically evaluated in a probabilistic way, as well as in case the family concept is used for the combined quality inspection of related concrete mixes. Further, also an original methodology is proposed to use production control for the conformity evaluation of concrete. The filtering effect of these different types of quality control on the strength distribution of concrete and the safety level of concrete structures is quantified and compared. In order to study the different research aspects, numerous recent developments with respect to Bayesian statistics and numerical simulation techniques are applied. Furthermore, an original Bayesian regression technique is proposed and different assessment methodes for determining the characteristic concrete compressive strength in existing concrete structures are evaluated and compared. With respect to the latter aspect, an original Bayesian method is proposed that allows to take prior information into account when assessing the characteristic concrete compressive strength in existing structures, which is of particular importance in case only a limited number of test samples are available.".