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Probabilistic evaluation of conformity control and the use of Bayesian updating techniques in the framework of safety analyses of concrete structures

Robby Caspeele UGent (2010)
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.
Please use this url to cite or link to this publication:
author
promoter
UGent
organization
alternative title
Probabilistische evaluatie van conformiteitscontrole en het gebruik van Bayesiaanse updatingstechnieken in het kader van veiligheidsanalyses van betonconstructies
year
type
dissertation
publication status
published
subject
pages
XXIV, 372 pages
publisher
Ghent University. Faculty of Engineering
place of publication
Ghent, Belgium
defense location
Gent : Faculteit Ingenieurswetenschappen (Jozef Plateauzaal)
defense date
2010-04-28 17:00
ISBN
9789085783473
language
English
UGent publication?
yes
classification
D1
copyright statement
I have retained and own the full copyright for this publication
id
1024402
handle
http://hdl.handle.net/1854/LU-1024402
date created
2010-08-17 08:50:50
date last changed
2017-01-16 10:37:56
@phdthesis{1024402,
  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 {\textacutedbl}How safe are our concrete structures ?{\textacutedbl} 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.},
  author       = {Caspeele, Robby},
  isbn         = {9789085783473},
  language     = {eng},
  pages        = {XXIV, 372},
  publisher    = {Ghent University. Faculty of Engineering},
  school       = {Ghent University},
  title        = {Probabilistic evaluation of conformity control and the use of Bayesian updating techniques in the framework of safety analyses of concrete structures},
  year         = {2010},
}

Chicago
Caspeele, Robby. 2010. “Probabilistic Evaluation of Conformity Control and the Use of Bayesian Updating Techniques in the Framework of Safety Analyses of Concrete Structures”. Ghent, Belgium: Ghent University. Faculty of Engineering.
APA
Caspeele, R. (2010). Probabilistic evaluation of conformity control and the use of Bayesian updating techniques in the framework of safety analyses of concrete structures. Ghent University. Faculty of Engineering, Ghent, Belgium.
Vancouver
1.
Caspeele R. Probabilistic evaluation of conformity control and the use of Bayesian updating techniques in the framework of safety analyses of concrete structures. [Ghent, Belgium]: Ghent University. Faculty of Engineering; 2010.
MLA
Caspeele, Robby. “Probabilistic Evaluation of Conformity Control and the Use of Bayesian Updating Techniques in the Framework of Safety Analyses of Concrete Structures.” 2010 : n. pag. Print.