European Journal of Environmental and Civil Engineering, 2010
We introduce a model for calcium leaching and creep strain evolution. Both phenomena are coupled ... more We introduce a model for calcium leaching and creep strain evolution. Both phenomena are coupled for the estimation of the damage time evolution. Simulations are achieved so as to quantify the influence of the input parameters variability on the structure lifespan. The most influent parameters are identified and threshold values for lifespan classification are enlighted.
ABSTRACT The benchmark IRIS_2010 is an exercise in OECD/NEA/CSNI framework. This paper (part four... more ABSTRACT The benchmark IRIS_2010 is an exercise in OECD/NEA/CSNI framework. This paper (part four over fives abstracts, see references [1] to [4]) proposes a synthesis of the results of all the simulations of the tests with punching failure and bending failure. The three different series of experiments (bending and punching) have been carried out before the computations (blind simulations); experimental results were not given to the teams except the principal characteristics (geometry of the specimens, boundary conditions with all the details of the experimental set-up) and some material characteristics for concrete and steel (both for the missile and the rebar). In a first step we read all the reports and opened all the files with the curves, the numerical values and technical comments (constitutive equations, numerical codes, material parameters). We had to gather all the data in order to compare the curves (and to correct some mistakes). In a second step we decided to build simple indicators related to the quality of the computations the ease the comparisons between the teams and also because the numerical strategies where sometimes very different. For this we considered the ultimate load, the maximal impulse, the deflection of the centre of the slabs (both the maximal and the residual), a strain given by a gauge stuck on a rebar and the duration of the shock (not all these data were given for the three tests). These values have been normalized by their experimental corresponding values or in some cases (the load for example) by the mean value of all the numerical data. The indicator is the sum over all these ratios (or there inverses if lower than one) divided by the number of quantities present in the sum. If equal to one the indicator reveals that the computation is perfect (for the quantities considered); a rosaceous presentation indicates that no team did good computations for the three tests.
European Journal of Environmental and Civil Engineering, 2012
This works aims at studying, through the Monte Carlo method, the influence of the leaching kineti... more This works aims at studying, through the Monte Carlo method, the influence of the leaching kinetics parameters spatial variability on the lifespan of a concrete structure. The considered structure is a tunnel for nuclear waste storage. It is observed that the expected value for the lifespan estimated when considering the material spatial variability is significantly lower than the lifespan estimated
European Journal of Environmental and Civil Engineering, 2010
We introduce a model for calcium leaching and creep strain evolution. Both phenomena are coupled ... more We introduce a model for calcium leaching and creep strain evolution. Both phenomena are coupled for the estimation of the damage time evolution. Simulations are achieved so as to quantify the influence of the input parameters variability on the structure lifespan. The most influent parameters are identified and threshold values for lifespan classification are enlighted.
ABSTRACT The benchmark IRIS_2010 is an exercise in OECD/NEA/CSNI framework. This paper (part four... more ABSTRACT The benchmark IRIS_2010 is an exercise in OECD/NEA/CSNI framework. This paper (part four over fives abstracts, see references [1] to [4]) proposes a synthesis of the results of all the simulations of the tests with punching failure and bending failure. The three different series of experiments (bending and punching) have been carried out before the computations (blind simulations); experimental results were not given to the teams except the principal characteristics (geometry of the specimens, boundary conditions with all the details of the experimental set-up) and some material characteristics for concrete and steel (both for the missile and the rebar). In a first step we read all the reports and opened all the files with the curves, the numerical values and technical comments (constitutive equations, numerical codes, material parameters). We had to gather all the data in order to compare the curves (and to correct some mistakes). In a second step we decided to build simple indicators related to the quality of the computations the ease the comparisons between the teams and also because the numerical strategies where sometimes very different. For this we considered the ultimate load, the maximal impulse, the deflection of the centre of the slabs (both the maximal and the residual), a strain given by a gauge stuck on a rebar and the duration of the shock (not all these data were given for the three tests). These values have been normalized by their experimental corresponding values or in some cases (the load for example) by the mean value of all the numerical data. The indicator is the sum over all these ratios (or there inverses if lower than one) divided by the number of quantities present in the sum. If equal to one the indicator reveals that the computation is perfect (for the quantities considered); a rosaceous presentation indicates that no team did good computations for the three tests.
European Journal of Environmental and Civil Engineering, 2012
This works aims at studying, through the Monte Carlo method, the influence of the leaching kineti... more This works aims at studying, through the Monte Carlo method, the influence of the leaching kinetics parameters spatial variability on the lifespan of a concrete structure. The considered structure is a tunnel for nuclear waste storage. It is observed that the expected value for the lifespan estimated when considering the material spatial variability is significantly lower than the lifespan estimated
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