Seite - 1464 - in Book of Full Papers - Symposium Hydro Engineering

Parameter identifications and sensitivity analyses are done to determine the dependencies between the model/material parameters and the response variables/measurements to be calibrated. Fig. 3 Displacement measurement points used for calibration The sensitivity analysis is carried out by means of variations-based correlation analysis in ANSYS optiSLang® [9]. All material parameters are varied as scattering inputs of the sensitivity analysis. The response variables are the radial relative displacements at the measurement points from Figure 3. 200 parameter combinations (designs) are calculated for the sensitivity analysis. Latin Hypercube sampling available in ANSYS optiSLang® [9] is used for sampling the 200 designs. In each design, a nonlinear load history calculation is simulated with the following load steps for calibration (LSC):  LSC1 Activation of the dead weight in the foundation (Initial stress state)  LSC2 Activation of the dead weight of the dam  LSC3 Hydrostatic Water Pressure at 229,02 masl  LSC4 Hydrostatic water pressure at minimum water level (220,00 masl)  LSC5 Hydrostatic water pressure at maximum water level (244,95 masl) The dam is simulated in the sensitivity analysis and model calibration without anchors and restoration measures, because the measured values of the deformation measurements originate from the time before the rehabilitation and the installation of the pre-stressed anchor. The relevant input parameters (CoP values as a bar histogram) for the maximum water level (244.95 masl) and the minimum water level (220.00 masl) are calculated for each measuring point and the associated dependencies (anthill plots of the relevant input parameters vs. deformation). The CoP values are prognosis parameters and indicate how much the variance of the observed response variable (deformation at the measuring point) can be explained by the variation (or variation) of the respective input variable. Unimportant input parameters (whose scatterings are not correlated with the spread of the response variable) are automatically filtered out by ANSYS optiSLang® [9]. As the sensitivity analysis shows, the stiffnesses of the subsoil and of the masonry of the dam can 1464