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BACK ANALYSIS OF GEOTECHNICAL PROBLEMS 199
            of complex constitutive models, the extension to dynamic problems and studies
            oriented to probabilistic approaches.
              An attempt in this last direction has been discussed here, with reference to a
            Bayesian  calibration  technique,  but  also  other  approaches,  such  as  the  Kalman
            filtering technique, appear to be quite promising. In fact, they exploit both the a
            priori  knowledge  of  the  problem  at  hand  and  the  sequential  evolution  of  the
            experimental information during the excavation/construction works.


                                    Acknowledgements
            The  examples  presented  in  this  paper  are  part  of  studies  supported  by  the
            Ministry  of  the  University  and  Research  of  the  Italian  Government.  They  are
            based  the  pioneering  researches  of  G.Maier  and  S.Sakurai  on  structural  and
            geotechnical back analysis. Their scientific guidance is gratefully acknowledged.


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