BACK ANALYSIS CONSIDERING UNCERTAINTY OF KNOWN CONDITION

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  • 既知条件の不確定性を考慮した逆解析
  • キチ ジョウケン ノ フカクテイセイ オ コウリョシタ ギャク カイセキ

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A formulation of probabilistic back analysis considering uncertainty of known condition is proposed, and the validity of the proposed method is demonstrated through the numerical example. Depending the uncertainty of the apriori information, model parameters should be classified into known parameters, known parameters with uncertainty or unknown parameters for an effective back analysis. The reliability of parameters determined by back analysis may be evaluated in the form of aposteriori covariance matrix, and the reliability of forward analysis with the apriori and aposteriori model can be evaluated quantatively in a probabilisitic way. Consequently, the improvement of reliability on forward estimation by back analysis may be evaluated quantatively.

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