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Title |
Evaluation on the Lost Prestressing Force of an External Tendon Using the Combination of FEM and HGA: I. Theory
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Keywords |
하이브리드 유전 알고리즘 ; 시스템 인식 ; 외부 긴장재 ; 손실 긴장력 Hybrid genetic algorithm ; System identification ; Externally prestressed tendon ; Lost tendon force |
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Abstract |
This paper introduces a new method to estimate the loss of prestressing force for the externally prestressing tendon. The proposed method that combines of HGA and FEM is able to identify the lost tensile force of a externally prestressed tendon. The identification variables of the proposed method is a exteranlly prestressed tendon of tension, effective nominal diameter, mass per unit length and Rayleigh damping coefficients. First of all, a finite element model system is constructed to consider the effect of damping, and these variables are identified using inverse analysis technique - updating algorithm. Finally, throughout total 3 cases of numerical tests, the numerical propriety of the proposed method is verified. Here, it is seen that the errors in the estimated variables by the proposed method are about 1% except in the case of Rayleigh damping coefficients.
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