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Title |
Evaluation on the Lost Prestressing Force of an External Tendon Using the Combination of FEM and HGA: II. Experimental Verification and Field Applications
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Keywords |
하이브리드 유전 알고리즘 ; 시스템 인식 ; 외부 긴장 텐던 ; 긴장력 ; 레일리 감쇠비 Hybrid genetic algorithm ; System identification ; Externally prestressed tendon ; Tendon force ; Rayleigh damping ratio |
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Abstract |
This paper introduces an experimental verification and a field application of the proposed technique using the combination of FEM and HGA about the loss prestressing force of an exteranl tendon by above same authors. The vibration tests have been conducted by using a laboratory models and the externally prestressed tendon at the field and the natural frequencies are extracted from the vibration tests. The proposed technique based on the extracted natural frequencies is applied. It is seen that the errors in the tension and lost prestressing force by proposed technique are about 4% from a laboratory model test. For the model verification at field, exact modeling has beem made with Rayleigh damping. It is seen that the error in the tension by proposed technique is less than 1% and the estimated lost prestressing force converges less than the exact value.
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