Prediction and Analysis for Time Limits of Prestress Loss Based on Genetic Algorithms

LIU Hanjing; ZHAO Dongfu; YANG Xinguang

doi:10.13204/j.gyjzG22060906

Volume 52 Issue 10

Oct. 2022

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LIU Hanjing, ZHAO Dongfu, YANG Xinguang. Prediction and Analysis for Time Limits of Prestress Loss Based on Genetic Algorithms[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 39-45. doi: 10.13204/j.gyjzG22060906

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LIU Hanjing, ZHAO Dongfu, YANG Xinguang. Prediction and Analysis for Time Limits of Prestress Loss Based on Genetic Algorithms[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 39-45. doi: 10.13204/j.gyjzG22060906

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Prediction and Analysis for Time Limits of Prestress Loss Based on Genetic Algorithms

doi: 10.13204/j.gyjzG22060906

LIU Hanjing¹,
ZHAO Dongfu^1,2,3,4,
YANG Xinguang^{5
,
,}

1. School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
2. Multi-Functional Shaking Tables Laboratory, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
3. Beijing Higher Institution Engineering Research Center of Civil Engineering Structure and Renewable Material, Beijing 100044, China;
4. Beijing Energy Conservation & Sustainable Urban and Rural Development Provincial and Ministry Co-Construction Collaboration Innovation Center, Beijing 100044, China;
5. Central Research Institute of Building and Construction Co., Ltd., MCC Group, Beijing 100088, China

Received Date: 2022-06-09
Available Online: 2023-03-22

Abstract

Abstract

Shrinkage and creep of concrete, and relaxation of prestressed tendons will cause loss of prestress, and which then affect long-term performances of prestressed concrete structures. The calculated values of long-term prestress loss obtained according to existing specifications are quite different from actual measured values, therefore, a inversion and prediction method for parameters of long-term prestress loss based on the multi-population genetic algorithm was proposed. The method was used to analyze parameter sensitivity to influence calculation results of long-term prestress loss by methods of specificetions of JTG 3362-2018 and ACI 209-1992. A loss curve in good agreement with measureng values of long-term prestress loss was obtained through inversion analysis for sensitive parameters by the muti-population genetic algorithan, which verified the feasibility and accuracy of the method. Simul taneously, the long-term prestress loss subjected to tensioning for 30 years calculated by the above two specifications was predicted respectiverly, which were 9.5% and 9.2%.
- long-term loss of prestress,
- multi-population genetic algorithm,
- parameter inversion,
- prediction analysis

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References(18)

References

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