基于遗传算法的预应力损失时限预测分析

刘涵婧; 赵东拂; 杨昕光

doi:10.13204/j.gyjzG22060906

基于遗传算法的预应力损失时限预测分析

doi: 10.13204/j.gyjzG22060906

刘涵婧¹,
赵东拂^1,2,3,4,
杨昕光^5, ,

1. 北京建筑大学土木与交通工程学院, 北京 100044;
2. 北京建筑大学大型多功能振动台阵实验室, 北京 100044;
3. 工程结构与新材料北京市高等学校工程研究中心, 北京 100044;
4. 北京建筑大学北京节能减排与城乡可持续发展省部共建协同创新中心, 北京 100044;
5. 中冶建筑研究总院有限公司, 北京 100088

基金项目:

北京建筑大学研究生创新项目（PG2022041）。

详细信息

作者简介:
刘涵婧,女,1997年出生,硕士研究生,Liu_hanjing@163.com。

通讯作者:
杨昕光,男,1983年出生,博士(后),高级工程师,yyfresh-man@163.com。

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- 文章访问数: 98
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- 被引次数: 0
出版历程
- 收稿日期: 2022-06-09
- 网络出版日期: 2023-03-22

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

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

摘要

摘要: 混凝土的收缩、徐变和预应力筋的松弛，会引起预应力损失，进而影响预应力混凝土结构的长期使用性能。按现有技术标准得到的预应力长期损失计算值与实际测量值有较大差别，故提出一种基于多种群遗传算法对预应力长期损失进行参数反演和预测的方法。采用该方法对影响JTG 3362—2018《公路钢筋混凝土及预应力混凝土桥涵设计规范》和ACI 209—1992《混凝土结构中徐变、收缩和温度效应的预测》中对预应力长期损失计算结果的参数敏感性进行分析，并利用多种群遗传算法对敏感参数进行了反演，得到了与预应力长期损失实测值较为吻合的损失曲线，同时验证了该方法的可行性和准确性，并预测出张拉30 a后，采用JTG 3362—2018和ACI 209—1992计算的预应力长期损失分别为9.5%和9.2%。
- 预应力长期损失 /
- 多种群遗传算法 /
- 参数反演 /
- 预测分析
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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