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预应力混凝土安全壳结构承载能力评估方法研究OA

中文摘要英文摘要

针对长期服役条件下预应力混凝土安全壳,采用 B3 模型描述混凝土收缩徐变,FIB-2010 模型模拟钢束松弛,推导率型本构方程,并开发时步迭代算法考虑二者耦合效应;在 ABAQUS 平台通过 UMAT子程序实现材料本构;基于某核电厂安全壳建立有限元模型,采用动力学方法建立内压作用下安全壳性能分析模型;利用实测预应力数据进行 B3 模型参数识别和修正,验证模型可靠性.耦合算法验证表明,直接叠加收缩徐变与松弛损失偏保守,相对误差可达 7.3%;参数修正后模型与实测钢束预应力损失曲线吻合良好;模拟 60 年后安全壳内压下服役性能.该研究建立考虑多因素耦合的预应力损失评估方法,提高安全壳承载力预测精度,可支撑核电结构长期性能评估和延寿决策提供可靠依据.

For prestressed concrete containment under long-term service conditions,the B3 model is used to describe the shrinkage and creep of concrete,and the FIB-2010 model is used to simulate the relaxation of steel strands.The rate-type constitutive equation is derived,and a time-step iterative algorithm is developed to consider the coupling effect of the two.Material constitutive is realized through the UMAT subroutine on the ABAQUS platform;A finite element model is established based on the containment of a nuclear power plant,and a containment performance analysis model under internal pressure is established using dynamic methods.The B3 model parameters were identified and corrected using measured prestress data to verify the reliability of the model.The verification of the coupled algorithm shows that the direct superposition of shrinkage,creep and relaxation losses is conservative,with a relative error of 7.3%.After parameter correction,the model agrees well with the measured prestress loss curve of the steel tendon.The service performance of the containment under internal pressure after 60 years is simulated.This study establishes a prestress loss assessment method that considers the coupling of multiple factors,improves the prediction accuracy of containment bearing capacity,and provides a reliable basis for long-term performance assessment and life extension decisions of supporting nuclear power structures.

曹舟;曹百通;向华伟;荆玉翔

核电运行研究(上海)有限公司,上海 210125江苏核电有限公司,江苏 连云港 222042中冶检测认证有限公司,北京 100088中冶检测认证有限公司,北京 100088

建筑与水利

徐变预应力安全壳结构承载力内压数值模拟

creepprestresscontainmentstructural bearing capacityinternal pressurenumerical simulation

《科技创新与应用》 2026 (16)

1-7,7

国家自然科学基金项目(52478323)

10.19981/j.CN23-1581/G3.2026.16.001

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