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岩锚梁非绝热温升试验反分析研究及应用 被引量:2

Study and application on inverse problem of non-adiabatic temperature rise test of rock anchor beam
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摘要 混凝土热学参数的准确性直接影响仿真计算结果的工程应用价值,通过工程现场的非绝热温升试验获得这些参数不仅可靠而且经济。混凝土热学参数辨识是一个复杂的寻优问题,优化算法的选取是其中一个关键因素。PSO算法具有很强的可塑性,通过对约束条件的处理,将该算法应用于工地现场的混凝土非绝热温升试验反演计算中,并验证了反演结果的合理性,然后依据这些参数,采用三维有限单元法对工程岩锚梁混凝土施工期的温度场和应力场进行反馈计算,从而指导岩锚梁的施工。工程实例表明,PSO算法对多参数的复杂问题具有较强的寻优能力,是一种简单且易于实现的优化算法,值得在工程上推广应用。 The accuracy of thermal parameters of concrete directly affects engineering application of simulation results.The economic and reliable method of obtaining thermal parameters is through the non-adiabatic temperature rise test of concrete in site.Thermal parameters identification of concrete is a complicated optimal problem.Selection of optimization algorithm is one of the key factors.PSO algorithm has a strong plasticity and can be used in the back analysis of thermal parameters of concrete by the processing of constrained conditions.According to non-adiabatic temperature rise test of concrete in Guandi site,the back analysis calculation for the parameters has been done by the algorithm.The rationality of results of the calculation is verified.According to the parameters,the thermal field and the stress field of the concrete of Guandi rock anchor beam under the construction period are simulated by the 3-D FEM,which can instruct the subsequent construction of the rock anchor beam.The engineering example shows that the PSO algorithm with good optimizing capability for complicate problem of multi-parameters can be easily realized and used widely.
出处 《混凝土》 CAS CSCD 北大核心 2010年第11期55-58,61,共5页 Concrete
基金 国家自然科学基金资助项目(50579080,50539010,50779010)
关键词 非绝热温升试验 微粒群优化算法 混凝土 反演 反馈 温度 应力 non-adiabatic temperature rise test PSO concrete back analysis feedback temperature stress
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