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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 concrete thermal parameters directly affects the engineering application value of the simulation results. It is not only reliable and economical to obtain these parameters through the non-adiabatic temperature rise test on the project site. Identification of concrete thermal parameters is a complex optimization problem, the optimization algorithm is one of the key factors. The PSO algorithm has a strong plasticity. Through the treatment of the constraints, the algorithm is applied to the inversion calculation of the concrete non-adiabatic temperature rise test at the construction site, and the rationality of the inversion results is verified. Based on these parameters, Three-dimensional finite element method is used to calculate the temperature field and stress field during construction of rock-anchored beam concrete, so as to guide the construction of rock-anchor beam. The engineering example shows that the PSO algorithm has strong ability to search for complex parameters with multiple parameters. It is a simple and easy to implement optimization algorithm, which is worth popularizing and applying in engineering.