遗传算法在分段等截面两端固定吊杆拉力测定中的应用

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吊杆拉力测定中,分段等截面且两端固定的吊杆的抗弯刚度和质量密度往往不能准确获得,对此,提出了利用遗传算法的吊杆拉力识别方法。利用两段等截面且两端固定的吊杆在轴向拉力作用下的横向振动微分方程,根据边界条件和连续条件,得到轴向拉力与两段吊杆的抗弯刚度、长度、线密度及振动频率之间的超越方程关系。将吊杆抗弯刚度、线密度及拉力作为变量,通过测量的吊杆固有频率并利用对分法和遗传算法对某钢筋混凝土桥的不同张紧程度、不同长度的吊杆拉力进行了计算分析,结果表明该方法是可行的,并且可以满足桥梁施工控制的需要。 In the measurement of boom pull force, the bending stiffness and mass density of boom with sectioned equal sections and fixed at both ends can not be obtained accurately. In this regard, a method to identify the tension of boom by using genetic algorithm is proposed. Based on the boundary conditions and continuous conditions, the axial tensile force and the flexural rigidity, length, linear density and the linear density of the two sections of boom are obtained by using the differential equations of lateral vibration of two sections of equal and cross-sectionally fixed suspenders under axial tension. Vibration frequency between the transcendental equation. Taking the bending rigidity, linear density and pulling force of the boom as the variables, by measuring the natural frequency of the boom and using the dichotomy and the genetic algorithm to calculate the different tension degree and the pulling force of the boom with different length of a reinforced concrete bridge The results show that this method is feasible and can meet the needs of bridge construction control.
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