چكيده به لاتين
In recent years, the discussion of intelligent structures is expanding as a new approach in civil engineering, so that topics such as damage identification and control of structures play an important role in making them intelligent. In the meantime, since the identification of the structure provides the possibility of identifying the damage and controlling the structure more effectively during an earthquake, it is raised as another main topic related to smart building. In this research, the performance and efficiency of the virtual synchronization method (VSM) has been investigated in the identification of structural parameters in the case that the non-linear geometrical effects of the structure (second-order analysis effects) have also been included in their analysis. For this purpose, the identification of structures in two states of presence and absence of axial deformations in the columns has been investigated. Thus, in both cases, first, a suitable formulation based on the second-order Taylor expansion of the Euler-Bernoulli relation is proposed to consider the second-order effects, and then by applying the actual earthquake record to the structure model, the actual values of the response include velocity and displacement in the floors are measured by considering these effects in reducing their stiffness. In the following, using the measured data, a virtual system with dynamic characteristics similar to the real system is defined so that by adjusting the internal parameters of the VSM method, after synchronizing with the real system, the values of the unknown parameters will be converged to the actual values obtained from the second-order analysis. In the following, by presenting examples, the accuracy of the method is measured in structures with different periods, and the sensitivity of the VSM method to the earthquake record, the measurement error of the axial force of the columns, and the input data are studied. Also, in separate examples, the efficiency of this method has been checked in case of failure or absence of measurement sensors in some floors. According to the obtained results, the mentioned method with the current formulation in identifying the structures without axial deformations, gives proper results in all cases, and only if there is no input information in some floors, the method does not have good results. However, in connection with the identification of multi-degree-of-freedom structures that do not ignore axial deformations in their vertical members, the method generally does not give good results and it is so sensitive to the occurrence of errors in the input data or any defects in this information and requires corrections to reduce the error and achieve the desired result.
