Abstract:The existing estimation model as a method to estimate the invulnerability of concrete building structures is characterized by some problems, such as low estimation accuracy and long time consumption. Therefore, for high-rise buildings under strong earthquakes, an invulnerability estimation model based on least squares support vector machine is proposed. The least squares support vector machine is used to train the training samples of concrete structures damaged by strong earthquakes; then, an invulnerability estimation model of concrete structures is established. To reduce the possible model errors, the KLASSO parameter adjustment model is used to adjust and optimize the parameters of the invulnerability estimation model. The simulation results show that the model has a high estimation accuracy, and thus, the estimation time can be saved. The study can provide a good basis for improving the safety inspection efficiency of the construction industry.