The primary objective of this project is to propose a high-speed, highly efficient model updating technique for structural condition assessment based on the response surface (RS) method, which can be applied to large-scale real-world structures. The specific aims are listed as follows:  1) To improve the RS method by applying a more appropriate approximation function to generate a reliable surrogate model, making the process of generating the surrogate model more quickly and efficiently. A radial basis (RB) function will be a potential candidate; 2) To perform an optimization algorithm, genetic algorithm, on the obtained surrogate model to achieve the optimal physical parameters, such as the cross-sectional areas, Young’s modulus of materials and boundary conditions.