Abstract

Design of seismic isolated building is often a highly iterative and tedious process due to the nonlinear behavior of the system, a large range of design parameters, and uncertainty of ground motions. It is needed to consider a comprehensive optimization procedure in the design of isolated buildings with optimized performances. This can be accomplished by applying a rigorous optimization technique. However, due to many factors affecting the performance of isolated buildings, possible solutions are abundant, and the optimal solution is difficult to obtain. In order to simplify the optimization process, an isolated building is always modeled as a shear-type structure supported on the isolated layer, and the optimal results are the parameters of the isolated layer which could not be used as a practical design of the isolated structure. A two-stage optimization method for designing isolated buildings as a practical and efficient guide is developed. In the first stage, a 3D isolated building model is adopted that takes into account of nonlinear behavior in building and isolation devices. The isolation devices are simplified as a kind of lead-rubber bearing. The genetic algorithm is used to find the optimal parameters of the isolated layer. In the second stage, the location parameters of isolation bearing layout are optimized. Moreover, the cost of the isolation bearing layout should be as low as possible. An integer programming method is adopted to optimize the number of each type of isolator. Considering vertical bearing capacity of isolators and the minimum eccentricity ratio of the isolated layer, the optimal bearing layout of the isolated building can be obtained. The proposed method is demonstrated in a typical isolated building in China. The optimum bearing layout of the isolated building effectively suppresses the structural seismic responses, but the cost of the isolated layer might slightly increase.

Highlights

  • Design of seismic isolated building is often a highly iterative and tedious process due to the nonlinear behavior of the system, a large range of design parameters, and uncertainty of ground motions

  • In order to simplify the optimization process, an isolated building is always modeled as a shear-type structure supported on the isolated layer, and the optimal results are the parameters of the isolated layer which could not be used as a practical design of the isolated structure

  • A 3D isolated building model is adopted that takes into account of nonlinear behavior in building and isolation devices. e isolation devices are simplified as a kind of lead-rubber bearing. e genetic algorithm is used to find the optimal parameters of the isolated layer

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Summary

Stage 1

E optimum mechanical parameters of the isolated layer are identified through a multiobjective optimization problem. Select the types of bearings and determine the range of parameters for the isolated layer. From the result of more than 10 actual isolated projects, a range of the isolated layer ductility coefficient is provided as follows: 10 ≤ μ ≤ 30. E former provides dynamic responses of interest; the latter calculates the associated objective function and generates the offspring population with better designs until converging to an optimal design. (3) With the responses of each initial population, the constraint conditions and objective function values are implemented. If one of the constraint conditions is unsatisfied, the objective function value will be increased several times, and the fitness of individuals in the population will be obtained. (4) e individuals generate offspring populations until converging to the set termination condition, and the program ends

Stage 2
Numerical Example and Analysis
Findings
Objective function value
Full Text
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