Southeast University

Xu-Yang Cao

Gang Wu

De-Cheng Feng

An integral reinforcement design method of an external frame-brace based on a random capability spectrum is provided, and the reinforcement design method includes: evaluating an original structure before reinforcement by using a random capability spectrum method; performing a reinforcement analysis on an external frame-brace sub structure by using the random capability spectrum method to obtain a reinforced structure; and performing a reinforcement verification on the reinforced structure by using the random capability spectrum method. A performance based integral reinforcement design of the external frame-brace sub structure is achieved through considering uncertain factors, as well as capability spectrums and demand spectrums before and after the reinforcement, and converting the integral structure to equivalent single degree of freedom to obtain performance points.

Integral reinforcement design method for external frame-brace based on random capability spectrum

A calculation method for an annual average loss of an external substructure reinforcement system based on interfacial shear stresses is provided. The calculation method includes: step 1: establishing a deterministic model for an external substructure reinforcement system, and generating seismic ground motion samples and structural samples by random sampling; establishing a probabilistic hazard model based on the seismic ground motion samples; generating a probabilistic vulnerability model based on interfacial shear stresses; establishing a total probabilistic loss expectation model by different seismic ground motion intensity levels; and using the total probabilistic loss expectation model to obtain an annual average probabilistic seismic loss of the external substructure reinforcement system based on the interfacial shear stresses. The calculation method can realize classified calculations of the seismic loss of the external substructure reinforcement system. Compared with the traditional seismic loss calculation method, the calculation method is more efficient in calculation.

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Nanjing, China

Xu-Yang Cao