Research Of Performance-based Optimization Method For The Life-cycle Cost Of SRHPC Frame Structures

In recent years，owing to their excellent seismic behavior steel reinforced highstrength high performance concrete（SRHPC）frame structures are applied more andmore widely, using optimization method to design SRHPC frame structures, combiningstructure design and optimization method together, can both shorten the design periodgreatly and comply with the requirements of designers better. Therefore，researchingon optimization method of SRHPC frame structures is of great significance.The common optimization method of SRHPC frame structures still has twoproblems, one of them is just considering the initial cost of SRHPC structures asoptimization objective, that will lead to poor structure performance and reduce theability of the structure to resist natural disaster; another one is having too manyoptimization variables and constraint conditions, that will lead to the complexoptimization process, getting the optimum solution becomes very hard. To solve thefirst problem, this paper introduces performance-based seismic design intooptimization method，counting and analyzing the experimental data of SRHPC framecolumns，getting the quantized value of objective performance for SRHPC framestructures, on this basis, the performance-based optimization model for the life-cyclecost of SRHPC framework is established; then considering the fuzziness of structurefailure, introducing the fuzzy mathematics theory into Monte Carlo method, thecomputational method of fuzzy reliability for different objective performance isproposed; besides, analyzing the fuzziness of seismic action effect,so the optimization objective can be achieved. To solve the second problem, multi-stage optimization forperformance-based optimization model for the life-cycle cost of SRHPC framestructures is proposed，that could control the amount of optimization variables andconstraint conditions effectively，and simplify the optimization process, then theoptimization program is made up with MATLAB to compute the example, and validatethe feasibility for this optimization method.