Study On Multi-objective Optimization Of Beam-slab Basement Roof Based On Improved Genetic Algorithm

The acceleration of the urbanization process and the scarcity of urban land resources have caused urban buildings to exhibit a high-rise trend.Due to underground parking requirements,civil air defense requirements and buried depth requirements,high-rise buildings generally have basements.In the design of the basement structure,whether the type of the roof structure and the structural arrangement are reasonable has a great impact on the project cost,construction complexity and headroom height.At present,domestic and foreign scholars have conducted more research on the selection and optimization of the basement roof,and have also achieved certain results,but the research content is mainly focused on the comparison and optimization of the basement roof plan,and basically the lowest cost is the single optimization goal.Not fully considering the construction complexity,structural performance and other factors.Based on the improved genetic algorithm,this paper selects the beam-slab basement roof as the research object,and on the premise of satisfying the structural performance of the basement roof bearing capacity,deflection,cracks and other structural requirements,and considering the structural material consumption,construction period and structural performance Target factors,establish a multi-objective optimization model of beam-slab basement roof,and use MATLAB language programming to achieve automatic optimization of the basement roof.The main conclusion of the paper:(1)A multi-objective optimization model of beam-slab basement roof is established.Seven optimization parameters including plate thickness,section height and width of the main beam,section height and width of the secondary beam,the number of horizontal and vertical secondary beams,and external input parameters such as column distance and column mesh area are set;Constraints in terms of deformation requirements and strength requirements establish three objective functions with low material consumption cost,short construction period,and excellent structural performance,which are transformed into the final objective function with the lowest total structure cost,thus completing the construction of the model.(2)Improve the traditional genetic algorithm.The coding method,cross process,selection process and mutation strategy of genetic algorithm are improved to improve the accuracy of calculation and optimization and the efficiency of optimization search,avoiding the situation of local convergence.(3)A multi-objective search optimization program for the beam-slab basement roof was compiled.Using MATLAB language for programming and program design,the automatic optimization of the beam-slab basement roof structure layout scheme based on improved genetic algorithm was realized,and the rationality of the optimization scheme was verified by using PKPM software in combination with examples.