Research On Reliability Of Building Shape Performance Optimization Based On Uncertainty Of Boundary Conditions

With the rapid development of China’s green building technology and the continuous deepening of computer-aided design research,performance-oriented building design optimization has received widespread attention from architects as an emerging method of building creation.In the current building energy-saving design,the use of building performance simulation optimization is gradually increasing,especially for the optimization of building shape.However,the boundary conditions of the building in the early stages of the building design have not been determined,such as building materials and personnel schedules.In this case,there are some doubts about the reliability of the building shape optimization results.In order to meet the needs of the rapid development of green buildings in China and the accuracy of energy consumption simulation,it is necessary to explain and recommend the influence of the uncertainty of boundary conditions on the simulated energy consumption during the optimization of the building shape to prevent the unreliability of the result of the shape optimization.And affected the design of green buildings.This paper studies the influence of the uncertainty of boundary conditions on the optimization of building shape as follows.Firstly,starting from the previous research on the influence of the uncertainty of the boundary conditions on the optimization results of the office building shape,through the literature reading and sorting,the relevant theoretical basis is elaborated from the aspects of the setting of different boundary conditions and the reliability of the optimization of the office building shape.,Research directions and research methods.Investigate the existing boundary conditions that need to be set,and compare the characteristics and application of each boundary condition.The effects of transmission coefficient,U value,work and rest and personnel density on the optimization results of building shapes are mainly studied.Secondly,combined with rhino,diva and galapagos genetic optimization algorithms,the body optimization simulation experiment was carried out for office buildings.The DOE benchmark model was selected for the simulation experiment,and the building shape optimization was carried out in the cities of Harbin,Beijing,Shanghai,and Shenzhen with different climate zones.,Try to optimize the shape of the building when the boundary conditions are uncertain,specifically choose the length of the building,the window height and orientation as the optimization variables,four uncertain boundaries for the transmission coefficient,U value,work schedule and personnel density Conditions,discusses the reliability analysis of the shape optimization results by the uncertainty of boundary conditions.Finally,a stochastic optimization method is proposed to perform global optimization design in the presence of uncertainty,to reduce the risk of extreme cases with extremely poor performance,and the dispersion of performance in various situations.The results of the thesis provide a useful reference for the selection of boundary conditions to the reliability of the shape optimization of office buildings,and can help architects to reasonably select parameters in design practice,understand the results of performance optimization,and prospect their development.