Research On Computational Generation In Building Volume Design Of Primary And Middle Schools

Driven by the national education policy and under the influence of the loosening of childbirth policies,the construction volume and construction demand of primary and secondary schools have shown a substantial increase.Continuously innovating teaching concepts and campus design concepts put forward higher requirements for the land use capacity,spatial layout and architectural features of primary and secondary schools on a volume level.Volume design is a complex process that incorporates multiple influencing factors such as function,site,and climate into decision-making,and the design results include objective evaluation criteria such as floor area ratio and site microclimate environment.By developing a generation tool that conforms to the internal logic of the volume design of the primary and secondary schools,the quality and efficiency of the design work can be improved in the context of increased construction.In the past related research on primary and secondary schools,there is a lack of research on the relationship between design conditions and building mass factors,as well as research on converting the relationship into algorithmic language.This article first analyzes the design features of primary and secondary school building mass,and combines the advantages of computational design tools to demonstrate the feasibility and necessity of using "rule system" to generate design methods.Furthermore,the workflow and modular algorithm architecture composed of "information processing-spatial layout-shape optimization" were established.The research follows the technical route of "logic transformation-algorithm realization-simulation verification".In the logic transformation part,the internal logic relationship between the design conditions and the volume design of the primary and secondary schools is established,and it is transformed into a rule system that can be simulated by calculation tools.In the algorithm implementation part,the research combines the design logic and the algorithm architecture,and carries out algorithm development and modular packaging for each specific link of generation,and realizes a complete generation design chain.In the simulation verification part,the representative test conditions are adopted,and the main modules of the algorithm are tested multiple times by changing the main control parameters,and the simulation results are compared and analyzed.Finally,select actual cases to simulate the optimized design workflow.The simulation results first verify that the operation of each module is good,and also prove the feasibility of the algorithm and the rationality of the generated logic.At the same time,the simulation process reflects the practicality of the generation tool:with the aid of this tool,semi-automatic generation of mass solutions,diversified outputs,and shape optimization based on climatic conditions can be achieved,whichcan assist decision-making and inspiration for architects in volume design work.The research improves the framework and theory of mass generation design in primary and secondary schools,provides logical ideas for optimizing scientific design methods,and has certain reference value for the development of similar algorithms.