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Comparison Of Intelligent Optimization Methods For Architectural Space Layout Guided By Organization

Posted on:2020-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q LiFull Text:PDF
GTID:2392330620955894Subject:Degree in architecture (professional)
Abstract/Summary:
The flow organization of the interior and exterior spaces in the building largely influences and determines the spatial organization and layout of the architectural design.For certain types of buildings with complex functions and strict design requirements,such as courts,hospitals,airports and stations,there are often problems of flow chaos and low traffic efficiency.The layout of complex flow buildings in traditional designs often relies on the architect’s experience and constant trial and error.In order to overcome these problems,this paper attempts to establish a building plane parameterization model with different people flow and functional group information(taking a typical court building as an example)and a set of intelligent optimization methods to deal with spatial layout optimization problems.This paper focuses on the application of intelligent optimization methods in the layout of complex flow buildings.It is based on the actual court building project as the carrier to optimize the spatial layout and model construction.The research can be divided into the following stages: Firstly,the theory,algorithm and technical platform of the spatial layout intelligent optimization method guided by the pedestrian flow organization are sorted out,and the optimization methods that can be selected are summarized and compared;secondly,the court building and The comparative study of architectural design methods for planning,layout,functional organization and pedestrian flow optimization of other complex pedestrian flow buildings summarizes its intrinsic characteristics as the theoretical basis for subsequent optimization practices.Finally,the appropriate method is adopted for the actual court building projects.Spatial layout for parametric modeling and optimization practices.Among them,the specific methods of optimization practice are as follows: Firstly,the intelligent optimization method of building space guided by pedestrian flow organization and the key points of court building optimization design are studied,and optimization objectives,optimization rules and intelligent optimization methods are determined.Then,a parametric model is built based on the actual engineering project drawings.Based on Rhino and Grasshopper platform,the minimum value of different types of human flow length,the maximum value of total space integration value and the minimum value of total space Entropy value are used to quantify the optimization goal,combined with path finding algorithm,space syntax and multi-objective genetic algorithm for construction.Spatial layout optimization.The results show that the optimization practice method can quantitatively calculate and evaluate the spatial layout,and provide visual,more accurate and intuitive output results.Compared with the original building scheme,the intelligent optimized scheme can reduce the space waste caused by improper organization of the pedestrian flow.Effectively improve space transportation capacity and space organization efficiency.The study is divided into five chapters to elaborate.The first chapter is an introduction,which contains an overview of the background,objects,objectives,methods,etc.of the research.The second chapter compares and analyzes the application and examples of intelligent optimization methods different from traditional optimization methods in various stages of the optimization design process.The third chapter compares and analyzes the differences in the optimal design methods of the typical four complex pedestrian flow buildings in terms of planning layout,functional space and pedestrian flow organization.The fourth chapter summarizes the refinement between the intelligent optimization method and the architectural design optimization method in the first two chapters,and attempts to apply the engineering practice case.The fifth chapter is the discussion and reflection on this research,pointing out the shortcomings of the current research and proposing the prospect.There are more than 56000 words,59 diagrams and 7 illustrations.
Keywords/Search Tags:Intelligent optimization, Space allocation, Multi-objective Optimization algorithm, Space syntax, Path-finding algorithm
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