Building multi-performance oriented design optimization method
An optimization method and technology of architectural design, applied in design optimization/simulation, multi-objective optimization, genetic law, etc., can solve the problem of sacrificing a lot of time, and achieve the effect of reducing calls and shortening optimization time
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2020-12-29
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Abstract
Description
technical field
[0001] The invention relates to the technical field of architectural optimization design, in particular to an optimization method for architectural multi-performance-oriented design. Background technique
[0002] Decision-making in the architectural design stage will involve a variety of building performance indicators, which affect and even determine the future performance of the building. There may be a competitive relationship between different building performance indicators, so different design orientations should be considered in building design to improve the overall performance of the building. Factors affecting building performance involve the thermal insulation performance of the exterior wall, air tightness, window-to-wall ratio, and building orientation, which are characterized by high dimensions, high uncertainty, and interaction. The interaction among these influencing factors constitutes a very complex design space, so how to identify the opti...
Examples
Embodiment Construction
[0062] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0063] Such as figure 1As shown, the overall flow chart of an optimization method for a building multi-performance-oriented design of the present invention. The process specifically includes the following steps:
[0064] Step 1. Determine the architectural design decision-making objectives and their potential influencing factors as the optimization objectives and optimization variables respectively, and specify the constraints;
[0065] Step 2. Obtain a statistically representative building performance sample library. This step mainly includes the construction of optimization variable sample matrix, the setting of building physical model, the construction of building performance output matrix, and the construction of building multidimensional input-multidimensional output sample matrix.
[0066] Obtaining a sample of ...