Opening Design using Bayesian Optimization

Q1 Computer Science Virtual Reality Intelligent Hardware Pub Date : 2023-12-01 DOI:10.1016/j.vrih.2023.06.001

Nick Vitsas, Iordanis Evangelou, Georgios Papaioannou, Anastasios Gkaravelis

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Abstract

Background

Opening design is a major consideration in architectural buildings during early structural layout specification. Decisions regarding the geometric characteristics of windows, skylights, hatches, etc., greatly impact the overall energy efficiency, airflow and appearance of a building, both internally and externally.

Methods

In this work, we employ a goal-based, illumination-driven approach to opening design using a Bayesian Optimization approach, based on Gaussian Processes. A method is proposed that allows a designer to easily set lighting intentions along with qualitative and quantitative characteristics of desired openings.

Results

All parameters are optimized within a cost minimization framework to calculate geometrically feasible, architecturally admissible and aesthetically pleasing openings of any desired shape, while respecting the designer's lighting constraints.

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利用贝叶斯优化进行开局设计

背景开敞设计是建筑设计早期结构布局规范中的一个主要考虑因素。有关窗户、天窗、舱口等几何特征的决策对建筑物的整体能效、气流和外观（包括内部和外部）都有很大影响。方法在这项工作中，我们采用了一种基于高斯过程的贝叶斯优化方法，以目标为基础、照明驱动的方法来进行开口设计。结果在成本最小化框架内对所有参数进行优化，计算出几何上可行、建筑上可接受且美观的任意所需形状的开口，同时尊重设计师的照明约束。

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