Download presentation
Presentation is loading. Please wait.
Published byLaurel Stokes Modified over 9 years ago
1
Daylight as an Evolutionary Architectural Form Finder. Tarek Rakha The American University in Cairo Paper id: 121 Authors:Tarek Rakha and Khaled Nassar.
2
Paper Contents Introduction –Objectives –Literature Review Ceiling Form Optimization Methodology –Daylighting/Ceiling Problem Formulation –Optimization Process Ceiling Example, Results & Discussion –Optimization Results –Ceiling Form & Daylighting Analysis Conclusion
3
Introduction ConclusionResults / DiscussionMethodology Introduction Evolution of form generation is becoming based on performance (performative) strategies Emphasis shifts from the “Generation of Form” to the “Finding of Form”. Kolarevic B (2005) Computing the performative. In: Kolarevic B and Malkawi A, eds. Performative Architecture: Beyond Instrumentality. New York: Spon Press.
4
Introduction Objective –Develop a Computer Aided Architectural Design (CAAD) procedure/tool for optimizing a generic curvilinear ceiling form in accordance with daylight uniformity. Literature Review –Geometry of Form –Shading Devices –Window Design ConclusionResults / DiscussionMethodology Introduction
5
Ceiling Form Optimization Methodology ConclusionResults / Discussion Methodology Introduction What is a Genetic Algorithm (GA)? Yi, Y. and Malkawi A., (2009). Optimizing building form for energy performance based on hierarchical geometry relation. Automation in Construction 18: 825-833. Stage 1: Stage 2: Stage 3:
6
Ceiling Form Optimization Methodology Daylighting/Ceiling Problem Formulation ConclusionResults / Discussion Methodology Introduction
7
Ceiling Form Optimization Methodology ConclusionResults / Discussion Methodology Introduction Sweeped B-spline Ceiling Chromosome Gene P2(z2,y2)
8
Ceiling Form Optimization Methodology Optimization Process ConclusionResults / Discussion Methodology Introduction Fitness Functions: Daylight Uniformity
9
Ceiling Form Optimization Methodology Optimization Process ConclusionResults / Discussion Methodology Introduction Crossover Mutation
10
Ceiling Form Optimization Methodology Optimization Process ConclusionResults / Discussion Methodology Introduction
11
Ceiling Form Finding Example, Results & Discussion Example Case Conclusion Results / Discussion MethodologyIntroduction
12
Ceiling Form Finding Example, Results & Discussion Example Case Conclusion Results / Discussion MethodologyIntroduction Simulation parameters were as follows: Location: Cairo, Egypt (Latitude: 29.8, Longitude: 31.3). Date and time: June 21st (summer), 12 Noon. Sky condition: clear sky with sunshine. Ground reflectance: 20% - medium colored stone. Walls reflectance: 56% - off white color paint. Ceiling reflectance: 85.7% - plasterboard. Floor reflectance: 59.2% - grey colored concrete. Glass visible light transmittance (VLT): 85%. Analysis grid: 20 measuring point in a grid of 2.5m *2.5m at a height of 0.75m. Four B-spline ceiling control nodes (P0, P1, P2 and P3) with limitations: (2.0m < z1, z2 < 3.5m), (2.2m < z0, z3 < 3.3m), (0.1m < y1 < 5.4m) and (5.4m < y2 < 10.79m)
13
Ceiling Form Finding Example, Results & Discussion Conclusion Results / Discussion MethodologyIntroduction Optimization Results
14
Ceiling Form Finding Example, Results & Discussion Conclusion Results / Discussion MethodologyIntroduction Optimization Results
15
Ceiling Form Finding Example, Results & Discussion Conclusion Results / Discussion MethodologyIntroduction Ceiling Form & Daylighting Analysis Selected chromosomes of ceiling form changes.
16
Ceiling Form Finding Example, Results & Discussion Conclusion Results / Discussion MethodologyIntroduction Ceiling Form & Daylighting Analysis Optimized Unfit
17
Ceiling Form Finding Example, Results & Discussion Conclusion Results / Discussion MethodologyIntroduction Discussion Ceiling geometry that gives comparable performance, allowing choice in optimum design (50 p/i).
18
Through this procedure, the code demonstrated different novel directions for performativly fit geometry, which leaves the architect with a variety of choices for design. The computer now becomes more than a visualization tool; an unbiased tireless partner in design with extraordinary ways of approaching problems. Conclusion Results / DiscussionMethodologyIntroduction
19
Conclusion Results / DiscussionMethodologyIntroduction Daylighting Quantity Quality Geometry 3D Mesh NURBS Etc… Performance Thermal Acoustics Air Flow Multicriteria Etc… Further Research
20
Architectural Design is the Elegant Science of Creation
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.