AI Optimization Tool for Efficient Architectural Design
Architects face challenges in material selection, cost balancing, and code compliance, leading to complex processes. Decision makers require improved workflows and decisions with more efficient design tools. Explore the design motivation, ideas, and optimization user interface for enhanced architectural design. Consider challenges and future works in making AI understand human nature and design functionality, and its potential in decision-making processes.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
AI optimization tool for architecture design Klay Li 03/06/2024
Design motivation Architects face challenges in efficiently choosing the right materials, balancing costs, and meeting code requirements, leading to complex design processes. Point of view Time Decision makers need to improve their decisions and workflows based on more efficient optimized design tools. Cost Quality
Design optimization tool user interface Combined score 80/100 Best Worst User defined weighting Goals Evaluations for current Optimized evaluation Cost: Cost: $100,000 Cost: $90,000 Maintenance years: Maintenance years: 5yrs Maintenance years: 8yrs CO2: <= CO2: 23 Tons CO2: 20 Tons Acoustics: Acoustics: 85 db Acoustics: 80 db Temperature range: Temperature range: 18 25 C Temperature range: 18 25 C Humidity: Humidity: 30% - 50% Humidity: 20% - 40% Design choices Other restrictions Glass area: Piping material: Dorm Glass Wood Solid walls area: Wire material: Open area Fabric Concrete volume: Lighting options: Kitchen Min Max Plastic Code options: Common room Concrete Steel Etc.(library) Etc.(library)
Challenges and future works How to make AI understand human natures? How to make AI better understand the functioning purpose of the design? Can AI make decision for people?
