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Interactive Layout Design Optimization

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fiorella
15 diapositives · 359 Views · Feb 02, 2013

This presentation introduces an innovative interactive design tool developed to assist designers in optimizing building layouts. The tool employs computational methods to mathematically model various design aspects while enabling designers to make subjective decisions based on human judgment and intuition. It features an object-oriented interface, automated design techniques, and a comprehensive set of constraints for topology and geometrical optimization. The methodology focuses on minimizing costs related to heating, cooling, lighting, and inefficient space usage, enhancing the collaboration between designers and optimization algorithms.

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Interactive Layout Design Optimization
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  1. Interactive Layout Design Optimization Author: Jeremy J. Michalek Presented by: Hoda Homayouni

  2. Introduction • An interactive design tool that supports the designer by computationally optimizing aspects that can be modeled mathematically, while giving the designer control to make decisions influenced by subjective human judgment and intuition.

  3. Design Tools • Interactive Design Tool:an object oriented representation with an interface that allows the designer to interact with the building layout optimization problem. • Automated Design Tool:uses a decomposition strategy to separate topological decisions from purely geometric decisions.

  4. Topology optimization Constraints: • Overlap • Connectivity • Path • Planarity • Envelope

  5. Geometric Optimization Toolbox of Constraints: • Force Inside • Prohibit Intersection • Force Minimum Intersection • Force to Edge • Bound Size • Bound Ratio • Feasible Window • Bound Build Cost • Bound Lighting

  6. Design Objectives Minimizing: • Heating cost • Cooling cost • Lighting cost • Wasted space • Accessway size • Hallway Size

  7. Procedure • Define Rooms & Halls • Move Rooms into Rough Location • Define Connections • Choose an Objective • Add Additional Constraints

  8. Procedure • Optimize • Topology Constraints: Using GA • Geometry Constraints: Using SA and SQP

  9. Procedure • Examine Results Estimate of: • performance cost • build cost • lifetime cost • natural lighting level • the living space

  10. Procedure • Iterate Manipulating the design by: • Changing the weights of each individual objective. • Adding, deleting and modifying objectives, constraints and Units. • Changing variable formulation

  11. Procedure • A Hallway is reduced

  12. Procedure • Third bedroom is added

  13. Procedure • Visualizing Options:

  14. Procedure • Visualizing Options

  15. Discussion Collaboration between the designer and optimization algorithms: • Designer experience+ efficiency of gradient algorithms • Avoiding computational traps • Exploring solutions and trade offs • Filling the gap in computer design support