PARAMETRIC HIGH RISE OPTIMIZATION Josh T Mauro B Sandeep A

Transcription

1 PARAMETRIC HIGH RISE OPTIMIZATION Josh T Mauro B Sandeep A

2 LOCATION

3 LOCATION

4 SKYLINE

5 SITE

6 FLOW OF WORK OVERVIEW UNDERSTAND OBJECTIVES SINGLE OBJECTIVE OPTIMIZIA TION MULTI OBJECTIVE OPTIMIATION

7 AQUIRING SKILLS SIMPLE MODEL FINAL MODEL Wecision SysML Grasshopper OPTIMIZATION Using a simple polygon to create geometry for a tower

8 BREAKING THE PROBLEM DEFINING GOALS FORM Maximize day light Minimize energy consumption Minimize overturning moment FORM STRUCTURE ENVELOPE STRUCTURE Minimize Carbon Footprint Minimize Construction Cost Achieve target Ideal functional Spans for Each Use- Type ENVELOPE Optimize panel flatness Minimize surface deviation Minimize glass waste

9 DEFINING CONSTRAINTS Target Ideal functional spans for each use-type Keeping the conceptual geometry of the SOM Tower Matching the height of the existing SOM tower Residential 8m 12m Hotel 8m 12m Office 11m 15m Retail 13m 17m Parking 9m

10 CREATING THE BASE TOWER FORM Curve Revolution Surface Line Projection Top Array

11 CREATING THE BASE TOWER FORM Line Used Connection Lines Surface Final Tower

12 MULTI OBJECTIVE OPTIMIZATION To maximize the panel flatness and minimize panel uniqueness FACADE OPTIMIZATION PROCESS DIAGRAM Wecision Wecision and SysML Grasshopper Galapagos Grasshopper Octopus Distance of the forth corner to the plane Goals Optimize panel flatness Minimize surface deviation Minimize glass waste # of panels that have this distance more than 2 cm - minimize Delta angle between the panels & the designed surface 4 corners of each panels # of panels that have Delta angle more than 3 degree- minimize Single Objective Optimizatio n: Minimize this number Single Objective Optimizatio n: Minimize this number

13 FACADE OPTIMIZATION PROCESS Activity Diagram (SysML) Goals (Wecision)

14 FACADE OPTIMIZATION PROCESS

15 FACADE OPTIMIZATION Single Objective Panel Flatness Panel Number location Surface Deviation GENOME

16 MEDEOCRE RESULT BEST RESULT FACADE OPTIMIZATION Multi Objective Optimization GENOME

17 MULTI OBJECTIVE OPTIMIZATION To minimize the structural cost and carbon emission and match the span to optimum span sizes STRUCTURAL OPTIMIZATION PROCESS DIAGRAM Wecision Wecision and SysML Grasshopper Galapagos Grasshopper Octopus Beams spans divided into three parts, each approaching its respective optimum limit Goals Optimize Beam spans to match the optimum spans Calculate the difference between the proposed beam size and the optimum beam spans Express carbon emission in terms of $/sqft Single Objective Optimizatio n: Minimize this number Optimize the cost and the carbon emission to understand the balance Set a multiplication factor to the carbon emission depending on the importance given to it Set the cost for the horizontal structure depending on the beam span Single Objective Optimizatio n: Minimize this number

18 STRUCTURAL OPTIMIZATION PROCESS Activity Diagram (SysML) Evolution of Goals (Wecision)

19 STRUCTURAL OPTIMIZATION DATA Horizontal Structure Carbon (lb/sf of floor area) Horizontal Structure Cost ($/sf of floor area) Vertical Structure Carbon (lb/sf of floor area) Vertical Structure Cost ($/sf of floor area) Less than 8m 8 Abs(Span size) = PENALTY More than 15m 15 Abs(Span size) = PENALTY Residential Hotel Office Retail Parking 8m 12m 8m 12m 11m 15m 13m 17m 9m

20 MEDEOCRE RESULT BEST RESULT STRUCTURAL OPTIMIZATION Single Objective Optimum Span Size GENOME

21 STRUCTURAL OPTIMIZATION Single Objective Structure Cost and Carbon Emission (Emission importance 100 times original value) BEST RESULT MEDEOCRE RESULT GENOME

22 STRUCTURAL OPTIMIZATION Single Objective Structure Cost and Carbon Emission (Emission importance 1 times original value) BEST RESULT MEDEOCRE RESULT GENOME GENOME

23 MEDEOCRE RESULT BEST RESULT STRUCTURAL OPTIMIZATION Multi Objective Optimization Lowest Cost and Carbon Emission (50 times) Optimum Span GENOME

24 ENERGY PROCESS DIAGRAM Wecision Wecision and SysML Grasshopper DIVA Grasshopper Galapagos Assign material specifications for floor, slab, and envelope Goals Minimize Energy Requirements Express energy in terms of kw/h Single Objective Optimization: Minimize this number Input weather Data for the specific region

25 ENERGY PROCESS Activity Diagram (SysML)

26 ENERGY DATA Window Exterior Wall Tower Form Floor/ceiling Create a plane Move to specific floor Trim surface by the tower skin Extrude curve the floor height Scale the extrusion to create window openings Close the walls with a floor and core Select the zones to study and assign materials

27 MEDEOCRE RESULT BEST RESULT ENERGY OPTIMIZATION Single Objective Heating

28 MEDEOCRE RESULT BEST RESULT ENERGY OPTIMIZATION Single Objective Cooling

29 DAYLIGHT PROCESS DIAGRAM Wecision Wecision and SysML Grasshopper Viper Grasshopper Galapagos Assign material specifications for floor, slab, and envelope Goals Minimize Energy Maximize Daylight Requirements Define a floor gird to test light levels Express light levels in terms of lux Single Objective Optimization: Minimize this number

30 DAYLIGHT PROCESS Activity Diagram (SysML)

31 DAYLIGHT DATA Window Exterior Wall Tower Form Floor/ceiling Core

32 MEDEOCRE RESULT BEST RESULT DAYLIGHT Single Objective

33 OVERTURNING MOMENT PROCESS DIAGRAM Wecision Wecision and SysML Grasshopper Grasshopper Galapagos Input Weather Data for specific region Calculate the cross sectional area per floor Goals Optimize the form for the overturning moment Calculate the wind pressure on the façade Calculate the force * Distance (from the ground) Single Objective Optimization: Minimize this number

34 OVERTURNING MOMENT PROCESS Activity Diagram (SysML)

35 OVERTURNING MOMENT DATA Tower Form Project the surface to a vertical plane Calculate the area Force Per Floor Number of Floors Wind Pressure

36 MEDEOCRE RESULT BEST RESULT OVERTURNING MOMENT Single Objective

37 MEDEOCRE RESULT BEST RESULT ENERGY, DAYLIGHT AND OVERTURNING MOMENT Multi Objective Optimization

38 COMBINED OPTIMIZATION Multi Objective Optimization GENOME

39 FINAL ANALYSIS Genome 5,5 Genome 0,0 Genome 11,1 Genome 28,18 Genome 59,1 Genome (x,y) = (Multiplication factor to curve 1, Multiplication Factor to curve 2) GENOME

40 FINAL ANALYSIS O GENOME

41 FINAL ANALYSIS GENOME