GRASSROOTS SCRIPTING CULTURE AND UNICORNS

D ATA U N I T GRASSROOTS SCRIPTING CULTURE AND UNICORNS CREATING & ENFORCING NEW DESIGN WORKFLOWS THAT MAKE TIME FOR COMPUTATION

DATA UNIT | Advancing Computational Building Design 2019.07.30

2

OUTLINE

• TREND VS. WORKFLOW. GRASSROOTS SCRIPTING CULTURE

• USING COMPUTATIONAL DESIGN AS A VALIDATION

AND EDUCATIONAL TOOL

• COMPUTATIONAL DESIGN IMPLEMENTATION

DURING THE DESIGN PROCESS DATA UNIT | Advancing Computational Building Design 2019.07.30

3

30+ YEARS OF PRACTICE DATA DATA UNIT | Advancing Computational Building Design 2019.07.30

OVERVIEW

THE I IN BIM DATA UNIT | Advancing Computational Building Design 2019.07.30

5

OVERVIEW

BOS NYC

BIM

S12

AREAS

S10

AREAS

S8

AREAS

DATA UNIT | Advancing Computational Building Design 2019.07.30

SUSTAINABILITY

DCA SHA

(M2)

(SF)

(SF)

OVERLAPPING/COLABORATION 6

WHAT IS THE PE DATA UNIT? DATA UNIT | Advancing Computational Building Design 2019.07.30

OUR MISSION

THE PE DATA UNIT IS A DEDICATED IN–HOUSE TEAM THAT AUGMENTS OUR FIRM’S DESIGNS, WORKFLOWS, AND SERVICES THROUGH RESEARCH, SCRIPTING, DATA ANALYTICS & COMPUTATIONAL TOOLS

DATA UNIT | Advancing Computational Building Design 2019.07.30

8

OUR GOALS 1. TEAM

1. BETTER DESIGN DATA UNIT | Advancing Computational Building Design 2019.07.30

9

OUR GOALS 1. TEAM

2. IMPROVE EFFICIENCY DATA UNIT | Advancing Computational Building Design 2019.07.30

10

OUR GOALS 1. TEAM

3. SET A GRASSROOTS SCRIPTING CULTURE DATA UNIT | Advancing Computational Building Design 2019.07.30

11

WORKFLOW VS. TREND 1. TEAM

VS

DATA UNIT | Advancing Computational Building Design 2019.07.30

12

WORKFLOW VS. TREND 1. TEAM

DATA UNIT 2019 GOALS

DATA UNIT GOALS

>_

1. TEAM

2. EDUCATION

3. WORKFLOW

4. LIBRARY

ASSEMBLE LEAD TEAM

AUTODESK UNIVERSITY SUPPORT

COLLABORATE WITH PE SPECIALISTS/COMMITTEES

CENTRAL SHARING FOLDER

EXPLOIT EXISTING RESOURCES/DATA

ORGANIZE AND MANAGE FOLDER TRAINING RESOURCES

IDENTITY AMBASSADORS BY DATA UNIT | Advancing Computational Building Design 2019.07.30 STUDIO IN-HOUSE TRAINING CREATE COMMUNICATION

HACKATHONS

13

1. TEAM

DATA UNIT | Advancing Computational Building Design 2019.07.30

14

THE AMBASSADORS 1. TEAM

SHOULD I AUTOMATE THIS?

IHOW COULD WE IMPROVE DESIGN?

HUMAN BY DESIGN PE DU AMBASSADOR

DATA UNIT | Advancing Computational Building Design 2019.07.30

15

THESIS 1. TEAM

A GRASSROOTS SCRIPTING CULTURE TURNS AMBASSADORS INTO UNICORNS

DATA UNIT PRINCIPAL

DATA UNIT MANAGERS

DATA UNIT LEAD SPECIALISTS

DATA UNIT | Advancing Computational Building Design 2019.07.30

DATA UNIT SUPPORT

PE DU AMBASSADOR

16

DATA UNIT 2019 TEAM

THE TEAM 1. TEAM

PE CEO

DATA UNIT PRINCIPAL

DATA UNIT | Advancing Computational Building Design 2019.07.30

DATA UNIT MANAGERS

DATA UNIT LEAD SPECIALISTS

DATA UNIT SUPPORT

PE DU AMBASSADOR

17

THE AMBASSADORS NETWORK 1. TEAM

I ISHOULD AUTOMATE THIS

STUDIO DESIGN PRINCIPALS

STUDIO PROJECT MANAGERS

STUDIO PROJECT TEAM

STUDIOS

DATA UNIT | Advancing Computational Building Design 2019.07.30

II NEED A TOOL TO IMPROVE DESIGN

STUDIO BASIC USER

DATA UNIT SUPPORT

DU AMBASSADOR

DATA UNIT SPECIALISTS

DATA UNIT LEADS

DATA UNIT PRINCIPAL

DATA UNIT

18

THE AMBASSADORS NETWORK 1. TEAM

DCA

CHI

BOS DATA UNIT | Advancing Computational Building Design 2019.07.30

SHA

DXB

NYC 19

2. EDUCATION

DATA UNIT | Advancing Computational Building Design 2019.07.30

20

EDUCATION 2. EDUCATION

STRATEGY THROUGH WORKSHOPS, TRAININGS, AND CONFERENCES

DATA UNIT | Advancing Computational Building Design 2019.07.30

21

DATA MAKES THE CASE

IMPLEMENTATION NUMBER

AUTOMATION

PROGRAMMING

Tree Population F… Gis Shapefile Imp…

2. EDUCATION

GEOMETRY

Gradient Triangulation 15

Data Sheets 10

Sequential Marks 50

Populate Points 6 Revit Renamer 5 Create Sheets …

Element Id 25

ENVIRONMENTAL

Tree Randomizer 5

Master Plan Massing Areas 35

Master Plan Site Subdivision 30

Digital Facade Fabrication; 10

Align Views 5

Façade Pane…

Custom Perf…

Metaballs 2 Weather Data 30

Tower Area Calculations 20 Shadow Analysis 30

ZONING

Diagram Maker 20

ANALYTICS

Landscape Gener…

City Ge…

DOCUMENTATION

Isolate Revision Clouds 10 Solar Radiation 30

Thermal Comfort 20

DATA UNIT | Advancing Computational Building Design 2019.07.30

Midzone Regulation Analysis. Waldram …

Area Export Geometry; …

View Anal… Simulation

22

DATA MAKES THE CASE 6/7/2019

HOURS INVESTED VS. SAVED

Duplicate of Duplicate of Page 1

SCRIPTING HOURS, RUN AND IMPLEMENTED

2. EDUCATION

1,400

1,200

1,000

800

1280 1200 1200

600

800

400

200

160

200

160

320

240 80

85

0

M

a

T

s

ion

t ula

alc

C rea

rA

e ow

65

…

ati

ic br

eF

d ca

a

lF

ta igi

D

gu

e eR

on

idz

…

70

w

Vie

65 de

F

a aç

TOTAL TIME USED

P

ien

po

rt

39 ram

ag Di

er

ak

M

el

xc

E ry;

t

me

o Ge

36

n

tio

la gu

an

ri tT

x aE

e

g

lin

e an

ad Gr

Ar

60

50

is

lys

a An

480

400

h

R To

vit

Re

/ ino

ow

S

d ha

90

50

35

is

lys

a An

rR

la So

n

tio

ia ad

al

Th

erm

TOTAL USED WITHOUT SCRIPT

DATA UNIT | Advancing Computational Building Design 2019.07.30

rt

fo

m Co

t

Da

ts

ee

h aS

W

e

th

ea

ta

a rD Se

n

la rP

ste

a

M

ia

nt

e qu

s

ark

lM

e Sit

b

Su

n

sio

i div

y Cit

e ap

c

ds

n La

n

tio

ra ne

Ge

100

48 n

tio

ra ne

Ge

Ele

as

M

te rea

C m

C

to us

ets

he

S

low

rF Ai m

Fro

nd

A ns

io

rat

o erf

P

s

ea

r gA

sin

as

nM

la

P ter

d

tI

n me

40

ce

Ex

P

or

F ion

at

liz

e an

it

ev

R l In

s Gi

s

en

re Sc a

Sh

le

fi pe

I

e

lat

Iso

e Tre

r

rte

o mp

p

Po

ion

t ula

s

ud

lo nC

o

isi

v Re

80

40 D

2 or

F

D

s

am

r iag

M

s

all

b eta

t

ula

p Po

s

int

o eP

an

T

R ree

r

ize

m do

ig

Al

ws

ie nV

vit

Re

80

R

r

me

a en

TIME SAVED:

• 6,581.2 HOURS / 822 DAYS IN 1/1 THE LAST 12 MONTHS 23

3. WORKFLOW

DATA UNIT | Advancing Computational Building Design 2019.07.30

24

WORKFLOWS 3. WORKFLOW

SHORT TERM PROJECT 1- 3 MONTHS AUTOMATIC ROOM AREA TAGS FIND ADAPT USE PE USER

PE DU AMBASSADOR

PE DU SPECIALIST

PE DU SUPPORT >_

MIDDLE TERM PROJECT 2- 6 MONTHS FACADE ADAPTIVE PANELS CREATE DISCUSS ADAPT USE

PE USER

PE DU AMBASSADOR

PE DU SPECIALIST

PE DU SPECIALIST

PE DU LEADS

PE DU LEADS

SCRIPT LIBRARY CENTRA LOCATION TRAINING RESOURCES LEGACY SCRIPTS STANDARDS

LONG TERM PROJECT 6- 9 MONTHS ENVIRONMENTAL DATA SCRIPTS

PE DU AMBASSADOR IDENTIFY SCRIPTING OPPORTUNITIES

SHORT TERM MIDDLE TERM LONG TERM LONGEST TERM

RESEARCH DISCUSS CREATE ADAPT TEST USE

PE COMMUNITY SPECIALIST

“BIG PICTURE” PROJECT 12 -18 MONTHS DATABASE MINING FIRMWIDE IMPACT

DATA UNIT | Advancing Computational Building Design 2019.07.30

PE COMMUNITY SPECIALIST

PE DU SPECIALIST

PE DU LEADS

PE DATA UNIT PRINCIPAL

25

291'-2" 18'-6"

2'-11"

20'-4"

1'-7"

21'-8"

18'-6"

13'-2"

20'-8"

20'-8"

9'-5" 3'-10"

18'-5"

29'-4"

AREAS OF WORK

29'-4"

DN STAIR A

ST-8A

MS STUD. RM.

CLASS MS

826

DATA MINING + PROGRAMMING

DATA ANALYTICS

PRODUCTIVITY + AUTOMATION

835

CLASS MS

FAC. WORK. MS

836

856

UP

3. WORKFLOW

MS STUD. RM. 839

CLASS MS

12 A-525

834

6 A-526 TEL. 838 CLASS MS

CLASS MS

12 A-526

857

CLASS MS

CLASS MS

855

INSTRUCTION STOR.

833

842

841 CONF. SUITE MS 854 CLASS MS

WORKROOM MS

COPY RM.

849A

849B

CONF. SUITE MS

858

HEAD MS

853

849D

CONF. SUITE MS

COUNSELOR MS

863

STAIR I

COPY AREA

STOR.

861

861A

ST-8I

GRADE LEVEL STOR.

849

W.C. STAFF

TEL

COUNSELOR MS

WAIT MS

852

859

UP

849E

W.C. STAFF

849F COUNSELOR MS

851

860

849G

TEL. 800D

DN TERRACE

CONF. SUITE MS 843 CONF. SUITE MS

FILE STOR. MS

CLASS MS 832

844 CONF. SUITE MS

849C

845

INSTRUCTION STOR.

CLUB RM. MS

846

831

STUDENT STOR.

CLUB RM. MS

847

CLASS MS 829

830

W.C. STAFF 850

1 / A-108A 21x48

22x36

21x48

22x36

MECH.

21x42

1 / A-108B 21x42

36DR

862

ELEC.

800E

CENTR. KIT. 21x42

21x48

21x48

800C

21x42

W.C. 800A

800F

CLASS MS

823

824

CLASS MS

LG CONFE M

825

81

MS COMMONS

MECH. W.C.

CM805

800B

H

CLASS MS

MS ST RM CLASS MS

CLASS MS

822

821

CLASS MS

81

820

SM CONFE M

ELEV. LOBBY

H

81

800

Mag na Wa ve M T

H Mag na Wa ve M T

R

TEL.

ELEC.

800H

800I

INSTRUCTION STOR.

21x48 21x48 21x48 21x48

UP

803

CLASS MS

MS COMM

MS COMMONS

CM8

CM81

GRADE LEVEL STOR.

STUDENT STOR.

802

801

CLASS MS 805

804

CLASS MS 806

SM CONFERENCE MS 807

CLASS MS 808

TEL.

MS STUD. RM.

809

810

CLASS MS 811

STAIR F ST-8F DN

DN STAIR G

ST-8G

DATA + SUSTAINABILITY DATA UNIT | Advancing Computational Building Design 2019.07.30

BETTER MODELING

DATA + URBAN PLANNING

26

BETTER MODELING AND VALIDATION TOOLS

DATA UNIT | Advancing Computational Building Design 2019.07.30

MODEL AREA CALCULATIONS PROGRAMMING & GEOMETRY

GEOMETRY INPUT 0 1 2 3

MASSING CORE VOIDS INFO PT

BREP BREP BREP PT

PROGRAM DATA FRAME

INPUTS MASSING CORE EXCEL WITH LEVELS AND NAMES

0 1 2 3 4

Name Colour FAR_Bool NoOfFloors FloorHeight

STR COL BOOL INT FLOAT

def genGeometry def getData

NUMBER FLOOR 0 GROUND 1 MEZZANINNE 2 MEZZANINNE 3 PARKING 4 PARKING 5 PARKING 6 PARKING 7 PARKING 8 PARKING 9 AMENITIES 10 MECHANICAL 11 OFFICE 12 OFFICE 13 OFFICE 14 OFFICE 15 OFFICE 16 OFFICE 17 OFFICE 18 OFFICE 19 OFFICE 20 OFFICE 21 OFFICE 22 OFFICE 23 OFFICE 24 REFUGE 25 MECHANICAL 26 OFFICE 27 OFFICE 28 OFFICE 29 OFFICE 30 OFFICE 31 OFFICE 32 OFFICE 33 OFFICE 34 OFFICE 35 OFFICE 36 OFFICE 37 OFFICE 38 MECHANICAL 39 MECHANICAL

PROJECT: PLATFORMS: DESCRIPTION:

HEIGHT 6 4.5 4.5 3 3 3 3 3 3 6 6 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 3 3 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5

0 1 2

FLOORS LIST PROGRAMS LIST HEIGHTS LIST

def populateBldg

• HIGH RISE • RHINO/ GRASSHOPPER • CONTOUR SUBDIVISION AND RAPID AREA FEEDBACK.

DATA UNIT | Advancing Computational Building Design 2019.07.30

PLAN 19

PLAN 28

PLAN 37

PLAN 9

PLAN 18

PLAN 27

PLAN 36

PLAN 8

PLAN 17

PLAN 26

PLAN 35

PLAN 7

PLAN 16

PLAN 25

PLAN 34

PLAN 6

PLAN 15

PLAN 24

PLAN 33

PLAN 5

PLAN 14

PLAN 23

PLAN 32

PLAN 4

PLAN 13

PLAN 22

PLAN 31

PLAN 12

PLAN 21

OUTPUTS

BUILDING DATA FRAME

0 1 2 3

3. WORKFLOW

PLAN 10

MASSING 3D INFO DATA FLOORS

PLAN 3 BTB Tower

180409

General Calculation

TEORIC

BREP TEXT EXCEL DWG

SCHEME02

FAR (given)

5.2

LOT AREA

3960

08. Total Parking Area

27480

20867

07. Total Parking Number

687

577

FAR (Open Office Space Area)

20592

BUA (FA ‐ VOIDS)

63301

PLAN 2

Efficency

OUTPUTS EXCEL 3D STOCK MASSING AREA PLAN 2D PLAN 30

TOTAL OFFICE FLOOR

35

MECHANICAL FLOORS

2

REFUSE FLOOR MEZZ. FLOOR+skyebridge

1PLAN 20 2

25035

GROUND

1

68917

TOTAL NO. OF FLOORS

41

PLAN 11

PLAN 29

74%

TOWER GROUND

MEZZA 1

MEZZA 2

Skybridge

OFFICE

OFFICE

OFFICE

OFFICE

OFFICE

OFFICE

OFFICE

OFFICE

OFFICE

OFFICE

MECH

FLOOR NO. FLOOR AREA DEDUCTIONS :

1400

1016

1019

1400

1026

1027

1029

1035

1048

1066

1087

1109

1130

1148

1163

01. VOIDS 02. MEP 03 LIFT LOBBY 04. TOILETS 05 CORRIDOR

101 25 1899 39 157

101 25 1899 39 157

101 25 1899 39 157

101 25 103 39 157

101 25 103 39 157

101 25 103 39 157

101 25 103 39 157

101 25 103 39 157

101 25 103 39 157

101 25 103 39 157

101 25 103 39 157

101 25 103 39 157

101 25 103 39 157

101 25 103 39 157

0 0 0 0 0

06. 20% RULE

11

15

15

11

15

15

15

15

15

15

14

14

14

14

0

FAR (Open Office Space Area)* GFA (Circ+FAR+Serv) BUA (FA ‐ VOIDS)

0 0 1299

0 0 915

0 0 918

0 0 1299

0 0 925

604 902 927

606 904 929

611 909 934

624 922 947

642 940 965

664 962 987

686 984 1009

706 1004 1029

724 1022 1047

0 0 1163

69.2%

0.0%

EFF=(FAR/BUA)

G

M1

M2

1

2

3

4

5

6

7

8

9

10

0.0%

0.0%

0.0%

0.0%

0.0%

65.2%

65.2%

65.4%

65.9%

66.5%

67.3%

68.0%

68.6%

PARKING

PARKING

PARKING

PARKING

PARKING

PARKING

PARKING

PARKING

PARKING

PARKING

Amenities

Amenities

TOTAL

11

12

PODIUM FLOOR NO. FLOOR AREA DEDUCTIONS : 01. VOIDS 02. MEP 03 LIFT LOBBY 04. TOILETS 05 CORRIDOR 07. Total Parking Number 08. Total Parking Area

BUA (FA ‐ VOIDS)

1

2

3

4

5

6

7

8

9

9

10

11

1363

1474

1503

1504

1584

1610

1621

1619

1574

1574

1531

1449

18406

120 10 30 40 50 36 1077 1243

120 10 30 40 50 36 1188 1354

120 10 30 40 50 36 1217 1383

120 10 30 40 50 36 1218 1384

120 10 30 40 50 36 1298 1464

120 10 30 40 50 36 1324 1490

120 10 30 40 50 36 1335 1501

120 10 30 40 50 36 1333 1499

120 10 30 40 50 36 1288 1454

120 10 30 40 50 36 1288 1454

101 125 30 40 50

300 25 30 40 50

1430

1149

1601 250 360 480 600 360 12566 15657

SCRIPT TIME (H) SCRIPT RUN TIME(H) IMPLEMENTED (N) TOTAL TIME USED (H) SAME TASK W/O SCRIPT (H) TOTAL TIME W/O SCRIPTING (H) TIME SAVED (H)

60 0.25 20 65 8 160 95

28

QUANTITATIVE VIEW ANALYSIS

DATA-INFORMED DESIGN

DATA UNIT | Advancing Computational Building Design 2019.07.30

SCRIPT TIME (H) SCRIPT RUN TIME(H) IMPLEMENTED (N) TOTAL TIME USED (H) SAME TASK W/O SCRIPT (H) TOTAL TIME W/O SCRIPTING (H) TIME SAVED (H)

3. WORKFLOW

40 1 25 65 NA-40 200 135

29

MIDTOWN DAYLIGHT EVALUATION CHART ZONING

PROJECT: DESCRIPTION:

• MID-ZONE SKYSCRAPER COMPETITION, NEW YORK. WALDRAM DIAGRAM • A DAYLIGHT EVALUATION CHART IS A GRAPHIC MEASUREMENTS TOOL FOR SKY OCCLUSION

BY A BUILDING WHEN VIEWED FROM A CERTAIN VANTAGE POINT • USED BY CITY COUNCILS, NEW YORK, AS AN ALTERNATE METHOD TO DEVISE BULK REGULATIONS IN LIEU OF TRADITIONAL HEIGHT AND SETBACK REGULATIONS. • THE SCRIPT QUICKLY VALIDATES AND INFORMS MASSING EXERCISES AND THEIR IMPACT ON THE SURROUNDING STREET-SCAPE

DATA UNIT | Advancing Computational Building Design 2019.07.30

SCRIPT TIME (H) SCRIPT RUN TIME(H) IMPLEMENTED (N) TOTAL TIME USED (H) SAME TASK W/O SCRIPT (H) TOTAL TIME W/O SCRIPTING (H) TIME SAVED (H)

3. WORKFLOW

80 0.3 20 86 80 1,600 1,514

30

PRODUCTIVITY + AUTOMATION DATA UNIT | Advancing Computational Building Design 2019.07.30

AUTOMATION TOOLS 3. WORKFLOW L.2

L

K.9

K

J.9

J

H.4

H

G

F.5

F

E.8

E

D

C

B

A

291'-2" 18'-6"

2'-11"

20'-4"

1'-7"

21'-8"

18'-6"

13'-2"

20'-8"

20'-8"

9'-5" 3'-10"

18'-5"

29'-4"

29'-4"

30'-4"

32'-6"

11 DN STAIR A

MS STUD. RM.

CLASS MS

826

32'-2"

ST-8A

835

CLASS MS 836

10

UP

MS STUD. RM.

856

839

CLASS MS

30'-8"

FAC. WORK. MS

12 A-525

834

6 A-526 9

TEL. 838 CLASS MS

CLASS MS

12 A-526

CLASS MS

855

857

CLASS MS

INSTRUCTION STOR.

833

842

WORKROOM MS

COPY RM.

849A

849B

CONF. SUITE MS

858

HEAD MS

853

849D

CONF. SUITE MS

COUNSELOR MS

863 COPY AREA

STOR.

861

861A

ST-8I

GRADE LEVEL STOR.

852

WAIT MS

COUNSELOR MS

849

849F

W.C. STAFF

TEL

UP

849E

W.C. STAFF

859

COUNSELOR MS

851

860

849G

TEL. 800D

DN TERRACE

843 CONF. SUITE MS

FILE STOR. MS

832

844 CONF. SUITE MS

849C

845 7

INSTRUCTION STOR.

CLUB RM. MS

846

831

STUDENT STOR.

CLUB RM. MS

847

CLASS MS

CLASS MS

828

829

INSTRUCTION STOR.

W.C. STAFF

MS STUD. RM.

827

830

827A

850

1 / A-108A

22x36

862

21x42

21x48

21x48

1 / A-108B

UP ST-8B

800C

21x42

W.C. 800A

800F

CLASS MS

823

824

CLASS MS 825

W.C.

816

817

CM805

800B

5

MS STUD. RM. CLASS MS

CLASS MS

822

821

CLASS MS

818

820

SM CONFERENCE MS

ELEV. LOBBY

H

MECH.

LG CONFERENCE MS

MS COMMONS

MECH.

H

CLASS MS

CLASS MS

30'-0"

21x42

36DR

21x48

815

819

4

STUDENT STOR.

ELEC.

800

814

815A

Mag na Wa ve M T

H Mag na Wa ve M T

STAIR D UP R

TEL.

ELEC.

800H

800I

INSTRUCTION STOR.

21x48 21x48 21x48 21x48

UP

803

6

1 / A-108A

DN STAIR B

ELEC.

800E

CENTR. KIT.

30'-0"

MECH.

22x36

21x42

21x48

24'-6"

1 / A-108B

MS COMMONS

MS COMMONS

STUDENT STOR.

802

801

ST-8D

DN

3

CM84

CM81

GRADE LEVEL STOR.

8

CLASS MS

11 A-522

24'-6"

STAIR I

CONF. SUITE MS

265'-10"

854

32'-8"

CONF. SUITE MS CLASS MS

61'-4"

841

2

CLASS MS 804

CLASS MS 805

CLASS MS 806

SM CONFERENCE MS 807

CLASS MS 808

TEL.

MS STUD. RM.

809

810

CLASS MS 811

CLASS MS

CLASS MS

812

813

6 A-525

STAIR F DN STAIR G

ST-8F DN

1

ST-8G

PROJECT: DESCRIPTION:

• CONSTRUCTION DOCUMENTS PROJECTS • THIS EXAMPLE TAKES A POLYLINE THAT IS DRAWN OVER A FLOOR PLAN AND RENUMBERS THE ROOMS OF THAT ENTIRE FLOOR SEQUENTIALLY FOLLOWING THE PATH OF THE POLYLINE. A TASK THAT NORMALLY TAKES HOURS OF WORK AND NEEDS TO BE REDONE CONSISTENTLY CAN BE DONE IN A MATTER OF MINUTES EACH TIME.

DATA UNIT | Advancing Computational Building Design 2019.07.30

SCRIPT TIME (H) SCRIPT RUN TIME(H) IMPLEMENTED (N) TOTAL TIME USED (H) SAME TASK W/O SCRIPT (H) TOTAL TIME W/O SCRIPTING (H) TIME SAVED (H)

0.5 3 20 1.5 2 40 38.5

32

DATA + SUSTAINABILITY DATA UNIT | Advancing Computational Building Design 2019.07.30

SOLAR RADIATION ANALYSIS SOLAR GAINS OVER A SURFACE

3. WORKFLOW

YEARLY SOLAR RADIATION ANALYSIS

SOLAR RADIATION RANGES

DATA UNIT | Advancing Computational Building Design 2019.07.30

SOLAR RADIATION ANALYSIS BY FAÇADE

TYPE: SOFTWARE: DEVELOPMENT TIME: RESULT GENERATION TIME: TIME IT USED TO TAKE WITHOUT TOOL:

ENVELOPE PERFORMANCE ANALYSIS RHINO/GRASSHOPPER 45 HOURS IN TWO WEEKS 15 HOURS FULL REPORT 50 HOURS WITH CONSULTANT

34

THERMAL COMFORT

URBAN MICRO CLIMATE MAP

3. WORKFLOW

MULTIPLE MICRO CLIMATE MAPS WITHIN ONE PROJECT

3D UTCI (UNIVERSAL THERMAL COMFORT INDEX) DIAGRAM

80.75째F/26.76째C

81.69째F/27.60째C

MICRO CLIMATE MAPS WITHIN DIFFERENT GEOMETRIES

DATA UNIT | Advancing Computational Building Design 2019.07.30

TYPE: SOFTWARE: DEVELOPMENT TIME: RESULT GENERATION TIME: TIME IT USED TO TAKE WITHOUT TOOL:

OUTDOOR THERMAL COMFORT RHINO/GRASSHOPPER 50 HOURS IN TWO WEEKS 30 HOURS FULL REPORT 40 HOURS WITH CONSULTANT

35

DATA + LARGE SCALE DATA UNIT | Advancing Computational Building Design 2019.07.30

LARGE PROJECT FRAMEWORK MASTER PLANNING VISION

DATA UNIT | Advancing Computational Building Design 2019.07.30

3. WORKFLOW

37

DATA MINING

The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems

DATA UNIT | Advancing Computational Building Design 2019.07.30

DATA MINING Basically, this is the process of GATHERING MANY SOURCES OF DATA TO ONE LOCATION

DATA UNIT | Advancing Computational Building Design 2019.07.30

and then ANALYZING IT TO MAKE BETTER DECISIONS

3. WORKFLOW

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DATA MINING

SOURCES

STRUCTURED w/ Headers

DATA UNIT | Advancing Computational Building Design 2019.07.30

SEMI-STRUCTURED

3. WORKFLOW

UNSTRUCTURED

w/o Headers

40

DATA GEOMETRY GENERATION

EXCEL ROOM AREAS FOR COLLABORATIVE DESIGN

m2

3. WORKFLOW

AREA ROOMS WORKFLOW

EXCEL DATABASE CLIENT / CONSULTANTS + COLOR PALETTE

EXCEL OUTPUT FOR FEEDBACK

EXCEL OUTPUT INTERFACE

GRASHOPPPER SCRIPT

DYNAMO SCRIPT

EXCEL OUTPUT FOR FEEDBACK ARCHITECTURE REVIT 3D MODEL

RHINOCEROS 3D MODEL

ENVIRONMENTAL ANALYSIS

CURVED MASSING

FACADE DESIGN

DATA UNIT | Advancing Computational Building Design 2019.07.30

LAYOUT

COORDINATION

DOCUMENTATION

DETAILING

TYPE: SOFTWARE: DEVELOPMENT TIME: RESULT GENERATION TIME: TIME IT USED TO TAKE WITHOUT TOOL:

PROGRAMMING EXCEL / RHINO / GRASSHOPPER 40 HOURS 1 HOURS 60 HOURS DATA GEOMETRY GENERATION

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DATA GEOMETRY GENERATION

EXCEL ROOM AREAS FOR COLLABORATIVE DESIGN

3. WORKFLOW

LEGEND Academic Departments College Adminstration Instructional Facilities Student Activities Special Facilities Research & Graduate Programs

INSTRUCTIONAL FACILITIES

HEARING AND SPEECH SCIENCES 450

MEDICAL LABORATORY SCIENCES 3,485

VICE DEAN ACADEMIC AFFAIRS 955

CLASSROOMS 420

HEALTH INFORMATICS AND INFORMATION MANAGEMENT 85 STUDENT ADVISING & COUNSELLING 100 PRAYER SPACE 180 STUDENT ACTIVITIES 75

MEDICAL LABORATORY SCIENCES 1,615

ADMINISTRATIVE DIRECTOR 960 DIAGNOSTIC RADIOGRAPHY 980

RESPIRATORY THERAPY 335 FACULTY COMPUTER LABORATORIES 205

MEDICAL LABORATORY SCIENCES 1,155

VICE DEAN PLANNING, CONSULTING & TRAINING

OCCUPATIONAL THERAPY 865

HEARING AND SPEECH SCIENCES 655

OCCUPATIONAL THERAPY 3,070

NUCLEAR MEDICINE 235

ALLOWANCE FOR NEW DEPARTMENTS 7,200 RESPIRATORY THERAPY 230

VICE DEAN STUDENT AFFAIRS 305 ENGLISH LANGUAGE UNIT 35

760 RESPIRATORY THERAPY 590

ALLOWANCE FOR NEW DEPARTMENTS 4,250

PHYSICAL THERAPY 850

HEARING AND SPEECH SCIENCES (NEW) 415

HEALTH INFORMATICS AND INFORMATION MANAGEMENT 550

CLASSROOMS 1,505

INSTRUCTIONAL FACILITIES Place holder

ASSEMBLY/EXHIBIT SPACE 350

STUDENT ACTIVITIES

PLACE HOLDER 260

STUDENT ACTIVITIES STUDENT ADVISING & COUNSELLING 75 PRAYER SPACE 180 STUDENT ACTIVITIES 30

DIAGNOSTIC RADIOGRAPHY 520

NUCLEAR MEDICINE 490 HEALTH INFORMATICS AND INFORMATION MANAGEMENT

DIAGNOSTIC RADIOGRAPHY /NUCLEAR MEDICINE 1,345

OCCUPATIONAL THERAPY 1,200

225 DEAN'S OFFICE 555

GRADUATE PROGRAMS 600

RESPIRATORY THERAPY 610

VICE DEAN RESEARCH 50

STUDENT STUDY SPACE 1,200

STUDENT ACTIVITIES

DIAGNOSTIC RADIOGRAPHY/NUCLEAR MEDICINE 190

PHYSICAL THERAPY 915

COLLEGE ADMINISTRATION

OCCUPATIONAL THERAPY 145

HEALTH INFORMATICS AND INFORMATION MANAGEMENT 50

PHYSICAL THERAPY 1,595

RESPIRATORY THERAPY 430

STUDENT STUDY SPACE 505

CLASSROOMS 240 HEALTH INFORMATICS AND INFORMATION MANAGEMENT 85 FACULTY COMPUTER LABORATORIES 110 OCCUPATIONAL THERAPY 125

INSTRUCTIONAL FACILITIES

RESEARCH & GRADUATE PROGRAMS

SPECIAL FACILITIES

ACADEMIC DEPARTMENTS

DATA UNIT | Advancing Computational Building Design 2019.07.30

TYPE: SOFTWARE: DEVELOPMENT TIME: RESULT GENERATION TIME: TIME IT USED TO TAKE WITHOUT TOOL:

PROGRAMMING EXCEL / RHINO / GRASSHOPPER 40 HOURS 1 HOURS 60 HOURS DATA GEOMETRY GENERATION

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>_

4. LIBRARY

DATA UNIT | Advancing Computational Building Design 2019.07.30

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CENTRAL LIBRARY

>_

4. LIBRARY

SCRIPTS LIBRARY GRASSHOPPER

EN_SOLAR RADIATION TUTORIALS BASE FILE SCRIPT

TXT FILE LOG, VERSION, AUTHORS VIDEO PDF SAMPLES

PR_TOWER FLOOR AREAS TUTORIALS BASE FILE

DYNAMO

SCRIPT INSTRUMENTAL FILES

TXT FILE LOG, VERSION, AUTHORS VIDEO PDF SAMPLES

DI_FACADE PANELING TUTORIALS

OTHERS

BASE FILE PANELS SCRIPT

DATA UNIT | Advancing Computational Building Design 2019.07.30

TXT FILE LOG, VERSION, AUTHORS VIDEO PDF SAMPLES

44

CONCLUSION DATA UNIT | Advancing Computational Building Design 2019.07.30

HOW TO CREATE A UNICORN

DATA UNIT 2019 GOALS

>_

1. TEAM

2. EDUCATION

3. WORKFLOW

4. LIBRARY

ASSEMBLE LEAD TEAM

AUTODESK UNIVERSITY SUPPORT

COLLABORATE WITH PE SPECIALISTS/COMMITTEES

CENTRAL SHARING FOLDER

EXPLOIT EXISTING RESOURCES/DATA

ORGANIZE AND MANAGE FOLDER TRAINING RESOURCES

IDENTITY AMBASSADORS BY

DATA UNIT | Advancing Computational Building Design 2019.07.30 STUDIO IN-HOUSE TRAINING CREATE COMMUNICATION

HACKATHONS

46

“... IS THE ACCUMULATION AND OUR ABILITY TO PROCESS INFORMATION THAT DEFINES THE ARROW OF GROWTH ENCOMPASSING THE PHYSICAL, THE BIOLOGICAL, THE SOCIAL AND THE ECONOMIC, AND WHICH EXTENDS FROM THE ORIGIN OF THE UNIVERSE TO OUR MODERN ECONOMY.” DATA UNIT | Advancing Computational Building Design 2019.07.30

HIDALGO, CÉSAR. 2016. WHY INFORMATION GROWS. 1ST ED. NEW YORK: BASIC BOOKS.