CONTENTS
Cost Estimating Tools
08
Revit-Excel Data Flow
16
Advisary Services Massing Visualization
20
Solar Optimization
24
DNA Sequence Ceiling Pattern
32
Three-Dimensional Shadows in Rhino
34
Circulation Simulation
36
Vray Entourage Generator
42
Rhino Section Box
44
VR on Sheppard Pratt
46
2018 Light City Proposal
48
BIM Tools
Cost Estimating Tools 8
Cost estimation is often a layer of the project that has definitive milestones where pricing exercises takes place. Why shouldn’t pricing become a more dynamic activity that is accessible to the project team? Through simple cost estimating tools that are intuitive to Revit users, designers can open up a cost estimating dialogue that supersedes predefined dates. Designers can start to notice the impacts of their design choices on a daily basis and when value engineering takes place, the design team can more directly measure V.E. hypotheses to develop scenarios that preserve the overall design intent of the building.
Fig. 1 A simple collection of Dynamo scripts can take measurements and quantities from the live Revit model.
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Fig. 2 This Excel document tracks how the project is evolving over time and how each day’s design decisions have impacted the overall budget. Using unit pricing developed by Grand Island Cost Estimating, we had a running order-of-magnitude price.
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# Item
sf
SOFFITS: 1 Ambulance Bay Soffit 2 Remove Loading Dock Soffit
3 4 5 6 7 8 9 10 11 12 13
14 15 16 17 18 19 20 21
22 23 24 25 26 27 28 29 30 31 32 33 34 35
Prev. Mat.
Prev. $
New Mat.
New $
Prev. T
New T
sf$ Delta
Delta
Comments
6635 High Pressure Laminate 3245 Magnesium Oxide Board
$ $
62.54 Magnesium Oxide Board 36.48 REMOVE
$ $
36.48 $ $
414,953 $ 118,378 $
242,045 $ $
26.06 $ 36.48 $
172,908 118,378
RAINSCREEN MATERIAL: Ambulance Bay Rainscreen Finish Ambulance Bay Rainscreen Finish Mech Bay Above Dining Rainscreen Mech Bay Above Dining Rainscreen Support Building Rainscreen Support Building Rainscreen Main Courtyard Rainscreen Upper Courtyard Rainscreen Back of Support Building Stair Rainscreen Future Courtyard Rainscreen End of West IPU Rainscreen
3377 400 821 479 4347 412 5173 1275 1008 2397 1884
Taktl Corium Corium Taktl Taktl Corium Taktl Taktl Corium Taktl Corium
$ $ $ $ $ $ $ $ $
71.4 62.54 62.54 71.40 71.40 62.54 71.40 71.40 62.54 71.40 62.54
Metal Panel Metal Panel Metal Panel Metal Panel Metal Panel Metal Panel Taktl 2 Taktl 2 Metal Panel Taktl 2 Metal Panel
$ $ $ $ $ $ $ $ $ $ $
40.85 40.85 40.85 40.85 40.85 40.85 56.40 56.40 40.85 56.40 40.85
$ $ $ $ $ $ $ $ $ $ $
241,118 25,016 51,345 34,201 310,376 25,766 369,352 91,035 63,040 171,146 117,825
$ $ $ $ $ $ $ $ $ $ $
137,950 16,340 33,538 19,567 177,575 16,830 291,757 71,910 41,177 135,191 76,961
$ $ $ $ $ $ $ $ $ $ $
30.55 21.69 21.69 30.55 30.55 21.69 15.00 15.00 21.69 15.00 21.69
$ $ $ $ $ $ $ $ $ $ $
103,167 8,676 17,807 *Model did not Reflect Design Intent in this Area 14,633 *Model did not Reflect Design Intent in this Area 132,801 *Subtracts Removed Cooling Tower Screen from Below 8,936 77,595 19,125 21,864 35,955 40,864
SCREEN WALL MATERIAL: Screen Wall Above Lobby (South Only) Screen Wall Above Lobby (Remainder) Small Taktl Screen Above Lobby Screen Wall Removal at Cooling Towers Corium Inside Support Building Stair
1940 2719 125 546 165
Taktl Taktl Taktl Taktl and Tube Steel Corium
$ $ $ $ $ 3504 Taktl $ 949 Taktl and Tube Steel $ 1801 Metal Panel and Tube Steel $
71.40 71.40 71.40 91.94 62.54 71.40 91.94 61.39
Metal Panel Metal Panel Metal Panel REMOVED Concrete Shear Wall Metal Panel REMOVED REMOVED
$ $ $ $ $ $ $ $
40.85 40.85 40.85 40.85 -
$ $ $ $ $ $ $ $
138,516 194,137 8,925 50,199 10,319 250,186 87,251 110,563
$ $ $ $ $ $ $ $
79,249 111,071 5,106 143,138 -
$ $ $ $ $ $ $ $
30.55 30.55 30.55 91.94 62.54 30.55 91.94 61.39
$ $ $ $ $ $ $ $
59,267 83,065 3,819 50,199 10,319 107,047 87,251 110,563
Laminated 2 Side Laminated 1 Side Laminated 1 Side CFMF Metal Panel Laminated 1 Side Laminated 2 Side Laminated 1 Side Laminated 2 Side Laminated 1 Side Laminated 2 Side Laminated 1 Side Laminated 2 Side NO CHANGE CFMF Metal Panel
$ $ $ $ $ $ $ $ $ $ $ $ $ $
125.08 114.65 114.65 40.85 114.65 125.08 114.65 125.08 114.65 125.08 114.65 125.08 135.50 40.85
$ $ $ $ $ $ $ $ $ $ $ $ $ $
111,592 63,929 41,150 50,000 76,911 76,608 120,755 45,199 329,934 153,471 347,570 229,824 202,031 27,642
$ $ $ $ $ $ $ $ $ $ $ $ $ $
54,660 29,924 19,261 15,074 36,000 37,524 56,522 22,139 154,434 75,173 162,688 112,572 202,031 8,333
$ $ $ $ $ $ $ $ $ $ $ $ $ $
130.28 130.29 130.29 94.65 130.29 130.28 130.29 130.28 130.29 130.28 130.29 130.28 94.65
$ $ $ $ $ $ $ $ $ $ $ $ $ $
56,932 34,006 21,889 34,926 40,911 39,084 64,233 23,060 175,501 78,298 184,882 117,252 19,309
East IPU Screen Wall Remove West IPU Screen Wall Remove Screen Walls at Support Building
GLAZING: Sull Sash Removal at Upper Courtyard Sull Sash Removal at Day Hospital Above Ambulance Bay Sull Sash Removal at Sullivan Day Hospital Support Building Spandrel to Metal Panel Sull Sash Removal at Group Rooms
Sull Sash Removal at Day Rooms Sull Sash Removal at Porches Sull Sash Removal at Main Courtyard Curtain Wall
Spandrel at Top of Gym
437 261 168 369 314 300 493 177 1347 601 1419 900 1491 204
IR 1 Side, Sull Sash 1 Side Sull Sash 1 Side Sull Sash 1 Side CW Spandrel Sull Sash 1 Side IR 1 Side, Sull Sash 1 Side Sull Sash 1 Side IR 1 Side, Sull Sash 1 Side Sull Sash 1 Side IR 1 Side, Sull Sash 1 Side Sull Sash 1 Side IR 1 Side, Sull Sash 1 Side CW Spandrel CW Spandrel
$ $ $ $ $ $ $ $ $ $ $ $ $ $
255.36 244.94 244.94 135.50 244.94 255.36 244.94 255.36 244.94 255.36 244.94 255.36 135.50 135.50
*Factors in Height Specified Below *Factors in Height Specified Below *Subtracted from Row 7 Area Above *Model did not Reflect Design Intent in this Area
*Cooling Tower Screen Walls are Separate Above
*Includes Main Courtyard Day Rooms *Includes Main Courtyard Day Rooms *Includes Adolescent Courtyard Day Rooms *Includes Adolescent Courtyard Day Rooms
Fig. 3 A V.E. list was generated with opportunities to save while preserving the building’s design intent. This document was a direct form of communication from the design team to the contractor and helped us express the V.E. ideas we had discovered.
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Fig. 4 Callouts are easily built upon the filtered Revit views. In this case, we wanted to take our V.E. options past spreadsheet form so that everyone viewing the spreadsheet could understand where on the building this opportunity has been found.
12
13
NEW $14,797
VESTIBULELOBBY 134 SF 68 SF
1 LOW
LOW $26,756
2 MEDIUM 3 HIGH 4 ALTERNATE
EXERCISE ASSESSMENT 1151 SF
9 NOT COUNTED
STAFF 118 SF
STAFF 139 SF
STAFF 171 SF
MED $24,775
NEW $397,193
TEACHING/ EXERCISE 848 SF NEW $292,408
MED $24,775
MED $29,211
MED $35,826
STAFF 155 SF
STAFF CORRIDOR 193 SF 396 SF MED
MED $32,532
MED $83,154
ADMIN 188 SF
$40,509
STAFF 143 SF
MED $39,510
MED $30,009
EXISTING STAIR 6 200 SF UP LOW
GRAD AREA 146 SF MED $30,746
$40,089
CLASSROOM 788 SF
OPEN BELOW 637 SF
NEW $271,920
NOT COUNTED $0
PUBLIC STAIR 97 SF
269 SF NEW $92,837
NEW $55,241
SHOWER/ TOILET CHANGE WORK/ 63 SF 43 SF COPY NEW NEW 102 SF $21,735 $14,663 DEXA NEW SHOWER/ 132 SF $35,123 NEW TOILET $45,461 63 SF
CORRIDOR SF WAITING 925 NEW 104 SF $319,017 RESEARCH NEW ASSISTANT CLOSET BREAK 56 SF 242 SF $35,880 OFFICE NEW NEW CENTRAL 429 SF $19,346 $83,573 STORAGE NEW $147,955 170 SF NEW STORAGE $58,765 47 SF STORAGE AT OFFICENEW AT OFFICE EXERCISE 130 SF $16,215 124 SF 163 SF RESEARCH NEW NEW NEW $44,850 $42,608 $56,062 LAB PT 798 SF OFFICE DEXA BOD POD NEW $275,195 130 SF 163 SF 124 SF NEW
CORRIDOR $56,063 484 SF
NEW $44,850
PROC. 144 SF NEW $49,508
NEW $49,508
NEW $33,637
NEW $42,608
$44,851
$45,012
CONTROL 150 SF LOW $29,974
CORRIDOR 536 SF NEW $184,797
NEW $33,054
TEACHING WEIGHT ROOM 734 SF
$34,500
$34,500
LACTATION 67 SF
FAMILY TOILET 41 SF
MED $14,011
CORRIDOR 1488 SF
RF SHIELD 300 SF NEW $103,500
METABOLIC WORKAREA 154 SF
METABOLIC AREA SPORTS 260 SF CLUB NEW 121 SF
NEW $53,073
$89,585
HIGH $31,417
110 SF LOW $22,083
DN
GARBAGE/ RECYCLING SF RECEIVING/ 200 HIGH LOADING $52,000 600 SF
OPEN TO BELOW
HIGH $156,000
COURT VIEWING AREA 1220 SF
BUILDING STORAGE/HOLDING 800 SF HIGH $208,000
OPEN OFFICE 221 SF
INTRAMURAL 121 SF HIGH $31,417
HIGH $57,547
INTRAMURAL 121 SF
PRINTER 52 SF
OPEN OFFICE/ RECEPT 796 SF
OPEN TO BELOW
MEETING SPACE 800 SF
HIGH $225,084
MED $3,610
STAFF 170 SF
STAFF 150 SF
STAFF 155 SF MED $32,532
STAFF 158 SF MED $33,234
MED $35,729
ADMIN 235 SF
$35,052
MEN'S 430 SF HIGH $111,774
LOW $17,842
FAMILY TOILET 34 SF
$69,333
NEW STAIR 3 163 SF
HIGH $8,765
LOW $32,621
ELE 2 88 SF
MULTIPURPOSE STORAGE 218 SF
DN
LOW $17,552
MED $45,803
MULTIPURPOSE ROOM 1830 SF
STORAGE 35 SF
LOW $366,016
GYMNASIUM STORAGE 113 SF
WOMEN'S 188 SF LOW $37,506
LOW $22,521
MEN'S 194 SF
EXISTING STAIR 5 347 SF DN LOW UP
OPEN TO BELOW
HIGH $208,000
GYMNASIUM STORAGE 113 SF LOW $22,521
GYMNASIUM STORAGE 113 SF
UP
GYMNASIUM STORAGE 269 SF MED $56,553
LOW $22,617
48'-0"
$40,089
OPEN TO BELOW
HIGH $31,417
HIGH $13,520
LOW $6,961
EXISTING RECEPTION STAIR 7 200 SF COLLAB 167 SF 17 SF MED LOW
OPEN TO BELOW
LOW $244,031
MED $167,160
FUNCTIONAL FITNESS MEZZ 866 SF
LOW $1,225,530
HIGH $10,530
HIGH $31,417
SPORTS OPEN TO BELOW CLUB 121 SF STAIRS
CORRIDOR 6128 SF
HIGH $96,716
ELE 1 89 SF
LOW $297,592
NEW $70,885
NEW $99,067
NEW $48,300
CONSULT 98 SF
OPEN TO BELOW
UP
FOOD PREP 205 SF
PROC. PROC. 144 SF 140 SF
WOMEN'S 372 SF LOW $311,100
LOW $52,650
LOW $28,182
DN BIOCHEM LAB 287 SF
NEW $21,735
TOILET/CHANGE NEW 45 SF NEW $253,288 WAITING NEW $166,829 92 SF $15,525 ASSOC. DIR. CORRIDOR DIR. OFFICE ASSOC. DIR. NEW 158 SF 120 SF 962 SF 175 SF 120 SF $31,605 NEW NEW NEW NEW NEW COPY $54,567 $331,907 $60,375 $41,400 $41,400 85 SF NEW OFFICE TRAINING / $29,174 116 SF REHAB FACILITY NEW 1001 SF MANAGER $39,876 CONFERENCE NEW 144 SF OFFICE 324 SF $345,402 NEW NEW 116 SF $49,680 $111,627 NEW FACILITY $39,876 CONSULT CONSULT OFFICE STOR MANAGER TEL 100 SF 100 SF 130 SF 130 SF 144 SF 96 SF NEW NEW NEW NEW NEW $49,680
UP
LOW $19,365
NEW $23,452
NEW $32,864
NEW $32,676
RECEPTION 160 SF
UP
LOBBY 1555 SF
NEW $41,245
NEW $41,328
FILE CONSULT CONSULT 95 SF 43 SF 95 SF CONFERENCE
0 NEW
STAFF 118 SF
NEW $71,746
$50,255
NEW $49,924
Renovation Legend
EXISTING STAIR 4 263 SF
STAFF NEW OFFICE FACULTY FACULTY STAIR 2 208 SF 120 SF 141 SF 120 SF
FACULTY/ FACULTY FACULTY 132 SF 146 SF GA NEW NEW 145 SF $45,626
LOW $38,727
MED $31,575
CORRIDOR STAFF SF 396 SF 151 MED MED $83,257
MED $49,382
$31,698
STAFF 145 SF MED $30,404
COLLAB 25 SF
COMP LAB 298 SF MED $62,581
OPEN TO BELOW
LAB STORAGE 27 SF
POOL 14168 SF
NEW $9,487
ALT $2,479,436
MED $5,146
GYMNASIUM 14570 SF LOW $2,913,996
SPECTATOR SEATING 2179 SF
GYMNASIUM 11286 SF
LOW $435,779
ALT $1,975,006
DN
GYM ADDITION 836 SF
DN EXISTING STAIR 1 381 SF LOW UP $76,267
NEW $288,540
Fig. 5
SCALE = 1/16" = 1'-0"
14
N
Revit’s Shared Parameters opens a whole world ofWELLNESS interoperability betweenIMPROVEMENTS STUDENT SERVICES families and system elements. This tool arose from the need to identify rooms and departments with higher construction needs. The only user LEVEL 02 inputs needed are key values of renovation types and costs. Such versatility also comes with a number of frustrations limited by Revit’s API; namely, shared parameters cannot be used to define a key schedule. The final calculation – done in Revit to maintain live updating – required a lengthy, nested conditional statement to allow for tagging and scheduling.
Let renovation type RTi be an integer. HC is the HVAC cost per square foot. Counting indices i will be equal to key values of the Renovation Type {new, low, medium, high, alternate, not counted} and correspond with renovation cost per-square-foot RCi. Then: (quantities shown not accurate to project) Pseudocode: Room Cost = Area * ( if( RTi , RCi ) + HC )
15
When Dynamo’s computational power becomes more accessible to users, it allows communication between multiple data platforms as well as the automation of error-prone tasks.
Revit-Excel Data Flow 16
In this project, the digital practice team worked with subjectmatter experts within the firm to create a series of Dynamo scripts with customized UI importing Equipment/Room schedules from planners directly to the Revit model.
REVIT MODEL
BI-DIRECTIONAL LINK
EXCEL DATABASE
MANUAL REVISION
CONTAINS “LIVE” DATA TABLE
UN-LINKED EXPORT
INTERNAL REVIEW
CLIENT-FACING PRESENTATION
ALLOWS SHARING/ EDIT HISTORY-TRACKING
The complex nature of large institutional facilities require rigorous management of large amount of different forms of data, such as rooms, equipment, hardware, etc. These information are created via Excel and developed through client demands and subjectmatter experts recommendation. The process of transferring these data from Excel into Revit is a time-consuming and error-prone task, where designers place each Revit family instance and enter its numerous parameter values manually. The disconnection between the two platform furthers the complexity of this task by essentially creating two separate databases of the same information. This work flow connects Revit and Excel data through Dynamo, allowing a bi-directional data flow between the two platform, as well as automates the generation of informationembedded Revit family instances.
17
Figure 2 Custom interfaces provide non-Dynamo users access to these scripts through Dynamo Player. The UI includes instructions to guide users through the work flow and clearly-defined inputs required to operate. ( UI created via opensourced package by Data Shapes)
18
Figure 3 Generated instances retain Excel information as shared parameter values and dimensions. Each instance is assigned an Unique ID, allowing reading and writing information from Revit to Excel. The output is sorted and categorized based on user-chosen parameters (columns in Excel). Image above sorted in Category, Sub-Category, & SortingOrder ( i.e. Department, Room Number, Equipment Unique ID)
19
Advisory Services Massing Visualization 20
This collaboration with CannonDesign’s healthcare advisory service explores live interactive visualization of hospital program planning and optimization. Prototype above shows 3D visualization via Grasshopper & Rhino of optimized program massing via Excel. The demonstration creates parametric & manuverable 3D representation to be incorporated as a planning tool during client meetings.
Figure 1 Departmental area calculator based on healthcare provider schedule. Developed by Steve Stafford
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Simulation
Solar Optimization 24
Ladybug and Honeybee for Grasshopper have a distinct advantage over other climate analysis softwares because their platform has the power of parametricism. Additionally, the analyses can be paired with optimizational solvers to find opportunities for the design of the building. This type of software can provide a back and forth conversation about design ideas and their performance.
Figure 1 A shoe-box model is set up where grasshopper can flex the dimensions of the building. Meanwhile, an evolutionary solver is judging the geometry in terms of solar insolation.
25
Figure 2
26
There is an ongoing effort to simplify our scripts and make them more accessible by building a user interface. After the user gives some inputs, the script returns graphics and charts about how the building is performing in different categories.
Figure 3 With some post-processing effort, these types of studies can be diagramed in ways that start to drive design decisions about where glazing is more appropriate or where on the floor plate a program should be oriented.
27
Figure 4
28
In this project, a solar analysis of all the expansive curtain wall that had potential for high solar gain directly influenced the frit layouts on the elevations. Using three frit opacities, the elevations took on a unique gradient of fritting that directly relates back to the site’s specific conditions.
Figure 5 The courtyard is designed with expansive south-facing glazing. We knew we would have a problem with solar heat gain, so we made a script that could start to imagine how a panelized solar shading system could mitigate this challenge.
Figure 6 The analysis graphics were overlaid on the construction documents to form a diagram for executing the modeling of the three frit types in the BIM model.
29
Figure 7 These buildings are an early massing study that the designers needed to understand the potential for rooftop PV panels. The worry was that a large hill to the South would shade some of the rooves too much for PV to be feasible. This annual study shows that the complex does in fact get a lot of solar radiation throughout the year.
Figure 8
30
Breaking down the time frames into a study of the solstices, it was found that in the winter, the hill would in fact start shading portions of the southern rooves. This allowed the designers to understand that the full PV potential in these areas cannot be assumed.
Figure 9 This is our entry for the ASHRAE Lowdown Showdown. To maximize the daylighting in the museum gallery space, transluscent skylights were optimized for size and location to provide the most even annual light levels. Iterations were studied with Design Explorer.
Figure 10 The optimal result yielded 80.21% useful daylighting which massively cuts down on energy used for lighting the space. With some manual tweeking, the useful daylighting reached almost 84% during the museum’s open hours.
31
DNA Sequence Ceiling Pattern 32
The Towson University New Science Facility team generated a ceiling pattern inspired by the pattern of DNA sequence Using the following panel types: [Perforated], [Full], & [Light-fixture] As the facility contains multiple departments, the word “Physics� is translated into binary and encoded into the sequence of panels.
Figure 1 (left) The main soffit material is wood slats. Figure 2 (right) This graphic maps out where the lighting should be located.
33
Three-Dimensional Sun Study 34
Ladybug for Grasshopper can be used for rapid climate analysis. Instead of looking up the solar angle in the project’s city, Ladybug links the corresponding weather file so that climate visualizations can be parametric. A shadow study can be done in minutes and not only in section or elevation, but threedimensional views.
Fig. 1 By testing our assumed sunshade spacing, we found that we had overestimated the number of horizontal sunshades that would adequately shade the space in the summer. This saves money and allows more deep light into the space during the winter.
35
Circulation Simulation 36
The Digital Practice team simulated student traffic through defined agents. Using data obtained from occupancy analysis (see next page), simulated students moves through the building to their destination using the shortest path. The team is able to evaluate circulation space decisions based on the compiled traffic heat map.
Figure 1 CannonDesign was hired to create the design for the expansion and renovation of the Virginia Tech War Memorial Hall. The team is tasked to evolve the large facility into a multipurpose student wellness center and to fit the four major departments that will reside the building, including: Recreational Sport, Education, Health & Wellness, and Counseling.
One major goal of the design team is to create prominent circulation spaces that alleviate the traffic created by all four departments. Special attention is also given to access to the historical portion of the building on the West.
37
Figure 2 During the feasibility study phase of the project, the team obtained class/ practice schedule and daily usage data from each department residing in the building. Compiling these information, I created an interactive Excel interface displaying occupant VS capacity information in all program spaces at a given date & time.
38
Figure 3 Circulation traffic is estimated based on occupancy data achieved previously. The three main entries of the building are weighted to reflect current student traffic pattern. This tool helps identify high-traffic zones and the impact of different options of circulation and access.
39
Visualization
Complex geometry like trees and vehicles slow down models tremendously to the point that a model can become unworkable. By using Vray proxies that are populated using grasshopper, convincing vegetation can be rendered while not increasing file size like the full geometry would. This also cuts down on post-production time in Photoshop.
Entourage Generator 42
Figure 1 This rendering tested 1000 tree proxies that were randomly placed within an area by grasshopper. This would normally be impossible to work with due to the amount of geometry in the tree models.
Figure 2 A grasshopper script created an intersecting pattern of vertical surfaces along the site mesh so that an image of grass could be mapped and rendered. This significantly cut down post-processing time and gave the site a perceptible depth.
43
Rhino does not natively have a section box command like Revit does, and plugins that offered section box would not render correctly. This seemed like a shortcoming of the software, so we wrote a simple Grasshopper script to run a series of Boolean operations on a given building model to extract a section box view using any given solid. This tool became useful for diagramming and better understanding the sectional conditions around the exterior envelope.
Parametric Section Box 44
Figure 1 These section boxes were generated rather quickly to explain where we thought all of our different wall section conditions would occur. From here we started to find similarities and differences where we could possibly share details or required new ones.
45
Sheppard Pratt Behavioral Health Hospital regards the patient experience as paramount to their model of care. To allow them a first-hand experience of the patient rooms, we set up a web portal where the client can share a series of virtual reality renderings of the space across personal devices. Each 360 view showed design developments including wall finishes, lighting fixtures, and furniture layouts: very important considerations to this demographic of patient. Going a step further, we started bringing a virtual reality headset to meetings and walking the client through the whole building from public spaces to back of house. Through these types of immersive experiences, the client commented “This is the first time I’ve truly understood the building.”
Virtual Reality 46
Figure 1 Our client was able to explore the current model and get a deeper understanding of the building while both generating and answering questions.
47
A CannonDesign team of digital practice leaders came together to create this conceptual interactive light sculpture in the Baltimore Harbor. The structure is a series of bent pipes that are draped with projection fabric. The video projections are interactive and can track participants’ movement through the installation to affect the graphics being displayed. The content of the graphics are coordinated with the National Aquarium to simulate species of sea creatures that are endangered to raise awareness on the subject through a fun and interactive experience.
2018 Light City Proposal | Harbor Bubble 48
Figure 1 Using a Leap Motion sensor, we created an interactive “sea creature� geometry with computational physics that made it feel underwater.
49