Portfolio Grad

42
PORTFOLIO HABIB MADDAHI

description

 

Transcript of Portfolio Grad

  • PORTFOLIOHABIB MADDAHI

  • 1A RC H I T E C T U R E / 2-27

    G I S / DATA V I SUA L I Z AT I O N / D I G I TA L FA B R I C AT I O N / 28 -40

    MODULAR HOUSING (THESIS)

    ASCENDIGN APARTMENTS (HOUSING AND AGGREGATION)

    RASHT APARTMENTS (ARCHITECTURAL DESIGN 5)

    SWIMMING POOL ( TECHNICAL DESIGN )

    SNELL LIBRARY MAPPING

    IMPLEMENTATION AND VISUALIZATION FOR URBAN ENVIRONMENT

    NEW YORK ENERGY CONSUMPTION (BIG DATA)

    CASE STUDY ( D3 )

    TRACKING MYSELF

    PERFORMATIVE SURFACES

    TABLE OF CONTENT

    Selected projects sorted chronically

  • Course name: Graduate research studio Modular housing studio

    Goal: Understanding modular housing industry

    Date: Fall 2015Instructor: Ivan RupnikLocation: USA

    Software used: Tableau, ArcGIS, Python, Illustrator

    Short description of project: Architects have been allured by prefabricated construction for over aCentury. Since the formulation of the HUD code in 1976, manufactured and modular housing have developed in tandem, both evolving in different ways. While most manufactured housing is restricted

    M.Arch. Northeastern University 2015

    Joe Cleghorn Homes, Ab-Tech By Monroe Inc, M Lang Services LLC, RSD Construction, Sweetwater Homes, Keys Contracting Services Inc, Wind Zone Homes, ST Sparks Construction Inc, B C Enterprises Inc, Bayview Homes LLC, Island Builders, Nu Concept Homes, Nu Concept Homes-Key Largo, Florida Building Inspections, Modular Contractors Inc, Modular Space Corporation, Modular Contractors Inc, Cabin Fever LLC, Air-Source International Corporation, Williams Scotsman Inc., Stephen Baker Turner, Top Value Homes Inc, Kendall Products, Clayton Homes, Palm Harbor Homes - Donna, Rimkus Consulting Group, Midway Homes LLC, Southeast Texas Industries, Midway Homes LLC, Alamo System Industries, Digitec Industrial Supply, Assist-2-Sell, Advanced Modular Structures, Modular Homes of Florida, Modular Space Corporation, Frame Homes, Quality Homes, Amazon Sheds & Gazebos Inc, Superior Insulated Systems, Inc., T-Square Construction Services, KHS & S Contractors Inc, FabriTec Structures, LeeCorp Homes, Italian Tile Wholesalers, Modular Space Corporation, Williams Scotsman Inc., KHS & S Contractors Inc, A Solar Solutions, HL Posey Builders, E.D.S Air Conditioning, Walker Construction, Aordable Accessibility, Interior Textures-Palm Beaches, Mesocore LLC, Prestige Home Centers Punta Gorda Florida, Leecorp Homes Inc, Royal Concrete Concepts Inc, Silver Coastal Development, LLC., Snap-On Tools, Sanmina-Sci Corporation, Modular Space Corporation, Chaparral Portable & Modular, Bay Asphalt, Oak Creek Homes, Palm Harbor Village - Corpus Christi, Gulf Gate, J V Industrial Co, Shaw Global Energy Services Inc, Bay Ltd.-A BERRY Company, Berry Contracting, Bp Building Sales Llc, River Grove Enterprises, Burlingham & Associates Inc, Hill York Air Conditioning and Energy Solutions Central Florida, EE&G, Ronnie's Manufactured Homes, Innity Bol, LLC, American Ingenuity Dome Homes, Iap World Services Inc, Williams Scotsman Inc., Modular Space Corporation, Knight's Manufacturing Co, Nvision Development Management Services, We Buy House Orlando. Sell House Orlando. Homebuyer LLC, Palm Harbor Homes - Victoria, Texas, Clayton Homes, First Class Homes, Original Log Cabin Homes Ltd, Baird Homes, Crystal River Village, Southern Structures Inc, PRESTIGE HOME CENTER - SOUTH OCALA, Nobility Homes Inc, Skyline Homes Inc, Classic Oaks Village, Palm Harbor Village - South San Antonio, Palm Harbor Homes, TRU Factory Direct Housing, All Steel Building By Morgan Buildings, Manufactured Housing Consultants, 181 South Homes, Texas Statewide Mobile Homes Transport & Sales, Modular Space Corporation, Clayton Homes, Palm Harbor Homes, Homes of Boerne, Oakwood Homes, J B Woolf Sheds, Prime Seamless Gutters And Roong LLC, Traditional Craftsmen Homes, Palm Harbor Homes - Austin Hwy, Clayton Homes, Mueller Inc, C & G Homes of Chieand, Modular Buildings, KB Home, American Homestar Corporation, Oak Creek Homes, Chaparral Portable & Modular, Oak Creek Homes, Blake International Rigs, LLC, Shaw Coastal Inc, Factory Expo Home Centers, Park Models Direct, Cavco Industries, Elite Homes of Louisiana, Palm Harbor Homes - Seguin, Texas, Clayton Homes, Clayton Homes, Wilson Mobile Home Sales Inc, Aordable Homes of Louisiana, Clayton Homes, Lake's Housing Center Inc, Sheeld Housing Super Center, Grey's Housing, Berry Contracting LP, Texas Built Homes, Kidder Inc, Fayette Country Homes, Silver Coastal Development, Manufactured Housing Consultants, Clayton Homes, Cavco Home Center, Sprung Instant Structures, Oak Creek Homes, Newman's Homes, Clayton Homes, Metro National, Clayton Homes, Texas Repos, Modular Space Corporation, Boerne Mobile Homes Sales & Transport Services, Dal-Bar Construction Services, Custom Build 4 Less, Green Steel Homes, Satellite Shelters Inc, Waterway Homes, Village Homes San Marcos, Oak Creek Homes, Shaw Global Energy Services Inc, Prestige Better Built Homes, Ameri-Tech Industries LLC, Terry Tedesco Modular Homes, Heston LLC, Geohouse, Trinity Industrial Services Llc, Beauregard Homes LLC, Highland Homes, Ameri-Tech Industries, LLC, Anthony Savarino Crane, B B & K Setters, Heston LLC, Gulf Coast Building Specialty, Oak Creek Homes, Nortex Modular Space, Home One Homes Inc, New Orleans Modular Homes, New Orleans Modular Homes, Custom Modular Homes, Louisiana Modular LLC, Fluid Crane & Construction Inc, Modular Space Corporation, Bay Limited, Eastern Shipbuilding Group, Inc., Modular Space Corporation, Clayton Homes, Gulf Coast Homes Inc., Clayton Homes, Palm Harbor Homes - Tomball, Texas, LUV Homes, Williams Scotsman Inc., Clayton Homes, Texas Casual Cottages by Trendmaker, Coventry Homes - Waterstone Estates, Oak Creek Home Center, The Home Source, Signature Manufactured Homes, Signature Homes, Hill Co LLC, Trilogy Production Equipment, Clayton Homes, Douglas Custom Homes Inc, TownHomes, LLC, Stellar Energy, Modular Space Corporation, DCR Industrial Services Inc, America's Best Homes, Clayton Homes, Sunrise Homes, Woodrun Subdivision, Spectrum Installations, Dynamic Industries Coatings, Palm Harbor Homes Austin - Hwy 183 S, Palm Harbor Village - Conroe, Texas, Reclaimed Space, LLC, Meritage Homes - Aviara, Vanguard Modular Building Systems, LLC, Greg Tilley's Manufactured Housing, Modular Space Corporation, WCI Group, Clayton Homes, Vanguard Modular Building Systems, LLC, Clayton Homes, Crane Builders LLC, Clayton Homes, Accurate Container Services Inc, Hayes Modular Group Inc, Portside, Structall Building Systems, Rollin Homes, American Homes Inc, Palm Harbor Homes - Lafayette, Williams Scotsman, Assign Commercial Group, LLC, Elgin-Butler Brick Co, Shaw Constructors Inc, Jim Tatmans Mobile Homes Inc, Clayton Homes, Movable Homes By Mike, Oakwood Homes, O'Neil Construction Co, E Kelly Enterprises, England Enterprises, 360 Mobile Oce, Atchafalaya Homes - "The Proof is on the Roof", Nortex Modular Space, Palm Harbor Village, GroundFORCE Building Systems, Smart Cash Homes, Inhouse Mobile Home Services & Construction., Connect Homes Texas, Modern Builders, Inc., Shaw SSS Fabricators Inc, David Weekley Homes, Quality Building Systems Inc, Schumacher Homes of Louisiana - Baton Rouge, Thompson-Briggs Developers, Williams Scotsman Inc., STI GROUP, Williams Scotsman Inc., Pac-Van, Inc. - Jacksonville Oce, Cashio Industries, L.L.C., Freedom Homes, Clayton Homes, Voclain Services LLC, Oak Creek Homes, Pontchartrain Home Center, Homes Across America, Inc., Wayne Frier Home Center Inc, Blessing Home Sales, Hodges Enterprises LLC, Gator Tough Sheds, Carter Crane Rental, Barnhart Crane & Rigging Co, Austin Roong Contractors, Trammell Construction Company, Inc, Thomas Home Corporation, Quality Systems Installation, Benchmark Homes Inc, Arbon Equipment Corporation, THG Construction Services, Cassida Construction, Huntsville Reliable Homes, Creative Country Homes, Oak Ridge Ranch Development, Innerspaice Architectural Interiors, Clayton Homes, Oak Creek Homes, Luv Homes Inc, Oak Creek Homes, Clayton Homes, Palm Harbor Village - Bryan, Texas, Sils Home Center, Housing Solutions & Development LLC, Harbor Homes LLC, Brock Construction & Realty, Vanguard Modular Building Systems, Anity Buildings Systems, Harold Allen's Factory Outlet, A Plus Mobile Home Sales, Clayton Homes, Palm Harbor Homes - Killeen, Texas, Halls Manufactured Homes, Aries Building Systems, Scot Bilt Homes Inc, Destiny Industries LLC, Karnes Landscape, First String Space, Crockett Mobile Home, Beverly Hill Homes, Oak Creek Homes, Clayton Homes, Campbells Portable Buildings, Kirklands, Molex Inc, Foster Wheeler Corporation, Design Space Inc, D & D Mobile Home Sales, Pum-Crete Skirting LLC, Britco USA,

    GRADUATE RESEARCH STUDIO

    MODULAR HOUSING

    to single family housing, modular, which is more flexible in nature has the potential to provide multi-unit housing for densifying populations.

  • 3MODULAR VS. MANUFACTURED

    upto90ft

    60to72ft

    upto1

    8ft

    12to1

    5ft

    (20ft

    double

    -wide

    )

    upto

    11ft

    12ft

    A typical manufactured housing module is:- Policy driven

    - Regulated by Federal building code (HUD)- Fixed to its transportation chassis

    A typical modular housing module is:- Market driven

    - Regulated by local building code- Removed from its chassis then aggregated

    ARCHITECTURE/ RESEARCH

  • MODULAR HOUSING

    GENERATING LATITUDE & LONGITUDE IN ARCGIS FOR GOOGLE MAPS API

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    eter

    X

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    r = 50,000 m 2X2 = r2

    X = 35355.3 m Y = 70710.6 m

    Google maps API provides a service to query place information on a variety of categories. To acquire data from Google maps API, some mandatory information is required. Additionally several optional inputs can refine returned data. In this project NearSearch has been selected to carry out

    the job. Our goal was to find the name and location of the modular home companies and factories. Google maps needs Location, building type and keywords as the input to return the data. Location values in google api determines the center of a circle with a maximum radius of 50,000 meters.

    Establishments and modular+home were used as building type and keywords respectively. Due to the limitation of search distance radii, In Arcmap, the USA map has been segmented to 2,242 squares. The latitude and longitude of the center point of each square was then calculated. These numbers were

  • 5ARCHITECTURE/ RESEARCH

    MODULAR & MANUFACTURED HOME VENDORS BASED ON GOOGLE MAPS API

    then inserted into a python script which created request codes to send to google maps api. The results of each request has been saved into a single cell of excel spreadsheet for further processing. One of the challenge was parsing the useful data within returned data which were in JSON format.

    12,886 data points were obtained. After filtering for duplicates 4,599 data points were remaining. In further refinement and filtering non-related types of buildings, 3,208 data points were remaining to represent modular industry vendors throughout the U.S.

    ModularManufactured

  • NORTHEAST MODULAR PRODUCTION FACILITIES

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    -1001311 12

    NORTHEAST

    SITE-BUILT

    MANUFACTU

    RED

    MODULAR

    Boston,MA

    100mi.

    1

    8

    12

    26

    30

    34

    200mi.

    300mi.400mi.500mi.600mi.

    Pop.4,684,299

    There are approximately 34 modular housing production facilities in the northeastern United States. Twenty of these facilities reside in Pennsylvania, which accounts for almost 60% of the total. Notably, there are no facilities located in Massachusetts, and prefab modular units tend to be imported from surrounding states.

    Currently there is only one modular facility within 100 miles of Boston, Epoch Homes in Pembroke, NH. This is indicative of the vehicular miles, costs, and time required to prefabricate and ship modules to the city and the surrounding metropolitan area.

    MODULAR HOUSING

  • 7TEXAS MODULAR PRODUCTION FACILITIES

    Manufacturer Highway

    MODULARNETWORKSKEY

    MetroArea

    Dallas

    Austin

    Houston50mi.

    FortWorth

    SanAntonio

    Pop.6,371,667

    Pop.4,117,054

    Pop.6,817,483

    1311 12

    50%

    0

    -50

    SOUTH

    In comparison to the northeast, Texas has approximately 15 modular housing production facilities, which all fall within or immediately adjacent to major metropolitan areas. Considering the dense and continuously expanding population of larger cities in the state of Texas, modular construction as well as manufactured housing, are an efficient and affordable means of supplying the housing demand.

    ARCHITECTURE/ RESEARCH

  • PE

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    NORTHEAST PRODUCTION FACILITIES - AERIAL COMPARISON

    MODULAR HOUSING

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    There are approximately 34 modular housing production facilities in the northeast. These aerial photographs show the facilities within their immediate surrounding context. All of these images are captured at the same scale, in order to provide insight into the varied size and footprint these facilities occupy.

    The vast majority of these facilities utilitize the Butler building to house their operations, which is practical considering the flexibility this typology can provide for floor space. Most of these facilities are located on larger roadways, for a more efficient and timely distribution. The majority of these companies are located in more rural areas.

    Of these 34 factories, 20 are located in Pennsylvania alone, with five times more facilities than any other state. There are many factors that may contribute to this anomaly, arguably the most significant being a centralized location for maximum distribution potential across the United States. There are no factories located in Massachusetts, and the closest known facility to Boston is Epoch Homes, which is approximately 75 miles away, in Pembroke, NH.

    ARCHITECTURE/ RESEARCH

    IMAGES CAPTURED AUTOMATICALLY VIA CODING & GOOGLE MAP API

  • MODULAR HOUSING

    COMPARING THE DATASETS / DISTRIBUTION OF DATA BY STATES

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    Meas ure Names% of T otal C ount Google Map

    % of T otal C ount NAHB

    % of T otal C ount Top Modular

    After retrieving data from NAHB and the modular home owners website to turn them into an excel data set, and also geocoding the addresses via google geocoding api, we compared these three datasets. Almost all of the datapoints introduced by NAHB and modular home owners were within googles datapoints, NAHB had 34 points and modular home owners had 217 points in common with the Google dataset. According to the map above and the graph on the next page we can recognize three regions in U.S. that have the most number of vendors in the modular home industry. In conclusion, the highest density of vendors are in Texas, California, Pennsylvania, New York, Virginia and the Carolinas.

    This graph shows the distribution of vendors by each state. The graph at top of the page is from google maps and below it is the graph based on the NAHB and modular home owners website. Data from NAHB and modular home owners are accurate. There is a similar trend between the two graphs, therefore demonstrating that the google maps data is reliable.

  • 11

    AGE OF BUILT FABRIC/ PREFAB FACILITIES

    HOUSING UNITS GROWTH % 2009-2014/ PREFAB FACILITIES

    2014 HOUSEHOLD INCOME (MEDIAN)/ PREFAB FACILITIES

    ARCHITECTURE/ RESEARCH

    The age of built fabric maps of Northeast and Texas show that median age of buildings in Northeast are mostly before 1980 and for Texas mostly after 1980. Manufactured housing industry (HUD) started from 1976 and modular industry should have started around the same date. There are 34 prefab facilities In Northeast and 15 in Texas. There is no clear correlation between the age of the fabric and number of facilities and number of prefab building in these regions.

    The housing units growth map in Northeast shows that there isnt a direct relation between housing units growth and distribution of prefab facilities. For instance in radius distance of 200 mile from Boston which is the efficient distance to ship the product there are only 8 facilities. However in Texas all the facilities are reside in the highest growth rate areas.

    The Household income map shows that necessarily facilities are not located in the high income areas however all of them are within the 200 mile radius of high income areas. Interestingly in Texas which is the most dense area of prefab vendors, also in Dallas has the most dense area of prefab facilities. Seven facilities reside inside the high density area of the city surrounded by low density donut-shaped area where people has the highest income.

    NORTHEAST TEXAS

  • Course name: Urban housing and aggregation

    Goal: Reconciling urban design goals and the metrics that frame housing design

    Date: Fall 2012Instructor: Tim LoveSite: Roxbury, Boston

    Short description of project: Designated parcel for this project is located on Dudly square, Boston, MA, where it sit on side of the Dudley Municipal Building. The surrounding area of the site is under new development to respond to a much-needed new socioeconomic diversity and street level activity of area.

    URBAN HOUSING & AGGREGATION

    M.Arch. Northeastern University 2012

    ASCENDING APARTMENTS

    Working on this project started with researching on three categories: 1) the local real estate market. 2) building and accessibility codes 3) the urban design context for the project site.

  • 13

    Worked with Mattew Stoner in a group for Urban analysis. We designed our buildings individually but in a same lot. We had our prototypes from previous exercise then tried to respond to urban factors and find the best fit of our buildings sitting alongside each other in the given site.Also we considered a dialogue between two buildings by designing a straight channel of space between them.

    URBAN ANALYSIS

    ARCHITECTURE

  • ASCENDING APARTMENT

    ITERATION OF THE FORM BASED ON CODE REQUIREMENTS & SITE FACTORS

    The main challenge is to help to create a vibrant neighborhood where the design is not only responding to socioeconomic condition of the site but also provides unique spatial experiences.

    Started with the maximum allowed build area and five floors height, the most efficient number of floor according to requirements that building code imposes.

    To respond to new socio-economic development of the neighborhood and enhancing its street level activities, first floor of the building designed to be commercial spaces to serve people.

    Mass adjusted according to the width of the units. It created a courtyard where can create a private park experience for residents.

    DYNAMIC CIRCULATION

  • 15

    Height of the building been adjusted to the adjacent building.

    Height of the building on the South has been adjusted to the low-rise residential on south side of the site.

    To connect the inner courtyard to the city, three opening has been designed into the building. Also entrance of the garage established on the south side of the building

    AERIAL VIEW

    ARCHITECTURE

    Low-riseResidential

  • ground floor first floor second floor

    Section a-a

    ASCENDING APARTMENT

    Duplex Units

    Duplex Units

    Single Units

  • 17

    third floor forthfloor fifth floor

    Section b-b

    ARCHITECTURE

    Duplex Units

    Single Units

  • Units

    ASCENDING APARTMENT

  • 19

    ARCHITECTURE

  • Course name: Architectural design 5 ( housing)

    Goal: Reconciling urban design goals and the metrics that frame housing design

    Date: Fall 2011Instructor: Mehrdad JavaherianSite: Shahid Ansari, Rasht

    Short description of project: Aim of this project was to gain essential knowledge and skill to design residential complex in large and small scale while considering climate, environment, sociocultural an economic condition of the site.

    Design process stated with conceptual massing

    ARCHITECTURE DESIGN 5

    B.Arch. Guilan University 2011

    RASHT APARTMENTS

    models which they developed regarding to 1. Form ( Shape, Size,...) 2. Space 3. Circulations ( including pedestrian and drive way and parking ) And also with considering climate and site factors.

  • 21

    ARCHITECTURE

    Design objectives:

    - East-west orientation, maximizing gaining natural heat and lighting-Cross ventilation-Maximizing level of comfort commensurate with households level of income-Proportionate units value-Considering family size and lifestyle

    + + +

    Mass Drive way Green space Pedestrian

    MASS MODEL

  • ARCHITECTURE DESIGN 5

    B.Arch. Guilan University 2011

    CIRCULATION FIRST FLOOR PLAN

  • 23

    THREE BEDROOM PLAN + DUPLEX PLAN

    FIRST FLOOR

    FIRST FLOOR

    SECOND FLOOR

  • Course name: Technical design

    Goal: underestanding detail

    Date: Spring 2010Instructor: Mehrdad Mojdehi

    Short description of project:Goal of this project was to underestand more throughly the role of structure in design and study and design construction detail of building. One the challenges of designing of a pool is to have a good understanding of wet and dry space how how to seal the joints.

    Physical model photographed and edited with photoshop

    ARCHITECTURE DESIGN 5

    B.Arch. Guilan University 2011

    SWIMMING POOL

  • 25

    ARCHITECTURE

  • TECHNICAL DESIGN

    B.Arch. Guilan University 2011

  • 27

    ARCHITECTURE

  • Course name: Geographical Information Systems

    Goal: Campus map for remote printers

    Date: Fall 2013

    Instructor: Glenn Hazelton, Ph.D.

    Location: Northeastern university

    Software used: ArcGIS, Illustrator

    Short description of project: Northeastern has 47 Printers, E-bars and Kiosks in different building throughout the campus to provide easier access to internet and printing services via these machines.The Snell library staffs check all the Printers, E-bars and Kiosks to refill papers , replace cartridge or

    M.Arch. Northeastern University 2013

    + GIS

    SNELL LIBRARY

    CAMPUS REMOTE PRINTERS MAP

    report any issue related to them.

    Help desk Remote printers

  • 29

    FINAL MAPS

    GIS

  • M.Arch. Northeastern University 2013

    IMPLEMENTATION AND VISUALIZATION

    PERFORMATIVE SURFACES

    FILTRATION CAPACITY: Soil saturation and fiber content are important factors in determining the capacity of a wetland in retaining water. Like a sponge, as the pore spaces in wetland soil and peat become saturated by water, they are able to hold less additional water and are also able to release the water more easily. Clay soils retain more water than loam or sand, and hold the water particles more tightly through capillary action since pore spaces are small and the water particles are attracted to the negatively charged clay. Pore spaces between sand particles are large and water drains more freely since less of the water in the pore is close enough to be attracted to the soil particle. Habib Maddahi.

    MAXIMUM POROSITYAND SURFACE AREA

    AVERAGE POROSITYAND SURFACE AREA

    MINIMUM POROSITYAND SURFACE AREA

    AVERAGE POROSITYAND SURFACE AREA

    INCREASING SURFACEAREA

    MAXIMUM POROSITYAND SURFACE AREA

    AVERAGE POROSITYAND SURFACE AREA

    MINIMUM POROSITYAND SURFACE AREA

  • 31

    DIGITAL FABRICATION

    +

    10mm

    A

    V. 442.4 mm3

    254.8 mm2

    A/V 0.57

    A

    V. 11076.4 mm3

    7766.3 mm2

    A/V 0.70A

    V. 3009.9 mm3

    1992.0 mm2

    A/V 0.66

    10.9mm 14.6mm 17.4mm 20.7mm 24.18mm34.52mm

    Perlin Noise Map

    Worley noise is a noise function introduced by Steven Worley in 1996. In computer graphics it is used to create procedural textures,that is textures that are created automatically in arbitrary precision and don't have to be drawn by hand. Worley noise comes close to simulating textures of stone, water, or cell noise.in this project the map been used as the displace map to prodice structure of stones.

    Perlin noise is a procedural texture primitive. The function has a pseudo-random appearance, yet all of its visual details are the same size. This property allows it to be readily controllable; multiple scaled copies of Perlin noise can be inserted into mathematical expressions to create a great variety of procedural textures. Synthetic textures using Perlin noise are often used in CGI to make computer-generated visual elements such as fire, smoke, or clouds appear more natural, by imitating the controlled random appearance of textures of nature.in this project the map been used as the secondary displace map to produce porosity of the stones.

    ECOSYSTEM SURFACE GRAPH

    Worley Voronoi Map

    Voronoi Diagram

    POROSITYSTRUCTURE

    MICRO

    MACRO

    EXTRACTING PATTERN FROM NATURE

    FILTRATION CAPACITY: Soil saturation and fiber content are important factors in determining the capacity of a wetland in retaining water. Like a sponge, as the pore spaces in wetland soil and peat become saturated by water, they are able to hold less additional water and are also able to release the water more easily. Clay soils retain more water than loam or sand, and hold the water particles more tightly through capillary action since pore spaces are small and the water particles are attracted to the negatively charged clay. Pore spaces between sand particles are large and water drains more freely since less of the water in the pore is close enough to be attracted to the soil particle. Habib Maddahi.

    MAP OF BOSTON

    HAZZARD MAP CATEGORIZED IN 4 VARIATION

    MICRO

    MICRO

    MICRO

    MACRO

    MACRO

    MACRO

    MACRO

    MACRO

    POTENTIAL AREAS FOR MICRO AND MACRO ECOSYSTEM

    STUDENT: HABIB MADDAHI INSTRUCTOR :MICHAEL BRADFORD GOETZ

  • M.Arch. Northeastern University 2014

    IMPLEMENTATION AND VISUALIZATION

    NEW YORK ENERGY CONSUMPTIONBuildings are one of the largest consumer of energy in the city, in New York city, large buildings-larger than 100,000 sq ft- account for 48% of energy use. New York City is one of the first cities that released energy data of buildings publicly for 2011 and 2012.

    842,426 5,000,000,000

    TOTAL ENERGY CONSUMPTION

    1.00 100.00MEDIAN ENERGY STAR SCORE

    MEDIAN ENERGY SCORE : 88TOTAL ENERGY CONSUMPTION:5,492,435,059 kBTUZIPCODE : 11373

    MEDIAN ENERGY SCORE : 45TOTAL ENERGY CONSUMPTION:122,105,848,913 kBTUZIPCODE : 10023

    MEDIAN ENERGY SCORE : 84TOTAL ENERGY CONSUMPTION:375,450,015,760 kBTUZIPCODE : 10003

    MEDIAN ENERGY SCORE : 64.5TOTAL ENERGY CONSUMPTION:5,497,895,516 kBTUZIPCODE : 11207

    MEDIAN ENERGY SCORE : 36TOTAL ENERGY CONSUMPTION:17,351,897,645 kBTUZIPCODE : 11239

  • 33

    GIS/ DATA VISUALIZATION

    ENERGY STAR : The 1 100 ENERGY STAR score is a screening tool that helps building owners assess how their building is performing. A score of 50 is the median. So if the building scores below 50, it means its performing worse than 50 percent of similar buildings nationwide, while a score above 50 means its performing better than 50 percent of its peers. And a score of 75 or higher means its a top performer. Map above shows New York citys total energy consumption and median energy star score divided by zip code area. The map clearly shows that Manhattan buildings consume larger amount of energy than other boroughs. 43.03 percent of buildings in New York have Energy Star Score of 75 or above which

    represents the top performer buildings, this number in Manhattan is higher and 44.66 percent have Energy Star Score of 75 or higher. According to type of the buildings, Offices with average of 71.04 have the highest Energy Star scores and MultiFamily Houses with average of 16.30 have the least Energy Star scores.

    we divided buildings into three groups of Offices, Multifamily houses and Others. The Graph below shows that Multifamily Housing account for 52.48% of total energy consumption of New York. It consume highest percentage of water and emit highest amount of Green house gases. In conclusion, to reduce energy consumption and GHG emission of New Yorks buildings, according to lowest Energy score and highest energy consumption of Multifamily housing, it should be the first place to work on and improve.

    23%TRANSPORTATION

    32%SMALL BUILDING:

    TOTAL ENERGY CONSUMPTION

    22%LARGE BUILDINGS:

    HEATING AND HOT WATER

    45%LARGE BUILDINGS

    11%LARGE BUILDINGS:

    LIGHTING

    12%LARGE BUILDINGS:

    APPLIANCE, COOLING, OTHER

    21.44%

    61.41% 83.98%

    6.46% 18.00% 21.19%

    53.84%

    24.97% 25.50%

    52.48%

    22.02%

    22.00%

    60.00%

    9.55%

    17.15%

    OTHERS

    OFFICETOTAL SITE ENERGY

    CONSUMPTION PER

    FEET

    TOTAL WEATHER

    NORMALIZED SITE

    ENERGY CONSUMPTION

    PER FEET

    TOTAL GHG EMISSION

    TOTAL INDOOR WATER

    INTENSITY

    TOTAL SITE ENERGY

    CONSUMPTION

    MULTIFAMILY HOUSING

    MULTIFAMILY HOMES 16.30

    40.38

    41.02

    41.93

    46.03

    48.04

    53.29

    55.31

    56.06

    59.57

    61.19

    65.64

    66.56

    71.04

    WAREHOUSE (REFRIGERATED)

    HOTEL

    HOUSE OF WORSHIP

    SENIOR CARE FACILITY

    MEDICAL OFFICE

    RETAIL

    HOSPITAL ( GENERAL MEDICAL AND SURGICAL )

    SUPERMARKET/ GROCERY

    RESIDENCE HALL/DORMITORY

    K-12 SCHOOL

    BANK / FINANCIAL INSTITUTION

    WAREHOUSE ( UNREFRIGERATED )

    OFFICE

    AVERAGE ENERGY STAR SCORE DIVIDED BY TYPE OF BUILDING

    MULTIFAMILY HOMES CONSUME THE MOST & HAS THE LEAST ENERGY STAR

  • M.Arch. Northeastern University 2015

    CASE STUDY 1

    NORMAN FOSTER PROJECTS

  • 35

    DATA VISUALIZATION

    NORMAN FOSTER PROJECTS

  • M.Arch. Northeastern University 2015

    DESIGN OF INFO-RICH ENVIRONMENT | PERSONAL PROJECT

    TRACKING MYSELF

    In this project I used an iPhone app called IFTTT ( if this then that! ), I utilized geo-fencing technique and defined a barrier around home and Northeastern university and set the software to create a dataraw in google doc spread sheet in four situations, when I leave home, when I arrive home, when I arrive at Northeastern University and when I leave the school. Then I imported the data in Tableau to create a bar chart. Moreover I edited the chart in illustrator. In this chart you can see that when I was at school. However some datapoints are missing and its not clear that when I entered the school when I left, prob-

    ably my cellphone was out of charge at those moments to create the data.In further project I incorporated this data with daytime and night time of the day. I considered the area of the circles as 24 hours. The second circle indicates amount of daytime at each specific day. The third circle point out the time that I was out of home and it was daytime. I assumed that when I am out of home and its daytime I am getting sunlight. The chart shows that on Wednesdays and Sundays I am getting the least amount of natural light.

  • 37

    DATA VISUALIZATION

    PRINT OUT ON TRANSPARENT SHEET, MODELED WITH GRASSHOPPER

  • t. Northeastern University 2015

    TEACHER ASSISTANT

    ALGORITHM FOR DIGITAL FABRICATION

    As teacher assistant of the SUEN class. I developed a Grasshopper algorithm to help students to prepare their models for laser cutter. The algorithm basically generate contours of the model and then lay them out on specified number of sheets for laser cutter. Variables in the algorithm made it easy to adjust the parameters for different model and purposes. For instance the distance of the contours, number of the sheets, number of the pieces inside each sheet, direction of the sectioned contours, etc. Moreover the algorithm add numbers to each piece for scoring and make it so easy to assemble the

    model. Also the algorithm generates the outline of the next piece on each piece and color code them for scoring therefore used exactly knows where to stick the next piece no matter how complex the model is.

    ADJUST POSITION OF POINTS & ADDING NUMBER OF EACH PIECE FOR ENCRAVING

    EXTRACTING POINTS TO PLACE NUMBER ON EACH PIECE

    COMPARTMENTALIZING PIECES INTO SPECIFIC NUMBER THAT CAN FIT IN A SHEET

    DESIGNED BY Luis Antonio Barsotti

  • 39

    DIGITAL FABRICATION | TEACHING

    Rive

    rine

    Ri

    verin

    e

    Pula

    star

    ine

    Es

    tuar

    y Es

    tuar

    y Ri

    paria

    n Zo

    neRi

    paria

    n Zo

    neUp

    land

    Zon

    eAq

    uatic

    Zon

    e Aq

    uatic

    Zon

    e W

    ETLA

    ND T

    YPE

    VEGE

    TATI

    ON

    STORAGE

    WATER FLOWCYCLE

    SURFACE FLOWDIRECT FLOWRIDGESTOPOGRAPHY HIGH POINT

    MIDDLE TOPOGRAPHY

    LOW TO FLAT TOPOGRAPHY CONTROLLED FLOW

    STORAGE FLOWSU

    BSUR

    FACE

    FLO

    W

    ATTENUATION INFILTRATION

    Controlling peak dischargeReduce down stream flooding Reduce stream bank erosion

    Reduction in downstream peak flowRecharging ground water

    Reduce or eliminate surface runoff

    SlopVegetation cover

    High soil permeability

    Increased property valueRecreational Habitat and wild life

    Bed slope >2%

    LawnsPlay fieldsOpen spaceSwalesParking lotsTrench to basin Maximize flow length between

    inlet and outletGradient side slope 3:1

    Recreation

    IMPLEMENTATIONNATURAL

    URBAN

    Grade control structures

    Habitat and wild life

    Short slopes

    Low velocity

    Vegetation

    Low gradient

    Intercept or control storm water runoff

    Diversion measuresVegetative buffer Low gradients

    PRECIPITATIONAnnual average rain fall - 43.56 inchDuration - 120 days pet year

    Porous pavementLow-volume roadsDrive waysParking lotsBike lanes

    FLOW TRAJECTORIESNATURAL CONSTRAINS

    EFFICIENCY OF GEOMETRY

    HYDROLIC CYCLEDISTRIBUTION ECO SERVICE

    STORAGE

    INFILTRATION

    ATTENUATION

    A

    ABBC

    BC

    Neponset watershed

    1:750

    TIDAL FLATSTORAGEINFILTRATIONATTENUATION

    TERRAIN INDEX ANALYSIS

    TERRAIN INDEX ANALYSIS

    LANDFORM INDEX FOR HYDROLOGIC CYCLE

    Worked with Meital Tsafrir - one of the students - to develop her Idea on her project for hydrologic cycle. We started with the peak points of Boston topography and then used voronoi algorithm to generate the surface.