Sayali Lamne, Master of Science in Sustainable Design (MSSD) @CMU, Architectural Portfolio

Page 1

Sayali Lamne

Selected Work 1


Table of Contents 01

Undergraduate Thesis: Redefining Relationship of Human & its Co-inhabitants through Architecture

03

02

Waste Management Centre, Mumbai

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03

Political Party Headquarter, Mumbai

15

04

Professional Practice: Samir Chinnai Associates, Mumbai

05

Environmental Performance Simulations (EPS)

06

Internship: Ideas Beyond Architecture (IBM), Mumbai

07

Visitors’ Centre for Elephanta Caves, Navi-Mumbai

08

Urban Design: Informalities in Bandra, Mumbai

09

Generative Modeling: Parametric Bldg. Envelope

18 22 32 34 36 38

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01

Redefining Relationship of Human & its Co-inhabitants through Architecture- Thesis • • • • • •

Location - Kharghar Plot Area - 202,343 sq.m (50 Acre) Built up area - 21,550 sq. m Type of project - Public Academic - Tenth semester (Thesis) Mentor - Ar. Swathi Chokshi

The aim of this undergraduate thesis research was to study & create a space, where both humans & their co-inhabitants can interact with each other without solid barrier of a cage. Educate people about their surrounding indigenous species & ecosystem and conserve them.

3


Aspects of Proposed Zoological Park This aim to conserve native flora and fauna and bring the humans closer to their co-inhabitants in an urban context led to the proposal of a ‘Zoological Park’. It gives a shelter to all the native non-human species struggling to survive in the wildlife due to various industrial or natural issues. They are nurtured under human care, although prioritising ‘animal enrichment’ to retain their natural behaviour, so that can released later in the wild. The park was designed in such a way to merge adjacent mountain range of ‘Western Ghats’ and house hundreds of species native to this tropical ecosystem. It also welcomes visitors, which are immersed with natural life and not vice versa. The proposal for the zoological park was based on an ‘Ex- situ conservation’ concept, which is part of ‘Pan-situ conservation’ or ‘Hybrid conservation’ approach. “It refers to the exchange of animals between in situ populations (in the wild) and ex situ populations (in human care) and has also been termed a ‘hybrid.’” In this approach these non-human species are conserved under human care, where animal enrichment is given the highest priority in a way to retain their natural behaviour. So that when they are reintroduced back to the wild they can adapt the environment.

Aspects of Proposed Zoological Park Conservation of Wildlife in their natural habitat without human intervention

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Location & Master Plan

5


Sustainable Strategies

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7


Green Roof Details

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02

Waste Management Centre, Mumbai • • • • •

Location - Mumbai, Maharashtra, India Plot Area - 40,467 sq.m (10 Acre) Type of project - Industrial & Public Type of work - Individual Competition entry - Asia’s Young Designer Award -2019 supported by Ethos & Nippon paint • Type of work - Individual The theme of this competition was to provide a design solution for ‘Sustainable future’ of our built environment. Thus, proposed a waste management centre replacing an existing landfill site. The program is composed of a waste management area for segreagation of waste, waste to electricity generation plant to produce ‘Clean Electricity’, a cow shed & organic farming and workshop spaces for community artists, who can turn garbage into masterpieces

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Introduction & Site Location

Waste Management System

Aim of the proposal is to reduce continously exceeding waste and covering the lands leading to many issues such as Pollution, Disposal Mangaments, Unhygenic environment causing varius diseases and viruses to emerge.

Context & Site Location

Mumbai generates 7,000-7,500 metric tonnes of solid waste every day. Since the closure of Mulund dumping ground in 2018, the city only has two functional dumping sites — Deonar and Kanjurmarg. This will put lot of pressure and increase the load on the other two site. Thus, to reduce the this a ‘Waste Management Center’ is proposed to not only cater to the demand of suburban areas of Mumbai, but help in waste reduction.

A Basic Flow Chart Representing the Waste Management Systems in the Centre

Design Process

Massing on the site 12


13


Sectional Perspective Showing Sustinable Strategies Used

Waste to Electricty Generation Process 14


03

Political Party Headquarter, Mumbai • Location - Mantralaya (Administritative Headquarters) area, Mumbai • Built up Area- 20,000 sq.m • Type of project - Private • Academic - Ninth semester (A. D. studio) • Mentor - Ar. Snehal Gaikawad • Type of work - Individual The project brief was to design design a National political party headquarter for a political party of our choice. The project includes public and private activities of the partty. The Design of the Headquarter must reflect an ambience conducive to securely conducting the political business, rallies, meetings etc yet being transparent to public interaction.

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Design Process:

N

16


Circulation Diagram

Section AA’ (Through Auditorium)

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04

Professional Practice: Samir Chinnai Associates, Mumbai • • • •

Project- Salstte-27, Byculla Artist’s Impression- Made by Visualizer

Type of project - Residential Projects (Salsette-27) Project Head - Ar. Mahesh Jadhav Type of work - Team work Worked on - Working Drawings, Details, Presentations, Practice on BIM (Revit), Site co-ordination and meetings.

Samir Chinai Associates (SCA) is a Mumbai based multi-disciplinary firm providing comprehensive services in Architecture, Urban Planning, Interior Design, and Value engineering. In my capacity as a Junior architect I got to work on multiple Residential projects using an integrated Building Information Modelling (BIM) system to be in sync with other international partners. Salsette-27, is a residential housing projects, which is LEED Platinum pre-certified green building for sustainable living.

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Context & Site Location

Design Process:

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Environmental Performance Simulation (EPS) Image Source: Towseef Dar Shop

• Academic - Fall semester • Guide - Ömer T. Karaguzel, PhD, LEED AP BD+C®, WELL APTM • Type of work - Group The main aim of this course was to gain the experience of working in a multi-disciplinary team for simulation-aided design analysis and development for environmentally responsive and comfortable built environments. Next well-equip students with necessary computational skill sets to use physics-based software to extract numeric climatic data from standardized weather data files and transform the necessary data into design support information through weather data analyses supplemented with enhanced data visualization techniques for insightful interpretations and communications. The course has covered following studies: A. Solar Radiation Studies B. Visible Radistion (Daylight) Studies C. Thermal Radiation Studies

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A. Solar Radiation Studies This study aim to systematically apply a range of analytical methods for the quantification of solar radiation effects on the exterior building surfaces and ground planes on a selected project site. In this case its Los Angeles, California. Further develop an advanced understanding of the interactive effects of building & site design (such as building orientation), external elements (such as static shading devices) and local climateon solar resources in the form of time-aggregated radiation gains for improved environmental responsiveness and awareness of local environmental/natural sources.

Given Building Case

Solar Photo Voltaic Design

Axonometric view of our building case model. The highlighted grey portion is our case study building, and the blue highlighted portions are the glazing on our case study building Task No. Task Description

Findings

1

Location

Name: Los Angeles International Airport Latitude: 33.93 degrees N Longitude: -118.4 degrees (118.4 degrees W) Time Zone: -8 Elevation: 30

2

HDD and CDD

Balance Temperature: 10 degrees Celsius HDD: 14.929 days, CDD: 2510.6 days Balance Temperature: 18.3 degrees Celsius HDD: 818.621 days, CDD: 284.791 days

3

Dry-bulb temperature, relative humidity, and wind speed

Min-Max: Dry-bulb: 5.6 - 32.2 degree Celsius Relative humidity: 10 - 100 % Wind speed: 0 - 15.4 m/s

4

Global, direct, and diffuse solar radiation intensity (SRI)

Min-Max: Global SRI: 0 - 1.017 kWh/m2 Direct SRI: 0 - 0.953 kWh/m2 Diffuse SRI: 0 - 0.488 kWh/m2

5

Wind conditions

Calm: 811 hours Light Air: 63 hours Gentle Breeze: 2512 hours Strong Breeze: 24 hours Strong Gale and Above: 0 hours Total: 3410 hours

6

Below freezing level (0 degree Celsius)

Hours satisfied the requirement: 0 hours

7

Temperature variation (13 - 29 degrees Celsius)

Hours satisfied the requirement: 7439 hours

8

Global solar radiation analysis

Overcast/cloudy (100 - 400 kWh/m2): 1501 hours Clear (>600 kWh/m2): 1265 hours Total: 2766 hours

9

Sky analysis

Sunny/clear (sky cover<=30%): 4370 hours, 49.89% Cloudy (sky cover>=70%): 3424 hours, 39.08% Total: 7794 hours, 88.97%

A summary of the findings from the EPW file for the Basecase

1st Method : Creation of sky dome, which will show the patch with maximum radiation & locate the Angle(Top View & Perspective)

2nd Method : Using received solar radiation on a horizontal plane to locate the angle (Calla Dome)

Above two methods are used to find best HRA (Horizontal Angle) & VRA (Vertical Angle) to position the facing of the Solar Panels

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SED I - Surface Comparisons

Workflow of Grasshopper using Ladybug plug-in for SED-I Surface comparisons

• SED I - Surface Comparisons (Annual):

Total annual SED on the Eastern facade is 746.94 kWh/m2

Total annual SED on the Southern facade is 1,002.07 kWh/m2

Total annual SED on the roof is 1813.21kWh/m2

Total annual SED on the Northern facade is 652.91 kWh/m2

• SED I - Surface Comparisons (Summer): Total SED on the Eastern facade (Summer)- 204.30 kWh/m2

Total SED on the Southern facade (Summer)- 266.14 kWh/m2

Total SED on the roof (Summer)- 496.01 kWh/m2

Total SED on the Northern facade (Summer)- 175.40 kWh/m2

• SED I - Surface Comparisons (Winter):

Comparison of SED on each facade of the structure during various time period

The SED study helps to understand which facade or area of the building receives most of the radiation. Based on the analysis, one can provide the passive design strategies to reduce, eliminate, or utilize the solar gain without compromising the occupants’ comfort. The Southern facade is receiving more SED than the Northern facade during both Summer & Winter. During Summer, the Sun angle is higher along with exposure for a longer time. Compared to Summer, the sun angle in Winter is lower; thus, the intensity is low. Due to the higher angles during Summer eastern facade is gaining more intense sunlight from August to October than it gets during February to April. Above analysis demonstrates that the roof is receiving the highest SED, which would be the best place for Solar panels to rest and generate renewable energy. As the southern facade is exposed to harsh sunlight, we can use various shading devices such as overhangs. Considering the tropical climate of the L. A. These overhangs could be arcades, pergolas, or retractable roofs, which can provide shading yet welcomes the breeze. Further, instead of long overhangs, we can provide louvers that bring cool breezes or dense vegetation to block the sun. The northern facade can have skylights or glazing, which will allow light without heat gain. Deciduous trees can be planted on the Eastern facade, as during summer, they will give shade, and winter will let the space be warm after fall.

Total SED on the Eastern facade (Winter)- 182.280 kWh/m2

Total SED on the Southern facade (Winter)- 182.280 kWh/m2

Total SED on the roof (Winter)- 417.22 kWh/m2

Total SED on the Northern facade (Winter) - 160.42 kWh/m2

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SED II - Effect of Building Orientation

Sun-Path Diagramming with Shadow Ranges

• SED II - Orientation (Annual):

N

Total SED(N-0) 509.03kWh/m2

Total SED(N-90) 495.21kWh/m2

Total SED(N-180) 521.74kWh/m2

Total SED(N-270) 538.61kWh/m2

• SED I - Surface Comparisons (Summer):

September 22

December 21

March 20

N

June 21

Total SED(N-0) 509.03kWh/m2

Total SED(N-90) 495.21kWh/m2

Total SED(N-180) 521.74kWh/m2

Total SED(N-270) 538.61kWh/m2

• SED I - Surface Comparisons (Winter):

N

Total SED(N-0) 509.03kWh/m2

Total SED(N-90) 495.21kWh/m2

Total SED(N-180) 521.74kWh/m2

Total SED(N-270) 538.61kWh/m2

Butterfly shadow diagrams for winter and summer solstice and fall and spring equinox

Comparison of Total SED with different orientations of the structure 25


B. Visible Radiation (Daylight) Studies This study aim identify how basic principles of photometry and optics can be used to generateand evaluate a comprehensive set of daylight harvesting design strategies for building spaces. Acquire necessary skills (Rhino-GrasshopperClimateStudio with Radiance illumination algorithm) to systematically apply a range of analytical methods for the quantification of “luminous environment” within an architectural space.

Visual Acuity Evaluations I -Daylight Factor Visualization

Given Building Case

N

Daylight Factor- Baseline

Daylight Factor- Iteration 1

Daylight Factor- Iteration 2

N

Case Building in Los Angeles

Space Assignment and Baseline Furniture Layout

Design Iterations - Material Change

• The existing design of the building is experiencing high ASE, glare and illuminance issues. Thus, to control the natural daylight and create visual comfort for the office environment materials, which are matte or has low reflectance and opaque are proposed to reduce the glare . • To bring more natural light inside the conference room as well, materials of ‘Window Glazing‘, ‘Skylight Glazing‘, & ‘Internal Wall‘ are changed and the best option is choosen to proceed further.

Goals

Colour-coded Daylight Factor Visualization Iteration

Baseline

1

- Increase % of area with DF between 2 and 5 - Increase Mean and Median - Increase % of Area which is valued between 300-3000 lux - Increase Median Illuminance - Increase sDA and LEED Credits earned - Equally distribute illuminance

2

Areas

Baseline

Material Change-1

Material Change-2

Glazing

Clear Float Glass Clear 6 [mm]-Single Layer

Azuria Clear Argon (Two Pane Glass)

Clear-Clear-Clear

Skylight Glazing

Clear Float Glass Clear 6 [mm]-Single Layer

Clear

Clear-Clear-Argon

Internal Wall

Wall LM83

Clear

Starphire

Daylight Factor

% of Area Meeting the Standards

DF>=2%

28.54

DF>5%

17.52

2%<=DF<=5%

11.02

DF>=2%

74

DF>5%

39

2%<=DF<=5%

13.37

DF>=2%

76

DF>5%

44

2%<=DF<=5%

19.7

Mean DF

Median DF

2.18%

0.4%

4.6%

4.9%

4.9%

4.0%

Daylight Factor Data Comparison

A room is considered well lit is when the daylight factor reaches at least 2% and less than 5%, but supportive artificial light may still be required. Lastly, there will be no need for artificial light if the daylight factor is over 5% but might feel vigourously lit

Material Changes for Design Iteration

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Baseline Visual Acuity Evaluations II - Point-in-Time Illuminance

Climate-Based Annual Daylighting Evaluations

This section explored the illuminance on the working plane (desk surface) at specific times and dates, 9:00 a.m. and 3:00 p.m. on March 21st and December 21st. The target range is between 300 lux (Target lux) and 3000 lux (Excessive lux).

The following simulations were done for the open office space, with a schedule of 8 am- 6 pm on Mondaysthrough Fridays with DST. The simulations were also calculated for the entire year. The metrics measured are spatial daylight autonomy [% of area], annual sunlight exposure [% of area], LEED v4.1 credits earned [#], and mean illuminance [lux]. In order to get these results, a sensor grid was created within the grasshopper script with a grid spacing of 0.3 meters that was offset 0.76 meters away from the floor plane. The target lux for this grid was 300 lux.

March 21st 9 a.m. Spatial Daylight Autonomy (sDA)

March 21st 9am - Baseline

March 21st 9am -Iteration 1

March 21st 9am - Iteration 2

March 21st 3 p.m. Baseline

31.89%

Design Iteration1

70.63%

Design Iteration 2

72.86%

Annual Sunlight Exposure (ASE) March 21st 3pm - Baseline

March 21st 3pm -Iteration 1

March 21st 3pm - Iteration 2

December 21st 9 a.m. Baseline

18.29%

Design Iteration1

38.63%

Design Iteration 2

38.86%

Mean Illuminance December 21st 9am - Baseline

December 21st 9am -Iteration 1

December 21st 9am - Iteration 2

December 21st 3 p.m.

Baseline December 21st 3pm - Baseline

December 21st 3pm -Iteration 1

December 21st 3pm- Iteration 2

Median Illuminance Data Comparison

612 lux

Design Iteration1

745 lux

781.04 lux Design Iteration 2

Climate Based Annual Daylight Evaluation

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Visual Comfort Evaluations I - Annual Glare Analysis

B. Visual Comfort Evaluations II - Point-In-Time Glare Analysis

This section explored the possible glare that may adversely affect the occupants in the assigned case buildings. When the DGP (Daylight Glare Probabilty) falls between 0.35 and 0.40, the occupant can detect the glare, but it will not cause trouble. However, when the DGP is between 0.40 and 0.45, the occupant will feel disturbed by the glare, and they will seek another place for working due to the intolerable glare when DGP is over 0.45.

The point for this analysis has been selected to understand the glare while all the windows are within the camera range. We understand that this requires the camera to be in a corner where there will be imperceptible glare (according to the simulations) but it provides a wholesome analysis by considering the high illuminance surfaces and it can be interpreted that the locations with high illuminance will experience glare during these times.

EV =992 lux DGP = 0.04 Imperceptible

Perceptible Glare

12.99%

14.11%

Baseline (DGP>0.34)

Design Iteration1 (DGP>0.34)

9.60% Design Iteration 2 (DGP>0.34)

EV =608 lux DGP = 0.28 Imperceptible

March 21st at 9 a.m.

March 21st at 3 p.m.

EV = 1055 lux DGP = 0.29

Disturbing Glare

Imperceptible

9.16%

9.94%

Baseline (DGP>0.38)

Design Iteration1 (DGP>0.38)

6.80% Design Iteration 2 (DGP>0.38)

Intolerable Glare

EV = 747 lux DGP = 0.28 Imperceptible

June 21st at 9 a.m.

June 21st at 3 p.m.

EV = 1176 lux DGP = 0.32 Imperceptible 5.55%

6.29%

Baseline (DGP>0.45)

Design Iteration1 (DGP>0.45)

4.70% Design Iteration 2 (DGP>0.45)

Metric

Baseline

Iteration 1

Iteration 2

Iteration 3

sDG (% of Views)

18.43

24.64

36.25

38.12

Table sDG Comparison of Design Iterations

EV =770 lux DGP = 0.28 December 21st at 9 a.m.

Imperceptible

December 21st at 3 p.m.

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C. Thermal Radiation Studies

Baseline Hourly Temperature Analysis

This study aim to be able to conduct a set of manual parametric analyses using the computational tools (Rhino-GrasshopperClimateStudio with EnergyPlus engine) byvarying physical (geometric) and thermo-physical properties of building components and systems and evaluate subsequent effects on thermal performance of an architectural space. Further, gain interactive experience of creating and using “spatial comfort analysis” used for quantification and graphical representation of occupants’ thermal comfort at indoor building spaces.

Given Building Case

Building Element

Case Building in Los Angeles CS Thermal Assembly

Components and simulation results for an extremely cold week in an open office

U-Factor (W/m2.K)

External Wall

Medium Office-3B Steel Frame NonRes Ext Wall

0.694

Internal Wall

Medium Office-3B Int Walls

2.388

Slab/Floor

Medium Office-3B Ext Slab

1.805

External Glazing

Medium Office-3B Non-Res Fixed Assembly Window Frame: “On” Frame Conductance: 5.68 W/m2K Frame Width: 0.05m (5cm) Interior Shading Not Included

3.236

Skylights

Medium Office-3B Non-Res Fixed Assembly Window Frame: “On” Frame Conductance: 5.68 W/m2K Frame Width: 0.05m (5cm)

3.236

Medium Office-3B IEAD Non-Res Roof

0.364

Roof

CS Zone Tab

Baseline Spatial Thermal Comfort Analysis

Open office extreme cold & extreme hot week hourly temperature (degree C)

Building Envelope Assignment Input Parameter

Input Value and Units

Loads

Occupant Density

Open Office: 0.23 people/m2 Conference: 0.19 people/m2

Loads

Equipment Power Density (EPD) (~ Equipment)

Open Office: 22 W/m2 Conference: 2.38 W/m2

Default thermal model parameters

Coldest day Hottest day Results of Spatial Thermal Comfort Analysis for Open office without HVAC 29


Baseline Hourly Heat Gains & Losses Analysis

Baseline Heating & Cooling Energy Consumption Analysis

The data collected on 21st Jan for Heat Loss & 21st July for Heat gain, and then graphed to segragate the Total Heat Loss and Heat gain by different Above worksflow shows the Total Annual Heating & Cooling Energy Consumption by the baseliine model and then graphed into Monthly Energy COnsumption

Baseline Mapping Loads Data onto Thermal Zone Geometries

Baseline Whole-Building Environmental Performance Analysis

Above worksflow maps the Thermal Load Data onto the Thermal zones of the given Geometry

Performance of the Whole Building alsong with Monthly Dissagregated EUI

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Design Iterations: Change in Heating-Cooling Mechanical System Types This design change aims to increase the efficiency of the Mechanical system without compromising the occupant’s comfort level. The same Rhino model is used as the baseline to do the design iterations. The heating and cooling conditions for two thermal zones, Open Office- Core & Conference Room- Perimeter, are changed. As we wanted to increase the overall performance of a given commercial building, we opted for three different ‘Heat Pump Systems’ options for both heating & cooling and increased their COPs, keeping the rest of the setting untouched. Thus, we tested ‘Air source heat pump,’ ‘Water source heat pump,’ & third ‘Ground source heat pump’ and increased their efficiency respectively. The workflow for gathering this data was similar to the baseline models in terms of the script used and the calculation for converting Joules to kWh. For each option, we ran the simulations and analyzed the ‘Overall Building Performance’

Properties

Base case

HVAC system -1

HVAC system -1

HVAC system -1

System

Heat Pump

Air-Source Heat Pumps

Water Source Heat Pump

Ground Source Heat Pump

Heating System COP

3.419

3.81

4

5

Cooling System COP

2.967

3.22

3.66

4.21

OFF Type: Sensible

OFF Type: Sensible

OFF Type: Sensible

OFF Type: Sensible

0.70/ 0.65

0.70/ 0.65

0.70/ 0.65

0.70/ 0.65

No Economizer

No Economizer

No Economizer

No Economizer

Heat Recovery Ventilator (HRV) HRV Effectiveness (Sensible Recovery Ratio/ Latent Recovery Ratio) Economizer

Baseline & three other options tested for HVAC systems with changes in COPs. Performance

Base case

HVAC system -1

HVAC system -2

HVAC system -3

Site EUI (kWh/m2/yr)

84.94

83.51

81.97

79.9

CO2 Emission (kgCO2/m2/yr)

44.85

44.09

43.28

42.19

Energy Cost ($/m2/yr)

10.67

10.48

10.29

10.03

-

-1.60%

-3.50%

-5.93%

Comparison of Results

Performances of existing HVAC system for baseline with other options

After running the simulation and changes for each option the differences found in overall building performance

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06

Internship: Ideas Beyond Architecture (IBA), Mumbai Architects | Interior Designer | Urban Planners • Type of Projects - Urban Planning, Residential, Commercial, Hospitality • Time of Work - Internship (Nov 2016 to Feb 2017) Eighth Semester • Type of work - Team work • Worked on - Presentation, Design Development, Working Drawings, Architectural Drawings, Bill of Quantities. IBA is one of the most innovative design practices amongst breed of design professionals, founded by Architect Akkhilesh Seth. Since inception they have pioneered in Architecture and Interior Designs of Hospitality(Hotels), Residential and Commercial projects. Thus, I got to work on large scale projects 3 acre Resort hotel to Interiors of a 3BHK. Also involved in the process of Design Development for some projects, Presentation Drawings for Client, Working Drawings, Good for Construction (GFC) & Façade Design. While working on Interior Design projects explored new ways of designing, Presentations and new materials, as IBA is always keen on material selection. As per their philosophy of work everyone is participant thus got to see meetings with clients, vendors and consultants.

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Commercial Office Building (Thane): Facade Design Worked on Design development stage from start and came up with an envelope design that can enhance the exisiting structure.

Old Bailey’s Caffe’, Seawoods Grand Central Mall (Navi-Mumbai): Interior Design Worked on mood board, Design development, Material selection and Architectural drawings

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07

Visitors’ Centre for Elephanta Caves, Navi-Mumbai • • • • • • •

Location - Elephanta Island Built up Area- 3,000 sq.m Type of Project - Public Academic - Fourth semester (A. D. studio) Time of Execution - November 2014 to April 2015 Mentor - Ar. Neha Panchal Type of Work - Individual

The project brief was to design a visitor’s centre for Elephanta caves. The aim was to increase importance of the world heritage site and thus protecting the culture. The program includes a ticketing counter for elephanta caves, cafeteria, small hall and A. V. room for exhibitions and a stay facility for visitors. The concept behind this Design proposal was to to provide solution without hampering the existing natural site conditions.

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Site Context & Location

Concept • The design of visitor’s center is inspired from ‘tent’ in a forest. • Trees on site gives direction to spaces. • Walls acts as the main element. • Tensile structure gives a free flowing form that creates diffferent volumetric spacesAlso it’s a light weight structure that supprts long spans

Design Process Site Plan

Instead of considering existing tees as a SITE CONSTRAINTS and cutting, Building interesting spaces around them.

Views from Architectural Model

Section AA’

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08

Urban Design: Informalities in Bandra, Mumbai • • • • • •

Location - Bandra, Mumbai, Maharashtra Type of project - Urban Design Academics - Nineth Semester Time of Execution - July to October 2018 Type of work - Team work Worked on - Graphics, Sketches, Planning, Design Solution

An analysis+design project of the human behavior and science of informality in the suburb of Bandra, Mumbai. The objective of the exercise was to study the layers of urban fabric in H-ward with regards to a specific lens: informality. We finalised the definition of ‘Informility’ as : ‘Activities of spaces that aren’t decidedly planned, but comeup due to various intangible factors and could have a positive or negative impact based on several factors.’ Several regions in Bandra were compared with regards to thetype of informality seen within them ranging from Business zone, Transport region, contemporary commercialized streets to heritage sites. Ranwar village was delineated as the region of study due to its ‘Wall arts’ and analysis and design interventions are with respect to them.

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Site Location

Site Analysis

POSTERS TO ATTRACT VISITORS

Design Process • • •

The village. humbly tucked away into Bandra’s expensive neighbourhood, has many informal spaces which are dying out. Ranwar’s informility is what gives it it’s character. The design and policies are meant to essentially make Ranwar a heritage place, and to be used as a cultural platform for the artistic suburb of Bandra. Open air theatres, art festivals, heritage walks, movie screenings, various exhibitions can be arrange to attract people, promoting wall art of Ranwar to preserve and protect it’s art, architecture and heritage. Streets of Ranwar with Wall Art-1

Streets of Ranwar with Wall Art-2

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09

Generative Modeling: Parametric Bldg. Envelope • • • •

Type of project - Generative Modeling Instructor - Joshua Bard Academics - Fall Semester Type of work - Individual

Algorithmic techniques in design allow for precise positioning of building components, variable patterning, and complex relationships between form and function. The aim of this assignment was to explore the algorithmic design of a parametric building envelope system using Grasshopper and GH_ Python. For this a building envelope in Grasshopper using a drive surface is created, which is facade having a curtain wall behind it. The pattern is created by four petals. The fenestrations created by opening & closing of these petals and controled by a parametric logic to control the amount of light and acting as a shading device. In this case these openings are controled by Sun path.

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Grasshopper-GhPython Worksflow for the Parametric Bldg. Envelope

Parametric Bldg. Envelope along with the Sun Path created in Grasshopper 39


Contact Sayali Lamne

+1(412)-980-1140 | sayali03lamne@gmail.com

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