Portfolio

PORTFOLIO

CHANDRASEKHARAIAH ASHISH HIREMATT (MASTER OF SCIENCE IN ARCHITECTURE) ILLINOIS INSTITUTE OF TECHNOLOGY

BACHELOR OF CIVIL ENGINEERING M. S. RAMAIAH INSTITUTE OF TECHNOLOGY

CHANDRASEKHARAIAH ASHISH HIREMATT EDUCATION PROFILE Civil Engineer Pursuing a Master of Science - MS focused in Sustainable Architecture from Illinois Institute of Technology.

Skilled in AutoCAD, Revit, Microsoft Office, well versed with 3D modelling software such as Rhino, Revit, SketchUp and environmental simulations software like DIVA and UMI. CONTACT Phone +1 (312) 826-7959 Email chirematt@hawk.iit.edu LinkedIn https://www.linkedin.com/in /chirematt/

Year 20192013-2017 2012-2013 2010-2011

Degree MS (Architecture) BE (Civil Engineering) Class XII (CBSE) Class X (CBSE)

Institution Illinois Institute of Technology, Chicago M. S. Ramaiah Institute of Technology, Bangalore Kendriya Vidyalaya Indian Institute of Science, Bangalore Kendriya Vidyalaya Indian Institute of Science, Bangalore

WORK EXPERIENCE •

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TECHNICAL SKILLS

Teaching Assistant to Professor Stephen John Kibler • •

Subject: “Structure I”, Illinois Institute of Technology Spring 2020

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Subject: “Structure I”, Illinois Institute of Technology Fall 2019

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Play: “Mad Gravity” written by William Missouri Downs, Spring 2019

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Employer: “Souharda Architects and Interior Designers” 2017-2018

Grade 3.75 CGPA 8.65 CGPA 90.40% 9.60 CGPA

MS Office, AutoCAD, Survey Practice, Revit, 3ds Max, Sketchup, Photoshop

Teaching Assistant to Professor Mahjoub M Elnimeiri

EXTRA CURRICULAR ACHIEVEMENTS

Production manager, Quiver productions in Bangalore

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Trainee Architect

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Summer Research Internship

HOBBIES

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Employer: CSIR-CRRI, New Delhi Topic: “Capacity Estimation for Curved and Straight Sections in a Rolling Terrain on Multilane Interurban Highways in India” Summer 2015

Achieved first place in the inter college VTU youth fest, in 2016,2017 and involved in various theatre productions in Bangalore.

Awarded the “International Best Child Artist”

by Korasala’s Wonder Art World in 2003

Sketching, painting, theatre, adventure activities, football and music

ZERO CARBON URBAN DESIGN 2050: SHENZHEN Project type: Architectural Studio

Year: 2019

Team Project

Location Shenzhen is a major city located on the east bank of the Pearl River Estuary on the central coast of southern Guangdong Province, People’s Republic of China. It is the fastest growing city in the world. The site of the studio work is one square kilometer of reclaimed land on the coast. The aim was to design for a capacity of 20,000 people per square kilometer.

Objectives And Strategies Architectural design for the future is a way to introduce the complexity of adapting to upcoming possible future technologies while also keeping in mind the basics of ecological urbanism. The problem to tackle involves preventing environmental degradation and to improve the health of the people.

ZERO CARBON URBAN DESIGN 2050: SHENZHEN

Design Approach

DRONES TRANSPORTATION HUB

DRONES TRANSPORTATION HUB

SCHEMATIC PLAN OF THE SITE

SEMI-PUBLIC SPACES

ENLARGING TOWERS PARCELS

HEXAGON SHAPE

DRONES ROUTES

PUBLIC SPACES

The bay had to grow about a center of attraction. The Drone hub was the center of the site. The design of the site was based on drone transportation as the major mode of transport in the future as they are sustainably fueled.

Drone Transportation The focus of the site is the drone parking. Design for drones should be one of the most important consideration for the future. Having this as a center for the design ensures that the other building typologies grew around this. In a land of a square kilometer, this would promote walkability.

The path for the drone was designed at different heights based on the purpose.

External access to the site was given from a higher altitude while the internal movement would happen at lower altitudes.

DIRECT ACCESS Min Height: 60m

DRONES DIRECT AXIS

PEDESTRIAN AXIS

INDIRECT ACCESS

DRONES INTERNAL ROUTES

ZERO CARBON URBAN DESIGN 2050: SHENZHEN

DRONE TRANSPORTATION HUB

Zoning Of STILT BUILDING

ZERO CARBON URBAN DESIGN 2050: SHENZHEN

SOCIOCULTURE AXE

TOWERS LOW-RISE RESIDENTIAL NEIGHBORHOOD 01 Area: 706,000 m2 Towers Heights: Minimum: 30m Maximum: 250m

STILT BUILDING

TOWERS

LOW-RISE RESIDENTIAL

SOCIO-CULTURE AXIS

NEIGHBORHOOD 02 Area: 55,000 m2 Maximum Height: 50m

OFFICES l RETAIL l HOSPITALITY

The Site

NEIGHBORHOOD 03

RESIDENTIAL l RETAIL

WATER CANAL CANAL VOLUME: 614,477 m3 50 YEARS SURGE

NEIGHBORHOOD 04 Area: 2,800,000 m2 Maximum Height: 50m

CULTURAL l OFFICES l RETAIL

ZERO CARBON URBAN DESIGN 2050: SHENZHEN

Area: 900,000 m2 Towers Heights: Minimum: 30m Maximum: 250m

Solar Analysis

Wind Analysis

ZERO CARBON URBAN DESIGN 2050: SHENZHEN

SOLAR ANALYSIS OF THE DESIGN

WIND ANALYSIS IN THE NORTH EAST DIRECTION

WIND ANALYSIS IN THE NORTH DIRECTION

The land occupied in this design is very high. This gave rise to shaded streets which encourages walkability and enormous solar potential due to the availability of horizontal area.

16m

COURTYARDS CENTER

SOUTH

SEMI-PUBLIC SPACES

16m PUBLIC SPACES

WIND ANALYSIS IN THE EAST DIRECTION

To induce walkability, the streets, while being shaded is also need to be aerodynamic to ensure good ventilation. The model is tested for the same. The streets increase the speed of the wind as they are narrower.

Thus making the fabric more walkable.

Model

ZERO CARBON URBAN DESIGN 2050: SHENZHEN

ZERO CARBON URBAN DESIGN 2050: SHENZHEN

RENDERING OF THEBRIDGES OVER LAKES

SHADED STREETS

FOUNTAINS FOR COOLING

VIEW FROM THE SHORE

CLUSTERISATION OF TOWERS

SHADED COURTYARDS

ZERO CARBON URBAN DESIGN 2050: SHENZHEN

CANAL PASSAGE BETWEEN AND UNDER THE BUILDINGS

ZERO CARBON URBAN DESIGN 2020: SHENZHEN Project type: Architectural Studio

Year: 2019

Team Project

Location Shenzhen is a major city located on the east bank of the Pearl River Estuary on the central coast of southern Guangdong Province, People’s Republic of China. It is the fastest growing city in the world. The site of the studio work is one square kilometer of reclaimed land on the coast. The aim was to design for a capacity of 20,000 people per square kilometer.

Objectives And Strategies The intention to design for the present was focused primarily on ecological footprint

Weather Analysis

ZERO CARBON URBAN DESIGN 2020: SHENZHEN

Designing a zero-carbon urban fabric implies that the location of the site should be thoroughly studied. Using a plug in called Ladybug, in grasshopper, the psychometric chart was obtained. It was found that the city is hot and humid. The strategy to cool the city passively used wind, sun and water.

Wind Rose

Sun Path

PSYCHOMETRIC CHART OF SHENZHEN

Wind As A Design Driver The primary source of cooling in a hot and humid climate is the blowing wind. A wind corridor was opened in the direction of the wind as per the wind rose diagram. Offsets created from the corridor integrated with the existing grid acts as the footprint areas.

WIND ROSE APPLIED ON THE SITE

NORTH EAST WIND ANALYSIS

ZERO CARBON URBAN DESIGN 2020: SHENZHEN

WIND CORRIDOR DEVELOPMENT

FOOTPRINT DEVELOPMENT

CANAL

NORTH WIND ANALYSIS

Continuity to the green corridor

PARK

WIND CORRIDOR BEING TESTED

Heat Island Effect

ZERO CARBON URBAN DESIGN 2020: SHENZHEN

ZONE C

ZONE A Towers Heights: Minimum: 80m Maximum: 300m

ZONE B Towers Heights: Minimum: 50m Maximum: 180m

Creating a wind corridor implied the splitting of the site into different parcels. The parcels included various building typologies and thus created dense urban environments within them. This dense urbanization causes heat island effect. The presence of the corridor reduces the heating island effect significantly.

ZONE A

GREEN BELT temporary-use building Open-air theatre – F&B

ZONE B ZONE C HOSPITALITY CULTURAL ZONE B ZONE A - OFFICE TOWERS - RESIDENTIAL - RETAIL - HOSPITALITY CULTURAL

RESIDENTIAL OFFICES RETAIL

ZONE C

Shading And Solar Energy Utilization Sun is considered both as an asset as well a liability. There needs to shading against the scorching sun while also exposing the buildings to maximize the potential capturing of the sun.

Self shading systems due to the tall buildings were used. This ensured maximum exposure of the roof of the tall buildings to the sun as well as shaded shorter buildings.

EFFICIENT SOLAR ROOFS

SHADED AREAS

ZERO CARBON URBAN DESIGN 2020: SHENZHEN

COURTYARDS AND SHADED SPACES

ZERO CARBON URBAN DESIGN 2020: SHENZHEN

Resiliency Against Floods And Storms

CONTOUR CREATION

50 YEAR STORM

Sun Internal resilience involves flood management due to storm water run off and the drainage due to the population. A single canal system was designed to tackle internal flooding. There were green belts introduced around the canal which acted both as recreational space as well as flood plains during very high floods. This was done in order to increase the quantity of usable land and reduce the land occupied by the canal alone. Various activities were introduced around the canal as it is located in the wind corridor.

AQUARIUM

LANDMARK

GREEN BELT

BRIDGES KINETIC TILES

100 YEAR STORM SURGE

-Internal And External For external resiliency, it is important to consider that the water towards the east is flowing while the northern water, after diversion is relatively calm. Hard edged Levees were decided in order to protect from the regular flash flooding and storms. External resilience involves protection against sea waves and rising water levels.

RISING SEA LEVEL= 1.12 +8.00m

+10.00m

WAVE ACTION= 2M

1.3m

+10.00m LEVEE

STORM SURGE= 0.5M

+4.00m

+5.00m

4.2m

+10.00m

HEIGHT OF THE TIDE= 1.5M

OCEAN LEVEL

ZERO CARBON URBAN DESIGN 2020: SHENZHEN

CANAL VOLUME: 1,200,000 m3 100 YEARS SURGE

+10.00m

SKYLINE RENDERING

ZERO CARBON URBAN DESIGN 2020: SHENZHEN

ZERO CARBON URBAN DESIGN 2020: SHENZHEN

DETAILED RESIDENTIAL BUILDING PLANNING AND CONSTRUCTION Project type: Architectural Internship

Year: 2018

Finalized Plan

Professional Project

DETAILED RESIDENTIAL BUILDING PLANNING AND CONSTRUCTION

Centre Line Drawing Staircase Details

Sections

DETAILED RESIDENTIAL BUILDING PLANNING AND CONSTRUCTION

DETAILED RESIDENTIAL BUILDING PLANNING AND CONSTRUCTION

Elevations

Compound wall details Structural Drawings

DETAILED RESIDENTIAL BUILDING PLANNING AND CONSTRUCTION

Home Theatre

DETAILED RESIDENTIAL BUILDING PLANNING AND CONSTRUCTION

Electrical Drawings

Bathroom Details

DETAILED RESIDENTIAL BUILDING PLANNING AND CONSTRUCTION

DETAILED RESIDENTIAL BUILDING PLANNING AND CONSTRUCTION

Schedule And Details

Kitchen Details and Views

Of Openings

DETAILED RESIDENTIAL BUILDING PLANNING AND CONSTRUCTION

Electronics and Camera Details

MODELING OF CAB DRIVER CHARACTERISTICS AND ACCIDENT PRONENESS Project type: Academic

Year: 2017

Team Project

Objectives of the study

Analysis- Logistic Regression

Methodology and Observations

To design an “Input-output Model” that can classify any given driver

If the event is “Occurrence of Accident”, then the probability of occurrence is 0.571003.

In addition, the model generates a range of values for the given input which is suggestive of the driver making certain tweaks/improvements in his behaviour and his fit value can range between a minimum lower and a maximum upper.

The investigations were conducted on Cab Drivers operating in the City of Bengaluru. Cab drivers were chosen to be the sample set because of their prolonged exposure to road conditions and traffic. Also, the responses recorded were very uniform with near less anomalies.

Attempt to Reason The Cause of accidents in individuals Exclusive study for Indian drivers who are driving in a Mixed Traffic Condition.

Identification Of Factors that cause accidents for a given class of drivers.

MODELING OF CAB DRIVER CHARACTERISTICS AND ACCIDENT PRONENESS

Results and Conclusions

Future Scope of the Project

P<0.15 = Least Accident Prone 0.15<P<0.35 = Less Accident Prone 0.35<P<0.70 = Moderately Accident Prone 0.70<P<0.93 = Accident Prone 0.93<P = Severely Accident Prone

The project develops a completely different perspective towards the studies of accidents within the cities.

Solidifying the model further expanding the sample size.

Drivers who are relatively new, drive for long times with fatigue and tend to use substances are at a greater risk.

Area specific studies should to be performed for various cities.

DESIGN AND PLANNING OF SUSTAINABLE OFFSHORE AIRPORT IN CHENNAI Project type: Academic (Subject: Green Building Technology)

Year: 2016

1.Passenger terminal Building(Both) 4.Food/Catering 7.ATC Tower 10.Barracks 13.Phone Tower 16.Staff Parking 19.Hanger

Schematic Plan of the Off-shore Airport designed

Team Project

2.VIP Terminal Building 5.Ground Support Equipment 8.Office 11.Sewage Treatment Plant 14.Helipad 17.Parking 20.Apron

3.Cargo 6.Fuel Farm And SCADA control 9.WaterPump 12.Bomb Pit 15.Military Terminal 18.Merto Station 21.BIogas plant

Location constraints •

DESIGN AND PLANNING OF SUSTAINABLE OFFSHORE AIRPORT IN CHENNAI

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Cultural Preservation The sea route between Madras to Colombo which passed about 3-4 km from the shore of Chennai.

Mega Float Concept Rectangular units manufactured (300m X 60m)

Each unit is towed to location

Units connected at an offshore mooring facility

A mega float is obtained

The Runway Orientation: EW, SW-NE, as per the wind rose diagram.

Runway length: 3800m Pavement depth: 2m.

Sustainable Energy Production

Ocean thermal plants (also Supplies Fresh water)

Photovoltaic cells

Rainwater is harvested

Usage of efficient equipment

Sun Path

Waste management Systems

Wastewater treatment (70 LPCD)

Grey water produced is estimated to be 50LPCD

Night soil produced is estimated to be about 40% of grey water

Aerobic treatments using different species of algae and fish.

Up-flow Anaerobic Sludge Blankets are used Biogas can be extracted for minor energy consumptions

Biodegradable wastes

Returning the wastes to the mainland using suitable garbage trucks (1xClass3 or 2xClass2 trucks)

NonBiodegradable wastes

Conversion of the wastes into compost using a consortium of bacteria within 60 days.

Solid waste manageme nt 6000kg

DESIGN AND PLANNING OF SUSTAINABLE OFFSHORE AIRPORT IN CHENNAI

Using passive solar heating, cooling with shading etc.

CAPACITY ESTIMATION FOR CURVED AND STRAIGHT SECTIONS ON MULTI LANE INTERURBAN HIGHWAYS Project type: Research Internship

Year: 2015

Sl. No. 1 2 3 4 5 6

Individual Project

Location

Chainage (km) Weather

NH22 (Ambala to Khab) NH22 (Khab to Ambala) NH22 (Ambala to Khab) NH22 (Khab to Ambala) NH22 (Ambala to Khab) NH22 (Khab to Ambala)

Curved

Direction

61

Fair

Yes

Towards Khab

61

Fair

Yes

Towards Ambala

61

Rainy

No

Towards Khab

61

Rainy

2No

Towards Ambala

61

Fair

No

Towards Khab

61

Fair

No

Towards Ambala

Objectives of the study •

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To carry out the analysis of the traffic flow data on four-lane National highways, in order to develop the relation between speed – flow – density leading to the estimation of capacity of multi-lane divided National Highways(rolling): under adverse weather conditions. in curved and straight sections.

To observe the activities of a bus-bay and an intersection and their impact on the roadway characteristics and also suggest and recommend possible changes in order to increase the capacity and the safety of the vehicles.

Tractor (Tract)

Multi Axle Vehicle (MCV)

Auto (3W)

Two Wheeler (2W)

Bus (B)

Big Car (CB)

Videography method of collection and analyzed using Traffic Data Extractor Software package developed by College of Engineering, Guindy, in Anna University, Chennai

Light Commercial Vehicle (LCV)

Data collection and extraction

Heavy Commercial Vehicle (HCV)

Literature preview Standard Car (CS)

CAPACITY ESTIMATION FOR CURVED AND STRAIGHT SECTIONS ON MULTI LANE INTERURBAN HIGHWAYS

Vehicle Division

Study Methodology

Data analysis and corrections The speed, flow, PCU and densities are calculated using MS Excel, outliers are removed using Box plot analysis in MAT-LAB 2010. Greenshields's model was used for analysis.

Summary Summarizing the results and calculation of parameters like capacities, hourly volume, hourly speeds for the different sections taken.

Observations and Recommendations

Screenshot depicting traffic flow data being extracted using Traffic Data Extractor Software package developed by College of Engineering, Guindy, in Anna University, Chennai

V=Speed Q=Flow K=density (K) Volume = ∑ (PCU value* number of vehicles) Flow = Volume * (60/Interval in minutes)

Observations Location NH22 (Ambala To Khab) NH22 (Khab To Ambala) NH22 (Ambala To Khab) NH22 (Khab To Ambala) NH22 (Ambala To Khab) NH22 (Khab To Ambala)

Weathe Curved r

Capacit y (PCU/Hr)

Free Flow Speed (kmph)

Duration of Data (hours)

Fair

Yes

2130

89.98

1

Fair

Yes

5130

87.36

1

Rainy

No

5940

83.3

5

Rainy

No

3150

82.37

1.5

Fair

No

3950

82.67

6.5

Fair

No

5630

84.73

5.5

Capacity as per US-HCM (2000) (PCU/h/dir)

4000 (per lane capacity of 2000 PCU/h corresponding to FFS of 80 km/h)

Capacity as per IHCM (1997) (lvu/h/dir)

5700 (per lane capacity of 1900 lvu/h)

Capacity as per Mehar et al. (2013) (PCU/h/dir)

6,850 PCU per hour

Capacity as per Bera et al. (2015) (PCU/h/dir)

6086

Recommendations • • •

There should be strict observations on any illegal openings in and around the highways.

There should be a strict rule for trespassers on a one way road.

The sight distance of any one way intersections should be significantly high as the vehicles are moving with a higher speed compared to the traffic in any city. Thus the sight distance can be increased considerably (about 300m).

CAPACITY ESTIMATION FOR CURVED AND STRAIGHT SECTIONS ON MULTI LANE INTERURBAN HIGHWAYS

Highway Capacity Estimation K=Q/V

ART

EXTRA CURRICULARS AND PERFORMANCES

Theatre Art Singing Event Management