Smortr > Shylesh kumar >Built with Speed
Smortr > Shylesh kumar >Built with Speed
The AEC industry needs to build an average of 13,000 buildings everyday through 2050 and the current design and construction techniques need to be transformed to achieve the throughput.
Location: Nochikuppam, Chennai, India
Year: 2022
Status: Academic
Sector: Architecture
Typology: Infrastructure
Scope/Role: Designer
Area: 15 Acre
Nochikuppam is an urban slum situated at the end of the Marina beach which houses more than a thousand families, most of them belonging to fishing occupation. This was one of the communities that were hit hard during the 2004 Tsunami and the 2015 floods. It is an area plagued by problems.
Most of the families living in this area have been dependent on the sea for their livelihood and a displacement to Perumbakkam would mean that they will have to find some other means of livelihood.
On various considerations such as population, growth density and future masterplan we shortlisted a 15 acre plot in Patinapakkam, Chennai to propose our idea.
Visual connection with the sea
This is an important contextual and functional criteria, were in maximum number of houses should get view of sea.Green pockets
This demand is derived from SDGs, wherein these green spaces acts as urban farming for community's self sustenance.Sustainable buildings
Climate responsive buildings are not just energy efficient they also nurture the occupants' heath and well being.Business center
Integrating the businesses near the residence not only increases the productivity but also the self-reliance of the community.Cool buildings
The site is near the sea and has abundant opportunity to reduce the need for air conditioning through strategic orientation and placement.We developed a computational design model that carefully analyzes different parameters of a specific site and national/state level data and policies which are then processed to generate an optimized building module. Some of the parameters we used were building by laws, land use type, site characteristics, climatic aspects, cadastral data, space program.
The above-specified parameters generate multiple design iterations. The fittest and optimized building design options are presented to stakeholders to make better decisions based on its functional and aesthetic performance.
Current AEC Workflow
Analysis
Time needed: 10%
Design
Time needed: 25%
Decision Making
Time needed: 10%
Physical Manifestation
Time needed: 50%
Habitation
Time needed: 5%
Proposed AEC Workflow
Data Collection
––––––––––––––––
Computational Optimization
Time needed: 10%
Data-Driven Selection
––––––––––––––––
Physical Manifestation
Time needed: 50%
Habitation
Time needed: 5%
Shylesh Kumar
(he/him)
Computational Designer in Catalonia
Interested in generative design, computational geometry, machine learning, new media, and game design. With a broad experience with Architectural Sustainability and the integration of parametric 3D modeling and simulation tools into the process, I have worked on projects at various scales - from buildings to planning, and have been involved in research and education programs.
Smortr > Shylesh kumar >Built with Speed