S.ARCH 2021
The 8th International Conference on Architecture and Built Environment with Architecture AWARDs
A DATA-DRIVEN HYBRID LANDSCAPE INFRASTRUCTURE – Sara PEZESHK, Shahin VASSIGH
Topic: T5 Built Environment
Abstract
This paper describes a solution to protect the coastal areas from the impacts of climate change
including rising sea levels, extensive coastal erosion, frequent flooding, and depopulation of
marine species. The paper presents a project that provides a sustainable approach for the
design of a protective modular system to create resilient shorelines using digital technology,
sustainable material, and innovative manufacturing technique. The aim is not only to control
coastline erosion but also to collect sediment, filter stormwater runoff, and increase
biodiversity.
The methodology used for developing the module in the data-driven hybrid landscape
infrastructure is based on an algorithmic workflow inspired by the inherent code of nature. In
addition, it uses collected multilayer environmental data sets and climate data, including wind
velocity, water turbidity levels, and solar radiation.
During the project development, several prototypes were produced using additive and
subtractive manufacturing methods. The material selection is prioritized, in order to minimize
greenhouse gas emissions and improve marine life habitat. The composition will be evaluated
for its performance against wind and water forces as well as its overall effect on the existing
marine wildlife ecosystem.
Keywords: Data-driven Landscape, Algorithmic workflows, Robotic fabrication, and Resilient Infrastructure