Biological architecture is outstanding and desirable. It takes into consideration the natural issue hence bringing out the beauty in each and every biological design. For instance, Self-organizing Biological system's architecture is one lovely architectural design that if actualized could mesmerize the world with its organic design. The above project developed by progressive architecture known as Arthur Azoulai and Melody Rees. The two base their sketch on the study of morphology that covers a broad spectrum of circulating forces and movement. The two architectures designed the format by feigning self-organizing biological systems. The layout employs natural shapes yet focusing on spatial connections and formal qualities. At its crucial essence, the project bases on an infrastructural system that operates as a receiver and link-up for recognized architectural designs (Temel, 2011). Besides, the essential continuity of the entire system as topological surface permits for the development of highways, streets, interstitial interior space, as well as scenery and landscape. Below is the biological architectural design.
In lieu of the above, incorporating imbricating structural sustenance systems, the joint tectonics make available a web of circulation routes for perambulators, bikers, cars and trams. Besides, it adds importance on momentary pavilion spaces, as, for instance, transitory food markets and time-share housing (Doursat, Sayama & Michel, 2013). Consistently, the adaptive abilities of the infrastructural surface permit the building structures and the site form an organic semiotic bond where the building effortlessly develops from the land based underneath. The above architectural design is accentuated as the evasive biological charisma of the merging biological architecture of Puerto Rico. Therefore, this project enunciates newly recognized associations and interstitial space while as well deliberating on the possibilities of the existing instance in San Juan, Puerto Rico.
Temel, T. (2011). System and circuit design for biologically-inspired intelligent learning. Hershey, PA: Medical Information Science Reference.
Doursat, R., Sayama, H., & Michel, O. (2013). Morphogenetic engineering: Toward programmable complex systems. Berlin: Springer.
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