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SUMMARY:SMART LIVING LUNCH | Structural Design Space Exploration through t
 he generation of variant networks of bars in static equilibrium\, using gr
 ammar rules and interactive genetic algorithms
DTSTART:20210622T110000
DTEND:20210622T120000
DTSTAMP:20260407T020852Z
UID:7ab4cea9435c83a2bea839475ae87228868cc3d76287ec72abfaf42d
CATEGORIES:Conferences - Seminars
DESCRIPTION:In this Smart Living Lunch titled “Structural Design Space E
 xploration (DSE) through the generation of variant networks of bars in sta
 tic equilibrium\, using grammar rules (GR) and interactive genetic algorit
 hms (IGA)”\, Ioannis Mirtsopoulos (SXL\, EPFL) will present selected res
 ults from his PhD thesis. Follow the online presentation on 22 June 2021 f
 rom 11:00 to 12:00. Link on demand.\n\nArchitectural design only represent
 s a tiny subset of the design space and it is often constrained by prematu
 re design fixation and lack of diversity and/or creativity. The exploratio
 n of variant structural forms is constrained by the lack of computational 
 tools that unveil structures in static equilibrium\, which are liberated f
 rom precedent structural typologies. The generation of bespoke networks of
  bars in static equilibrium during the early conceptual design is crucial 
 for the design of unconventional structural forms.\n\nIoannis Mirtsopolous
  has developed a design pipeline free of numerical design variables\, that
  implements a rule-based design approach to generate new\, unexpected\, bu
 t valid\, (structural) networks of bars. The grammar rule is applied incre
 mentally\, blindly regarding the design domain and specific structural typ
 ologies\, and builds the network’s topology impulsively\, namely transfo
 rms it\, while aiming at the transition from a state in interim static equ
 ilibrium to one that is in global equilibrium. Its syntax builds on vector
 -based graphic statics\, embeds structural awareness and ensures the netwo
 rk’s static equilibrium throughout the transformations. The grammar rule
 ’s exploratory power is amplified through its fusion with interactive ge
 netic algorithms. Rather than pre-defining the properties of the successiv
 e grammar rules\, variant design features ruling the incremental transform
 ations are applied\, while searching for optimized structural networks. At
  the end of each transformation (step)\, the generated (intermediate) desi
 gn variants are compared based on qualitative (i.e. aesthetics) or quantit
 ative (i.e. static action\, number of joints\, number of members etc.) cri
 teria. The developed computational tool operates in the parametric environ
 ment of Grasshopper.
LOCATION:
STATUS:CONFIRMED
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