Generative Architecture

I found a project by Joel Simon called Evolving Floorplans (via Kottke) which is all about the algorithmic generation of floorpans, specifically in reference to a school design. Evolving Floorpans is the first time I have seen a clear visualisation of an algorithmic architectural design, it’s quite beautiful.

Firstly I should note I’ve no experience in the writing of code such as for the alogorythm that Joel wrote and only an interest in the experimental zone of 3d architecture printing, so having said all that some observations;

Just programming for efficiency of circulation gave a remarkably ‘organic’ plan structure but maybe this is not be surprising given how things are designed ‘bottom up’ in the natural world.

The plans, optimised for traffic flow didn’t translate at all for classroom use, building usability or internal legibility. Square up the classroom sizes a bit and use something that errs towards more modern classroom layouts like joined classrooms etc and lab spaces. The structure was not addressed, and we probably shouldn’t kid ourselves that new structural materials or techniques will either come soon or deliver greatly enhanced results than right now. The hierarchy of the room types could also be factored in, ie. the gym and cafe of larger volume, environmental site factors accounted for. Joel already understands much of this though,

‘The metrics could be expanded to include terrain maps, sun paths, existing trees and other environmental input, allowing the buildings to be highly adaptive to their context. The physics simulation could force certain boundary shape constraints.’

Conclusions

If developed further this could easily inform outline design and progress until some baselines and agreements in the basic design have been set. It could provide very soon a tool to help the design team and Architects, how much further it could go I don’t know.

Links

Thread on reddit/architecture

Cities are not Computers

We must also recognize the shortcomings in models that presume the objectivity of urban data and conveniently delegate critical, often ethical decisions to the machine. We, humans, make urban information by various means: through sensory experience, through long-term exposure to a place, and, yes, by systematically filtering data. It’s essential to make space in our cities for those diverse methods of knowledge production. And we have to grapple with the political and ethical implications of our methods and models, embedded in all acts of planning and design. City-making is always, simultaneously, an enactment of city-knowing — which cannot be reduced to computation. -Shannon Mattern, “A City Is Not a Computer,” Places Journal, February 2017. Accessed 31 Jan 2018. https://doi.org/10.22269/170207

Declad one

‘Declad’ doesn’t have an official meaning exactly, but tentatively it could mean to remove cladding, to literally de-clad, which I want to make a good metaphor for this website. There are many Architecture news blogs but fewer which look behind the glossy renderings and photographs and look for a context in this most context dependant area. So declad is trying to remove the outer layer, to look beyond the quotable image, to find the best and worst (they are the most interesting categories after all) and look more closely at them.

Also we are in a really interesting time for Architecture in culture. This is already evident in writing about technology and Architecture. In Technology blogs, editorials in the Verge more and more intrude on Architectural subjects, Gizmodo has recently hired Geoff Manaugh as chief editor, on the other side of the divide Domus devotes increasing space to technology. We live in a truly exciting time where the division in these subjects has blurred, technology will transform the subject and the practice of Architecture, even its meaning. Having been blogging haphazardly now for quite a few years I thought I could take these basic insights focus it and give it its own legs…….let’s see what happens.