The genesis of this project is rooted in an exploration of the possibilities for Computational Fluid Dynamics within an architectural paradigm. Essentially, this project questions our current perception of water/other Fluid substances and whether there is room for their application to an architectural problem. Fluids have many properties which make them a very interesting material to work with, properties such as its ability to retain volume, or the way it conforms to fit a vessel of any shape, so this became my primordial concern – how can the adaptive nature of a fluid manifest itself and transcend the way we presently think about buildings. form, and space?
So when the adaptive nature becomes our primary concern, a lot of other spin offs become possibilities. If a building could be made of liquid, this really begins to interrogate several things fundamental to our established ideas of architecture. Form is no longer permanent, in fact form is no longer an adequate way to describe the resulting state of matter. We are no longer bound to site, an adaptive building needs no fixed location – a fluid building could just as easily exist on land as it would in the water. The programme of the building as well is almost unnecessary, as any requirements for the building can be made on the fly.
So what this project is really creating is a system. A system of architecture which operates completely unlike anything we have ever seen before. So how does this system work? How do we garner any control over Fluids? In order to achieve this, we need to use a specific kind of Fluid, one which can be moulded indirectly, one which can respond to field conditions, the solution lies in a specific category known as Smart Fluids. Smart Fluids rely on a change in field strength (be it electric or magnetic) in order to create a form of sorts. A special kind of Fluid called Ferrofluid is a magnetically charged Fluid which can be shaped by a given magnetic field, so now the problem becomes how do we shape the magnetic field so as to control this system.
The Mag Suit V3 is a feat of engineering. Powered by a wireless energy adapter on the back of the suit, the suit is a magnetic field generator. Essentially, when a human is wearing this suit, they become an integral part of the magnetic field, due to the electromagnetic device which they are now wearing. In order to interact with the building, one must wear this suit. The suit generatres enough magnetic field strength in order to create a magnetic network strong enough to shape the smart Fluid which the building is comprised of. The suit has four main magnetised areas, two at the base of the feet, and two at the hands. The wearer of the suit is hence able to block out the shape of the building for a temporary amount of time as well as add finer detail articulation to the surface using hand gestures. Sensors on the chest region of the device also give information about the building; number of occupants, proximity to other individuals, and suit information such as the current emitting strength of the magnetic field or any warnings they need beware of. The Mag Suit V3 also comes with three fail-safes – two batteries to store energy from the wireless receiver, and an emergency battery as well.
And herein lies the bulk of the proposition. My project suggests that people will be fitted with a suit, which, when activated, essentially turns their person into a node of a greater magnetic field.
As an individual tracks along, the Fluid will respond accordingly, creating a space or volume around them. However this becomes a lot more interesting when the magnetic fields of different individuals interact with each other, creating an interference pattern of sorts in a three dimensional space.
The different magnetic polarities and their relative proximities serve to define an entirely different experiential quality to the space. Furthermore, each individual will have control over the strength of their own magnetic field and poles via the wearable device attached to their palm.
Now of course, the magnetic field which has been created does exist indefinitely, in fact the magnetic field will hold for only brief amounts of time, relying on residual magnetism in the field to allow the particles to hold until they are disturbed again or until the residual magnetism wears off. What this also entails is that when no one is occupying the building, the matter which creates it will slowly but surely reside into its ‘rest state’ until it is further re-agitated.
Computational Fluid Dynamics allow us to digitally simulate and solve complex interactions between tens or even hundreds of millions of particles in order to predict their behaviour from moment to moment so that we can understand how they will react to a certain circumstance or how we should adapt our environment based on those results. This incredibly powerful system is still largely unexplored in the realm of archictectural significance, so what benefits could this system bring to architecture and how does it react to contemporary architectural practice? What if we could literally make a building out of water or a Fluid? Fluids have many properties which make them a rather unique genesis. It is possible to quantify the veloctiy, vorticity, viscoscity, surface tension, compressibility (or lack thereof), stability, elasticity, etc. of a fluid. But the most obvious properties of a Fluid are its ability to retain volume, and its ability to conform to the shape of any vessel, and hence its true adaptability. If we could harness control over the way Fluids behaved, then immediately the formal possibilites become limitless, but moreover, our definition of space and borders becomes nothing more than mere guidelines of a past reality. If we could control the Fluids, architecture would no longer be bound to shape, site, scale or programme. And herein lies the ultimate question – How do we gain control over a Fluid? Because that is what we strive for as part of the human condition, control over every domain of our lives. So why should architecture define me? Why can I not define the architecture?
I continued doing simulations in Maya trying to garner a bit more control over the system. Although Maya 2015 doesn’t have a viscosity attribute, I was able get some more cohesion in the liquid simulations by controlling gravity, particularly in some of the latter images.
What becomes more important now is trying to understand what exactly the aim is with these simulations in respect to architecture. When we think of fluid forms in architecture, we immediately associate it with flowing curves or waving spaces. But fluids can represent so much more. There are so many properties that we as architects do not even consider. Velocity, vorticity, viscosity, surface tension, compressibilty (or lack thereof), stability, elasticity, etc. So how can these begin to expose themselves in architectural framework?
What if we began to look at fluid collisions to define space and movement. Fluids can either pass right through each other or collide and negate each other, and these could represent moments of interaction within. Beyond that, bundling and interacting of fluids could define a structural system, the more bundling we have – the greater the connection.
The most prevalent idea of a fluid however is its movement. A fluid does not hold its position for long or even short periods of time. So what we are really talking about here is a very dynamic flavour of architecture, but where is the line drawn between dynamism and pure representation? Can a building really evolve over time as a fluid does? These are the questions that I will be trying to answer moving forward.
For our tech project this semester we had to design a concert hall in Tokyo. Our group envisioned the concert hall as a building that would appear to peel away from the ground. This form would be used to redirect the prevailing winds over itself, and allow reverse flow back into the building. The concert hall would hence be buried underground and we could use an extensive green roof over the top of our form to employ further cooling and thermal mass strategies.
For the facade, we decided to use a diagrid panelisation method with horizontal pivot windows to employ a passive cooling strategy. Our structure is held up with structural concrete columns around the street frontage and glulam beams to support the roof structure. Inside the foyer, a suspended bar is accessed via a grand spiral staircase. But inside the concert hall, the roof provides a very pleasing aesthetic for theatre goers.
The images below are our presentation boards of the design concept and the sustainable strategies.
Here are my presentation boards for my final outcome. For an overview of the entire process, click here. For a brief explanation, follow along.
In a nutshell, my project worked with a process called reaction diffusion. A process which is generated by mixing Bromium and an acid. In doing so, the chemicals interact to form incredibly mesmerising patterns. and these patterns formed the basis for generating an architectural form.
The resulting architecture was something which exhibited a growth-like aesthetic, forming a coral-like looking structure. The benefit to using reaction diffusion for this process was the amount of variation that could be achieved by ever so slightly adjusting certain parameters in the initial set up. The final output, perhaps lacked architectural definition, but there is certainly a wealth of other possibilities that could be afforded to us by further exploring the possibilities of this phenomenon.
This project was all about the process of reaction diffusion. My key question moving through this project was:
How can the process of reaction diffusion inform architectural design?
My final pin-up for this semester of design.
In order to explain this there are several fundamental elements that need to be explained, for starters, here is what reaction diffusion looks like:
So what is reaction diffusion? In a nutshell, reaction diffusion is a physical process which exhibits wave-front like motion based off an initial seed of points inside a closed system. However it exhibits a very interesting property (which was discovered by the Russian Scientists Beloussov and Zhabotinsky in the 1950’s) in that when wave-fronts meet, they do not add together to form a superposition, but rather nullify eachother, creating a void space.
Secondly, Stephen Wolfram defined a system called classes of complexity which explains the level of organisation that a closed system will reach on its own accord. There are four classes in this definition:
Class 1 – patterns evolve into a stable equilibrium
Class 2 – Most of the patterns evolve into a stable or oscillating state – most of the randomness is filtered out, but some remains
Class 3 – patterns begin to evolve in a seemingly random manner, localised noise filters out much of the initial randomness
Class 4 – patterns reach extreme complexity, but remain in a state of perpetual evolution. The patterns which emerge are never fully resolved.
Reaction diffusion exists in a class 4 capacity according to Wolfram’s system, and it was this notion that provoked my interest in the idea of dynamic stability. Particles in reaction diffusion systems move in and out of patterns, to quote Brian Goodwin, “If [the system] moves inot the chaotic regime, it will come out again in its own accord, and if it strays too far into the ordered regime it will tend to melt back into dynamic fluidity where there is a rich but labile order, one that is inherently unstable and open to change.”
Thirdly, the results of a reaction diffusion process exist in a boundary known as the uskate world. The above graph is an illustration of what the outcome will look like based on two values, F – the Flow rate of particles (the vertical parameter), and k – the kill rate of particles (the horizontal parameter). This ultimately means that reaction diffusion processes are deterministic, the process is not arbitrary and the results will conform to an expected outcome.
So the first thing I started working with was reaction diffusion in a 2D system (see above, or earlier post). Immediately this created a strong sense of an architectural language, almost forming a plan with discernible void spaces and passages, but I really wanted to push it further.
The above images show how I was able to get reaction diffusion working in a 3D system, so now I could simulate 3D wave-fronts. This process however did not lend it self extremely well to architecture as it tended to create very tight and closed off results.
However I did find a region of the uskate world (F = 0.0140, k = 0.0450) in which the result really began to open up and became more suitable for architectural purposes (above). And I also did some 3D prints of these as I thought having these in the tangible form could inspire something more (below).
At this moment, the process changed dramatically. Up until now, I had been working with the hope that the architecture would emerge from the process I was carrying out, but ultimately, I would have to move in manually and examine the the spaces on my own.
So next, I tried to extract individual moments inside the 3D reaction diffusion blocks that I thought had more architectural potential, and then out of that, cataloged the better results (above). However, I felt this moved too far from what reaction diffusion actually represented, as I would have to composite these elements which I found into a greater structure, and it would no longer be representative of that process.
So I moved back to the 2D forms. and found an interesting occurrence in that the individual 2D layers of reaction diiffusion could be stacked up to create a 3D extruded form like the ones shown above. Below are two animations which describe this process in 2D and the latter the translation into a 3D form.
This lent itself to architecture better than a lot of the other things I’d tried, forming a natural canopy like structure that could be experienced as a courtyard upon entry into the building. Furthermore, an interesting result was the surface articulation that resulted from this method. After doing an investigation into the different kinds of surface articulation provided by this method, I settled on the one pictured below. For me, it represented the process best, giving the impression of growth and an almost coral-like appearance.
I really wanted this to manifest itself inside the building too, and I did this in two ways. The first was how the space was created inside.
In the plans I tried to form a closed perimeter which did not intersect with any of the reaction diffusion matter. I then used this perimeter line to excavate everything inside it, leaving behind a cleaner resulting space. Interestingly, this method does not create a closed shell, but it creates one completely continuous form.
The other thing I did was to extrude some of the reaction diffusion matter through the lower floor, creating raised elements all over the plan which people would need to negotiate as they navigated the building.
And lastly, I left some reaction diffusion matter fully extruded through to the top floor in order to create some spatial division, and also to designate where my spa pools and changing rooms would be placed.
So what did the critics think?
Overall, the project was good, but the final output was somewhat lacking. Naturally, with a paper called processing, my focus for a lot of this semester was on how far the process could be pushed. This for me meant that I did not put enough emphasis on the architectural side of things and it was indeed quite rushed. This is where a lot of the criticism lay. I had done a lot of iteration with the raw form, but not nearly enough for different architectural arrangements.
However that said, the critics felt that despite having done a lot of form finding over the semester, there was still a lot more that could be done with a process of this kind. This of course they recognised as a time constraint of the 12 week semester, but it would be interesting to see where this could end up if I were to continue it.
One idea that I’m interested in that was suggested by one of the critics was to observe what would happen if ‘obstalces’ were to be included in the simulation in processing. These obstacles could be the spatial definition, and then the reaction diffusion matter could be grown/simulated around these objects. This would almost certainly be better than going into the model later on and attempting to post-rationalise the spaces that I would want to create.
The hardest part without a doubt, in working with reaction diffusion has been to try and extract an architecture out of it. The difficulty came in several places. Firstly, towards the end of my experiments, the result was often very high in its polycount, with some of the meshes being in excess of 6 million polygons, because of this, the main programs I’d worked with to date, namely 3ds max and rhino couldn’t cut into the geometry very well, with the results often failing, so I had to try something else.
I ended up having a brief tinker with zbrush, which proved to be far more effective with high polycounts, but also allowed me to reduce the polycount by almost 95% while still maintaining a good geometric representation. Furthermore, I was able to use zbrush to cull away interior structure inside the reaction diffusion model, here’s the result.
The trouble I have with this option is that the result is extremely untidy, and it takes away a lot from what reaction diffusion is actually supposed to be, furthermore there is no methodology behind it, and lastly, the renders really don’t come out great at all.
Getting into the final stages of this project, I’m trying to find a form to settle on. Having learnt how to manipulate the seed generation of the reaction diffusion model, here’s an attempt to bring the programme directly into the model.
I like the cone shapes that this model produces, however it looks too similar across the whole set, so I need to work out how to increase the variation. But I can begin to imagine the lighting condition that would result on the interior of these forms, especially with light streaming through the openings at the top and down the sides. The program translation needs a bit more work though.
There were a few means by which I imagine reaction diffusion can ‘successfully’ translate into ‘architecture’.
The first is to look at reaction diffusion for the architectonics it provides, the spaces, the archways and passages, the windows and levels, and then to manually merge these together into a form of my choosing. The reaction diffusion system is far too unpredictable to be able to extract a direct architectural form out of it. This method tends to reject the parametric approach however, which I’m not entirely sure I want to do. However the 3D system does create some of the more interesting and variable elements.
The next method is to look at reaction diffusion as a series of linkages. Because reaction diffusion creates differentiable and regularly occurring bands of matter, these can be interpreted as a set of pathways which flow through the entire space. Furthermore, the wavefronts which are produced by a reaction diffusion system do not form superpositions, ie. They don’t add together, rather they always cancel each other out. Because of this, the passages and channels that occur are completely continuous through the entire form, creating a large complex maze-like network. If I try to simplify this, then the essence of reaction diffusion is lost. I would also like the aesthetic of reaction diffusion to transfer into the architecture.
Thirdly, up until now, I’ve always been looking for ways to dissociate the box that the reaction occurs in from the geometry it produces, as this bounding box tends to regularise the output to an extent. However, perhaps the box can be used in another way. Instead, we could took two opposite facing walls from the simulation and used that as a means to ground the form. The benefit of this is that it produces a connection between the form and the ground, and while it creates quite an imposing form, it works better than simply placing the form on the site. This could lead into creating a series of networks of boxes with the reaction diffusion forming canopies and spaces between the planes.
Alternatively, I did discover some moments of architectural possibility in the original extruded reaction diffusion models I’d done. By changing where the chemicals seed from and the rate of diffusion, it becomes possible to capture canopies and moments where spaces open up. Although this was an early discovery, this was shifted to the back of my mind while I tried to push the other possibilites such as the 3 dimensional form, but this is where I have been coming back to in recent times.
Earlier on, I was working with an open source platform called ready, which could produce 3D reaction diffusion models (earlier post), and what I realised shortly after was that it didn’t directly translate into architecture very well. After trying several things, earlier on in the week I posted some results which pulled out particular sections of these models to inspect them, these are the original untrimmed meshes that I was working with. What is evident here is the complexity of the models and the almost unusability of them for any form of architecture. But as I discussed previously, there definitely were certain moments in these where glimpses of architecture could be seen, but ultimately, this remains as part of the process that will likely be unrealised and terminated at the 3D printing stage.
Last week I got to work on creating a catalog of hundreds of possibilities of extracting architectural quality from a reaction diffusion model. The catalyst for this was a good find in the u-skate world. I found a lower subset of the reaction which in my mind seemed to have a lot more architectural possibility in it due to the large spaces that opened up inside of it. (Found in the Grey Scott Model at F = 0.0140, k = 0.0450)
Here is the catalog I produced for the presentation. In it, I’ve tried to rationalise specific sectional cuts of the input models into the different architectonics they could possibly represent:
The hope in doing this was that it would give me a clearer grasp on the architectural possibilities available inside this container of ideas, and that I could make attempts to composite some of these variations into an architectural solution. The only problem I have with doing this is that it takes away from the purely logical process which we’re working with in my current design paper, and becomes a more manual process.