Wednesday, March 9, 2011



Imagine you have a sister that is only eating perfect fries. By perfect fries I mean fries that have no rounded edges from the potatoes. Then you need to find a cutter that optimizes its grid for every different potato in order to feed your sister optimal with a given potato. That is what we are going to do for the twist.

construction and concept


concept

WAN discussion:
Is it a social housing project with a stadium as a feature or a stadium with housing? Whats the hierarchy?

It is a social housing project with a stadium as a feature! The field be a public street soccer field for all the kids in the neighbourhoud, very 24/7.

No more new ideas

Architecture consult with Jelle.

All the ideas are here, it's coming together. The new mindset has to be: 'How far can we take this?'

Think about systems for circulation. The circulation for the housing is far developed, the circulation and accessibility for the whole stadium has to be more developed and visualized. Some tricks can be used like retractable fences and movable connection bridges.

For the circulation of the horizontal housing, think of a system that people know where to go to. Maybe with colours..

The stadium is supported by the housing, we have to make sure the image stays like that. This has requirements for the construction. To have a real permeable square and let it look like the stadium is supported by the housing, the thirst ring that can be opened.


Piercing the envelope is nice!


For this Friday we want to have a complete image.



The Slits - New Town

Newtown


Down town


Drop down


Stick around


Feeling down


Might be some coming out


Football colors all around


Dropping PC late at night


Waiting for a fight


Newtown


Newtown where everybody goes around sniffing televisena


Or taking footballina


Newtown


Oh gimme another fix


I I I need another fix


If not I’ll go sick


If not I’ll go sick


I’ll be sick


Newtown

maximize the usable floorspace part2

The usable floorspace is determined by the x and z dimension. Both will have a minimum value.
To calculate the usable floorspace, the floorspace has to be reduced with the parts that do not have the required z(height) or x(depth). For part 1(blue) z rules and then x. For part 2(black) x rules, z is not a problem. For part3(green) x rules, z is not a problem. A small script has to written with these statements to select the floorplanes that have to be calculated. 




making an overview


Tuesday, March 8, 2011

Changing a little BIT...




...reducing random reduce

maximize the usable floorspace.

With all the twisted elements and horizontal floors, a lot of space hasn't got the right height. We want to find the maximal usable floorspace with the help of Grasshopper and Galapagos.

The back entrance...




...looks nice but is tricky...

Monday, March 7, 2011

Computational design...

The arrangement of the dwellings in the slabs will be organised by optimization using grasshopper/geco/ecotect. The initial model is using a couple of parameters that can be changed for each layer.

Divisions along x-axis
Divisions along y-axis
Density

The model is very basic, it can be found here. It creates a isotrim from a loft (the total area). The faces are isolated from the isotrim, and are reduced in a random way, with use of the RandomReduce feature. The density in % gives the amount of the total faces that have to be trimmed. beceause of the randomness, the result is different every time.

2 examples of this model:

And the parameters (config 3 and 4)


The most important result is the Total Density. This gives the percentage of open space. The lower this percentage is, the more economic the result is.

BUT.

The daylight is obviously the big critical factor. So globally our plan is to fix the density, and to find for a given density the most optimal daylight. This modelis unsuitable, because of the randomfactor. The optimization with an evolutionary algorithm doesnt work good, because not all properties of the model are inherited. Some change randomly with every new try. The computer is not able to converge to an optimum because of the noise that the random element causes.

A more sophisticated model is not based on subdivisions any more, but on the number and the size of the connecting streets. It still uses RandomReduce, but the model is done in such a way that an algorithm can be implemented for this function. A result of the new model:



This is interesting, because we need to find an algorithm that is progressive in some way.
Lets suppose that we have a model with only one layer and 9 breps (houses). The layout for the plan looks like this (without streets).
Lets say we want a density of 60% on the ground floor. In that case, 60%*9= ~5 blocks have to be rendered. When we do not use the RandomReduce, 4 blocks have thus to be reduced in another way. Lets use the brute-force strategy. It culls 0,1,2 and 3. It looks like this.
After calculating the result for daylight, it goes on with the next option: 0,1,2,4.


the optimum probably is:


In this case the program will have to try (9 nCr 4) = 126 times to be sure it has found the optimum (correct me if i'm wrong, math's a little hazy now...). In a 3x3 grid it is still possible, but in a 8x4 grid (32 breps, 601080390 possibilities) it is just impossible to calculate it like this.

So in the end we'll have to go back to an genetic algorithm. The first generation is randomly generated, the next generation will have mutation of no more than, say, 10% from the best shots. Right now I have no idea how to do this...whatever I can think of needs a lot of scripting.

Sunday, March 6, 2011

As a result of the urban analysis we decided to use the stadium as literal catalyst for the development of the area at the same time as we provide this new stadium of a nice urban context related to the accesses, circulations and interactions with the new neighborhood.
The formal solution to achieve the goal came from an urban cladding approach following the gesture of the integration housing-stadium. The urban fabric wraps the stadium.
This leads to two main directions in the process to make a coherent design: the functional (from an organization point of view) and the visual (from the skin point of view).


In respect to the skin:

The skin will not only deal with the visual challenge of the gesture but also with the energetic performance.

We can identify some preliminary goals or restrictions for this skin:

1) It should be understood as 1 skin wrapping the building which changes its role in relation to the housing (roof or façade) but always continuous.

2) A transparent skin to allow the maximum of light in the living areas.

3) The subdivision of the skin should emphasize the twisting gesture.



The fact that this urban fabric is considered as a whole should be used in the energetic way as well. We identify the possibility of creating a microclimate under the skin.
We can identify two performances of the skin according to its position in relation to the housing:

1) The horizontal one serving as roof of the low-rise neighborhood. Improving social relations in the outdoor space by creating a more comfortable atmosphere, a microclimate.

2) The vertical one serving as the second façade of the housing.


Both deal with sustainability from the thermal comfort point of view.
To determine in which way the skin deal with the comfort and energy saving we identified two main paths:

1) Using the second skin behavior in winter and summer

2) Focusing on one specific problem: winter

The first option requires a lot of adaptation. When having a transparent second façade, winter comfort can be quite achievable but we have an overheating problem in summer. This problem can be solved through shading the second skin and ventilating the cavity. In this case, the double façade would also be energy efficient in summer but paying a price for it, the transparency. It is important therefore to evaluate the need of the second façade in each situation.
By analyzing the site more carefully, we can see that the overheating problems in summer are not as problematic as in the more inner parts of the city. Because of being next to the water, the evaporative cooling effect takes place.
During the day, the sun heats up more the land because of the lower thermal inertia in comparison to the water. Because of that, the air over the land increases its pressure which provokes a displacement of the high mass of it towards the water. The pressure difference provokes that the cooler air above the water move towards the land provoking a cooling wind which helps to reduce the temperature in the area.
Because of this, it is reasonable to focus the summer behavior in the ventilation of the skin. This way, the natural ventilation of the housing could be achieved in a more direct way.







Winter performance of the skin: microclimate


PERFORMANCE OF THE SKIN: Improving comfort and energy saving in winter, in both the urban and the building scale allowing a maximum of light through it.




Summer performance of the skin: ventilation


ADAPTIVE SYSTEM: Focused on the opening of this skin for maximum ventilation.


Possibilities of the subdivision of the surface:




We can see that the division of the surface in one direction or the other has a lot of influence for the emphasis of the twist.
In the first two examples we can understand the subdivisions as the. The lines can be understood as the generators of the twist. This is not absolutely true because the two curves have different lengths and curvatures, but the gesture is visually emphasized.
The perception of the twist increases proportionally to the number of lines.
In the last two examples, the longitudinal subdivision talks more about the divisions of a given surface The perception of the twist gets more lost the closer the lines come.
From a street point of view, the twist will only be more visible when the surface responds differently to light, which will not really happen with a transparent material.




Possible solution: Transparent strips which can rotate independently achieving an adaptive ventilation.