Monday, November 2, 2009
Sunday, November 1, 2009
Position: 1+3
The power of form-finding algorithms already employed to organize social networks, manage databases and model biologic conditions needs to activate new architectural techniques. Negotiating the boundaries of site, program, and physics inherent to a stadium in southwest London provides extensive and intensive sources that must be related and structured. A commitment to creating input –sensitive software and code ties the design of a stadium typology to local and transient information and self-stopping and optimizing methods.
Monday, October 5, 2009
Two Recent Stadiums
The 2014 Olympic Stadium in Sochi, Russia, by stadium design behemoth Populous.
Thursday, October 1, 2009
Monday, September 28, 2009
1 [and] 3 [and] 9
The power of form-finding algorithms already employed to organize social networks, manage databases and model biologic processes needs to activate new architectural techniques. Negotiating the boundaries of site, program, and physics inherent to a stadium in southwest London provides myriad input that must be related and structured. A simultaneous feeding-back of data across scales can produce a space more directly engaged with the experience of the spectator.
Increasing the capacity of Craven Cottage presents an opportunity for the stadium to address site conditions, connect with the surrounding community, and provide additional facilities for the club. The funneling of pedestrians from transportation centers and pubs, through the adjacent neighborhood and park, and to the turnstiles can be re-organized by examining flow-paths and disruptions. Blurring the line between stadium and community allows for additional functions to activate the ground and connect to the river. Exploring the performance of seating configurations and enclosure creates new formal
potentials. While these issues may seem disparate, a process led by feedback and simultaneous calculation will expose hybrid solutions. In order to "repair the rift between the materiality of tectonic structure and the sensuousness of human experience"(1), the success of these solutions relies on the algorithm’s ability for self-similar and self-stopping transformations. Fractals, branching, and other self-similar forms allow for continuity and articulation across a variety of scales. Tying these systems to gravity, cohesion, or other self-stopping methods reintegrates abstract models into a real environment. The experience of an architecture emerging from the negotiation of external and internal forces establishes a continuum between place, spectator, and event.
(1) Spuybroek, Lars. The Architecture of Continuity. Rotterdam: V_2 Publishing. 2008
Tuesday, September 22, 2009
Reading #3: How to Define an Urban Site
In a more architectural context, Lars Spuybroek speaks of an architecture of continuity. Drawing his definition from Charles Sanders Pierce, he states that: "Continuity is part of real things, and therefore things are necessarily vague, since they are one and many at the same time". For Spuybroek, this has immediate architectural consequences: "There is a decisive difference between a fold and a corner. A fold in a piece of paper, for instance, doesn't interrupt the continuity of the surface, but with a corner, both surfaces just end there; at that point it becomes a nonelement, not even a part. Corners are where architecture is at its deadest." Instead of corners and discrete pre-defined elements, NOX's architecture is one of weaving, bundling, an interaction between line and surface. The relationship between architecture and "context" can work similarly, acknowledging an absence of edges, and embracing continuity.
Site Analysis: Craven Cottage
Monday, September 14, 2009
Reading #2: The Muses are not Amused
Willfullness or "intuition" will always be part of the architect's process, but sometimes it lies deeper than putting pencil to paper. In computer science, the programmer is constancely weighing algorithms against other algorithms that produce the same result: while one is faster, it is also more memory intensive, etc. Here, intuition lies in the negotiation of these factors. Architects encounter similar issues all the time: an optimal use of materials may not be cost effective, a structural system may conflict with spatial configuration. This is where the muse comes in, the metaphor or the computer program or history may help you answer seemingly arbitrary questions as well as intuitive conflicts.
Sunday, September 13, 2009
Sketch #3: Making something
Monday, September 7, 2009
1 + 3 + 9
Material Processing: Self-starting, Self-stopping Architecture
The potential of automated computing rests not in autopoiesis, or self-generation, but in the simultaneity, flexibility, and interconnectivity of the systems created. While form-finding algorithms can transform data sets into novel instances of structure, space, and experience, this process will never be free from an initial ‘willed’ construct. Instead, the goal remains to relate more closely to the human condition, now increasingly associated with theories of emergence, continuity and complexity.
Architecture must rely on simultaneous processes of generation in order to achieve continuity. Scripting techniques of recursion, feedback loops, and conditional statements allow for continuously calculated differentiation and interaction across a variety of scales. A self-starting method can begin by gathering and organizing relevant data from a number of sources both intensive and extensive: material properties, programmatic flows, environmental conditions, building codes, etc. When algorithms translate these relationships into form, in order for the output to be useful, it must be self-stopping. This allies with the principle of emergence: A set of relationships begins at equilibrium, gains new information, and then reorganizes itself to find a new equilibrium. Frei Otto’s ‘material computing’ experiments exhibit this phenomenon, but only explore one factor of the system: the structure. A simultaneous program will create feedback across organization systems both performative and experiential, finding-form through negotiation and translation.
This experiment can be tested through the design and exploration of an architectural project: A framework of electric refueling stations along the Pennsylvania Turnpike.
Monday, August 31, 2009
Sunday, August 30, 2009
Response to "How to Draw Up a Project" by Jose Luis Mateo
In citing possible dangers to the process, Mateo argues that projects need ideas that do not restrict formal explorations. My professor last semester would reiterate a similar sentiment: Don't let the project become a building too soon. In Mateo's first two steps, a "phantom" pairs with structural logic. For me, the "phantom" is the set of potential relationships between users, environment, and context that the project must content with. The structure is not the physical members tasked with overcoming the force of gravity, but a framework of decisions that organize space. The interaction and feedback between data (the phantom) and decisions (the structure) produces the hierarchy, rules, and specific geometry necessary for defining space, skin and physical structure. The architectural process is then about gathering data of various types (environment, program, occupancy, codes, etc) and coupling them with analytical tools and form-finding algorithms that translate data into workable architectures.