Improving Design Development
Jonathan Mirtschin and we recently co-authored an article in the Taiwan Architects 2011.07 magazine. Below the original article in mandarin and english.
also featured in the article academia work by 4th year students Benjamin Ennemoser and Philippe Grotenrath. University Innsbruck/Austria exparch.hochbau 2011.
As performative design concepts become more accessible to
designers, we will see more analysis tools being developed
for the design process. As we establish methods for understanding
surface-based-analysis, we will be moving into volumetric-base-
analysis.
Generative tools such as Grasshopper3d (Robert McNeel Associates)
and Maya (Autodesk) are being utilized to explore architectural
projects and inform design decisions with increasing popularity.
However, rapidly produced multitudes of options will not be
utilized to full potential if entire design team assessments take
days or weeks to fulfil. To maximise the potential of these tools,
teams must efficiently assess multiple objectives and criteria,
to seek optimal solutions. Utilizing the generative information
model as input to analysis and simulation tools (including structure,
services, environmental, construction programming and
cost assessments) can facilitate superior design decisions.
This article outlines and demonstrates software developments
enhancing Grasshopper3d as a generative design tool for the
architecture and construction industry. Additional functionality
enables designers to assign attributes of design elements that can
be utilized in exporting the information model for wider design
consideration. Present industry practises where multiple models are
independently created require consuming efforts in updating and
coordinating. Duplicated, abortive and redundant design efforts
are rife, and given the time consuming nature of these tasks,
the potential to improve and assist these procedures is enormous.
There is scope for substantial improvements for this process in the
earliest phases of design, when identifying the strongest concepts
can have the greatest impact on the final product and the least
constraint is experienced to change.
Structural Analysis
Generative modeling for developing structural analysis models has been prevalent for years, primarily in the
form of authoring spreadsheets. Geometrical description using imports
such as DXF or DWG cad models have also been used extensively,
although this process typically requires manual application of
analysis attributes not supported such as constraints, materials and
loads. Evaluation of performance relating to alternate design scenarios
is accelerated by producing in bulk the structural analysis attributes
as related to the generative model. This is shown for the 3-dimensional
proximity truss structure as a Structural Analysis with
Geometry Gymplugin for Grasshopper and Oasys GSA
Building Energy Analysis
Ecotect is a highly visual software for architects to work with
environmental performance issues. It is designed for early stages of
conceptual design, and encourages play to understand environmental
factors and interactions. Ecotect works on the principle of
“progressive data input”, that means that it is prepared to give
visual feedback even with very little information. Not all aspects
of a scenario have to be spelled out in detail.
In fact the simulation can be done earlier, and as the model is refined,
results become more accurate.
GECO is a Grasshopper plug-in developed by [UTO] that offers a direct
link between Rhino/Grasshopper models and Ecotect.
The Plug-in allows you to export complex geometries very quickly ,
evaluate the design in Ecotect and access the performances data, to
import the results as feedback to Grasshopper.
This could be done as single process or loop to improve performance
and the design of a building in the context of its environment.
The single results of the process could be saved inside Rhino in the
vertices of the analysis mesh to store data
for later use inside different design approaches.



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