AECbytes "Building the Future" Article (November 29, 2005)
Academic Research in Architectural Computing
Back in the days when I was doing my Ph.D.
in Architecture at UC Berkeley, I sometimes
met practicing architects who were surprised
that there even was something like a Ph.D.
in Architecture and that someone would actually
bother doing it. But architecture is as
much of a social and cultural phenomenon
and a science as it is a professional activity,
and in many universities across the world,
there have been long-established research
programs that study different aspects of
architecture such as history, social and
cultural factors, building science, material
science, and design theory. With the advent
of computers in the 1970's, a new area of
research opened up for architectural academics:
how computational technology can better
assist the design process. Since then, many
innovative ideas in architectural computing
have been explored by academic researchers
including generative design systems; precedent-based
design tools; evaluation and analysis tools
for all aspects of building design, including
"soft" criteria such as form, habitability,
circulation, etc.; tools for capturing design
intent; and so on.
Even the concept of a building data model,
as in BIM, is not new. It has, in
fact, been the Holy Grail of architectural
computing research right from the mid-'70s,
when the earliest attempts were made to
develop integrated design systems that could
support a suite of applications capable
of operating together rather than just individually.
A single building model was the central
piece around which such integrated systems—dealing
with all aspects of design, construction,
and facilities management—could be built,
and several models were developed for prototype
systems by different research teams. It
is interesting to see some of these ideas
finally make it to commercial tools used
by practitioners.
Many more interesting ideas are still being
explored in architectural computing research
at universities around the world, and at
least some of them will be translated into
commercial tools in the not-too-distant
future. It should be of interest to practitioners
to know more about what these ideas are,
so that they can be better prepared for
future technological developments in the
field and embrace them more readily. In
this "Building the Future" article, AECbytes
explores the architectural computing research
being pursued at four leading universities
around the world. It is the first in a periodic
series of articles that will look at computing
research not only in architecture, but also
in engineering and in construction.
Georgia Tech, USA
Prof. Chuck Eastman of Georgia Tech is
one of the academics with the most visibility
in the industry, and under his guidance,
a wide variety of research activities are
being pursued in the College of Architecture
at Georgia Tech, with many of them making
it to commercial development. A prominent
example of this is the CIS/2 standard,
which is widely deployed in the steel fabrication
industry (see the recent AECbytes article,
The
CIS/2 Format: Another AEC Interoperability
Standard). Georgia Tech has been contracted
by the AISC (American Institute of Steel
Construction) to support the deployment
of CIS/2 as well as provide technical
support, testing, tutorials, and point upgrades.
Georgia Tech is also working on another
related effort, the harmonization of CIS/2
with IFC, the other leading interoperable
product model in the AEC industry (see Figure
1). The work involves identifying "use cases"
where there is a clear need for IFC and
CIS/2 to interoperate, providing
extensions to both IFC and CIS/2
so they can interoperate for the specified
use cases, and develop a translator that
supports exchange for the specified use
cases. (For more on the IFC, see the AECbytes
feature, The
IFC Building Model: A Look Under the Hood.)
Figure 1.
Harmonizing the IFC and CIS/2 product
models. (Courtesy: Georgia Tech)
Another significant project that Georgia
Tech has been involved in is the development
of a new precast concrete 3D parametric
modeling system, in collaboration with Tekla,
a Finland-based CAD company, and the Precast
Concrete Software Consortium (PCSC). Georgia
Tech contributed to this project in many
ways, including development of the process
modeling technology that allows automatic
capture of information flows and derivation
of the supporting product model, developing
the diagramming methods for domain experts
to depict parametric model design behavior,
coordinating the development of industry-wide
parametric modeling specifications as well
as specifications for the top-down multi-functional
parametric model design tool, and defining
the detailed product specification and review
of final product release. The first commercial
version of this product was released in
August, and the first precast projects designed
with it are now being constructed (see Figure
2).
Figure 2 .A
snapshot of the tool developed by Georgia
Tech for the precast concrete industry.
(Courtesy: Georgia Tech)
Other projects include developing methods
to reduce the development time of product
models from the current 5-10 years to 1.5
years or less; relational database implementation
of product models like IFC and CIS/2,
the Intellectual Property rights for which
were sold for exclusive use in the steel
fabrication industry in 2004; developing
the import and export modules for exchanging
structural analysis data between a 3D modeling
system and structural analysis packages
using IFC; developing new user interface
guidelines of complex 3D CAD systems for
a CAD company; and developing the practices
and advancing the tools for Product Lifecycle
Management (PLM) in the construction industry.
A recent initiative at Georgia Tech, in
response to the industry's transition to
BIM (building information modeling),
is the AEC Integration Laboratory, which
will serve as a center for activities such
as assessing emerging workflows, testing
systems for scalability and robustness,
and preparing a new generation of construction
IT technologists. One of the additional
projects being pursued under the framework
of this laboratory is effective design for
fabrication (DFM), an example of which is
shown in Figure 3.
Figure 3 .A
snapshot of the tool developed by Georgia
Tech for the precast concrete industry.
(Courtesy: Georgia Tech)
And finally, Georgia Tech also has a strong
interest in computational building simulation,
with a dedicated research group involved
in projects such as understanding building
ventilation and using CFD (Computational
Fluid Dynamics) tools effectively for improving
health and quality of indoor environments,
developing a Building Performance Assessment
Toolkit, risk analysis of indoor air quality
and mold growth in buildings, and an automated
space layout tool that meets the optimum
design requirements and maximizes design
quality in terms of design preferences.
Eindhoven University of Technology, Netherlands
The Eindhoven University of Technology
is one of the leading institutes pursuing
architectural computing research in Europe.
One of its long-standing research interests
is Design & Decision Support Systems (DDSS)
for Architectural Design and Urban Planning.
Within this broad area of emphasis, it is
pursuing several specific research projects,
some of which are described below.
Multi Agent Systems for Cooperative
Design: "Multi Agent Systems" are modular,
independent and autonomous software programs
as opposed to traditional, "monolithic"
software development, and are especially
promising for distributed work environments
with loose hierarchical structures. This
research project explores the potential
of Multi Agent Systems for use in architectural
design and the building process as a whole,
assisting designers to easily get information
related to a particular design task and
to automatically offer solutions to design
problems. Based on information that is harvested
from different local and remote resources,
new strategies for solving design problems
are proposed to the user by individual agents.
User Simulation of Space Utilization:
The aim of this project is to develop a
method to simulate how space is utilized
in order to provide reliable data on human
movement for performance evaluation (see
Figure 4), instead of the assumptions that
are currently made about people's movement
through space and their responses to the
environment. These assumptions are input
for important design decisions (e.g., capacity
of elevators, width of corridors, escape
routing, etc.) and sophisticated calculations
(e.g., lighting simulation, airflow simulation,
evacuation simulation, etc.).
Multi Agent Model for Network Decision
Analysis: This project aims to develop
a multi-agent model for simulating pedestrian
activity and movement patterns. Movement
is simulated using a grid and steering behavior.
Variability is introduced by superimposing
agents, with their specific agenda, environmental
knowledge, beliefs, and choice heuristics
and scripts. The results of the simulation
are visualized in a virtual reality environment.
Computational Representations of Words
and Associations in Architectural Design:
This project explores design support through
the use of words, in particular by means
of offering verbal associations based on
the annotations written by the architect.
The hypothesis is that this will lead to
increased creativity of the design and reduced
fixation in design process, since architects
use many kinds of representations in the
early design phase such as sketches, marks,
images, and annotations. Annotations, in
particular, provide additional information
about the design that can not be captured
by the other representations.
Figure 4 .An
example of the space utilization simulation
project applied to an auditorium design.
(Courtesy: Eindhoven University of Technology)
The Eindhoven University of Technology
was also closely involved in the development
of the Building Management Simulation Centre,
a new training centre in the Netherlands
for construction management (see Figure
5). Unlike traditional construction management
training, it does not take place in practice
but in a high-tech environment in order
to have maximum control over the training
circumstances and to collect as much data
as possible about the trainee, during the
training. The Centre consists of a virtual
building site, a (real) site hut for the
trainees, and a control room. A new course
system was also designed which intermediates
between the trainee, the trainer and the
building site. A central role in the course
system is played by so-called transitions,
which are composed of activities that have
to be performed by the trainee. An activity
is fulfilled by entering web-based forms
with the right content and in the right
order. Interaction with the trainee is also
established through actors that interrupt
the planned flow of activities. After a
training session, the system can reproduce
all actions that were taken; it can show
the consequences for the building and present
the construction management performance.
The Centre is being used by several architectural
and civil engineering schools.
Figure 5 .The
simulation hall in the Building Management
Simulation Centre. (Courtesy: Eindhoven
University of Technology)
RMIT University, Melbourne, Australia
Architectural computing research at RMIT
is pursued in the Spatial Information Architecture
Laboratory (SIAL), which is a broad multi-disciplinary
center that seeks to integrate technological
developments in areas such as multimedia,
sound scape systems, mechatronics, computer
graphics and interfaces, materials technology,
manufacturing processes, collaborative virtual
environments, animation, computer games,
virtual reality facilities, GIS, and online
environments. It is associated with all
areas of design at RMIT, combined with social
and cultural studies.
Not surprisingly, a wide variety of research
projects in diverse areas are pursued at
SIAL. Some key projects from an architectural/construction
standpoint are Flexible 3D Modeling, which
uses CATIA to create flexible (associative
geometric) computer models for design and
links these to physical modeling and prototyping;
Atmosphere, which explores the use of game
engines as a dynamic design media supporting
new forms of representation; Eureka, which
explores nonlinear systems for presentations,
encouraging the presenter to navigate freely
through multimedia assets allowing fluid
contextual narratives to emerge; and Re-engineering,
which explores cross-disciplinary design
collaboration between architects and engineers
using high level parametric design techniques.
The research pursued at SAIL has been applied
to many real-world projects, including the
Shoal Fly By series of public art for the
Melbourne Docklands precinct; a new footbridge
to provide access to the development of
the St Helier waterfront area on the Island
of Jersey; and the Australian War Memorial
in London (see Figure 6).
Other notable SIAL projects include a combined
design studio with MIT School of Architecture
and Design and Gehry Partners; a multimedia-based
design decision support environment for
students, researchers and practitioners;
investigations into the ontology and representation
of design; and interpreting Gaudí's drawing
for the Passion Façade design for construction
during the coming years. The laboratory
also acts as a creative think-tank accessible
to both local and international practices,
including Arup in Melbourne and London,
dECOi in Paris, and Gehry Partners in Los
Angeles.
Figure 6 .Examples
of the application of SIAL research to real-world
projects. Top: The first sculpture in the
Shoal series. Middle: The complex 3-dimensional
geometry of the arched Jersey footbridge.
Bottom: The curved stone wall of the Australian
War Memorial in London, in which every piece
of stone is a different shape. (Courtesy:
RMIT)
University of California at Berkeley,
USA
The focus of computer-aided architectural
design research at UC Berkeley is on two
related topics: studying the theory and
practice of creative, multidisciplinary
collaboration and developing digital means
that can support and enhance it; and exploring
the impact of digital technologies and telecommunication
on the practice and products of architecture.
The interest in collaboration arises from
the reality of architectural design as a
social activity, in which the expertise
of many professionals is needed to complete
even the most trivial building. The research
focuses on understanding how these professionals
collaborate, and finding computational means
to assist them. This includes the development
of shared product models that can serve
as means of high-level communication among
the participating professionals, and the
development of collaborative design environments
where the participants can come together
virtually, as needed, even when they are
separated spatially and temporally. My own
Ph.D. research (described briefly in the
following section) was an example of a shared
product model, while other examples include
the Cube Game, an application that allows
different professionals to collaborate in
the design of single family houses, and
virtual places, the digital equivalent of
physical venues that can support a multitude
of human activities where collaboration
among design professionals can be explored.
Virtual place-making is also being used
to explore the affordances of cyberspace
for collaborative social and professional
action, based on principles drawn from architecture,
film, philosophy, social sciences, and more.
Two areas have been chosen to focus the
research efforts: education and cultural
heritage. The choice of these areas was
partly informed by the needs of each one
and the opportunities offered by cyberspace,
and partly by the availability of grants
and collaborations with others on and off
campus. According, virtual learning environments
have been developed to demonstrate that
the practice of place-less learning, also
known as "remote education"—which separates
students from their peers and from the context
of the educational process and transforms
the learning experience into an exchange
of the learned content alone—can be improved
by incorporating architecture's place-making
principles. In particular, it would be of
value when the content of the learned material
was consistent with the context of its learning,
such as in the study of historically significant
environments—ancient cities and villages
that no longer exist and, therefore, cannot
be physically visited. Accordingly, models
were developed of the city of Cairo in the
11th century (see Figure 7), of a Neolithic
village in Turkey that existed 9,000 years
ago, and more recently of 7th Street in
Oakland, California, as it existed in the
1950s, when it was the Jazz capital of the
Bay Area and the cultural hub of its African
American society.
Figure 7 .A
virtual model of Cairo in the 11th century
(top), and the same model being virtually
visited by students from UC Berkeley to
learn about its cultural heritage. (Courtesy:
UC Berkeley)
This interest and research focus has lead
UC Berkeley, over the past 3 years, to establish
a new inter-disciplinary center, called
the Center for New Media (CNM), for exploring
the implications of technology on many disciplines
who, under the typical administrative structure
of academic departments and colleges, are
too isolated from each other to be able
to consider the issue in a cross-disciplinary
manner. The Center includes about 90 faculty
affiliates from 31 departments on campus,
serves some 250 students each year, engages
in multi-million dollar research activities,
and organizes 6-8 events per year. The explicit
intent of the Center is to understand the
effect of computing technology (broadly
defined) on culture and society, and to
pass on that understanding to students who
must learn to operate within this fast evolving
reality. To support such knowledge acquisition
and transfer, a new Designated Emphasis
and Graduate Group in New Media has been
established, where Ph.D. students from every
department on the Berkeley campus now have
the opportunity to study and pursue research
in this area.
Conclusions
My own Ph.D. research work at UC Berkeley
was focused on developing a data model that
represents, in an integrated fashion, both
the spatial and structural components of
the building so the same model can be used
to plug in architectural-analysis tools,
structural-analysis tools, and tools that
can evaluate the synthesis of space and
structure. It was aimed primarily at the
schematic design phase, where the most crucial
design decisions are made and the need for
design support is the greatest. I implemented
a working prototype of this model, comprising
a simple 2D graphical editor for drawing
both the spatial and structural components
of the building, and query functions that
read the input file generated by the editor
and automatically retrieve the geometrical
and topological information about the building
from it that would be needed by tools evaluating
different aspects of the building design.
An apartment design evaluator supported
by the system was also developed as proof
of concept. The link to existing commercial
evaluation tools was demonstrated by automatically
deriving a building geometry input file
from the system for DOE2, a sophisticated
energy-analysis application.
While I am delighted to see some of the
ideas that I explored in my research in
today's BIM tools, some other capabilities
in my prototype solution are still not available
commercially. Similarly, there are many
other relevant ideas out there in the research
community that have still to see the light
of day. This calls for a better synergy
between university research and industry
implementation in the building industry
and the technology industry that supports
it. In other fields of engineering and computer
science, both technology and its implementation
are very advanced compared to technology
for AEC primarily because of the close ties
between universities and the industry. We
need to replicate this in the AEC industry.
Academics doing architectural computing
research should not remain content to develop
their theories and concepts with no regard
to implementation; at the same time, the
industry needs to be more aware of and sponsor
research work in architectural computing
at universities and implement those concepts
and ideas into tools for the profession
at large.
Acknowledgments
My sincere thanks to all these researchers
and faculty members for their help with
this article: Prof. Chuck Eastman and Prof.
Godfried Augenbrow of Georgia Tech; Prof.
B. de Vries of the Eindhoven University
of Technology; Andrew Maher and Chi Sung
Foo of RMIT; and Prof. Yehuda Kalay of UC
Berkeley.
About the Author
Lachmi Khemlani is founder and editor of
AECbytes. She has a Ph.D. in Architecture
from UC Berkeley, specializing in intelligent
building modeling, and consults
and writes on AEC technology. She can be
reached at lachmi@aecbytes.com.
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