Paper Session II-C - Automated Military Space System Development and Technology Effectiveness

Not since the end of World War II has the United States military experienced such major changes. The changes are being driven by both internal national factors, and external international Cold War downsizing. The specifics of what the changes are and the explicit forcing factors have been understood for some time. What has not been understood thoroughly, is how the United States military will continue to maintain personnel and hardware effectiveness in such a dynamic environment, specifically amidst a steadily diversifying threat base and declining acquisition budget. Recently, there have been several efforts directly concerned with how the U.S. military space programs must change, i.e., provide more support to the military user with a declining space system acquisition budget. The two most significant efforts were a “Visions Study,” conducted by the Air Force Space and Missiles Center Planning Directorate in Los Angeles, and the “Re-Invent Space” supported by the joint services U.S. Space Command in Colorado Springs. Both studies assessed major paradigm shifts in all aspects of our current approach to conducting the military space business. Many of their findings and recommended areas of needed change are now being pushed forward for consideration by the newly formed Space Architecture office in Washington

Automated space layout planning for environmental sustainability

There is a growing global interest in low/zero carbon buildings in response to the increased CO2 in the atmosphere, nearly half of which comes from building energy consumption. Buildings are built for a considerably longer lifespan and enhancing energy efficiency in buildings can play a significant role in reducing CO2 emissions. Energy efficiency features need to be incorporated at the earliest, as alterations to the design at latter stages may prove to be difficult and sometimes expensive. Building design is concerned with satisfying various objectives (e.g. cost, efficiency of a space layout, energy consumption), which are sometimes in conflict with each other. Performance of various indicators, therefore, needs to be assessed as a whole rather than in isolation. Space layout planning is considered as the starting point of building design. Most performance indicators; i.e. cost, energy efficiency, etc. are closely linked with the layout. Researchers have attempted at automating space layout planning since the 1960s with a view to effectively search the solution space. Diverse approaches are adopted in space layout planning that ranges from the analysis of spatial proximity to the application of ‘space syntax’ theory. Developments in whole building energy simulation and integration of simulation in the design process imply that the search for optimum space layout could be better guided by incorporating detailed-based simulation as response generators as opposed to the ones with a simplified representation of the problem domain. This paper describes a framework for sustainable space layout planning that uses evolutionary computation methods to search the solution space. Whole building simulation programs are used as response generators to guide the search for energy efficient layouts. The integrated approach enables the consideration of energy consumption, in addition to the geometry and topology, for decision making during space layout planning

Physically based mechanical metaphors in architectural space planning

Physically based space planning is a means for automating the conceptual design process by applying the physics of motion to space plan elements. This methodology provides for a responsive design process, allowing a designer to easily make decisions whose consequences propagate throughout the design. It combines the speed of automated design methods with the flexibility of manual design methods, while adding a highly interactive quality and a sense of collaboration with the design. The primary assumption is that a digital design tool based on a physics paradigm can facilitate the architectural space planning process. The hypotheses are that Newtonian dynamics can be used 1) to define mechanical metaphors to represent the elements in an architectural space plan, 2) to compute architectural space planning solutions, and 3) to interact with architectural space plans. I show that space plan elements can be represented as physical masses, that design objectives can be represented using mechanical metaphors such as springs, repulsion fields, and screw clamps, that a layout solution can be computed by using these elements in a dynamical simulation, and that the user can interact with that solution by applying forces that are also models of the same mechanical objects. I present a prototype software application that successfully implements this approach. A subjective evaluation of this prototype reveals that it demonstrates a feasible process for producing space plans, and that it can potentially improve the design process because of the quality of the manipulation and the enhanced opportunities for design exploration it provides to the designer. I found that an important characteristic of this approach is that representation, computation, and interaction are all defined using the same paradigm. This contrasts with most approaches to automated space planning, where these three characteristics are usually defined in completely different ways. Also emerging from this work is a new cognitive theory of design titled 'dynamical design imagery,' which proposes that the elements in a designer's mental imagery during the act of design are dynamic in nature and act as a dynamical system, rather than as static images that are modified in a piecewise algorithmic manner

Automated space layout planning for environmental sustainability

There is a growing global interest in low/zero carbon buildings in response to the increased CO2 in the atmosphere, nearly half of which comes from building energy consumption. Buildings are built for a considerably longer lifespan and enhancing energy efficiency in buildings can play a significant role in reducing CO2 emissions. Energy efficiency features need to be incorporated at the earliest, as alterations to the design at latter stages may prove to be difficult and sometimes expensive. Building design is concerned with satisfying various objectives (e.g. cost, efficiency of a space layout, energy consumption), which are sometimes in conflict with each other. Performance of various indicators, therefore, needs to be assessed as a whole rather than in isolation. Space layout planning is considered as the starting point of building design. Most performance indicators; i.e. cost, energy efficiency, etc. are closely linked with the layout. Researchers have attempted at automating space layout planning since the 1960s with a view to effectively search the solution space. Diverse approaches are adopted in space layout planning that ranges from the analysis of spatial proximity to the application of ‘space syntax’ theory. Developments in whole building energy simulation and integration of simulation in the design process imply that the search for optimum space layout could be better guided by incorporating detailed-based simulation as response generators as opposed to the ones with a simplified representation of the problem domain. This paper describes a framework for sustainable space layout planning that uses evolutionary computation methods to search the solution space. Whole building simulation programs are used as response generators to guide the search for energy efficient layouts. The integrated approach enables the consideration of energy consumption, in addition to the geometry and topology, for decision making during space layout planning

A computer-aided participatory design system.

Thesis. 1975. M.Arch.--Massachusetts Institute of Technology. Dept. of Architecture.Bibliography: leaves 51-52.M.Arch

Selective interference: Emergent complexity informed by programmatic, social and performative criteria

Parametric design tools and visual programming languages are fast becoming an important part of the architects design process. A review of current literature notes that the barrier to entry into the medium is lowering while the power of the tools available is increasing. The purpose of this research is to use these emerging tools to explore complex architectural issues related to space planning and massing. This research aims to bring these aspects of the design process together to generate an architecture where programme and aesthetic are derived in equal measure by the architect and the computer. The project began with a series of technical studies focusing primarily on space planning, massing, site analysis and circulation with the purpose of using an amalgamation of these techniques to develop into a final generative algorithm. These ideas are explored through an open ended design process of iterative research and testing, self and peer review, development and critical reflection. The viability of the algorithm is then tested through the generation a number of test buildings, across variety of sites. In order to provide a direction and author a degree of creative friction within the research process, the projects are framed around the development of a mid-size, urban sited secondary school. The final algorithm provides constraints in such a way that the architecture evolves in a natural, predictable way that can still surprise and inform, as well as consistently producing viable, interesting iterations of buildings. This process, described as an “open box” structure, produced a wide variety of working concepts and provided a high level of control as a designer

Selective interference: Emergent complexity informed by programmatic, social and performative criteria

Parametric design tools and visual programming languages are fast becoming an important part of the architects design process. A review of current literature notes that the barrier to entry into the medium is lowering while the power of the tools available is increasing. The purpose of this research is to use these emerging tools to explore complex architectural issues related to space planning and massing. This research aims to bring these aspects of the design process together to generate an architecture where programme and aesthetic are derived in equal measure by the architect and the computer. The project began with a series of technical studies focusing primarily on space planning, massing, site analysis and circulation with the purpose of using an amalgamation of these techniques to develop into a final generative algorithm. These ideas are explored through an open ended design process of iterative research and testing, self and peer review, development and critical reflection. The viability of the algorithm is then tested through the generation a number of test buildings, across variety of sites. In order to provide a direction and author a degree of creative friction within the research process, the projects are framed around the development of a mid-size, urban sited secondary school. The final algorithm provides constraints in such a way that the architecture evolves in a natural, predictable way that can still surprise and inform, as well as consistently producing viable, interesting iterations of buildings. This process, described as an “open box” structure, produced a wide variety of working concepts and provided a high level of control as a designer