This project investigated the performance of two separate building types, designed using ASCE 7-05, using the analysis procedures from ASCE 41-06. The results from the ASCE 41-06 analyses were compared to the expected performance level of Life Safety to determine the adequacy of the ASCE 7-05 design. ASCE 7-05 is intended to result in designs that perform to a Life Safety performance level regardless of the building type. A design using the AISC specifications for a steel Special Moment Frame and the lateral loads from ASCE 7-05 resulted in a building that slightly exceeded an Immediate Occupancy performance level for the BSE-1 Hazard Level. In comparison, a design using the AISC specifications for steel Special Concentric Braced Frame resulted in a building that performed to a Collapse Prevention performance level for the BSE-1 Hazard Level.

abstract: The poor energy efficiency of buildings is a major barrier to alleviating the energy dilemma. Historically, monthly utility billing data was widely available and analytical methods for identifying building energy efficiency improvements, performing building Monitoring and Verification (M&V;) and continuous commissioning (CCx) were based on them. Although robust, these methods were not sensitive enough to detect a number of common causes for increased energy use. In recent years, prevalence of short-term building energy consumption data, also known as Energy Interval Data (EID), made available through the Smart Meters, along with data mining techniques presents the potential of knowledge discovery inherent in this data. This allows more sophisticated analytical tools to be developed resulting in greater sensitivities due to higher prediction accuracies; leading to deep energy savings and highly efficient building system operations. The research explores enhancements to Inverse Statistical Modeling techniques due to the availability of EID. Inverse statistical modeling is the process of identification of prediction model structure and estimates of model parameters. The methodology is based on several common statistical and data mining techniques: cluster analysis for day typing, outlier detection and removal, and generation of building scheduling. Inverse methods are simpler to develop and require fewer inputs for model identification. They can model changes in energy consumption based on changes in climatic variables and up to a certain extent, occupancy. This makes them easy-to-use and appealing to building managers for evaluating any general retrofits, building condition monitoring, continuous commissioning and short-term load forecasting (STLF). After evaluating several model structures, an elegant model form was derived which can be used to model daily energy consumption; which can be extended to model energy consumption for any specific hour by adding corrective terms. Additionally, adding AR terms to this model makes it usable for STLF. Two different buildings, one synthetic (ASHRAE medium-office prototype) building and another, an actual office building, were modeled using these techniques. The methodologies proposed have several novel features compared to the manner in which these models have been described earlier. Finally, this thesis investigates characteristic fault signature identification from detailed simulation models and subsequent inverse analysis. / Dissertation/Thesis / M.S. Design 2013

This thesis re-examines the implications of skin as an architectural analogy. The metaphor of skin has a long history o f usage in architecture, particularly regarding the building enclosure system. This thesis focuses on the role o f the built skin as a place of interaction between the inside and outside, rather than a simple physical barrier. Through an examination of the structure and functions of human skin and building enclosures I investigated issues o f permeability in the design of a center for cartographic research in Miami Beach. I explored layering and interdigitation as strategies for controlling the passage of air, light and views across boundaries at different scales.

Thesis (B. Arch.)--Massachusetts Institute of Technology, Dept. of Architectural Engineering, 1907. / Accompanying drawings held by MIT Museum. / Sam A. Marx. / B.Arch.

Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Architectural Engineering, 1923. / by Ernest N. Gelotte & Robert T. Colburn. / B.S.

Thesis: B.S., Massachusetts Institute of Technology, Department of Architectural Engineering, 1936 / William L. Timmerman. / B.S. / B.S. Massachusetts Institute of Technology, Department of Architectural Engineering

Thesis: B. Arch., Massachusetts Institute of Technology, Department of Architectural Engineering, 1923 / Includes bibliographical references (leaf vi). / Robert Wales Reno. / B. Arch. / B. Arch. Massachusetts Institute of Technology, Department of Architectural Engineering

Thesis: B.S., Massachusetts Institute of Technology, Department of Architectural Engineering, 1935 / Accompanied by charts in a folder. / by William J. Bates, John J. Ostlund. / B.S. / B.S. Massachusetts Institute of Technology, Department of Architectural Engineering

Tidigt i utformningsprocessen måste arkitekten ta flera viktiga beslut som direkt påverkar slutresultatet. Byggkostnad, energieffektivitet, hållbarhet såväl som arkitektoniska kvalitéer riskerar att fallera ifall arbetet baseras på en utformning som har grundläggande problem. Ett sätt att hantera denna svårighet är att skapa ett datorverktyg som ger arkitekten indikationer på hur byggnadens utformning påverkar dess prestanda. För att undersöka denna möjlighet har en modell som parametriskt genererar byggnads-utformningar och beräknar dessas prestanda tagits fram. Prestandabedömningen sker inom tre huvudsakliga kriterier: byggkostnad, energiförbrukning och dagsljusinsläpp. Resultatet av detta arbete validerades därefter genom en bedömning av modellens användarvänlighet och dess potential som verktyg i utformningsprocessen. Det visade sig vara möjligt att programmera en sådan modell. Då de genererade utformningarna inte har fullgod detaljeringsgrad kan dock inte resultaten användas för bedömning av den slutgiltiga byggnadens prestanda med tillfredsställande säkerhet. Som underlag för jämförelse mellan olika utformningsförslag är däremot funktionaliteten god och tillfrågade inom byggbranschen uttryckte ett intresse kring arbetet. / Early in the design process, the architect must take several important decisions that directly affect the end result. Construction costs, energy efficiency, sustainability as well as architectural qualities are likely to fail if the work is based on a design that has fundamental flaws. One way to handle this issue is to create a computer tool that provides the architect indications of how design affects the performance of the building. To investigate this possibility, a model that parametrically generates building designs and calculates their performance has been developed. Performance assessment is conducted within three main criteria: construction cost, energy consumption and daylight. The result of this work is then validated by an assessment of usability and its potential as a tool in the design process. It proved possible to develop such a model. The level of detail in the generated designs are not adequate to provide results of the building's final performance with reasonable confidence. However, as a basis for comparison between different design proposals functionality is good and the respondents in the construction industry expressed an interest in the work.

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