A decision analysis tool for building renovations regarding adaptive reuse

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University of Alabama Libraries

Renovation projects are an important part of a building’s life cycle and are performed for a variety of reasons, including adaptive reuse which can vary in scope and size. They are also prone to unexpected issues which can lead to costly changes. This can be exacerbated by arbitrarily choosing the renovation space. The renovation project may waste time, money, and effort and lead to a space that does not meet the needs of the user.A better understanding of a project’s scope earlier in the development process helps to identify renovation spaces that meets users’ needs with less need for renovation. This leads to the selection of a renovation space that reduces construction by minimizing the impact to existing systems. This benefits everyone involved in the renovation process. This dissertation presents an improved approach to minimize the impact of adaptive reuse by providing a decision analysis tool to help select the space for renovation. The tool provides information to help reduce the arbitrary nature of selection. The decision analysis tool allows users to select a space that minimizes the impact yet fits the renovation needs. The tool provides an exhaustive search of room combinations with room areas and shape, and impacts to building system and current room usages. The information is provided to users in a format that is easy to filter and sort. The tool addresses some of the deficiencies of earlier methods such as providing misaligned room selections. By providing the fit of the room shape users can choose the space that best fits the needs of the renovation. The tool also minimizes the need for user input, which has been an issue for previous approaches. User inputs do not require an extensive knowledge of the tool or general building information. The tool uses building information and renovation standards from The University of Alabama in the decision analysis. The research incorporates existing buildings on The University of Alabama campus to help ensure adequate historical information is available for validation. In the future, any building could be analyzed by the tool as long as the necessary information is available.

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Civil engineering