Browsing by Subject "Building information modeling"
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Item Adapting building information modeling (BIM) for affordable & sustainable housing(2010-05) Dowhower, Justin Firuz; Moore, Steven A., 1945-; Briscoe, Danelle; Levy, FrancoisThe purpose of this thesis is to determine if Building Information Modeling (BIM) is an effective means for encouraging stakeholder collaboration throughout the building design/construction process and improving upon affordable and sustainable strategies for infill housing development. The research methodology includes literature reviews, interviews, case studies, simulations, and experimentations. Literature reviews include documentation regarding BIM, housing affordability and policy, sustainable design strategies, and integrated design practice. I conducted interviews with local stakeholders who had participated in local affordable/sustainable housing projects. The primary case study was the Alley Flat Initiative (2003-2010) which I had the opportunity to be involved with in various capacities as a participant observer. Simulations were performed using a BIM software tool to ‘redesign’ the first Alley Flat Initiative prototype and compare design workflows. Finally, experimentation was done involving the instruction of BIM software and exploring its use within an academic design studio environment. The findings indicate four significant conclusions. First, the research suggests that inflated soft project costs (overhead, administration, and services) can be reduced if local city governments were to adopt BIM in conjunction with housing review and permitting processes. In addition, the city could use BIM data to quantify building impacts on energy and resources over time. Second, sustainability innovation can be easier to integrate within a BIM workflow due to the high-capacity of the software to exchange information with third-part analysis tools. One particular barrier that must be overcome, however, are financial barriers due to software and staff training costs associated with BIM technology. Third, BIM requires ‘front-loading’ projects with more information earlier in the design process, which encourages greater transparency and more direct collaboration between stakeholders. A fully leveraged BIM workflow may not be feasible beyond local small-scale architects and builders due to the relatively steep learning curve and higher software costs, but a hybrid approach might be possible depending on how residential construction practices and BIM software development evolves in the near future. And fourth, BIM can make project information centralized, accessible, and long-lasting – serving as a communication and learning tool across disciplines and between expert and non-expert participants. The product of this research includes recommendations for all stakeholder groups engaged in leveraging BIM for affordable and sustainable housing development. Additional related topics of inquiry which fell outside the scope of this research are also included for future investigation.Item BIM deployment : a process to adopt and implement a disruptive technology(2012-05) Hamilton, Timothy Leighton; Lewis, Kyle, 1961-; Nichols, StevenThis thesis determines a process to adopt and implement the disruptive practice and technology of Building Information Modeling (BIM) within the architectural-engineering-construction (AEC) community. Specific areas to address include: 1. Define process, adoption and integration as related to BIM implementation 2. Describe why BIM is a disruptive technology today 3. Identify reactive and proactive BIM outcomes 4. Evaluate and select process options for a specific BIM project 5. Describe the roles and responsibilities of participants, or stakeholders, in the BIM process 6. Identify consistent factors that influence BIM return on investment (ROI) at the project and company levels 7. Communicate the BIM process to management, colleagues and project stakeholders 8. Outline a process for BIM adoption and implementation at the project and company levels. The research methodology includes literature reviews and case studies. This research extends key teachings of the University of Texas at Austin Executive Engineering Management curriculum and gives the reader insight into the adoption and implementation of disruptive technologies.Item Knowledge formalization and reuse in BIM-based mechanical, electrical and plumbing design coordination in new construction projects using data mining techniques(2014-08) Wang, Li, 1987-; Leite, FernandaIn the Architecture, Engineering and Construction (AEC) industry, inadequate collaboration between project stakeholders and disciplines often leads to conflicts and interoperability issues. Research has been conducted in knowledge formalization to bridge the knowledge gaps and information silos. Formalizing construction knowledge is challenging to formalize because most construction knowledge implicitly resides in the minds of construction experts, which is difficult to represent in a formal and explicit manner. The proposed study is built upon previous research findings, and attempts to formalize tacit knowledge in Mechanical, Electrical and Plumbing (MEP) design coordination by capturing necessary information with a model-based information capture system and reasoning about the captured data with data mining techniques. The vision of this research is that the formalized knowledge can be used to provide guidance for early design review incorporating construction considerations, facilitate structured learning from past experience, as well as train novice engineers. In summary, this research has three main contributions. First, this research presents a formalized knowledge representation schema to capture process knowledge in design coordination, which was successfully implemented in a model-based knowledge capture system developed by the author. Second, a model-based knowledge capture system was developed to store clash information in the form of categorized features and link such categorized information directly to the relevant model elements, which can also facilitate organization and management of clashes and supports searching and grouping functions. A prototype system was developed as a plugin to a widely used BIM-based design coordination application and was demonstrated with project data gathered from three new construction projects in the United States. Third, this research applied data mining techniques for knowledge discovery and reuse in MEP design coordination. Classification models were developed to provide predicted solutions for identified clashes based on historical data. The classification algorithms that produced the best results were selected, which reached precision rates of over 70%. The effectiveness of the classification models was tested in a novice experiment.