Series
Doctor of Philosophy with a Major in Building Construction

Permanent Link
https://hdl.handle.net/1853/72547
Series Type
Degree Series
Description
Associated Organization(s)
Associated Organization(s)
Organizational Unit

Filters
2019 - 2019 1 2020 - 2022 1
2
2
2
Reset filters

Settings
search.filters.applied.f.advisor: Castro-Lacouture, Daniel × Item Type: Publication × search.filters.applied.f.isSeriesOfPublicationTitle: Doctor of Philosophy with a Major in Building Construction ×

Publication Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Product Model Exchange Standards for Cast-in-Place Reinforced Concrete: Implementation Methods, Value Considerations, and Application to Design Indicators
    (Georgia Institute of Technology, 2022-04-27) Garcia Bottia, Leonardo
    Building Information Modeling (BIM) has changed the way information in design and construction is communicated by allowing the possibility of exchanging project models and data together. To optimize the process, standards have been developed to define what is required in each exchange and how to represent it. For several years Cast-in-Place (CIP) reinforced concrete (RC), one of the most important construction materials worldwide, has been subject to considerable efforts toward the development of its standards. However, the monolithic nature of the material and its complex supply chain makes it difficult for this development to be properly carried out. This dissertation presents the results of a study with four key aims: (1) identify how exchange standards for CIP RC fit into current engineering and construction practices, (2) develop the requirements and methods for implementation, (3) study the value considerations of implementing the standards in practice, and (4) apply the information available in exchange standards to enhance the design and construction processes through the estimation of design indicators. This research is developed in the context of the undergoing efforts of the American Concrete Institute (ACI) to develop industry-wide standards for CIP RC concrete. To map the current engineering practices and challenges regarding CIP RC model exchanges, the dissertation presents the results of an ethnographic-action study performed to allow a description of current behaviors, the acquisition of qualitative data regarding the advantages of implementing BIM standards on a practical level, and to inform of potential additional requirements for standardization. To assist the implementation of standards in practice, this dissertation presents a set of methods for implementation that adapt to current tools and practices. To study the value considerations of implementing exchange standards, the same CIP RC processes captured in the ethnographic study are reproduced using the methods developed for model exchange standards. Finally, the study presents the results of a logistic regression model developed to use the parametrized information made available through these exchanges, to estimate indicators that improve the design and construction processes. In conclusion, this research provides recommendations to further develop CIP RC modeling and exchange standards, studies how design and construction practice aligns with new CIP RC standard workflows, provides methods for implementation, and develops a model useful to predict design indicators during early stages using the valuable information embedded in CIP RC exchange standards.
  • Thumbnail Image
    Item
    Decision support system for the integration of sustainable parameters in single-family housing project delivery
    (Georgia Institute of Technology, 2019-07-26) Tijo, Silvia Juliana
    The implementation of sustainable practices in building construction has a direct impact on the financial, environmental, and social dimensions of sustainable development. Powering and heating buildings consumes enormous amounts of energy, and the residential and commercial building sector remains the largest end-use sector for energy in the U.S. The fact that actual energy consumption of this sector is two-fifths of the total energy consumption in the United States represents a significant economic opportunity for the country. In spite of the progress in performance and affordability of sustainable technologies, materials, and systems, the residential sector is behind in adopting these in single-family homes. Several building aspects must undergo evaluation under a holistic approach to achieving the technical and economic success of the project, but the fragmentation of the industry and the required expertise level for using existing simulating tools represent a barrier for this purpose. In residential projects, the selection of design and construction parameters occurs mostly during the early stages of the pre-construction process, while the majority of the building simulation tools require information from late stages of the process. During the early stages, the designer cannot easily predict the impact of decisions on building performance and cost. Furthermore, existing methodologies do not integrate project goals in early stages (i.e., pre-design, conceptual design, and schematic design) of the pre-construction process. Without these methodologies, selecting sustainable parameters for housing delivery and implementing sustainable principles is difficult, and consequently jeopardizes reaching sustainable goals for the building. The result of this research is a decision support system (DSS) that uses the analytic hierarchy process (AHP) and system dynamics (SD) to assist decision makers in the selection of construction parameters for sustainable housing. The proposed DSS integrates a set of project goals in the process of selecting alternatives, allowing a balance between the preferences of the decision maker and the solution that better fits those preferences. The approach focuses more on using DSS to support design exploration rather than finding optimal solutions. Given the iterative nature of the design process and the fragmentation of the construction industry, the proposed DSS provides information about costs, duration, and environmental impact of the alternatives at early stages of the project development. Therefore, an objective comparison of different design alternatives under identical conditions can take place, and the decision maker can learn from the effects of new decisions over other parameters that are interrelated. The outcomes of the research can help developers, architects, and home-owners to define sustainable parameters at early stages of the project delivery when the impact of their decisions is higher, and the cost of implementing changes is lower than in the later stages.