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Briggs, B (2021) An improved earned value management method integrating quality and safety, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Chokwitthaya, C (2020) A framework for augmenting building performance models using machine learning and immersive virtual environment, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

  • Type: Thesis
  • Keywords: accuracy; effectiveness; uncertainty; artificial neural network; building design; building performance; immersive virtual environment; learning; neural network; machine learning; simulation
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/2665132699
  • Abstract:
    Building performance models (BPMs), such as building energy simulation models, have been widely used in building design. Existing BPMs are mainly derived using data from existing buildings. They may not be able to effectively address human-building interactions and lack the capability to address specific contextual factors in buildings under design. The lack of such capability often contributes to the existence of building performance discrepancies, i.e. , differences between predicted performance during design and the actual performance. To improve the prediction accuracy of existing BPMs, a computational framework is developed in this dissertation. It combines an existing BPM with context-aware design-specific data involving human-building interactions in new designs by using a machine learning approach. Immersive virtual environments (IVEs) are used to acquire data describing designspecific human-building interactions, a machine learning technique is used to combine data obtained from an existing BPM, and IVEs are used to generate an augmented BPM. The potential of the framework is investigated and evaluated. An artificial neural network (ANN)-based greedy algorithm combines context-aware design-specific data obtained from IVEs with an existing BPM to enhance the simulations of human-building interactions in new designs. The results of the application show the potential of the framework to improve the prediction accuracy of an existing BPM evaluated against data obtained from the physical environment. However, it lacks the ability to determine the appropriate combination between context-aware design-specific data and data of the existing BPM. Consequently, the framework is improved to have ability to determine an appropriate combination based on a specified performance target. A generative adversarial network (GAN) is used to combine context-aware design-specific data and data of an existing BPM using the performance target as guide to generate an augmented BPM. The results confirm the effectiveness of this new framework. The performance of the augmented BPMs generated using the GAN-based framework is significantly better than the updated BPMs generated using the ANN-based greedy algorithm. The framework is completed by incorporating a robustness analysis to assist investigations of robustness of the GAN regarding the uncertainty involved in the input parameters (i.e. , an existing BPM and context-aware design-specific data). Overall, this dissertation shows the promising potential of the framework in enhancing performance of BPMs and reducing performance discrepancies between estimations made during design and in performance in actual buildings.

Delatte, G (2014) The effects of three dimensional modeling on labor productivity through enhancing visualization of craft workers in the industrial construction industry, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Dunlap, C D (2012) A safety elements model for the building construction industry, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Ittmann, J T (2020) Liability of the structural engineer: Establishing, quantifying, and managing risks, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Jadallah, H (2021) Educational theory-embedded training for construction industry professionals, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Joukar, A (2016) Analysis and management of the price volatility in the construction industry, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Kereri, J O (2020) The effects of relational and social behaviors exhibited by construction project team members on relationship quality and project outcomes, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Mojahed, S (2005) A project improvement system for effective management of construction projects, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Monko, R J (2015) Interorganizational collaboration and systemic change framework for building information modeling (BIM) adoption, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Nimbarte, A D (2009) Modeling the risk factors associated with the neck disorders during manual material handling tasks, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Orooji, F (2015) Risk-based wind loss and mitigation for residential wood framed construction, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Payne, A S (2021) Impact of personality traits and team criteria on construction team performance, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Pecquet, C F (2013) Measuring safety climate as an indicator of effective safety and health programs in the construction industry, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Rogers, B W (2010) It's not just about the buildings, it's about the people: Architecture practice, and preservation in post-Katrina New Orleans, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Trahan, G N, Jr. (2009) A comparison of the effectiveness of two alternative instructional strategies for teaching basic construction surveying concepts, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

Weldu, Y W (2016) Automated generation and visualization of initial construction schedules from building information models, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.

White, J A (1964) Determination of income and financial reporting for long-term construction-type contracts, Unpublished PhD Thesis, , Louisiana State University and Agricultural & Mechanical College.