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Dissertation
Evaluation of Building Envelope Performance including Uncertainty and Degradation within a Multi-Objective Optimization Framework
Doctor of Philosophy (Ph.D.), Drexel University
Mar 2019
DOI:
https://doi.org/10.17918/00000071
Abstract
Predicting building envelope behavior over time can be difficult due to the uncertainty and complexity of the environment, materials and processes that influence heat, air, and moisture (H. A. M.) transport through the assembly. While the variability in outdoor weather's impact on H. A. M. analysis for envelopes has been studied over one-year prediction periods, long-term multi-year predictive simulations have not been well studied. Similarly, degradation and material variability are known to impact long-term envelope H. A. M. behavior, yet there has been limited documentation on predictive studies that integrate these areas into a useful framework to inform a design process. Thus, the primary objective of this dissertation is to create a novel method of determining probabilistic distributions of envelope moisture behavior outcomes that also includes variation from degradation, so that the results can augment decision frameworks for building envelope design.
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Details
- Title
- Evaluation of Building Envelope Performance including Uncertainty and Degradation within a Multi-Objective Optimization Framework
- Creators
- Daniel Haeyoung Chung
- Contributors
- Jin Wen (Advisor)
- Awarding Institution
- Drexel University
- Degree Awarded
- Doctor of Philosophy (Ph.D.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- xxi, 337 pages
- Resource Type
- Dissertation
- Language
- English
- Academic Unit
- Civil (and Architectural) Engineering [Historical]; College of Engineering (1970-2026); Drexel University
- Other Identifier
- 991014695244004721