A multi-physics corrosion induced deterioration framework for durability performance management of reinforced concrete structures
Abstract/Contents
- Abstract
- Reinforced structures are continuously at risk from corrosion, fatigue, and other deterioration processes over a decades-long lifetime. During the last decades, various numerical models have been developed that capture the corrosion-induced deterioration of reinforced concrete structures over time. While these models are useful, the practice of numerical deterioration modeling remains largely foreign to engineers, building owners, and managers. This thesis establishes a framework to enable durability performance management of reinforced concrete structures subjected to corrosion-induced deterioration using multi-physics models that are based on fundamental material characteristics and environmental exposures. This framework first develops a method to build multi-physics deterioration models rapidly and efficiently with limited human intervention, and a method to interpret and present the simulation results in a straightforward manner for decision makers. This framework also addresses the need for a realistic model of initiation of chloride-induced corrosion by developing a method to assign critical chloride content more appropriately in numerical models by explicitly considering both spatial variation and time-dependency. A three-dimensional modeling framework of carbonation-induced deterioration of reinforced concrete that covers both the initiation and propagation phases of corrosion is also developed in this thesis and integrated with chloride-induced corrosion to more realistically model reinforced concrete elements with multiple longitudinal rebars and stirrups. Finally, using neural network model as surrogates for multi-physics deterioration models of reinforced concrete service life is developed and evaluated in this thesis to enable faster computational simulations of reinforced concrete service life that are statistically equivalent to simulations based on highly complex multi-physics deterioration models.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Wu, Jie |
|---|---|
| Degree supervisor | Lepech, Michael |
| Thesis advisor | Lepech, Michael |
| Thesis advisor | Fischer, Martin, 1960 July 11- |
| Thesis advisor | Geiker, Mette |
| Degree committee member | Fischer, Martin, 1960 July 11- |
| Degree committee member | Geiker, Mette |
| Associated with | Stanford University, Civil & Environmental Engineering Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Jie Wu. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2020. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Jie Wu
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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