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http://hdl.handle.net/11375/30900
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DC Field | Value | Language |
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dc.contributor.advisor | Wiebe, Lydell | - |
dc.contributor.advisor | Guo, Peijun | - |
dc.contributor.author | M. Madani, Hamid | - |
dc.date.accessioned | 2025-01-21T16:48:26Z | - |
dc.date.available | 2025-01-21T16:48:26Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://hdl.handle.net/11375/30900 | - |
dc.description.abstract | Earthquakes pose a significant threat to communities, necessitating ongoing efforts to evaluate and mitigate potential damages. Current seismic design codes are intended to protect building occupants during severe earthquakes, and the performance of code-compliant structures in past events indicates their general effectiveness. However, these codes permit a certain level of damage, which can lead to considerable economic losses and prolonged recovery times. Consequently, decision-makers are increasingly emphasizing objectives that not only ensure individual safety but also enhance building performance and community resilience, aiming to exceed minimum code requirements. Recently, economic loss and recovery time have emerged as critical metrics for assessing seismic resilience. Among lateral force-resisting systems, concentrically braced frames (CBFs) are recognized for their efficiency and cost-effectiveness. Despite the strong performance of low-rise CBF buildings during real earthquakes, some analyses suggest a higher collapse probability under high-intensity seismic events, particularly as the structural period decreases. This discrepancy, known as the short-period building seismic performance paradox, may be partially addressed by incorporating soil-foundation-structure interaction (SFSI) into numerical analyses. Effective SFSI implementation requires careful consideration of soil and foundation modeling methods, uncertainties in soil characteristics, and variations in footing design philosophy across different codes. This thesis addresses several key research gaps. First, it evaluates how including soil and foundation effects in numerical analyses influences the computed performance of CBF buildings regarding displacement, acceleration, and economic loss, considering various footing sizes and site classes. Second, it explores efficient foundation designs for Canadian short-period buildings using Latin Hypercube Sampling to examine uncertainties and their impact on performance and repair costs. Third, it develops analytical equations to predict the sliding and rotation of shallow rectangular footings during seismic events. A practical design guide for engineers is provided as an appendix, featuring examples for calculating foundation movement by applying the new equations. | en_US |
dc.language.iso | en | en_US |
dc.title | Towards more efficient shallow foundations for low-rise concentrically braced frame buildings | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Civil Engineering | en_US |
dc.description.degreetype | Dissertation | en_US |
dc.description.degree | Doctor of Philosophy (PhD) | en_US |
dc.description.layabstract | Earthquakes pose serious threats to communities, necessitating continuous efforts to assess and mitigate potential damages. Current seismic design codes effectively protect lives during severe earthquakes but often permit structural damage that leads to significant economic losses and prolonged recovery times. Thus, decision-makers are increasingly prioritizing improved seismic performance alongside safety. This thesis evaluates the effects of soil and foundation on CBF buildings, exploring efficient foundation designs that consider material variability and seismic demand. Analytical equations are developed to estimate the sliding and rotation of shallow footings during earthquakes, enhancing predictive capabilities. A practical design guide is provided to assist engineers in applying these findings. Overall, the research aims to enhance building resilience, minimize economic losses, and ensure swift recovery after earthquakes | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Madani_Hamid_M_2024Dec_PhD.pdf | 15.74 MB | Adobe PDF | View/Open |
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