Ci̇han H Dağli
Biographic Data
| ID | 10219264 |
|---|---|
| NAME | Ci̇han H Dağli |
| GIVEN NAMES | Ci̇han H |
| FAMILY NAME | Dağli |
| SIGNATURE | DAĞLI C H |
| AFFILIATIONS | Missouri University of Science and Technology |
| ORCID | 0000-0003-4919-1699 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Machine Learning-Based Seismic Damage Assessment of Residential Buildings Considering Multiple Earthquake and Structure Uncertainties
Wood-frame structures are used in almost 90% of residential buildings in the United States. It is thus imperative to rapidly and accurately assess the damage of wood-frame structures in the wake of an earthquake event. This study aims to develop a machine-learning-based seismic classifier for a portfolio of 6,113 wood-frame structures near the New Madrid Seismic Zone (NMSZ) in which synthesized ground motions are adopted to characterize potential…
Using University-Funded Research Projects to Teach System Design Processes and Tools
This paper highlights the development of a new course structure and an associated knowledge support system, deployed as a pilot program at the senior undergraduate and first-semester graduate level. These two new courses, run consecutively, allow the injection of funded research projects to be used as a means to teach topics related to systems engineering. During the two courses, the students analyzed a real Department of Defense (DoD) problem. S…
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Using University-Funded Research Projects to Teach System Design Processes and Tools
This paper highlights the development of a new course structure and an associated knowledge support system, deployed as a pilot program at the senior undergraduate and first-semester graduate level. These two new courses, run consecutively, allow the injection of funded research projects to be used as a means to teach topics related to systems engineering. During the two courses, the students analyzed a real Department of Defense (DoD) problem. S…
Machine Learning-Based Seismic Damage Assessment of Residential Buildings Considering Multiple Earthquake and Structure Uncertainties
Wood-frame structures are used in almost 90% of residential buildings in the United States. It is thus imperative to rapidly and accurately assess the damage of wood-frame structures in the wake of an earthquake event. This study aims to develop a machine-learning-based seismic classifier for a portfolio of 6,113 wood-frame structures near the New Madrid Seismic Zone (NMSZ) in which synthesized ground motions are adopted to characterize potential…
Computer Science (2 works) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Design Education and Practice (1 work) · Engineering (1 work) · Engineering education (1 work) · Engineering Education and Pedagogy (1 work) · Engineering management (1 work) · Fragility (1 work) · Geology (1 work)