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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
Spring 2022 Engineering Mechanics E6220 section 001 STOCHASTIC ENGINEERING MECHANICS RANDOM PROCESSES IN MECHA | |
| Call Number | 13104 |
| Day & Time Location |
M 7:00pm-9:30pm 116 Knox Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Ioannis Kougioumtzoglou |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Review of random variables. Random process theory: stationary and ergodic processes, correlation functions and power spectra, non-stationary, non-white and non-Gaussian processes. Uncertainty quantification and simulation of environmental excitations and material/media properties, even when subject to limited/incomplete data: joint time-frequency analysis, sparse representations and compressive sampling concepts and tools. Stochastic dynamics and reliability assessment of diverse engineering systems: complex nonlinear/hysteretic behaviors and/or fractional derivative modeling. Emphasis on solution methodologies based on Monte Carlo simulation, statistical linearization, and Wiener path integral. Examples from civil, marine, mechanical and aerospace engineering. |
| Web Site | Vergil |
| Department | Civil Engineering and Engineering Mechanics |
| Enrollment | 8 students (20 max) as of 8:04AM Saturday, July 2, 2022 |
| Subject | Engineering Mechanics |
| Number | E6220 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Campus | Morningside |
| Section key | 20221ENME6220E001 |
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