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Master Thesis / Master Project: Reduced Order Modeling for damage localization/identification
Nowadays, modeling real-life structural systems includes complex numerical simulations with a high demand for computational resources. The goal of the project is to derive a low-order representation of high-fidelity models that describe a real-life structure (aircrafts, wind turbines, structures). In turn, the derived Reduced Order Model will be utilized to perform damage localization or structural identification tasks under earthquake excitations or similar extreme-events case studies.
Keywords: Reduced-Order Modeling
parametric surrogate model
nonlinear dynamical systems
structural identification
This thesis/project focuses **on the derivation of a model order reduction approach for nonlinear structural systems in a parametric formulatio**n. A Reduced-Order Model (ROM) of the high fidelity system will be developed, retaining the dependencies on system properties and/or variation of environmental and operational parameters (EOPs).
Based on the student's preference, the model order reduction methodology might rely on physics-based techniques, data-driven algorithms, or hybrid approaches. Ideally, the ROM should be able to propagate the dynamics in a reduced set of coordinates and provide accelerated model evaluations. This way, the developed ROM can be exploited for a number of tasks including monitoring and diagnostics, control of vibrating structures, and residual life estimation of critical components.
As previous work on the ROM framework already exists, the **_student can also focus on how to exploit a provided surrogate as part of a framework that performs damage quantification, localization or condition monitoring tasks._**
**Disclaimer:**
Since the project/thesis is provided from the IBK Chair on DBAUG, depending on the student's ETH department a second supervisor from their own department might be needed.
Related work:
- [1] Vlachas, Konstantinos, et al. "A local basis approximation approach for nonlinear parametric model order reduction." Journal of Sound and Vibration 502 (2021): 116055.
- [2] Agathos, Konstantinos, et al. "Parametric reduced order models for output-only vibration-based crack detection in shell structures." Mechanical Systems and Signal Processing 162 (2022): 108051.
- [3] Tatsis, Konstantinos E., et al. "A hierarchical output-only Bayesian approach for online vibration-based crack detection using parametric reduced-order models." Mechanical Systems and Signal Processing 167 (2022): 108558.
This thesis/project focuses **on the derivation of a model order reduction approach for nonlinear structural systems in a parametric formulatio**n. A Reduced-Order Model (ROM) of the high fidelity system will be developed, retaining the dependencies on system properties and/or variation of environmental and operational parameters (EOPs). Based on the student's preference, the model order reduction methodology might rely on physics-based techniques, data-driven algorithms, or hybrid approaches. Ideally, the ROM should be able to propagate the dynamics in a reduced set of coordinates and provide accelerated model evaluations. This way, the developed ROM can be exploited for a number of tasks including monitoring and diagnostics, control of vibrating structures, and residual life estimation of critical components.
As previous work on the ROM framework already exists, the **_student can also focus on how to exploit a provided surrogate as part of a framework that performs damage quantification, localization or condition monitoring tasks._**
**Disclaimer:** Since the project/thesis is provided from the IBK Chair on DBAUG, depending on the student's ETH department a second supervisor from their own department might be needed.
Related work: - [1] Vlachas, Konstantinos, et al. "A local basis approximation approach for nonlinear parametric model order reduction." Journal of Sound and Vibration 502 (2021): 116055. - [2] Agathos, Konstantinos, et al. "Parametric reduced order models for output-only vibration-based crack detection in shell structures." Mechanical Systems and Signal Processing 162 (2022): 108051. - [3] Tatsis, Konstantinos E., et al. "A hierarchical output-only Bayesian approach for online vibration-based crack detection using parametric reduced-order models." Mechanical Systems and Signal Processing 167 (2022): 108558.
The goal of the thesis/project is to derive an efficient surrogate to be utilized for structural health monitoring applications. This area of application poses certain constraints like (near) real-time evaluation or robustness during extreme events that the student will need to address based on the final project description.
The goal of the thesis/project is to derive an efficient surrogate to be utilized for structural health monitoring applications. This area of application poses certain constraints like (near) real-time evaluation or robustness during extreme events that the student will need to address based on the final project description.
IBK_Vlachas_MasterThesisTopics_2022.pdf
