Structural Mechanics (Prof. Chatzi)Open OpportunitiesDeriving numerical representation of real-life structural systems usually leads to high complexity models. In addition, the ever-increasing engineering and manufacturing demands require the treatment of intricate systems.
However, this increased complexity is usually bad news and makes things difficult to understand and handle. The goal of this project is to research into (dynamic) substructuring: A divide and conquer approach that aims to break down the system and address each component separately.
This allows an engineer to obtain a clear view on complex or high-dimensional models and understand the interaction between components while enabling even parallel working requirements on a workspace - Construction Engineering, Mechanical Engineering, Structural Engineering
- Master Thesis, Semester Project
| 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. - Mechanical Engineering, Structural Engineering
- Master Thesis, Semester Project
| This project will investigate model update based on real-time experimental results and its projection using Augmented Reality for human in-the-loop investigation. The updated model will be used to update inputs in real-time as well to better match the response with human visualization of the model. This result will be used to achieve faster error convergence, reduce the number of tests needed, and minimize input forces. - Engineering/Technology Instrumentation, Software Engineering, Structural Engineering
- Master Thesis, Semester Project
| The Singapore-ETH Centre is seeking to implement a “Dynamic Mobile Sensing Platform”, i.e., a new sensing paradigm that leverages the use of satellite data, roving sensors and urban networks to implement an infrastructure’s digital twin.
To put our approach into practice, we seek to build a toy example by mounting mobile sensors and a simple computing unit onto bicycles. Equipped with vibration sensors, our rudimentary roaming sensors measure the road roughness of various roads and relay the diagnosis back to a central server. The end use of the sensing platform will be the Park Connector Network in Singapore, an extensive bicycle lane network that spans the entire island.
The goal of this project is to enhance the capabilities of the proposed "Dynamic Mobile Sensing Platform" by incorporating a shake-table testing methodology. By utilizing a shake-table, the student will subject the instrumented bicycle to controlled and simulated vibrations that mimic real-world road conditions. This testing process will allow for the collection of benchmark data on the performance of the sensing platform under different vibration levels and frequencies, providing insights into its robustness and accuracy. By validating the platform's effectiveness through rigorous shake-table testing, we can ensure its reliability and suitability for real-world applications, ultimately advancing the development of digital twins for urban infrastructure. - Engineering and Technology, Information, Computing and Communication Sciences
- ETH Zurich (ETHZ), Semester Project
| The Singapore-ETH Centre is seeking to implement a “Dynamic Mobile Sensing Platform”, i.e., a new sensing paradigm that leverages the use of satellite data, roving sensors and urban networks to implement an infrastructure’s digital twin.
To put our approach into practice, we seek to build a toy example by mounting mobile sensors and a simple computing unit onto bicycles. Equipped with vibration sensors, our rudimentary roaming sensors measure the road roughness of various roads and relay the diagnosis back to a central server. The end use of the sensing platform will be the Park Connector Network in Singapore, an extensive bicycle lane network that spans the entire island.
The goal of this project is to enhance the capabilities of the proposed "Dynamic Mobile Sensing Platform" by incorporating a shake-table testing methodology. By utilizing a shake-table, the student will subject the instrumented bicycle to controlled and simulated vibrations that mimic real-world road conditions. This testing process will allow for the collection of benchmark data on the performance of the sensing platform under different vibration levels and frequencies, providing insights into its robustness and accuracy. By validating the platform's effectiveness through rigorous shake-table testing, we can ensure its reliability and suitability for real-world applications, ultimately advancing the development of digital twins for urban infrastructure. - Engineering and Technology
- ETH Zurich (ETHZ), Semester Project
| This master thesis explores the use of Neural Networks (NNs) to model Ground Penetrating Radar (GPR) data. To this end, Physics-Informed Neural Networks (PINNs) can be used to incorporate electromagnetic wave propagation into the NN training in order to enhance the learning task. The inferred deep learning model can be used for fast simulation of GPR data for decision support tasks within asset management of the railway infrastructure. - Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Physics
- Master Thesis
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