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Bio-Inspired Control of Civil Structures - Simulation

Project Full Title:

Analysis of weighting coefficients to be used in bio-inspired control of civil infrastructure - HOPE STUDENTS

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Project Description:

**PENDING FUNDING** Today’s civil infrastructure (e.g., bridges, buildings) is highly exposed to large external loads, such as high winds or seismic excitations, which can be detrimental to its overall structural integrity. Structural control seeks to minimize the response of these structures to external loads by applying counteractive forces directly to the structure. These techniques, however, are not widely employed due to several key issues, such as computational delays in the system and challenges with data collection. To overcome these challenges, inspiration can be drawn from the real-time sensing and actuation capabilities of the biological central nervous system. A novel bio-inspired data collection node was developed at the University of Michigan and this research seeks to use this sensor node in a real-time control system. This research is primarily focused on refining the bio-inspired control law using simulation techniques and developing adaptive pruning techniques. The current structure of the control law uses a weighted sum of the structure’s frequency response to establish an appropriate control force. Previously, optimal control theory was used to develop these weighting values but this position would further explore other learning algorithms. The student(s) will be involved in programming (primarily in Matlab) and data analysis. This project has potential to appeal to students from civil, mechanical, or computer engineering emphases.

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