University of Twente Student Theses
Predicting thermal response of the Bio-based bridge in Ritsumasyl using distributed temperature and strain measurements
Heinen, D.A. (2022) Predicting thermal response of the Bio-based bridge in Ritsumasyl using distributed temperature and strain measurements.
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| Abstract: | This research investigates the application of a regression model, which is built using distributed temperature and response (strain) measurements to predict the thermal response of the bio-based bridge in Ritsumasyl. The aim is to have an accurate regression model that can predict the response of the bridge over diurnal and seasonal temperature changes, which cause large deformations that exceed live loads. The regression-based thermal response prediction (RBTRP) methodology was used to determine the relationship between strain and temperature distribution during a reference period. A multiple linear regression algorithm (MLR) has been applied. By applying data pre-processing and an iterative process to find the smallest prediction error by varying the thermal inertia and number of input measurementsfor the regression analysis, the thermal response was successfully predicted with a maximal prediction error of 4.5% for the monitoring period. This involved a shift correcting measured data for all strain gauges. This shift was necessary since strain data in the monitoring period deviated significantly from strain data in the reference period at the same temperatures. The first measured value of the monitoring period is set equal to the first predicted strain value of the monitoring period. The difference between these two values is applied to all other measured values. The reason for the deviation is unknown and should be further investigated in a follow-up study. The research also shows that the thermal response can be well predicted using temperature distributions, but the prediction error does differ per strain gauge. Whether this depends on factors like sensor location, applied loads, wind or humidity cannot be concluded from this study. This also requires further research. |
| Item Type: | Essay (Bachelor) |
| Faculty: | ET: Engineering Technology |
| Programme: | Civil Engineering BSc (56952) |
| Link to this item: | https://purl.utwente.nl/essays/93555 |
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