A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Nonlinear Kalman filtering based damage quantification for civil infrastructure
Despite advancements in Kalman filtering and the dozens of published works on the subject, the performance of Kalman filtering in terms of structural damage quantification is limited to structural systems with low dimension state vectors. Furthermore, Kalman filters cannot accurately identify damage in structures with unknown excitations. Therefore, This dissertation introduced two methods to overcome these fundamental limitations. The first method is called the iterated modified cubature unscented Kalman filter (IMUKF). It is developed by a careful combination of sigma points deriving from the unscented Kalman filter (UKF) and cubature points from the Cubature Kalman filter (CKF) and adding iterative convergence criterion to the algorithm. Extensive numerical analysis reveals that the IMUKF outperforms the traditional nonlinear Kalman filtering by increasing the number of unknown parameters. The second method eliminates the uncertainties related to the unknown excitations by extracting the free vibration response of the underlying structure. This idea introduces an output-only damage quantification method. The free vibration response is fed into the UKF, which estimates the unknown states without any need to input information for damage quantification. This proposed output-only method, referred to as RD-UKF, is evaluated using numerical and full-scale experimental data. Bridge scour is a leading cause of catastrophic bridge failures in North America. In order to accurately estimate the level of scour, a new numerical model for a bridge pier is derived based on the Euler beam theory. The new model is able to simultaneously consider soil-structure interaction, bridge bearings, deck mass, water force, and traffic loading. The model is then integrated with the proposed RD-UKF method for bridge scour quantification. In addition to the numerical simulation studies, the method is implemented on a real bridge in the province of Manitoba, Canada. The estimated soil height is verified with two different independent ...
Nonlinear Kalman filtering based damage quantification for civil infrastructure
Despite advancements in Kalman filtering and the dozens of published works on the subject, the performance of Kalman filtering in terms of structural damage quantification is limited to structural systems with low dimension state vectors. Furthermore, Kalman filters cannot accurately identify damage in structures with unknown excitations. Therefore, This dissertation introduced two methods to overcome these fundamental limitations. The first method is called the iterated modified cubature unscented Kalman filter (IMUKF). It is developed by a careful combination of sigma points deriving from the unscented Kalman filter (UKF) and cubature points from the Cubature Kalman filter (CKF) and adding iterative convergence criterion to the algorithm. Extensive numerical analysis reveals that the IMUKF outperforms the traditional nonlinear Kalman filtering by increasing the number of unknown parameters. The second method eliminates the uncertainties related to the unknown excitations by extracting the free vibration response of the underlying structure. This idea introduces an output-only damage quantification method. The free vibration response is fed into the UKF, which estimates the unknown states without any need to input information for damage quantification. This proposed output-only method, referred to as RD-UKF, is evaluated using numerical and full-scale experimental data. Bridge scour is a leading cause of catastrophic bridge failures in North America. In order to accurately estimate the level of scour, a new numerical model for a bridge pier is derived based on the Euler beam theory. The new model is able to simultaneously consider soil-structure interaction, bridge bearings, deck mass, water force, and traffic loading. The model is then integrated with the proposed RD-UKF method for bridge scour quantification. In addition to the numerical simulation studies, the method is implemented on a real bridge in the province of Manitoba, Canada. The estimated soil height is verified with two different independent ...
Nonlinear Kalman filtering based damage quantification for civil infrastructure
2021-05-01
Theses
Electronic Resource
English
Damage assessment methodologies for civil infrastructure
| British Library Conference Proceedings | 1995
A nonlinear grain-based fatigue damage model for civil infrastructure under variable amplitude loads
| British Library Online Contents | 2017