A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Health Monitoring of Prestressed Concrete Structures Based on Finite Element Model Updating with Uncertainty
A finite element model updating technique based on measured strain responses is used to monitor the health of prestressed concrete structures. In this work health corresponds to the existing prestressing force present and the associated stiffness properties of the structure. Measurements are taken on post-tensioned beams, both bonded and unbonded. The measured response is the total strain of the beams at predefined locations and the natural frequencies of the structures. In this work uncertainties in the measured data and those in the stiffness parameters are considered. The uncertainties are modeled using both Bayesian technique and interval analysis. The uncertain parameters in the finite element model are then estimated using Markov chain Monte Carlo technique in Bayesian framework and set inversion via interval analysis in interval analysis framework. The existing prestressing force estimated by both the mentioned techniques are then compared with the measured actual prestressing force present in the structure. To check the robustness of the proposed algorithm tests are conducted at different time spans corresponding to different prestress loss and different material stiffness.
Health Monitoring of Prestressed Concrete Structures Based on Finite Element Model Updating with Uncertainty
A finite element model updating technique based on measured strain responses is used to monitor the health of prestressed concrete structures. In this work health corresponds to the existing prestressing force present and the associated stiffness properties of the structure. Measurements are taken on post-tensioned beams, both bonded and unbonded. The measured response is the total strain of the beams at predefined locations and the natural frequencies of the structures. In this work uncertainties in the measured data and those in the stiffness parameters are considered. The uncertainties are modeled using both Bayesian technique and interval analysis. The uncertain parameters in the finite element model are then estimated using Markov chain Monte Carlo technique in Bayesian framework and set inversion via interval analysis in interval analysis framework. The existing prestressing force estimated by both the mentioned techniques are then compared with the measured actual prestressing force present in the structure. To check the robustness of the proposed algorithm tests are conducted at different time spans corresponding to different prestress loss and different material stiffness.
Health Monitoring of Prestressed Concrete Structures Based on Finite Element Model Updating with Uncertainty
Biswal, S. (author) / Ramaswamy, A. (author)
10th International Conference on Mechanics and Physics of Creep, Shrinkage, and Durability of Concrete and Concrete Structures ; 2015 ; Vienna, Austria
CONCREEP 10 ; 1447-1456
2015-09-18
Conference paper
Electronic Resource
English
| British Library Conference Proceedings | 2013
Dynamic finite element model updating of prestressed concrete continuous box-girder bridge
| Online Contents | 2009
British Library Conference Proceedings | 2016
Finite-Element Model for Pretensioned Prestressed Concrete Girders
| Online Contents | 2010
Finite-Element Model for Pretensioned Prestressed Concrete Girders
| British Library Online Contents | 2010