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Probabilistic reliability assessment of real-time hybrid simulation of structures with degradation

International Conference on Applications of Statistics and Probability (12th : 2015 : Vancouver, B.C.)

Improving seismic performance of structures and seismic design codes requires that laboratory experiments truthfully replicate the seismic structural response. Real-time hybrid simulation provides a viable alternative for shake table testing that allows more economical and efficient seismic performance evaluation in size-limited laboratories. Not well-understood critical parts of the structure are tested physically as experimental substructures in the laboratory, while well-behaved parts are numerically modeled by computer programs as analytical substructures. Servo-hydraulic actuators impose desired responses onto the experimental substructures. Restoring forces from substructures are integrated by a numerical algorithm to enable the replication of the entire structural response through large- or full-scale component tests. However, actuator delay causes a deviation from the exact structural response. This creates a great challenge for reliability assessment of real-time hybrid simulation results since the actual structural response is not available before or after the experiment for an immediate comparison. This paper presents a probabilistic reliability assessment approach for realtime hybrid simulation of structures with degradation. With the generalized Bouc-Wen model to emulate strength and stiffness degradation of structures close to collapse, computational simulation are conducted on single-degree-of-freedom structures subjected to selected ground motions with different intensities. Different natural frequencies are considered as well as slight, moderate and significant degradation. A lognormal distribution for critical delay corresponding to target accuracy is then established to enable probabilistic reliability assessment without actual response known a priori. Examples of applying the proposed probabilistic approach are also presented in this paper.

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This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.

Vancouver : University of British Columbia Library

10.14288/1.0076047

Non UBC

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/