Boundary condition identification for a grid model by experimental and numerical dynamic analysis

Qiang Mao; John Devitis; Matteo Mazzotti; Ivan Bartoli; Franklin Moon; Kurt Sjoblom; Emin Aktan

doi:10.1117/12.2084194

1 April 2015 Boundary condition identification for a grid model by experimental and numerical dynamic analysis

Qiang Mao, John Devitis, Matteo Mazzotti, Ivan Bartoli, Franklin Moon, Kurt Sjoblom, Emin Aktan

Proceedings Volume 9437, Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015; 94370J (2015) https://doi.org/10.1117/12.2084194
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2015, San Diego, California, United States

Abstract

There is a growing need to characterize unknown foundations and assess substructures in existing bridges. It is becoming an important issue for the serviceability and safety of bridges as well as for the possibility of partial reuse of existing infrastructures.

Within this broader contest, this paper investigates the possibility of identifying, locating and quantifying changes of boundary conditions, by leveraging a simply supported grid structure with a composite deck. Multi-reference impact tests are operated for the grid model and modification of one supporting bearing is done by replacing a steel cylindrical roller with a roller of compliant material. Impact based modal analysis provide global modal parameters such as damped natural frequencies, mode shapes and flexibility matrix that are used as indicators of boundary condition changes. An updating process combining a hybrid optimization algorithm and the finite element software suit ABAQUS is presented in this paper. The updated ABAQUS model of the grid that simulates the supporting bearing with springs is used to detect and quantify the change of the boundary conditions.

Citation Download Citation

Qiang Mao, John Devitis, Matteo Mazzotti, Ivan Bartoli, Franklin Moon, Kurt Sjoblom, and Emin Aktan "Boundary condition identification for a grid model by experimental and numerical dynamic analysis", Proc. SPIE 9437, Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015, 94370J (1 April 2015); https://doi.org/10.1117/12.2084194

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