Mr. Ye Xia Profile

Ye Xia

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Proceedings Article | 14 April 2011 Paper

Experimental demonstration of a damage detection technique for nonlinear hysteretic structures

Jann Yang, Ye Xia, Chin-Hsiung Loh

Proceedings Volume 7981, 79812P (2011) https://doi.org/10.1117/12.877196

KEYWORDS: Earthquakes, Damage detection, Finite element methods, Chemical elements, Complex systems, Sensors, Data modeling, Systems modeling, Lithium, System identification

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Many civil and mechanical engineering structures exhibit nonlinear hysteretic behavior when subject to dynamic loads, such as earthquakes. The modeling and identification of non-linear hysteretic systems with stiffness and strength degradations is a practical but challenging problem encountered in the engineering field. A recently developed technique, referred to as the adaptive quadratic sum-square error with unknown inputs (AQSSE-UI), is capable of identifying time dependant parameters of nonlinear hysteretic structures. In this paper, the AQSSE-UI technique is applied to the parametric identification of nonlinear hysteretic reinforced concrete structures with stiffness and strength degradations, and the performance of the AQSSE technique is demonstrated by the experimental test data. A 1/3 scaled 2-story RC frame has been tested experimentally on the shake table at NCREE, Taiwan. This 2-story RC frame was subject to different levels of ground excitations back to back. The structure is firstly considered as an equivalent linear model with time-varying stiffness parameters, and the tracking of the degradation of the stiffness parameters is carried out using the AQSSE-UI technique. Then the same RC frame is considered as a nonlinear hysteretic model with inelastic hinges following the generalized Bouc-Wen model, and the time-varying nonlinear parameters are identified again using the AQSSE-UI technique. Experimental results demonstrate that the AQSSE technique is quite effective for the tracking of: (i) the stiffness degradation of linear structures, and (ii) the non-linear hysteretic parameters with stiffness and strength degradations.

Proceedings Article | 1 April 2010 Paper

Experimental demonstration of the AQSSE damage detection technique based on finite-element approach

Jann Yang, Ye Xia, Chin-Hsiung Loh

Proceedings Volume 7647, 76474C (2010) https://doi.org/10.1117/12.843319

KEYWORDS: Finite element methods, Sensors, Damage detection, Data modeling, Civil engineering, Motion measurement, System identification, Structural health monitoring, Matrices, Error analysis

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It is well-known that the damage in a structure is a local phenomenon. Based on measured vibration data from sensors, the detection of a structural damage requires the finite-element formulation for the equations of motion, so that a change of any stiffness in a structural element can be identified. However, the finite-element model (FEM) of a complex structure involves a large number of degree-of-freedom (DOFs), which requires a large number of sensors and involves a heavy computational effort for the identification of structural damages. To overcome such a challenge, we propose the application of a reduced-order model in conjunction with a recently proposed damage detection technique, referred to as the adaptive quadratic sum-square error with unknown inputs (AQSSE-UI). Experimental data for the shake table tests of a 1/4-scal 6-story steel frame structure, in which the damages of the joints were simulated by loosening the connection bolts, have been available recently. Based on these experimental data, it is demonstrated that the proposed combination of the reduced-order finite-element model and the adaptive quadratic sum-square error with unknown inputs is quite effective for the damage assessment of joints in the frame structure. The proposed method not only can detect the damage locations but also can quantify the damage severities.

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