Application of singular spectrum analysis to identify the degrading structure using deteriorating distributed element model: Fid-Bau Portal

Application of singular spectrum analysis to identify the degrading structure using deteriorating distributed element model

Loh, Chin‐Hsiung / Li, Jung‐Huan / Chao, Shu‐Hsien

Abstract

Reinforced concrete structure may exhibit significant inelastic hysteretic behavior when subject to strong earthquake excitation. To investigate such an inelastic behavior, in this study, a new system identification technique is applied by using the deteriorating distributed element (DDE) model to simulate the hysteretic behavior of a degrading structure. Through the advanced signal processing technique, the multiple singular spectrum analysis (SSA) and the nonlinear SSA, the recorded inelastic restoring force of a deteriorating structure can be decomposed into several independent additive components in its sequentially degrading order and with decreasing weight. With each decomposed hysteresis loop, the model parameters of the DDE model are identified. The evolutionary properties of the progressive stiffness degradation behavior of reinforced concrete structure can be observed from the identified model parameters. Finally, comparison on the physical properties of the identified DDE model with respect to the seismic response data of the deteriorating structure is also discussed. The result shows that the proposed identification technique can have a good estimation on the seismic behavior of the degrading structure. Copyright © 2012 John Wiley & Sons, Ltd.

In this study, a new system identification technique is applied to identify the inelastic behavior of a degrading structure using the deteriorating distributed element (DDE) model. Through the advanced signal processing technique, the multiple singular spectrum analysis (SSA) and the nonlinear SSA, the recorded restoring force diagram of the seismic response data of a degrading member can be decomposed into independent additive component of decreasing weight, which can be used for developing hysteresis loop in its sequentially degrading order. Finally, with the decomposed hysteresis loop, the model parameters of the DDE model can be identified. Comparison on the physical indices identified from the model and the recorded data is also discussed.