Study on the Sensitive Factors of Structural Nonlinear Damage Based on the Innovation Series
文献类型：期刊论文
| 作者 | Chen, Liujie4,5; Mei, Yahui4; Fu, Jiyang1; Ng, Ching Tai2; Cui, Zhen3 |
| 刊名 | INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 20期号:10页码:35 |
| 关键词 | Nonlinear damage identification nonlinear damage-sensitive factor innovation series auto-regressive conditional heteroscedasticity |
| ISSN号 | 0219-4554 |
| DOI | 10.1142/S0219455420420110 |
| 英文摘要 | Constructing a damage-sensitive factor (DSF) is one of the key steps in structural damage detection. In this paper, innovation series extracted from the auto-regressive conditional heteroscedasticity (ARCH) model are proposed to construct a DSF, which is defined as the standard deviation of innovation (SDI). A three-story shear building structure is used to demonstrate and verify the performance of the proposed method, and the results are compared with the standard deviation of the residuals (SDR) based on an auto-regressive (AR) model. In the proposed method, the AR model is established using the acceleration responses obtained from the reference and test states. The residual series are then extracted for fitting the SDR. Subsequently, the ARCH model is constructed based on the residual series from the AR model, and a new DSF of SDI is defined. This study focuses on analyzing the accuracy of fitting AR model and ARCH model to vibration response data via the normal probability distribution, and identifying the characteristics of the residual and innovation series. The mean squared error (MSE) is used as the loss function to calculate the loss on residual and innovation series from the AR model and ARCH model, respectively. The results demonstrate that the SDR can be used for nonlinear damage detection. However, the proposed SDI can provide more accurate nonlinear damage identification and is robust to varying environmental condition and small damages. Thus, the innovation series developed based on ARCH model are promising for expressing and constructing nonlinear DSFs. |
| 资助项目 | open project foundation[20160626005] ; MOE Key Lab of Disaster Forecast and Control in Engineering at Jinan University in China |
| WOS研究方向 | Engineering ; Mechanics |
| 语种 | 英语 |
| WOS记录号 | WOS:000580916500012 |
| 出版者 | WORLD SCIENTIFIC PUBL CO PTE LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/25058]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Fu, Jiyang |
| 作者单位 | 1.Guangzhou Univ Tamkang Univ Joint Res Ctr Engn St, Guangzhou 51006, Guangdong, Peoples R China 2.Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA 5005, Australia 3.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China 4.Guangzhou Univ, Sch Civil Engn, Guangzhou 51006, Guangdong, Peoples R China 5.MOE Key Lab Disaster Forecast & Control Engn, Guangzhou 510632, Guangdong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Liujie,Mei, Yahui,Fu, Jiyang,et al. Study on the Sensitive Factors of Structural Nonlinear Damage Based on the Innovation Series[J]. INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS,2020,20(10):35. |
| APA | Chen, Liujie,Mei, Yahui,Fu, Jiyang,Ng, Ching Tai,&Cui, Zhen.(2020).Study on the Sensitive Factors of Structural Nonlinear Damage Based on the Innovation Series.INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS,20(10),35. |
| MLA | Chen, Liujie,et al."Study on the Sensitive Factors of Structural Nonlinear Damage Based on the Innovation Series".INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS 20.10(2020):35. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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