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author:

Jiang, S. (Jiang, S..) [1] | Chen, Z. (Chen, Z..) [2] | Ma, S. (Ma, S..) [3]

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Scopus PKU

Abstract:

In order to provide theoretical references for detection of structural status in civil engineering, this paper proposed a novel structural non-linearity detection strategy based on the discrete wavelet transform(DWT)and null space method. Firstly, the structural response was separated by DWT to obtain the approximate signal in low frequency band. Then, the obtained approximate signals were used to construct a Hankel matrix, which was decomposed by singular value decomposition(SVD)to divide the null and non-null spaces. Finally, two new index, theta and DON, were proposed to detect the non-linearity; furthermore, a limit of linearity(LL)was constructed. A numerical example and a laboratory test were conducted to verify effectiveness of the proposed method. Results show that theta is significantly less than its LL and DON is almost equal to 1 when the structure is linear; in contrast, when the structure is nonlinear, both theta and DON are significantly larger than their LL and increase with the degree of non-linearity. Conclusion is that the proposed method is able to effectively detect the structural non-linearity, furthermore, the proposed method has excellent robustness and engineering practicability. © 2016, Editorial Department of Journal of SJZU. All right reserved.

Keyword:

Discrete wavelet transform(DWT); Nonlinear index; Null space method; Structural non-linearity detection

Community:

  • [ 1 ] [Jiang, S.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Chen, Z.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Ma, S.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China

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Source :

Journal of Shenyang Jianzhu University (Natural Science)

ISSN: 2095-1922

CN: 21-1578/TU

Year: 2016

Issue: 1

Volume: 32

Page: 1-9

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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