CLC number: TU311; O342
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 5
Clicked: 7347
WANG Jian-min, CHEN Long-zhu. Damage detection of frames using the increment of lateral displacement change[J]. Journal of Zhejiang University Science A, 2005, 6(3): 202-212.
@article{title="Damage detection of frames using the increment of lateral displacement change",
author="WANG Jian-min, CHEN Long-zhu",
journal="Journal of Zhejiang University Science A",
volume="6",
number="3",
pages="202-212",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.A0202"
}
%0 Journal Article
%T Damage detection of frames using the increment of lateral displacement change
%A WANG Jian-min
%A CHEN Long-zhu
%J Journal of Zhejiang University SCIENCE A
%V 6
%N 3
%P 202-212
%@ 1673-565X
%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.A0202
TY - JOUR
T1 - Damage detection of frames using the increment of lateral displacement change
A1 - WANG Jian-min
A1 - CHEN Long-zhu
J0 - Journal of Zhejiang University Science A
VL - 6
IS - 3
SP - 202
EP - 212
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2005.A0202
Abstract: The method proposed in this paper is based on the fact that the damage in different types of structural members has distinctive influence on the structural stiffness. The intrinsic mechanical property of the structure is tapped and fully utilized for damage detection. The simplified model of the flexibility of frames treats the individual storeys as springs in series and the frame as an equivalent column. It fully considers the main deformation of all beams and columns in the frame. The deformation property of the simplified model accorded well with that of the actual frame model. The obtained increment of lateral displacement change (IOLDC) at the storey level was found to be very sensitive to the local damage in the frame. A damage detection method is proposed using the IOLDCs as the damage identification parameters. Numerical examples demonstrate the potential applicability of this method.
[1] Chou, J.H., Ghaboussi, J., 2001. Genetic algorithm in structural damage detection. Computers and Structures, 79(14):1335-1353.
[2] Dutta, S.C., Jain, S.K., Murty, C.V.R., 2000a. Alternate tank staging configurations with reduced torsional vulnerability. Soil Dynamics and Earthquake Engineering, 19(3):199-215.
[3] Dutta, S.C., Jain, S.K., Murty, C.V.R., 2000b. Assessing the seismic torsional vulnerability of elevated tanks with RC frame-type staging. Soil Dynamics and Earthquake Engineering, 19(3):183-197.
[4] Green, N.B., 1978. Earthquake Resistant Building Design and Construction. Van Nostrand Reinhold Company, New York.
[5] Guyan, R.J., 1965. Reduction of stiffness and mass matrices. AIAA Journal, 3(2):380.
[6] Hjelmstad, K.D., Shin, S., 1997. Damage detection and assessment of structures from static response. Journal of Engineering Mechanics, 123(6):568-576.
[7] Ko, J.M., Sun, Z.G., Ni, Y.Q., 2002. Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun Bridge. Engineering Structures, 24(7):857-868.
[8] Koh, C.G., See, L.M., Balendra, T., 1995. Damage detection of buildings: numerical and experimental studies. Journal of Structural Engineering, 121(8):1155-1160.
[9] Natke, H.G., Yao, J.T.P., 1988. System Identification Approaches in Structural Safety Evaluation. In: Natke, H.G., Yao, J.T.P. (Eds.), Structural Safety Evaluation Based on System Identification Approaches. Wiesbaden, Germany, p.460-473.
[10] Pandey, P.C., Barai, S.V., 1995. Multilayer perceptron in damage detection of bridge structures. Computers & Structures, 54(4):597-608.
[11] Sameer, S., Jain, S.K., 1992. Approximate methods for determination of time period of water tank stagings. The Indian Concrete Journal, 66(12):691-698.
[12] Sameer, S., Jain, S.K., 1994. Lateral-load analysis of frame stagings for elevated water tanks. Journal of Structural Engineering, 120(5):1375-1394.
[13] Wang, X., Hu, N., Fukunaga, H., Yao, Z.H., 2001. Structural damage identification using static test data and changes in frequencies. Engineering Structures, 23(6):610-621.
[14] Waszczyszyn, Z., Ziemiański, L., 2001. Neural networks in mechanics of structures and materials(new results and prospects of applications. Computers & Structures, 79(26-28):2261-2276.
[15] Yun, C.B., Bahng, E.Y., 2000. Substructural identification using neural networks. Computers & Structures, 77(1):41-52.
Open peer comments: Debate/Discuss/Question/Opinion
<1>