Journal of Structural and Construction Engineering

Journal of Structural and Construction Engineering

Damage detection in simply supported steel beams by structural acceleration response data

Document Type : Original Article

Authors
Department of Civil Engineering, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran
Abstract
Although the accuracy of operation during the construction of structures is important, monitoring the health of structures after construction is very important, so that timely identification of minor damages and planning to eliminate them and modify elements in places Damage can prevent general damages and human and financial consequences and increase the useful life of structures. In past researches, damage identification in structures has been done with the existence of a structural model. In this research, the damage has been identified with the help of the acceleration of the structure output (without the need for the initial model of the structure). Therefore, for this purpose, the simple double-ended steel beam is subjected to dynamic impact loading in one or more points in different scenarios. In the strategy governing this research, the damaged structure under a weak impact is assumed to be a healthy structure and the same structure under a strong impact is considered as a damaged structure. With the help of the output acceleration of 3 points of the structure, using the acceleration interpolation technique of other points of the structure, and also with the help of Newmark integration method, the deformation of the structure in healthy and damaged state was extracted and the damage position was accurately determined with the proposed index.
Keywords

Subjects


1.         Cawley, P. and R.D. Adams, The location of defects in structures from measurements of natural frequencies. The Journal of Strain Analysis for Engineering Design, 1979. 14(2): p. 49-57.
2.         Penny, J., M. Friswell, and S. Garvey, Automatic choice of measurement locations for dynamic testing. AIAA journal, 1994. 32(2): p. 407-414.
3.         Juneja, V., R. Haftka, and H. Cudney, Damage detection and damage detectability—analysis and experiments. Journal of Aerospace Engineering, 1997. 10(4): p. 135-142.
4.         Lifshitz, J.M. and A. Rotem, Determination of Reinforcement Unbonding of Composites by a Vibration Technique. Journal of Composite Materials, 1969. 3(3): p. 412-423.
5.         Stubbs, N., T.H. Broome, and R. Osegueda, Nondestructive construction error detection in large space structures. AIAA journal, 1990. 28(1): p. 146-152.
6.         Morassi, A. and N. Rovere, Localizing a notch in a steel frame from frequency measurements. Journal of engineering mechanics, 1997. 123(5): p. 422-432.
7.         Ratcliffe, C.P., Damage detection using a modified Laplacian operator on mode shape data. Journal of sound and vibration, 1997. 204(3): p. 505-517.
8.         Skjaerbaek, P., S.R. Nielsen, and A. Çakmak, Identification of damage in reinforced concrete structures from earthquake records—optimal location of sensors. Soil Dynamics and Earthquake Engineering, 1996. 15(6): p. 347-358.
9.         Pandey, A., M. Biswas, and M. Samman, Damage detection from changes in curvature mode shapes. Journal of sound and vibration, 1991. 145(2): p. 321-332.
10.       Sanders, D., Y. Kim, and N. Stubbs, Nondestructive evaluation of damage in composite structures using modal parameters. Experimental mechanics, 1992. 32: p. 240-251.
11.       Topole, K.G. and N. Stubbs, Non‐destructive damage evaluation of a structure from limited modal parameters. Earthquake engineering & structural dynamics, 1995. 24(11): p. 1427-1436.
12.       Stubbs, N. and J.-T. Kim, Damage localization in structures without baseline modal parameters. AIAA journal, 1996. 34(8): p. 1644-1649.
13.       Chance, J., G.R. Tomlinson, and K. Worden. A simplified approach to the numerical and experimental modelling of the dynamics of a cracked beam. in Proceedings-SPIE the International Society for Optical Engineering. 1994. Citeseer.
14.       Seyedpoor, S., Structural damage detection using a multi-stage particle swarm optimization. Advances in Structural Engineering, 2011. 14(3): p. 533-549.
15.       Yan, G., X. Peng, and H. Hao. Localization of free-spanning damage using mode shape curvature. in Journal of Physics: Conference Series. 2011. IOP Publishing.
16.       Xiang, J. and M. Liang, A two-step approach to multi-damage detection for plate structures. Engineering Fracture Mechanics, 2012. 91: p. 73-86.
17.       Nicknam, A. and M. Hosseini, Structural damage localization and evaluation based on modal data via a new evolutionary algorithm. Archive of Applied Mechanics, 2012. 82: p. 191-203.
18.       Samali, B., U. Dackermann, and J. Li, Location and severity identification of notch-type damage in a two-storey steel framed structure utilising frequency response functions and artificial neural network. Advances in Structural Engineering, 2012. 15(5): p. 743-757.
19.       Mohan, S., D.K. Maiti, and D. Maity, Structural damage assessment using FRF employing particle swarm optimization. Applied Mathematics and Computation, 2013. 219(20): p. 10387-10400.
20.       Zhang, Y., et al., Damage detection in plates structures based on frequency shift surface curvature. Journal of Sound and Vibration, 2013. 332(25): p. 6665-6684.
21.       Seyedpoor, S. and O. Yazdanpanah, An efficient indicator for structural damage localization using the change of strain energy based on static noisy data. Applied Mathematical Modelling, 2014. 38(9-10): p. 2661-2672.
22.       Makki Alamdari, M., J. Li, and B. Samali, Damage identification using 2-D discrete wavelet transform on extended operational mode shapes. Archives of Civil and Mechanical Engineering, 2015. 15(3): p. 698-710.
23.       Yazdanpanah, O., R.A. Izadifard, and M. Abdi Moghadam, Embedded Crack Identification in Beam-Column Structures under Axial Load Using an Efficient Static Data Based Indicator. Journal of Rehabilitation in Civil Engineering, 2016. 4(2): p. 67-78.
24.       Le, N.T., et al., A new method for locating and quantifying damage in beams from static deflection changes. Engineering Structures, 2019. 180: p. 779-792.
25.       Yazdanpanah, O., R.A. Izadifard, and M. Dehestani, Static data based damage localization of beam-column structures considering axial load. Mechanics of Advanced Materials and Structures, 2020. 27(16): p. 1433-1450.
26.       Shi, B., et al., A directional continuous wavelet transform of mode shape for line-type damage detection in plate-type structures. Mechanical Systems and Signal Processing, 2022. 167: p. 108510.
27.       Dziedziech, K., et al., Wavelet-Based Transmissibility for Structural Damage Detection. Materials, 2022. 15(8): p. 2722.
28.       D'Antimo, M., et al., Experimental and numerical assessment of steel beams under impact loadings. Journal of Constructional Steel Research, 2019. 158: p. 230-247.
29.       Casas, J.R. and A.C. Aparicio, Structural damage identification from dynamic-test data. Journal of Structural Engineering, 1994. 120(8): p. 2437-2450.
Volume 12, Issue 08 - Serial Number 97
November 2025
Pages 252-265

  • Receive Date 06 October 2024
  • Revise Date 18 January 2025
  • Accept Date 05 February 2025