Experimental static data based damage localization of beam-like structures considering axial load

References

• Abdo MA-B, Hori M. A numerical study of structural damage detection using changes in the rotation of mode shapes. J Sound Vib. 2002;251(2):227–239.
   Google Scholar
• Talebinejad I, Fischer C, Ansari F. Numerical evaluation of vibration-based methods for damage assessment of cable-stayed bridges. Comp-Aid Civil Infrastruct Eng. 2011;26(3):239–251.
   Google Scholar
• Ho YK, Ewins DJ. On the structural damage identification with mode shapes. Proceedings of the European COST F3 Conference on system identification and structural health monitoring; 2000; Madrid, Spain. 1, 677–686.
   Google Scholar
• Kim J-T, Ryu Y-S, Cho H-M, et al. Damage identification in beam-type structures: frequency-based method vs mode-shape-based method. Eng Struct. 2003;25:57–67.
   Google Scholar
• Koh BH, Dyke SJ. Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data. Comput Struct. 2007;85(3-4):117–130.
   Google Scholar
• Messina A, Jones IA, Williams EJ. Damage detection and localization using natural frequency changes. Proceedings of the conference on identification in engineering system; 1992. Cambridge, UK, 1, 67–76.
   Google Scholar
• Messina A, Williams EJ, Contursi T. Structural damage detection by a sensitivity and statistical-based method. J Sound Vib. 1998;216(5):791–808.
   Google Scholar
• Ndambi J-M, Vantomme J, Harri K. Damage assessment in reinforced concrete beams using eigen frequencies and mode shape derivatives. Eng Struct. 2002;24:501–515.
   Google Scholar
• Salawu O. Detection of structural damage through changes in frequency: a review. Eng Struct. 1997;19:718–723.
   Google Scholar
• Seyedpoor SM, Yazdanpanah O. Structural damage detection by differential evolution as a global optimization algorithm. Iran J Struct Eng. 2015;1(1):52–62.
   Google Scholar
• Yazdanpanah O, Seyedpoor SM, Akbarzadeh Bengar H. A new damage detection indicator for beams based on mode shape data. Struct Eng Mech. 2015;53:725–744.
   Google Scholar
• Mukhopadhyay T. A multivariate adaptive regression splines based damage identification methodology for web core composite bridges including the effect of noise. J Sandwich Struct Mater. 2018;20(7):885–903.
   Google Scholar
• Mukhopadhyay T, Chowdhury R, Chakrabarti A. “Structural damage identification: A random sampling-high dimensional model representation approach”. Adv Struct Eng. 2016;19(6):908–927.
   Google Scholar
• Naskar S, Bhalla S. Metal-wire-based twin one-dimensional orthogonal array configuration of PZT patches for damage assessment of two-dimensional structures. J Intell Mater Syst Struct. 2016;27(11):1440–1460.
   Google Scholar
• Sanayei M, Saletnik MJ. Parameter estimation of structures from static strain measurements II: error sensitivity analysis. J struct Eng ASCE. 1996;122(5):563–572.
   Google Scholar
• Bakhtiari-Nejad F, Rahai A, Esfandiari A. Structural damage detection method using static noisy data. Eng Struct 2005;27:1784–1793.
   Google Scholar
• Chen XZ, Zhu HP, Chen CY. Structural damage identification using test static data based on grey system theory. J Zhejiang Univ Sci. 2005;6A(8):790–796.
   Google Scholar
• Caddemi S, Morassi A. Crack detection in elastic beams by static measurements. Int J Solids Struct. 2007;44(16):5301–5315.
   Google Scholar
• Abdo MA-B. Parametric study of using only static response in structural damage detection. Eng Struct. 2012;34:124–131.
   Google Scholar
• Seyedpoor SM, Yazdanpanah O. An efficient indicator for structural damage localization using the change of strain energy based on static noisy data. Appl Math Model. 2013;38(9-10):2661–2672.
   Google Scholar
• Dolgion E, Waldmann D, Norman Teferle F. (2018). Static load deflection experiment on a beam for damage detection using the Deformation Area Difference Method.
   Google Scholar
• Yazdanpanah O, Izadifard RA, Dehestani M. Static data based damage localization of beam-column structures considering axial load. Mech Adv Mater Struct. 2020;27(16):1433–1450.
   Google Scholar
• Pandey AK, Biswas M. Damage detection in structures using changes in flexibility. J Sound Vib. 1994;169(1):3–17.
   Google Scholar
• Lee E-T, Eun H-C. Damage detection approach based on the second derivative of flexibility estimated from incomplete mode shape data. Appl Math Model. 2017;44:602–613.
   Google Scholar
• Yang QW, Sun BX. Structural damage localization and quantification using static test data. Struct Health Monitor. 2011;10(4):381–389.
   Google Scholar
• Sinha JK, Friswell MI, Edwards S. Simplified models for the location of cracks in beam structures using measured vibration data. J Sound Vib. 2002;251(1):13–38.
   Google Scholar
• MATLAB R. The language of technical computing (software). Natick, MA: Math Works Inc; 2017a.
   Google Scholar
• Yoo CH, Lee SC. Stability of structures: principles and applications. Butterworth-Heinemann, Burlington, MA: Elsevier; 2011. p. 171–179.
   Google Scholar
• Pandey AK, Biswas M, Samman MM. Damage detection from changes in curvature mode shapes. J Sound Vib. 1991;145(2):321–332.
   Google Scholar
• Cao L, Liu J, Xie L, et al. Non-probabilistic polygonal convex set model for structural uncertainty quantification. Appl Math Model. 2021;89(1):504–518.
   Google Scholar
• Liu J, Meng X, Xu C, et al. Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions. Comput Methods Appl Mech Eng. 2018;342:287–320.
   Google Scholar
• Liu J, Cai H, Jiang C, et al. An interval inverse method based on high dimensional model representation and affine arithmetic. Appl Math Model. 2018;63:732–743.
   Google Scholar