@inbook{a25ce77d2b114ec4813aff8cb541b041,

title = "Crack detection in a beam on elastic foundation using differential quadrature method and the bees algorithm optimization",

abstract = "In the present contribution, a practical and non-destructive method for the identification of a single crack in a beam resting on elastic foundation is presented. The beam is modelled by differential quadrature method, and the location and depth of crack are predicted by bees algorithm. The crack is assumed to be open and is simulated by torsional spring which divides all parts through cracked beam into two segments. Then, the differential quadrature method is applied to the governing differential equation of motion of each segment and the corresponding boundary and continuity conditions. An eigenvalue analysis is performed on the resulting system of algebraic equations to obtain the natural frequencies of the cracked beam on elastic foundation. Then, the location and depth of cracks are determined by bees algorithm optimization technique. The formulation of thin-walled beams theory is used for the crack detection in this research. To insure the integrity and robustness of the presented algorithm, the finite element analysis is performed on the set of cantilever beams, with different crack lengths and locations. The results show that the presented algorithm predicts location and depth of crack well and can be effectively employed for crack detection in other structures.",

keywords = "Bees algorithm, Crack detection, Differential quadrature method, Vibration analysis",

author = "{Khademi Zahedi}, R. and P. Alimouri and Hung Nguyen-Xuan and Timon Rabczuk",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Singapore Pte Ltd.",

year = "2018",

doi = "10.1007/978-981-10-7149-2_30",

language = "English",

series = "Lecture Notes in Mechanical Engineering",

publisher = "Pleiades journals",

pages = "439--460",

booktitle = "Lecture Notes in Mechanical Engineering",

}