Multiple Crack Detection in Thick-walled Pipes Using Artificial Bee Colony Algorithm


  • Seyed Amir Banimahd ORCID

    Department of Civil Engineering, Faculty of Engineering, Ardakan University, 89518-95491 Ardakan, Iran

  • Mohammad Amir Rahemi

    International Institute of Earthquake Engineering and Seismology, 19537-14453 Tehran, Iran


An analytical method for diagnosis of cracks in thick-walled pipes with a circular hollow section is investigated in this study. In the proposed method, the defect is assumed to be a non-leaking crack, which is modeled by a massless linear spring with infinitesimal length at the crack location. In order to find the cracks in the pipe, the vibration-based method related to the modal properties of the pipe is utilized. In the modal analysis, the mass and stiffness matrices influence the dynamic properties of the pipe. It is assumed that the mass matrix remains unchanged after the crack initiation, while the corresponding stiffness matrix changes. The stiffness matrix of a cracked element can be formulated by the finite element method with two unknown parameters: location and depth of the crack. Using the eigensolution for an undamped dynamic system to formulate the objective function yields to a complicated optimization problem, which can be solved by an iterative numerical optimization method. Among the optimization approaches, the Artificial Bee Colony (ABC) algorithm is a simple and flexible technique for minimizing the objective function. In this paper, the analytical model is utilized to find the size and position of cracks in a pipe using the ABC algorithm and subsequently some numerical examples are examined in order to assess the accuracy of the method. The results show that the proposed method is able to acceptably estimate the location and depth of multiple cracks in the straight pipes as well as curved ones.


crack detection, non-leaking crack, Artificial Bee Colony algorithm, thick-walled pipe, eigensolution

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How to Cite

Amir Banimahd, S., Amir Rahemi, M. “Multiple Crack Detection in Thick-walled Pipes Using Artificial Bee Colony Algorithm”, Periodica Polytechnica Civil Engineering, 65(3), pp. 866–877, 2021.



Research Article