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https://doi.org/10.1016/0022-460X(83)90910-0

has been cited by the following article:

• TITLE: Detecting Damage in Reinforced Concrete Beams Using Vibrational Characteristics

  AUTHORS: Ho Thu Hien, Nguyen Danh Thang, Nguyen Ngoc Dang

  KEYWORDS: Damage Detection, Vibration Method, Reinforced Concrete Beam, Natural Frequency, Mode Shape

  JOURNAL NAME: Open Journal of Civil Engineering, Vol.12 No.4, December 29, 2022

  ABSTRACT: This paper evaluates two methods of diagnosing damage, Natural frequency and Stiffness-Frequency change-Based damage detection method in reinforced concrete beams under load using vibration characteristics such as natural frequency and mode shape. The research uses finite element method with crack damage instead of deleting or reducing the bearing capacity of the element like in previous studies. First, a theory of the damage diagnosis method based on the change of natural frequency and mode shape is presented. Next, the simulation results of reinforced concrete beams using ANSYS will be compared with the experiment. Particularly, the investigated damage cases are cracks in reinforced concrete beams under loads. Finally, we will evaluate the accuracy of the damage diagnosis methods and suggest the location of the vibration data and specify the failure threshold of the methods.