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.