Abstract
This paper presents and evaluates a damage identification system for reinforced concrete (RC) slab-type structures based on non-destructive vibration testing, Random decrement (RD) signal processing technique, and embedded smart network of fiber-optic sensors. The proposed system aims to overcome the challenges associated with the use of electrical sensors and signal processing of noisy dynamic data. Two experimental modal analysis investigations have been conducted. First modal testing focuses on investigating the capability of fiber-optic sensors and Multi-channel random decrement (MCRD) processing technique to locate damage in RC slabs through changes in the first mode shape response with damage. The second modal testing focuses on the detection of damage intensity using the RD technique through the change in frequency and damping dynamic parameters.
 The results show that RD technique can be used effectively to extract the free vibration response of RC slab-type structures; fiber-optic sensors are more sensitive to capture damage severity in comparison to electrical accelerometer sensors, especially, at steel yielding and failure load; MCRD technique can be used effectively to generate mode shapes for RC slabs based on fiber-optic grating FBG sensors measurements. On the other hand, electrical strain gauges were noisy and it was difficult to obtain any measurable data; A damage identification system based on non-destructive vibration testing, MCRD processing technique, and using an embedded smart network of fiber-optic sensors can estimate accurately the damage location through changes in the first mode shape.
Highlights
Structural health monitoring (SHM) is a technology that allows to detect, measure, locate, and record the changes that affect the performance of a structure
The main objective of the presented experimental study is to evaluate the effectiveness of fiber‐optic sensors and Random decrement (RD) technique in detecting and locating the damage in two‐way reinforced concrete (RC) slabs
8 fiber bragg grating (FBG) sensors in two orthogonal arrays are quite sufficient for localizing ongoing damage on two‐way slab using Multi‐channel random decrement (MCRD) mode shape analysis. Another advantage of this damage monitoring system is that after repairing it can show how satisfactory would be the repair procedure. This experimental investigation aims to develop a practical and reliable SHM strategy for RC two‐way slabs in order to overcome the challenges associated with the use of electrical sensors and signal processing algorithm of noisy dynamic data
Summary
Structural health monitoring (SHM) is a technology that allows to detect, measure, locate, and record the changes that affect the performance of a structure. First modal testing focuses on investigating the capability of FBG sensors and MCRD processing technique to locate damage in two‐ way RC slabs. To check the feasibility of the FBG sensing system and MCRD technique in the identification of damage location of two‐way RC slabs, the test specimens are supported at the four corners as described, the FBG sensors and electrical strain gauges are connected to the monitoring system
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