A novel damage index for online monitoring of RC slabs under monotonic loading by integration of process controlling into acoustic emission technique

Abstract

This study introduces a novel structural health monitoring scheme for cementitious composite slabs with the aid of acoustic emission (AE) technique coupled with statistical process controlling (SPC) method. The adopted framework is an integrated monitoring solution that effectively relates current state (damaged) to reference state of the structure. Evaluation of the latter was made possible using autoregressive model incorporating a set of damage-sensitive feature. In order to provide a benchmark damage indicator, the collected data were processed using control chart analysis. The damage indicators for the former was similarly obtained and then compared with the benchmark to gauge the structural damage. These control charts offer a robust framework meticulously identifying inconsistency in the damage-sensitive feature imposed over the monitoring period. Linear and quadratic projections were also incorporated into SPC model to enhance identification of system transition to other damage states.

Experimental Study on A Reinforced Concrete Element to Extract the Durability Index with the Automated Visualization

“…For this manner, several sensors (such as humidity, temperature, pressure, load, potential hydrogen (PH), hardness, chemical composition, Acoustic emission (AE), and others) have been exploited for data gathering and damage detection [7,13]. AE was used for damage monitoring in reinforced concrete structures [4,5]. In this manner, AE applies to highlight internal damage progress [6].…”

An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade

“…These can be physical quantities, e.g. natural frequencies and mode shapes, which are commonly used [14][15][16][17], or DSFs that are considered more abstract such as statistical moments [18] and coefficients of parametric or non-parametric models [19][20][21]. Subsequently, the DSFs can be processed by linear or non-linear transformation tools, e.g.…”

Time Series Analysis of Acoustic Emissions in Prefabricated Utility Tunnel During the Sealing Test

“…However, these approaches need to generate different sorts of waves to the monitored structure actively, from which the formed internal damage can be interpreted. Monitoring the damage development process of a structure passively can be achieved using the acoustic emission (AE) technology, which has been widely used for health monitoring of rock, concrete, and metal structures due to its non-destructive, continuous, and real-time characteristics [23][24][25][26]. When a structure is subjected to external or internal loads, deformation occurs and can lead to elastically stored energy.…”