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.

[1]  K. Hossain,et al.  Behaviour of composite high performance concrete slab on steel I-beams subjected to static hogging moment , 2017 .

[2]  Mohammad GhasemiGol,et al.  Advanced damage detection technique by integration of unsupervised clustering into acoustic emission , 2019, Engineering Fracture Mechanics.

[3]  Masayasu Ohtsu,et al.  Fracture Mechanics of Corrosion Cracking in Concrete by Acoustic Emission , 2006 .

[4]  Paul Ziehl,et al.  Damage evaluation of prestressed piles to cast in place bent cap connections with Acoustic Emission , 2015 .

[5]  Antolino Gallego,et al.  Evaluation of low-cycle fatigue damage in RC exterior beam-column subassemblages by acoustic emission , 2010 .

[6]  Arash Behnia,et al.  Acoustic Emission Monitoring of Multicell Reinforced Concrete Box Girders Subjected to Torsion , 2014, TheScientificWorldJournal.

[7]  Richard A. Davis,et al.  Time Series: Theory and Methods , 2013 .

[8]  James M. Lucas,et al.  Exponentially weighted moving average control schemes: Properties and enhancements , 1990 .

[9]  Theodore E. Matikas,et al.  Monitoring of the mechanical behavior of concrete with chemically treated steel fibers by acoustic emission , 2013 .

[10]  Mahyuddin Ramli,et al.  Load capacity and crack development characteristics of HCWA–DSF high strength mortar ferrocement panels in flexure , 2012 .

[11]  H. Chai,et al.  Fracture characterization of multi-layer wire mesh rubberized ferrocement composite slabs by means of acoustic emission , 2017 .

[12]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[13]  Wang Congzhe,et al.  橋用途における引抜成形ガラス繊維強化ポリマー積層材の曲げ挙動に及ぼす湿熱エージングの影響【Powered by NICT】 , 2016 .

[14]  Hoon Sohn,et al.  VIBRATION-BASED DAMAGE DETECTION USING STATISTICAL PROCESS CONTROL , 2001 .

[15]  Hoon Sohn,et al.  Structural Health Monitoring Using Statistical Process Control , 2000 .

[16]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[17]  D. Aggelis Classification of cracking mode in concrete by acoustic emission parameters , 2011 .

[18]  N. Barkoula,et al.  Acoustic emission characterization of the fracture process in fibre reinforced concrete , 2011 .

[19]  Surendra P. Shah,et al.  GUIDE FOR THE DESIGN, CONSTRUCTION, AND REPAIR OF FERROCEMENT. , 1988 .

[20]  Masayasu Ohtsu,et al.  Corrosion mechanisms in reinforced concrete by acoustic emission , 2013 .

[21]  Ahmad Zaki,et al.  Monitoring Fracture of Steel Corroded Reinforced Concrete Members under Flexure by Acoustic Emission Technique , 2017 .

[22]  Paul J. Fanning,et al.  Auto-Regression and Statistical Process Control Techniques Applied to Damage Indication in Telecommunication Masts , 2001 .

[23]  Hwa Kian Chai,et al.  Failure prediction and reliability analysis of ferrocement composite structures by incorporating machine learning into acoustic emission monitoring technique , 2016 .

[24]  Andrew S. Whittaker,et al.  Monitoring Crack Propagation in Reinforced Concrete Shear Walls by Acoustic Emission , 2013 .

[25]  R. Sagar Acoustic emission characteristics of reinforced concrete beams with varying percentage of tension steel reinforcement under flexural loading , 2017 .

[26]  A. Benavent‐Climent,et al.  Acoustic emission energy b-value for local damage evaluation in reinforced concrete structures subjected to seismic loadings , 2018 .

[27]  Marwa Abdelrahman,et al.  Acoustic emission based damage assessment method for prestressed concrete structures: Modified index of damage , 2014 .

[28]  Giuseppe Lacidogna,et al.  Durability evaluation of reinforced masonry by fatigue tests and acoustic emission technique , 2014 .

[29]  U. J. Alengaram,et al.  Fracture evaluation of multi-layered precast reinforced geopolymer-concrete composite beams by incorporating acoustic emission into mechanical analysis , 2016 .

[30]  Antolino Gallego,et al.  Damage assessed by wavelet scale bands and b-value in dynamical tests of a reinforced concrete slab monitored with acoustic emission , 2015 .

[31]  Mohamad Fotouhi,et al.  Prediction of delamination growth in laminated composites using acoustic emission and Cohesive Zone Modeling techniques , 2015 .

[32]  John Vantomme,et al.  Detection and evaluation of cracks in the concrete buffer of the Belgian Nuclear Waste container using combined NDT techniques , 2015 .