Experimental validation of a new statistical process control feature for damage detection

• Published in: Mechanical systems and signal processing Vol. 25; no. 7; pp. 2513 - 2525
• Main Authors: Zapico-Valle, J.L., García-Diéguez, M., González-Martínez, M.P., Worden, K.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.10.2011; Elsevier
• Subjects: Applied sciences; Bolts; Building structure; Buildings. Public works; Construction (buildings and works); Damage detection; Exact sciences and technology; Extreme value theory; Fracture mechanics (crack, fatigue, damage...); Frames; Fundamental areas of phenomenology (including applications); Global health monitoring; Loosening; Mathematical models; Measurement and testing methods; Metal structure; Novelty detection; Pattern recognition; Physics; Signal processing; Solid mechanics; Statistical process control; Structural and continuum mechanics; Structural steels; Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...); Statistical process control; Global health monitoring; Extreme value theory; Pattern recognition; Damage detection; Novelty detection; Bolted joint; Metallic structure; Measurement; Free vibration; Frame construction; Bolt; Story(building); Cantilever; Experimental study; Modeling; Time domain method; Extreme value; Vibrational mode; Monitoring; Defect detection; Damaging
• ISSN: 0888-3270; 1096-1216
• DOI: 10.1016/j.ymssp.2011.02.007

A novel statistical process control-based method for damage detection in cantilever-like structures is presented in this paper . It is based on time-domain data obtained from the free vibrations of the first mode of the structure, measured at only one point. The concept of signal length is introduced here as a feature for statistical process control. A statistical model consistent with extreme value theory is fitted to the operational data and used to establish control limits. A strategy based on controlling runs is adopted to increase the sensitivity of the detection. The procedure was applied to a four-storey steel frame, which was subjected in turn to mass and stiffness modifications by adding masses or loosening bolts in a beam–column connection. The results were successful; the proposed procedure was able to detect an increase of 0.04% of the total mass of the frame and loosening of one out of 152 bolts.