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Journal of AE, Volume 27, 2009 (ca. 35 MB) - AEWG

Journal of AE, Volume 27, 2009 (ca. 35 MB) - AEWG

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MONITORING THE CIVIL INFRASTRUCTURE WITH ACOUSTIC<br />

EMISSION: BRIDGE CASE STUDIES<br />

Abstract<br />

D. ROBERT HAY 1 , JOSE A. CAVACO 2 and VASILE MUSTAFA 1<br />

1) TISEC Inc., <strong>27</strong>55 Pitfield Boulevard, Montreal, QC, H4S 1T2 Canada;<br />

2) Canadian National Railways, Walker Operations Bldg, Floor 2,<br />

10229 1<strong>27</strong> Avenue, Edmonton, AB, T5E 0B9 Canada<br />

Acoustic emission (<strong>AE</strong>) is one <strong>of</strong> an evolving array <strong>of</strong> inspection methods being applied to<br />

bridge inspection. The authors have used it as one <strong>of</strong> an ensemble <strong>of</strong> methods for bridge<br />

condition assessment and to prescribe maintenance follow-up actions with major financial<br />

impli<strong>ca</strong>tions. Over twenty years <strong>of</strong> <strong>AE</strong> appli<strong>ca</strong>tion in risk-informed approach to maintenance<br />

management, in which <strong>AE</strong> has been applied to over 400 bridges out <strong>of</strong> an ensemble <strong>of</strong> over 1000<br />

bridges in the authors’ bridge maintenance experience, has clearly established a role for <strong>AE</strong>. This<br />

experience has also provided a combination <strong>of</strong> experimental and theoreti<strong>ca</strong>l input for enhanced<br />

interpretation consistent with established codes and standards. Positioning <strong>of</strong> <strong>AE</strong> in the<br />

risk-informed maintenance management context, its appli<strong>ca</strong>tion in bridge inspection and<br />

interpretation through the recommendations it provides and <strong>ca</strong>se-study examples are described.<br />

Keywords: Ageing, Damage quantifi<strong>ca</strong>tion, Infrastructure, Maintenance management, Structural<br />

integrity<br />

Inspection-Based Bridge Maintenance<br />

The inspection component <strong>of</strong> contemporary bridge-maintenance policies and programs extends<br />

beyond visual inspection to include a wide range <strong>of</strong> monitoring methods. These range from<br />

inspection that detects and assesses fatigue crack growth, through methods that provide characterization<br />

over span lengths, to methods that monitor the overall bridge for displacement and settling.<br />

The combination <strong>of</strong> these diverse inspection and monitoring methods permits not only the<br />

detection <strong>of</strong> fault conditions but also assists in diagnosing the <strong>ca</strong>use <strong>of</strong> the condition and in recommending<br />

follow-up maintenance actions.<br />

Infrastructure maintenance-management programs for load-bearing structures ensure their<br />

safe, reliable and economic operation without undue risk to public health and safety. The infrastructure<br />

must be fit for service with a probability <strong>of</strong> satisfactory performance according to established<br />

performance functions under both specific service and extreme operating and environmental<br />

conditions for the duration <strong>of</strong> its design life. Accordingly, the total ownership cost <strong>of</strong> a<br />

bridge or any other infrastructure component throughout its lifecycle is affected by both the types<br />

<strong>of</strong> maintenance policies selected and the implementation schedule for these policies as well as<br />

the risk associated with unplanned or unscheduled repairs arising from contingencies such as accidental<br />

damage.<br />

The benefits <strong>of</strong> both risk-based and risk-informed approaches used extensively in the nuclear<br />

and aerospace industries are starting to be appreciated in the civil infrastructure. Quantitative risk<br />

assessment (QRA) is the structured and systematic examination <strong>of</strong> possible hazards associated<br />

with a structure, facility or process. In the risk-based approach, decision-making is solely based<br />

on the numeri<strong>ca</strong>l results <strong>of</strong> a risk assessment. It places a heavy reliance on risk assessment results<br />

J. Acoustic Emission, <strong>27</strong> (<strong>2009</strong>) 1 © <strong>2009</strong> Acoustic Emission Group

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