Corcoran, Joseph; Imperial College; United Kingdom
Corcoran, J.; Imperial College London; United Kingdom
Session: Structural Health Monitoring 1
Time: 14:30 - 14:50
Advances in battery power, wireless communication and transducers make permanently installed sensors an increasingly attractive proposition. Permanently installed sensors facilitate frequent measurements and therefore introduce improved time domain resolution to situations where previously manual inspection-type measurements were infrequent. A key motivation for frequent data collection is to establish ‘trends’ in data; it is proposed that the rate of change of damage, or symptoms of damage, will provide warning to preclude failure. Numerous damage mechanisms are examples of positive feedback; they are ‘self-accelerating’ with an increasing rate of damage towards failure. The positive feedback leads to a common empirical relationship (Voight, 1988, 1989) describing the time-response of the system which allows prediction of the point of criticality. Data from fatigue, creep crack growth and volumetric creep damage experiments are used to demonstrate that failure time can be accurately predicted well in advance of failure. The proposed methodology provides a widely applicable framework for utilising newly available near-continuous data to predict time to failure in a range of application areas including engineering, geophysics, and medicine.
Voight, B. ‘A method for prediction of volcanic eruptions’. Nature, 332, 1988
Voight, B. ‘A relation to describe rate-dependent material failure’. Science, 243, 1989