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Structural health monitoring methodologies devised over the past two decades have increasing shown improved
robustness in capability to identify the onset of structural damage and locate the source of the damage. However, the
pathway to prognostication and life-cycle assessment through structural health monitoring remains stalled by a lack of
success in the diagnostic step of experimentally quantifying the severity of damage in suitable, engineering quantities. Of
the methods devised, strain energy approaches have demonstrated not only strength in identifying and localizing
structural damage but also uniquely provide a theoretical basis for quantifying damage through measurement of relative
stiffness loss in individual members. Conventional applications of strain energy methods use distributed accelerometers,
often being single-axis and oriented in the same direction. The limited degrees-of-freedom measured limits the modal
parameter extraction to a reduced subset and yields only partial reconstruction of the strain energy in the system.
Furthermore, it has been shown experimentally and proven analytically that improvement in strain energy methods
through increased spatial density of the sampling array is constrained by the effect of measurement noise on the accuracy
of the numerical computations. In this paper, alternative sensor topologies are explored for improving the reconstruction
of strain energy estimates. An experimental component of the research includes strain energy estimates for a fixed-free
beam heavily instrumented with accelerometers. Prescribed damage is incrementally applied to the beam to permit a
basis for comparison amongst the sensor topologies in addressing the damage diagnostics problem with specific
emphasis on quantification of severity through stiffness loss.
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