Forewarning of Bridge Failure Without Algorithm Training

The invention relates to forewarning methods and more specifically to methods of forewarning of structural failure. Here, we use Griffith’s criterion for failure, with crack growth induced by structural deformations under load (tri-axial acceleration) in combination with a statistical criterion for forewarning under cyclic loading. This disclosure combines these ideas to teach a method to forewarn of structural failure under arbitrary loading (as measured by tri-axial acceleration) to extract the mechanical power that goes into growing the crack that causes failure.

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