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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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scoring and targeted intervention of friability, (ii) reduce suspension line development timeline through prediction of optimal growth and elicitation conditions, and (iii) consolidate results into standard
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