Granite corrosion fatigue life prediction method based on approximate conformal dimension evolution

By using an approximate conformal dimension evolution method, the problem of a single dimension in the damage evolution characterization in the prediction of corrosion fatigue life of granite is solved. This method enables effective quantification of the dynamic changes of the corrosive medium and the crack network, thereby improving the prediction accuracy and engineering applicability.

CN122150031APending Publication Date: 2026-06-05LULIANG UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
LULIANG UNIV
Filing Date
2026-03-26
Publication Date
2026-06-05

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Abstract

The application discloses a granite corrosion fatigue life prediction method based on approximate conformal dimension evolution, relates to the technical field of material damage mechanics, and comprises the following steps: collecting crack images under different cycle numbers of granite subjected to the action of corrosion medium and cyclic load, and constructing a crack set; calculating the approximate conformal dimension of each observation point after pretreatment and obtaining an evolution sequence by monotonicization; driving to establish a discrete damage evolution relationship by using a dimension increment, and calibrating parameters by using early data; and extrapolating damage accumulation of an unobserved interval, and determining the prediction life when a threshold is reached. The application integrates corrosion parameters into edge weights, realizes joint measurement of environment and crack geometry, selects the minimum box dimension by traversing parameters, overcomes single measurement limitations, depicts a corrosion fatigue accumulation process by using an increment-driven recursive model, realizes effective prediction under partial life data by using two-stage calibration and early data extrapolation, and improves engineering practicability and early warning capability.
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