Mass concrete pouring damage cracking prediction and grading evaluation method considering shrinkage effect

By combining numerical models with sensor monitoring, the problem of predicting and classifying cracks in large-volume concrete structures has been solved. This approach enables comprehensive identification and graded management, improves prediction accuracy and operability, reduces the risk of cracks and leaks, provides executable graded management outputs, and ensures structural safety.

CN122021189AActive Publication Date: 2026-05-12SHANDONG UNIV
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Patent Information

Application Number
CN202610459414.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-09
Publication Date
2026-05-12
Estimated Expiration
2046-04-09

AI Technical Summary

Technical Problem

Existing technologies are insufficient for intuitive and comprehensive evaluation of the cracking range, spatial distribution, and risk zoning of large-volume concrete structures. Furthermore, in engineering applications, there are problems such as insufficient calibration of hydration heat release parameters, inadequate consideration of the changes in boundary heat transfer over time, simplified coupling treatment of shrinkage effect and temperature history, and lack of closed-loop verification between monitoring data and model results. These issues limit the accuracy of crack prediction and the specificity of measures.

Method used

By employing numerical models combined with sensor monitoring, the temperature, stress, and damage fields during construction are simulated. The shrinkage effect of concrete and the time-varying characteristics of the material are considered to achieve full-domain identification and graded evaluation, including thermal analysis, stress analysis, and damage analysis. The model is then validated and corrected to provide accurate cracking prediction and graded evaluation.

Benefits of technology

It improves the accuracy and operability of crack prediction for large-volume concrete, reduces the risk of cracks and leakage, realizes the transformation from point-based judgment to full-area identification and hierarchical management, provides executable hierarchical management output, provides clear basis for temperature control and curing measures, and ensures structural safety.

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Abstract

The invention relates to the technical field of concrete structure engineering, and provides a mass concrete pouring damage cracking prediction and grading evaluation method considering a shrinkage effect, and the method comprises the steps: carrying out the layered modeling in ABAQUS according to a pouring scheme, and simulating the construction through a life-death unit; calculating a temperature field based on the HETVAL subprogram composite index hydration heat release and the FILM subprogram time-varying heat transfer boundary; arrhenius equivalent age coupling ACI 209R-92 shrinkage is introduced through a USDFLD and UEXPAN subprogram, and age evolution of an elastic modulus and a thermal expansion coefficient is realized in combination with a UFIELD subprogram, so that a temperature-shrinkage stress field is obtained; a CDP model is adopted to calculate pulling / pressing damage and output a damage cloud picture, three-level maintenance crack control measures are given according to damage factor partitions, and parameters are checked in combination with field temperature / strain monitoring. According to the scheme, transformation from point discrimination to global identification and hierarchical management and control is realized, the temperature field, the shrinkage effect and the time-varying characteristics of the material are considered, the prediction precision and operability are improved, the crack and leakage risks are reduced, the durability is improved, and the rework cost is reduced.
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