High-altitude rotary bored pile construction parameter dynamic optimization method based on big data
By using big data optimization methods, combined with Bayesian parameter calibration and bidirectional coupling iterative calculation, the coupling problem of bubble expansion and coalescence effect in rotary drilling pile construction in high-altitude permafrost areas was solved, achieving effective control of concrete filling coefficient uniformity and permafrost thermal disturbance, thus improving construction efficiency and quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGXI HYDROPOWER ENG BUREAU
- Filing Date
- 2026-06-25
- Publication Date
- 2026-07-24
AI Technical Summary
In high-altitude permafrost regions, during the construction of rotary cast-in-place piles, existing technologies lack the coupling correction for the thermodynamic expansion effect and bubble coalescence effect of bubbles under low-pressure environments. This leads to uneven distribution of the concrete filling coefficient and expansion of the permafrost thawing zone, making it impossible to achieve an effective balance between filling quality and permafrost thermal disturbance.
A big data-based dynamic optimization method for construction parameters is adopted. Through Bayesian parameter calibration and bidirectional coupled iterative calculation, combined with multi-constraint differential evolution optimization, the grouting rate and duct lifting sequence are dynamically adjusted to optimize construction parameters in order to achieve uniformity of filling coefficient and minimize melting zone thickness.
It improves the accuracy and reliability of construction parameters, ensures the quality of concrete filling while reducing thermal disturbance of frozen soil, and realizes dynamic optimization and real-time adjustment of the construction process.
Smart Images
Figure CN122452452A_ABST