Applicability study of average temperature prediction models for frozen curtains ultra-low temperature freezing conditions
LI Wenbo
GAO Wei
Abstract：Artificial ground freezing(AGF)technology relies on the average temperature of the freezing curtain as a critical parameter for evaluating freezing effectiveness and structural safety.To assess the applicability of existing theoretical models under ultra-low temperature(-50 ℃)freezing conditions,this study conducted model tests and theoretical analyses to compare the prediction accuracy of classi-cal algorithms including the Trubaczov model,Bakholdin model,"Chengbing"formula,and equivalent cross-section method.Results demonstrate that the"Chengbing"formula maintains predic-tion errors below 8％under both conventional and ultra-low temperature conditions.However,its ac-curacy significantly deteriorates when refrigerant flow rates drop below 3 m3/h due to altered heat transfer mechanisms.Meanwhile,Bakholdin-derived models(e.g.,equivalent trapezoidal and triangular meth-ods)systematically underestimate temperatures by approximately 25％compared to measured values,as they neglect the time-varying effects of latent heat during phase transitions.This research clarifies the applicability limitations of traditional models in ultra-low temperature freezing scenarios,providing theoretical foundations for optimizing engineering design in ultra-low temperature freezing projects.
Keywords：artificial ground freezingaverage temperature of frozen curtainsultra-low temperature freezing"Chengbing"formulaequivalent cross-section method
Publication Date：2025-04-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 60-65 )