Cement solidification strength ultra-early prediction method

Abstract

The invention discloses a cement solidification strength ultra-early prediction method, and belongs to the foundation treatment and sludge solidification. The method comprises the following steps: determining a series of model fitting parameters unrelated to temperature and proportion by development related preliminary experiment at an investigation stage based on a strength increasing model in consideration of the cement solidification sludge under the temperature influence, and then sampling at the cement solidification sludge at the construction stage, and performing early strength acceleration testing under a predetermined high-temperature condition, and predicting the middle and late strength value under the cement solidification sludge construction environment based on the strength testing value under the early high-temperature condition. The cement solidification strength ultra-early prediction method, and belongs to the foundation treatment and sludge solidification disclosed by the invention is simple in operation and high in accuracy, the middle and late period strength prediction can be performed at the early stage of the construction, the early quality control of the cement solidification sludge filling engineering can be realized, the optimal mixing proportion at the construction field can be adjusted as early as possible under the guidance, the problem that the strength sampling inspection is substandard after the construction is finished can be effectively avoided, the curing agent cost and the later solidification cost can be obviously reduced.

Description

technical field [0001] The invention belongs to the fields of foundation treatment and silt reinforcement in civil engineering, port channel engineering, land reclamation engineering, etc., and more specifically relates to a super early prediction method for cement-solidified silt strength. Background technique [0002] The construction and maintenance of existing port waterways, the cleaning and expansion of inland rivers and lakes and other projects will produce a huge amount of dredged silt. The terminal treatment of such a huge amount of dredged silt has always been a problem that plagues the academic and engineering circles. Among them, the use of cement to solidify the silt Reusing dredged silt as a resource is an effective treatment method. Typically, the silt after cement solidification is used as filler for airport / embankment construction, depression leveling, reclamation and land reclamation, etc., which can not only solve the problem of sand It is an excellent slu...

AI Technical Summary

Problems solved by technology

[0003] However, in the actual construction process, for samples of different batches of cement-cured dredged silt, there are significant differences in the moisture content, particle gradation and cement content of the silt, resulting in relatively large differences in the strength of the cement-cured silt obtained after treatment.

Moreover, due to its high filling rate and large engineering volume, a small difference in strength will cause a great impact. When the strength is too high, it will cause great waste. When the strength is insufficient, excavation or reinforcement will cause greater waste. , and it is difficult to realize in engineering, so there is an urgent need for a quality control method that can predict the strength of cement-solidified silt in the early stage of construction

[0004] There are mainly two existing quality control methods: one is to measure the unconfined compressive strength q of cement-solidified sludge at 28d and 91d by UCT (unconfined compressionstrength, unconfined compressive strength test) u , this method is essentially a post-construction quality inspection method; the second is to test the cement-silt mixture in the flow-plastic state through the Flow Value Test experiment (hereinafter referred to as FVT) in the early stage of the project, but related research has proved its properties There is no obvious correlation with the late intensity value, that is, the existing quality control methods cannot really achieve the purpose of early quality prediction and control, so it is urgent to find an effective new method for early quality control

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