CN112597638A - Drilling technology-based core freeze-thaw cycle temperature decay model building method - Google Patents
Drilling technology-based core freeze-thaw cycle temperature decay model building method Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 67
- 238000005553 drilling Methods 0.000 title claims abstract description 18
- 238000005516 engineering process Methods 0.000 title claims abstract description 11
- 238000007710 freezing Methods 0.000 claims abstract description 55
- 230000008014 freezing Effects 0.000 claims abstract description 52
- 238000010257 thawing Methods 0.000 claims abstract description 32
- 238000012360 testing method Methods 0.000 claims abstract description 26
- 238000010309 melting process Methods 0.000 claims description 25
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 11
- 238000002844 melting Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 claims description 5
- 239000003755 preservative agent Substances 0.000 claims description 4
- 230000002335 preservative effect Effects 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000009738 saturating Methods 0.000 claims description 4
- 230000001351 cycling effect Effects 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 230000008018 melting Effects 0.000 claims description 3
- 238000002360 preparation method Methods 0.000 claims description 3
- 238000007789 sealing Methods 0.000 claims description 3
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- 239000011435 rock Substances 0.000 abstract description 44
- 230000015556 catabolic process Effects 0.000 abstract description 2
- 238000006731 degradation reaction Methods 0.000 abstract description 2
- 238000011160 research Methods 0.000 description 5
- 230000006866 deterioration Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
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- 238000002474 experimental method Methods 0.000 description 1
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- 238000010998 test method Methods 0.000 description 1
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Abstract
A rock core freeze-thaw cycle temperature decay model building method based on a drilling technology is characterized in that a rock drilling method is used as a basis, temperature sensors are used for measuring the internal temperature change of a freeze-thaw cycle rock sample, the change rule that the time required by complete freeze-thaw cycle, the freezing process and the thawing process is increased along with the cycle number is analyzed, a rock sample freeze-thaw cycle temperature degradation model is built based on the change rule, the internal temperature change degree of the rock can be rapidly calculated, and the time required by the complete freeze-thaw cycle, the freezing process and the thawing process is estimated. By using the model, the internal temperature change degree of the rock can be rapidly calculated, the time required by complete freeze-thaw cycle, the freezing process and the thawing process is estimated, and a basis is provided for a freeze-thaw cycle test.
Description
Technical Field
The invention relates to a rock freezing and thawing cycle test, in particular to a method for establishing a core freezing and thawing cycle temperature decay model based on a drilling technology.
Background
The area of cold and severe cold areas in China accounts for more than 70% of the area of the national soil, and the area of permafrost areas accounts for about 22.4% of the area of the national soil, so that the freeze-thaw cycle phenomenon generally exists in various geotechnical engineering. Along with the gradual increase of the day and night temperature difference and the four seasons temperature difference, the influence of the freeze-thaw cycle gradually begins to increase. During the freeze-thaw cycle, the main factors affecting the degree of rock deterioration are: lithology, water content, cycle times, cycle temperature range, cycle duration, etc. At present, a great deal of research is carried out on the physical characteristics and mechanical attenuation models of the freeze-thaw cycle of the rock. Zhang Guangze and Wang dong et al disclose a hard rock freeze-thaw damage long-term deformation model based on uniaxial compression test in the patent "construction method of hard rock freeze-thaw damage long-term deformation model". Liujie and Zhan et al disclose that a prediction model of the deterioration of the elastic modulus of the progressive damage is established based on the CT technology in a patent 'a method for researching the progressive deterioration rule of the rock'. The patent of the method for acquiring the content of unfrozen water in rocks under the condition of freeze-thaw cycle, such as Tansjun, Suzhou boat and the like, provides a model of the method for acquiring the content of the unfrozen water in rocks under the condition of freeze-thaw cycle. In the Xiyandong et al, the distribution of microcracks in the rock is considered in the text, "rock freeze-thaw damage constitutive model research based on microcrack deformation and expansion", the strain under the rock freeze-thaw condition is decomposed into initial damage strain, additional damage strain and plastic strain, and an elastoplastic freeze-thaw damage constitutive model is established. In summary, in the past, scholars have conducted intensive research on various physical characteristics and mechanical attenuation models of rocks, but have not conducted systematic research on the change rule of the time for the entire rock sample to reach a specified temperature along with the increase of the number of freeze-thaw cycles. Researches show that along with the increase of the times of freeze-thaw cycles, corresponding change rules exist in the time required for a rock sample to reach a specified temperature, and the freeze-thaw cycle duration of a rock freeze-thaw cycle test used by a plurality of scholars at present is the freeze-thaw cycle test specification time: freezing process for 4h, and thawing process for 4 h. But the change rule of the time required for the rock sample to reach the specified temperature along with the increase of the number of times of freeze-thaw cycles in the freezing process or the thawing process is not analyzed.
Disclosure of Invention
In order to overcome the defects of the prior art, the time law of the temperature required by the rock to reach the complete freeze-thaw cycle under the condition of the freeze-thaw cycle test is obtained. The method is based on a standard rock sample drilling technology, utilizes a temperature sensor to measure, accurately measures the gradual change rule of the temperature of the core position of the rock sample in the freeze-thaw cycle process, and analyzes the rule that the central temperature of the rock sample changes along with times. And calculating the change rule of the time required by the rock sample to reach the complete freeze-thaw cycle along with the cycle times, and establishing a rock freeze-thaw cycle temperature decay model according to the change rule.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a core freeze-thaw cycle temperature decay model building method based on a drilling technology comprises the following steps:
1.1 sample preparation: processing the obtained original sample to prepare a standard sample; then the longitudinal wave velocity V of each sample is measured by a sound wave testerpDividing samples with similar wave velocities into a group, drilling holes at the center of the samples in the same group, saturating the samples with water, placing a sensor, and sealing holes and wrapping with a preservative film after the drilling and the water saturation are finished;
1.2 Freeze-thaw cycling test: the freezing temperature is carried out to be T1Melting temperature T2Performing freeze-thaw cycle test, and recording data;
1.3 dataAnd (4) classification: segmenting the acquired test data by T2Temperature bound, divided by T1To T2Freezing process and T2To T1The melting process is carried out, and the materials are numbered according to the sequence of the segmentation; setting the temperature region value to T1-1 ℃ to T2Removing redundant test error values larger than the temperature region value at +1 ℃, and extracting freezing process and melting process values under different freezing and thawing cycle times;
1.4 data analysis: extracting data values of time length required by temperature change in the freezing process and the melting process under different freezing and thawing cycle times, and drawing the data values of the time length required by the temperature change into a scatter diagram;
1.5 establishing a duration model: because the cycle duration D of the freezing process and the cycle duration R of the melting process satisfy the power function distribution, the power function T is also adopted as anb+ c as initial model, substituting data, calculating influence coefficients a, b and c in freezing and melting process to obtain temperature T in freezing processDThe attenuation model is:
melting Process temperature TRThe attenuation model is:
wherein the unit of T is h, TDTime required for freezing process, a1、b1、c1For the influence coefficient of the freezing process, TRTime required for the thawing Process, a2、b2、c2N represents the number of freeze-thaw cycles as an influence coefficient of the thawing process;
1.6 establishment of cycle duration: based on the freezing process temperature attenuation model and the melting process temperature attenuation model, adding to obtain the freeze-thaw cycle duration: t ═ TD+TR。
Further, in step 1.1, the size of the standard sample is: phi 50mm x 100 mm.
Still further, in the step 1.3, the freezing temperature is T1At-20 deg.C, -30 deg.C or-40 deg.C, and a melting temperature T2At 20 ℃, 30 ℃ or 40 ℃.
The technical conception of the invention is as follows: the method is based on a rock drilling method, utilizes the temperature sensor to measure the internal temperature change of the freeze-thaw cycle rock sample, analyzes the change rule that the time required by the complete freeze-thaw cycle, the freezing process and the thawing process is increased along with the cycle times, establishes a rock sample freeze-thaw cycle temperature degradation model based on the change rule, can achieve the purpose of rapidly calculating the internal temperature change degree of the rock, and pre-estimates the time required by the complete freeze-thaw cycle, the freezing process and the thawing process.
The invention has the following beneficial effects: the change rule of the complete freeze-thaw cycle of the rock sample, the change rule of the freeze process and the change rule of the cycle time of the freeze process along with the increase of the cycle times of the rock sample are analyzed, a freeze-thaw cycle temperature attenuation model is built based on the change rule, the degree of temperature change in the rock can be rapidly calculated by using the model, the time required by the complete freeze-thaw cycle, the freeze process and the melt process is estimated, and a basis is provided for a freeze-thaw cycle test.
Drawings
Fig. 1 is a graph of the internal temperature change of a rock sample under different freezing-thawing cycle times n-5.
Fig. 2 is a graph of the internal temperature change of the rock sample under different freezing-thawing cycle times n-10.
Fig. 3 is a graph of the internal temperature change of the rock sample under different freezing-thawing cycle times n-15.
Fig. 4 is a graph of the internal temperature change of the rock sample under different freezing-thawing cycle numbers n-20.
Fig. 5 is a graph of the internal temperature change of the rock sample under different freezing-thawing cycle times n-25.
Fig. 6 is a graph of the internal temperature change of the rock sample under different freezing-thawing cycle numbers n-30.
Fig. 7 is a graph of the internal temperature change of the rock sample under different freezing-thawing cycle times n-35.
Fig. 8 is a graph of the internal temperature change of the rock sample under different freezing-thawing cycle numbers n-40.
Fig. 9 is a graph of the time required for the freezing process as a function of the number of freeze-thaw cycles.
Fig. 10 is a graph of time required for the thawing process as a function of the number of freeze-thaw cycles.
Fig. 11 is a graph of time required for a complete freeze-thaw cycle process as a function of the number of freeze-thaw cycles.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Referring to fig. 1 to 11, a core freeze-thaw cycle temperature decay model building method based on a drilling technology includes the following steps:
1.1 sample preparation: processing the obtained original sample to prepare a standard sample; then the longitudinal wave velocity V of each sample is measured by a sound wave testerpDividing samples with similar wave velocities into a group, drilling holes at the center of the samples in the same group, saturating the samples with water, placing a sensor, and sealing holes and wrapping with a preservative film after the drilling and the water saturation are finished;
1.2 Freeze-thaw cycling test: the freezing temperature is carried out to be T1Melting temperature T2Performing freeze-thaw cycle test, and recording data;
1.3 data classification: segmenting the acquired test data by T2Temperature bound, divided by T1To T2Freezing process and T2To T1The melting process is carried out, and the materials are numbered according to the sequence of the segmentation; setting the temperature region value to T1-1 ℃ to T2Removing redundant test error values larger than the temperature region value at +1 ℃, and extracting freezing process and melting process values under different freezing and thawing cycle times;
1.4 data analysis: extracting data values of time length required by temperature change in the freezing process and the melting process under different freezing and thawing cycle times, and drawing the data values of the time length required by the temperature change into a scatter diagram;
1.5 establishing a duration model: because the cycle duration D of the freezing process and the cycle duration R of the melting process satisfy the power function distribution, the power function T is also adopted as anbAnd + c is used as an initial model, data is substituted into the initial model, influence coefficients a, b and c in the freezing process and the melting process are calculated, and the freezing process temperature attenuation model is obtained as follows:
the melting process temperature decay model is as follows:
wherein the unit of T is h, TDTime required for freezing process, a1、b1、c1For the influence coefficient of the freezing process, TRTime required for the thawing Process, a2、b2、c2N represents the number of freeze-thaw cycles as an influence coefficient of the thawing process;
1.6 establishment of cycle duration: based on the freezing process temperature attenuation model and the melting process temperature attenuation model, adding to obtain the freeze-thaw cycle duration: t ═ TD+TR。
In the embodiment, a tuff freeze-thaw cycle test is taken as an example to analyze the change condition of the freeze-thaw cycle time along with the increase of times, and the method comprises the following specific steps:
(1) taking tuff in Ningbo areas of Zhejiang, processing the obtained samples and preparing the samples into samples with phi 50mm multiplied by 100mm, wherein the samples meet the requirements of the test method of the international rock mechanics society, the samples with obvious defects are removed, the samples with similar wave speeds are divided into one group by using a sound wave instrument, and the samples in the same group are drilled with the central position, the hole diameter is 6mm, and the depth is 25 mm;
(2) the temperature in the low temperature test chamber is adjusted to-20 ℃, and the temperature in the constant temperature chamber is adjusted to 20 ℃ (the deviation of the temperature range of the test chamber is +/-1 ℃). Putting the tuff sample drilled with the holes into a drying box at 107 ℃ for drying, taking out the sample after 24 hours, saturating the sample by adopting a natural water saturation method (the water temperature is 20 ℃), taking out the sample after 48 hours, installing a temperature sensor, and plugging the holes by adopting plasticine at the hole openings, thereby preventing the influence of the external temperature on the sensor as much as possible. After the test sample is installed, the test sample is wrapped by the preservative film, so that the influence of a large amount of water loss on the experiment in the freeze-thaw cycle process is prevented.
(3) And (3) putting the processed sample into a low-temperature test, starting a temperature acquisition instrument, and taking out and storing test data when the display value of the temperature acquisition instrument reaches minus 20 ℃ (± 1 ℃). And then putting the taken tuff sample into a thermostat, and taking out and storing data when the display value of a temperature acquisition instrument reaches 20 ℃ (± 1 ℃), namely a freeze-thaw cycle. This process was repeated until the end of the test.
(4) And (3) importing the original data into MATLAB, writing an algorithm program, using a cycle judgment statement, segmenting data when the software judges that the cycle temperature reaches 20 ℃ for the first time, and numbering to be named as first freeze-thaw cycle. The process is circulated, the number increases with the increase of the number of the segments, and finally the segmented data is exported to Excel and plotted, as shown in fig. 1 to 8. And (3) importing the data of the nth freeze-thaw cycle into MATLAB, segmenting the data when the temperature reaches-20 ℃, and extracting the line number data. The two divided sections are named respectively, the first half section is named as the nth freezing process, and the second half section is named as the nth melting process. And (5) circulating the process until all the 40 groups of data are segmented, exporting the completed data to Excel, and drawing.
(6) And importing all line number data by using MATLAB, extracting cycle number values and time values in the data, and exporting Excel.
(7) Introducing Excel of all line number data into Origin, drawing a scatter diagram, fitting by taking a power function as an initial model and taking a vertical coordinate as time and a horizontal coordinate as times to obtain a temperature attenuation model (as shown in fig. 9 and 10) in the freezing process and the melting process, wherein the specific steps are as follows:
and (3) freezing process: t isD＝2.09n0.29-0.14
Wherein: n is the number of freeze-thaw cycles, TDThe time required for the next tuff freezing process is n times of freeze-thaw cycle.
And (3) melting: r is 107.5 (n)0.0014-106.6)
Wherein: n is the number of freeze-thaw cycles, TRThe time required for the next tuff thawing process is n times of freeze-thaw cycle.
(8) Adding the freezing process cycle duration data and the melting process cycle duration data under the same times, drawing a scatter diagram, and fitting by using a fitting tool to obtain a formula that the change rule of the total freezing and thawing cycle duration along with the cycle times meets the power function trend (as shown in figure 11), thereby obtaining the following formula:
T＝6.93n0.14-4.5
wherein: n is the number of freeze-thaw cycles, and T is the time (h) required by the complete freeze-thaw cycle of tuff for n times.
The embodiments described in this specification are merely illustrative of implementations of the inventive concepts, which are intended for purposes of illustration only. The scope of the present invention should not be construed as being limited to the particular forms set forth in the examples, but rather as being defined by the claims and the equivalents thereof which can occur to those skilled in the art upon consideration of the present inventive concept.
Claims (3)
1. A core freeze-thaw cycle temperature decay model building method based on a drilling technology is characterized by comprising the following steps:
1.1 sample preparation: processing the obtained original sample to prepare a standard sample; then the longitudinal wave velocity V of each sample is measured by a sound wave testerpDividing samples with similar wave velocities into a group, drilling holes at the center of the samples in the same group, saturating the samples with water, placing a sensor, and sealing holes and wrapping with a preservative film after the drilling and the water saturation are finished;
1.2 Freeze-thaw cycling test: the freezing temperature is carried out to be T1Melting temperature T2Performing freeze-thaw cycle test, and recording data;
1.3 data classification: segmenting the acquired test data by T2Temperature bound, divided by T1To T2Freezing process and T2To T1The melting process is carried out, and the materials are numbered according to the sequence of the segmentation; setting the temperature region value to T1-1 ℃ to T2Removing redundant test error values larger than the temperature region value at +1 ℃, and extracting freezing process and melting process values under different freezing and thawing cycle times;
1.4 data analysis: extracting data values of time length required by temperature change in the freezing process and the melting process under different freezing and thawing cycle times, and drawing the data values of the time length required by the temperature change into a scatter diagram;
1.5 establishing a duration model: because the freezing process cycle duration D and the melting process cycle duration R satisfy the power function distribution, the freezing process cycle duration D and the melting process cycle duration R satisfy the power function distributionAlso using the power function T ═ anb+ c as initial model, substituting data, calculating influence coefficients a, b and c in freezing and melting process to obtain temperature T in freezing processDThe attenuation model is:
melting Process temperature TRThe attenuation model is:
wherein the unit of T is h, TDTime required for freezing process, a1、b1、c1For the influence coefficient of the freezing process, TRTime required for the thawing Process, a2、b2、c2N represents the number of freeze-thaw cycles as an influence coefficient of the thawing process;
1.6 establishment of cycle duration: based on the freezing process temperature attenuation model and the melting process temperature attenuation model, adding to obtain the freeze-thaw cycle duration: t ═ TD+TR。
2. The method for establishing a freeze-thaw cycle temperature decay model of a core based on a drilling technology according to claim 1, wherein in the step 1.1, the size of the standard sample is as follows: phi 50mm x 100 mm.
3. The method for establishing a freeze-thaw cycle temperature decay model of a core based on a drilling technology as claimed in claim 1 or 2, wherein in the step 1.3, the freezing temperature is T1At-20 deg.C, -30 deg.C or-40 deg.C, and a melting temperature T2At 20 ℃, 30 ℃ or 40 ℃.
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Application publication date: 20210402 |