A humidity weighted average statistical method and device for concrete creep calculation

Abstract

The present application relates to a humidity weighted average statistical method and device for concrete creep calculation, which includes the steps of periodically acquiring humidity data, wherein the humidity data includes the test time and the humidity value corresponding to the test time; acquiring the average humidity value of any time period by the arithmetic mean method; calculating the weight coefficient of any time period according to the influence of the average humidity value on creep in different time periods; and calculating the weighted average humidity value according to the weight coefficient of any time period and the average humidity value of any time period. By setting the weight coefficient, the influence of humidity values ​​on creep in different time periods is added to the calculation, so as to solve the problem that the actual humidity change situation cannot be truly reflected in the related art.

Description

Technical Field

[0001] The invention relates to the field of concrete structures, and in particular to a humidity weighted average statistical method and device for concrete creep calculation. Background Art

[0002] Commercial concrete has become the largest artificial engineering material in the civil engineering industry due to its advantages such as abundant raw material resources, low price and good plasticity. Creep is the inherent time-varying property of commercial concrete material itself. Specifically, it refers to the phenomenon that the strain of concrete continues to increase over time under continuous load. Due to its significant impact on the stress and deformation properties of concrete structures, creep can cause prestress loss in prestressed concrete structures. In large-span beams, creep increases the deflection of beams. Since the total creep strain can be as high as 1-4 times the elastic deformation generated after loading, the adverse effects of concrete creep on the structure cannot be ignored in actual engineering design. In large-volume concrete structures, creep can reduce temperature stress and shrinkage cracks, especially in the stress concentration area of ​​the structure and the structure caused by uneven foundation settlement. The peak stress of such structures can be reduced. These are the beneficial effects of creep on the structure. In order to better monitor and calculate creep and better use this characteristic to reduce adverse effects and increase favorable effects, it is necessary to study the factors affecting concrete creep.

[0003] Relevant studies have shown that humidity is one of the most critical factors affecting creep development. In relevant technologies (ACI 209R, JTG3362), a variety of models are used to calculate creep, and each model requires a constant humidity value to be input when calculating the creep coefficient. In actual engineering, concrete structures are in a natural environment, and it is difficult to ensure constant humidity. Therefore, using a constant humidity value will cause a gap with the actual situation. In some conventional practices, the humidity is monitored and the arithmetic mean is simply taken as a constant humidity value to input into the model for creep calculation.

[0004] Taking into account that the influence of humidity on the creep coefficient is different at different stages of creep development, the influence of humidity on the creep coefficient is greater in the early stage and gradually decreases in the later stage, the use of a simple arithmetic mean cannot truly reflect the actual humidity changes, resulting in large deviations in creep calculations. Summary of the invention

[0005] The embodiment of the present invention provides a humidity weighted average statistical method and device for concrete creep calculation, which adds the influence of humidity values ​​on creep in different time periods into the calculation to solve the problem that the actual humidity changes cannot be truly reflected in the related art.

[0006] On the one hand, an embodiment of the present invention provides a humidity weighted average statistical method for concrete creep calculation, comprising the steps of:

[0007] Regularly acquiring humidity data, wherein the humidity data includes a test time and a humidity value corresponding to the test time;

[0008] Use the arithmetic mean method to obtain the average humidity value for any period of time;

[0009] Calculate the weight coefficient of any time period according to the influence of the average humidity value on creep in different time periods;

[0010] The weighted average humidity value is calculated according to the weight coefficient of the arbitrary time period and the average humidity value of the arbitrary time period.

[0011] In some embodiments, the periodic acquisition of humidity data comprises the steps of:

[0012] Conduct multiple humidity tests and record the test time and humidity value for each test;

[0013] The weight coefficient of any time period is calculated according to the influence of the average humidity value on creep in different time periods, including the steps of:

[0014] The interval between two adjacent tests is regarded as a time period;

[0015] Any time period is recorded as the i-th time period, where i is an integer greater than 0;

[0016] The influence of the average humidity value on creep in different time periods includes:

[0017] The influence of the average humidity value on creep decreases with the increase of i.

[0018] In some embodiments, the periodic acquisition of humidity data comprises the steps of:

[0019] Load the initial time t0 and initial humidity value RH0;

[0020] Perform n humidity tests;

[0021] The method of obtaining the average humidity value of any time period by using the arithmetic mean method comprises the following steps:

[0022] Calculate the average humidity value according to the first formula

[0023] The first formula is:

[0024] Among them, RH i is the humidity value of the i-th humidity test, where i is an integer greater than 0 and less than or equal to n.

[0025] In some embodiments, after obtaining the average humidity value of any time period by the arithmetic mean method, the method further includes the following steps:

[0026] Calculate the average test time according to the second formula

[0027] The second formula is:

[0028] Among them, t i is the test time of the i-th humidity test.

[0029] In some embodiments, the weight coefficient of any time period is calculated according to the influence of the average humidity value on creep in different time periods, comprising the steps of:

[0030] Calculate the humidity correction coefficient H for the i-th time period according to the third formula i ;

[0031] The third formula is:

[0032]

[0033] According to the humidity correction coefficient H of the i-th time period i The weight coefficient is calculated.

[0034] In some embodiments, according to the humidity correction coefficient H of the i-th time period i Calculating the weight coefficient comprises the steps of:

[0035] The weight coefficient W of the i-th time period is calculated according to the fourth formula: i ;

[0036] The fourth formula is:

[0037]

[0038] In some embodiments, the weighted average humidity value is calculated according to the weight coefficient of the arbitrary time period and the average humidity value of the arbitrary time period, comprising the steps of:

[0039] The weighted average humidity value RH is calculated according to the fifth formula: w ;

[0040] The fifth formula is:

[0041]

[0042] On the other hand, an embodiment of the present invention provides a humidity weighted average statistical device for concrete creep calculation, which includes:

[0043] A humidity data monitoring module, which is used to periodically obtain humidity data, wherein the humidity data includes a test time and a humidity value corresponding to the test time;

[0044] A preliminary average processing module, which is used to obtain the average humidity value of any time period by using an arithmetic mean method;

[0045] A weight coefficient calculation module, which is used to calculate the weight coefficient of any time period according to the influence of the average humidity value on creep in different time periods;

[0046] The weighted average humidity calculation module is used to calculate the weighted average humidity value according to the weight coefficient of the arbitrary time period and the average value of the humidity value of the arbitrary time period.

[0047] In some embodiments, the humidity data monitoring module is further used to:

[0048] Conduct multiple humidity tests and record the test time and humidity value for each test;

[0049] The weight coefficient calculation module is also used for:

[0050] The interval between two adjacent tests is regarded as a time period;

[0051] Any time period is recorded as the i-th time period, where i is an integer greater than 0;

[0052] The weight coefficient of the i-th time period is calculated based on the characteristic that the influence of the average humidity value on creep decreases as i increases.

[0053] In some embodiments, the humidity data monitoring module is further used to:

[0054] Load the initial time t0 and initial humidity value RH0;

[0055] Perform n humidity tests;

[0056] The preliminary average processing module is also used for:

[0057] Calculate the average humidity value according to the first formula

[0058] The first formula is:

[0059] Among them, RH i is the humidity value of the i-th humidity test, where i is an integer greater than 0 and less than or equal to n;

[0060] Calculate the average test time according to the second formula

[0061] The second formula is:

[0062] Among them, t i is the test time of the i-th humidity test;

[0063] The weight coefficient calculation module is also used for:

[0064] Calculate the humidity correction coefficient H for the i-th time period according to the third formula i ;

[0065] The third formula is:

[0066]

[0067] The weight coefficient W of the i-th time period is calculated according to the fourth formula: i ;

[0068] The fourth formula is:

[0069]

[0070] The weighted average humidity calculation module is also used for:

[0071] The weighted average humidity value RH is calculated according to the fifth formula: w ;

[0072] The fifth formula is:

[0073]

[0074] The beneficial effects of the embodiments of the present invention include: adding the influence of humidity values ​​on creep in different time periods into the calculation, and by setting the weight coefficient, the statistically obtained average humidity value is more in line with the actual situation, so as to solve the problem that the actual humidity changes cannot be truly reflected in the related technology, and can be used to calculate creep with higher accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0076] Figure 1 A flow chart of a humidity weighted average statistical method for concrete creep calculation provided by an embodiment of the present invention;

[0077] Figure 2 A schematic structural diagram of a humidity weighted average statistical device for concrete creep calculation provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0078] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0079] like Figure 1 As shown, an embodiment of the present invention provides a humidity weighted average statistical method for concrete creep calculation, which includes the steps of:

[0080] S100: regularly acquiring humidity data, wherein the humidity data includes a test time and a humidity value corresponding to the test time;

[0081] S200: Obtaining the average humidity value of any time period by using the arithmetic mean method;

[0082] S300: Calculating the weight coefficient of any time period according to the influence of the average humidity value on creep in different time periods;

[0083] S400: Calculate a weighted average humidity value according to the weight coefficient of the arbitrary time period and the average value of the humidity value of the arbitrary time period.

[0084] In this embodiment, by setting the weight coefficient, the influence of humidity change on creep in different time periods is fully considered, and the statistically obtained average humidity value is more in line with the actual situation and is used for calculating creep with higher accuracy.

[0085] In some embodiments, the step S100 includes performing multiple humidity tests and recording the test time and humidity value of each test;

[0086] The step S300 includes the following steps:

[0087] S310: The interval between two adjacent tests is regarded as a time period;

[0088] S320: Record any time period as the i-th time period, where i is an integer greater than 0;

[0089] The influence of the average humidity value on creep in different time periods includes:

[0090] The influence of the average humidity value on creep decreases with the increase of i.

[0091] In this embodiment, the characteristic that the effect of humidity change on creep is greater in the early stage and smaller in the late stage is utilized, thereby further improving the accuracy and efficiency of creep calculation.

[0092] In some embodiments, the step S100 includes the steps of:

[0093] S110: Loading initial time t0 and initial humidity value RH0;

[0094] S120: perform humidity test n times;

[0095] The step S200 comprises the steps of: calculating the average humidity value according to the first formula

[0096] The first formula is:

[0097] Among them, RH i is the humidity value of the i-th humidity test, where i is an integer greater than 0 and less than or equal to n.

[0098] In some embodiments, after step S200, the following step is further included: calculating the average value of the test time according to the second formula

[0099] The second formula is:

[0100] Among them, t i is the test time of the i-th humidity test.

[0101] In some embodiments, step S300 includes the steps of:

[0102] S330: Calculate the humidity correction coefficient H for the i-th time period according to the third formula i ;

[0103] The third formula is:

[0104]

[0105] S340: Based on the humidity correction coefficient H of the i-th time period i The weight coefficient is calculated.

[0106] In some embodiments, step S340 includes the steps of: calculating the weight coefficient W of the i-th time period according to the fourth formula i ;

[0107] The fourth formula is:

[0108]

[0109] In some embodiments, step S400 includes the steps of: calculating the weighted average humidity value RH according to the fifth formula w ;

[0110] The fifth formula is:

[0111]

[0112] The statistical calculation method in this embodiment has fewer steps, a simple calculation formula, and can be calculated using simple statistical analysis software. The method is simple and practical.

[0113] In a specific embodiment, a method for calculating the creep of mid-span deflection of a PC continuous rigid frame bridge includes the following steps:

[0114] Step a: Conduct humidity monitoring on site. Specifically, install an atmospheric humidity sensor on the analyzed concrete structure, conduct humidity monitoring, test humidity data regularly and record them in detail. Since the analyzed concrete structure is a continuous rigid frame bridge, an atmospheric temperature and humidity sensor is installed on the bridge. The total humidity monitoring period is set to 1 year after the analyzed concrete structure is loaded. A total of 12 humidity tests are conducted. The loading time is recorded as t0, the humidity during loading is recorded as RH0, and the humidity test time after loading is recorded as t1, t2, t3...t 12 , the measured humidity at each time is recorded as RH1, RH2, RH3...RH 12 The monitoring results are shown in Table 1.

[0115] Table 1 Humidity monitoring results

[0116]

[0117]

[0118] Step b: Perform preliminary processing on the measured humidity values ​​of the analyzed continuous rigid frame bridge, specifically taking the arithmetic average of the humidity values ​​of two adjacent tests. Take the arithmetic mean of the time between two adjacent tests Where i is the order of humidity test. The average humidity of the treated stage is shown in Table 2.

[0119] Table 2 Average humidity at each stage after preliminary treatment

[0120]

[0121] Step c: Calculate the weight coefficient. Specifically, first calculate the humidity interval correction coefficient H for the i-th time period. i ,

[0122] According to the formula:

[0123]

[0124] Then calculate the weight coefficient corresponding to the i-th time period The calculated humidity interval correction coefficient and weight coefficient of each segment are shown in Table 3.

[0125] Table 3 Calculation of humidity interval correction coefficient and weight coefficient

[0126]

[0127] Step d: Calculate the weighted average humidity according to the formula Calculate the weighted average humidity RH w , calculate the weighted average humidity RH w =53.15%.

[0128] The above weighted average humidity RH W The calculation method can be substituted into various creep calculation models to calculate the creep coefficient development curve of the analyzed concrete structure.

[0129] like Figure 2 As shown, this embodiment also provides a humidity weighted average statistical device for concrete creep calculation, which includes:

[0130] A humidity data monitoring module, which is used to periodically obtain humidity data, wherein the humidity data includes a test time and a humidity value corresponding to the test time;

[0131] A preliminary average processing module, which is used to obtain the average humidity value of any time period by using an arithmetic mean method;

[0132] A weight coefficient calculation module, which is used to calculate the weight coefficient of any time period according to the influence of the average humidity value on creep in different time periods;

[0133] The weighted average humidity calculation module is used to calculate the weighted average humidity value according to the weight coefficient of the arbitrary time period and the average value of the humidity value of the arbitrary time period.

[0134] In some embodiments, the humidity data monitoring module is further used to perform multiple humidity tests and record the test time and humidity value of each test;

[0135] The weight coefficient calculation module is also used to: take the interval between two adjacent tests as a time period; record any time period as the i-th time period, where i is an integer greater than 0; and calculate the weight coefficient of the i-th time period based on the characteristic that the influence of the average humidity value on creep decreases as i increases.

[0136] In some embodiments, the humidity data monitoring module is further used to: load the initial time t0 and the initial humidity value RH0, and perform n humidity tests.

[0137] The preliminary average processing module is also used for:

[0138] Calculate the average humidity value according to the first formula The first formula is:

[0139] Among them, RH i is the humidity value of the i-th humidity test, where i is an integer greater than 0 and less than or equal to n;

[0140] Calculate the average test time according to the second formula The second formula is:

[0141] Among them, t i is the test time of the i-th humidity test.

[0142] The weight coefficient calculation module is also used for:

[0143] Calculate the humidity correction coefficient H for the i-th time period according to the third formula i ; The third formula is:

[0144]

[0145] The weight coefficient W of the i-th time period is calculated according to the fourth formula: i ; The fourth formula is:

[0146]

[0147] The weighted average humidity calculation module is further used to calculate the weighted average humidity value RH according to the fifth formula: w ; The fifth formula is:

[0148]

[0149] The statistical calculation method proposed in this embodiment, by setting the weight coefficient, fully considers the characteristics that the influence of humidity change on creep is large in the early stage and small in the late stage. The statistically obtained humidity average value is more in line with the actual situation and is used to calculate creep with higher accuracy. At the same time, the statistical calculation method has fewer steps, a simple calculation formula, and can be calculated using simple statistical analysis software, which is simple and practical.

[0150] In the description of the present invention, it should be noted that the terms "upper", "lower", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0151] It should be noted that, in the present invention, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0152] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A humidity weighted average statistical method for concrete creep calculation, characterized in that: It comprises the steps of, Regularly acquiring humidity data, wherein the humidity data includes a test time and a humidity value corresponding to the test time; Use the arithmetic mean method to obtain the average humidity value for any period of time; Calculate the weight coefficient of any time period according to the influence of the average humidity value on creep in different time periods; Calculating a weighted average humidity value according to the weight coefficient of the arbitrary time period and the average humidity value of the arbitrary time period; The weight coefficient of any time period is calculated according to the influence of the average humidity value on creep in different time periods, including the steps of: According to the third formula, calculate i Humidity correction factor for time period ; The third formula is: ； in, is the average humidity value; According to the said i Humidity correction factor for time period Calculating the weight coefficient; According to the said i Humidity correction factor for time period Calculating the weight coefficient comprises the steps of: According to the fourth formula, the i Weight coefficient of time period ; The fourth formula is: ； in, t i For the i The test time of the humidity test is is the average value of the test time; Calculating a weighted average humidity value according to the weight coefficient of the arbitrary time period and the average humidity value of the arbitrary time period, comprising the steps of: The weighted average humidity value is calculated according to the fifth formula: ; The fifth formula is: 。 2. The humidity weighted average statistical method for concrete creep calculation according to claim 1, characterized in that: The step of regularly acquiring humidity data comprises the following steps: Conduct multiple humidity tests and record the test time and humidity value for each test; The weight coefficient of any time period is calculated according to the influence of the average humidity value on creep in different time periods, including the steps of: The interval between two adjacent tests is regarded as a time period; Record any time period as i Time period, where i Take an integer greater than 0; The influence of the average humidity value on creep in different time periods includes: The influence of average humidity value on creep i decreases with the increase of .

3. The humidity weighted average statistical method for concrete creep calculation according to claim 2, characterized in that: The step of regularly acquiring humidity data comprises the following steps: Initial loading time t 0 and initial humidity value RH 0; Perform n humidity tests; The method of obtaining the average humidity value of any time period by using the arithmetic mean method comprises the following steps: Calculate the average humidity value according to the first formula ; The first formula is: ,in, RH i For the i The humidity value of the humidity test, i is greater than 0 and less than or equal to n An integer.

4. The humidity weighted average statistical method for concrete creep calculation according to claim 3, characterized in that: After obtaining the average humidity value of any time period by the arithmetic mean method, the following steps are also included: Calculate the average test time according to the second formula ; The second formula is: ,in, t i For the i The test time for the first humidity test.

5. A humidity weighted average statistical device for concrete creep calculation, characterized in that: It includes: A humidity data monitoring module, which is used to periodically obtain humidity data, wherein the humidity data includes a test time and a humidity value corresponding to the test time; A preliminary average processing module, which is used to obtain the average humidity value of any time period by using an arithmetic mean method; A weight coefficient calculation module, which is used to calculate the weight coefficient of any time period according to the influence of the average humidity value on creep in different time periods; A weighted average humidity calculation module, which is used to calculate the weighted average humidity value according to the weight coefficient of the arbitrary time period and the average value of the humidity value of the arbitrary time period; The weight coefficient calculation module is also used for: According to the third formula, calculate i Humidity correction factor for time period ; The third formula is: ； in, is the average humidity value; According to the fourth formula, the i Weight coefficient of time period ; The fourth formula is: ； in, t i For the i The test time of the humidity test is is the average value of the test time; The weighted average humidity calculation module is also used for: The weighted average humidity value is calculated according to the fifth formula: ; The fifth formula is: 。 6. The humidity weighted average statistical device for concrete creep calculation according to claim 5, characterized in that: The humidity data monitoring module is also used for: Conduct multiple humidity tests and record the test time and humidity value for each test; The weight coefficient calculation module is also used for: The interval between two adjacent tests is regarded as a time period; Record any time period as i Time period, where i Take an integer greater than 0; According to the influence of the average humidity value on creep i The calculation of the increase and decrease characteristics of i The weight factor of the time period.

7. The humidity weighted average statistical device for concrete creep calculation according to claim 6, characterized in that: The humidity data monitoring module is also used for: Initial loading time t 0 and initial humidity value RH 0; conduct n Second humidity test; The preliminary average processing module is also used for: Calculate the average humidity value according to the first formula ; The first formula is: ,in, RH i For the i The humidity value of the humidity test, i is greater than 0 and less than or equal to n integer; Calculate the average test time according to the second formula ; The second formula is: ,in, t i For the i The test time for the first humidity test.

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