CN103926259B - Based on the concrete riper forecast model of ground penetrating radar - Google Patents
Based on the concrete riper forecast model of ground penetrating radar Download PDFInfo
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- CN103926259B CN103926259B CN201410042706.4A CN201410042706A CN103926259B CN 103926259 B CN103926259 B CN 103926259B CN 201410042706 A CN201410042706 A CN 201410042706A CN 103926259 B CN103926259 B CN 103926259B
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- 230000000149 penetrating effect Effects 0.000 title claims abstract description 31
- 238000001514 detection method Methods 0.000 claims abstract description 21
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 10
- 230000014509 gene expression Effects 0.000 claims description 19
- 239000000203 mixture Substances 0.000 claims description 12
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 229910052742 iron Inorganic materials 0.000 claims description 3
- 238000012417 linear regression Methods 0.000 claims description 3
- 238000013341 scale-up Methods 0.000 claims 1
- 238000000034 method Methods 0.000 abstract description 4
- 238000010276 construction Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000001939 inductive effect Effects 0.000 description 2
- 230000016507 interphase Effects 0.000 description 2
- 238000012913 prioritisation Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 239000004568 cement Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
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Abstract
The invention discloses a kind of concrete riper forecast model based on ground penetrating radar, a kind of in Mass Concrete ground penetrating radar to a kind of prediction new of concrete riper.The method utilizes ground penetrating radar detection to go out the relative dielectric constant of concrete layer, by the correlativity of the water cut in concrete relative dielectric constant and the age of concrete, concrete strength, unit volume, sets up out concrete riper forecast model.The present invention can utilize and predicts in the construction time different concrete layer degree of ripeness and calculate.
Description
Technical field
The present invention relates to a kind of concrete riper forecast model based on ground penetrating radar, belong to Hydraulic and Hydro-Power Engineering technical field.
Background technology
Ground penetrating radar is the important detecting devices in Non-Destructive Testing, it receives the electromagnetic wave of being returned by subsurface reflective to underground emitting electromagnetic wave by emitting antenna, when medium medium dielectric constant microwave medium and conductivity there are differences, the electromagnetic wave wave property received can change, can judge whether there are abnormal conditions in detection body according to these variation characteristics, ground penetrating radar precision is general all higher than other detection method, is widely applied in engineering detecting and prospecting.
Concrete riper describes concrete hardenability important indicator in cement, relation is had with hardening temperature and the length of time, current engineering technical personnel establish degree of ripeness forecast model by the instrument such as Ultrasound Instrument, electrical prospecting apparatus, how to predict that concrete riper is the problem of a research by ground penetrating radar.
Above-mentioned research contents comes from the sub-problem " the coupling mechanism in stress field and temperature field " in the state natural sciences fund major mechanical problems of extra-high concrete dam failure damage " under the catastrophe condition ".
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of concrete riper forecast model based on ground penetrating radar, can predict and calculate in the construction time to different concrete layer degree of ripeness.
The present invention is for solving the problems of the technologies described above by the following technical solutions:
A kind of concrete riper forecast model based on ground penetrating radar, utilize the relative dielectric constant of ground penetrating radar detection concrete layer, by the correlativity of the water cut in concrete relative dielectric constant and the age of concrete, concrete strength, unit volume, set up concrete riper forecast model; Be specially:
According to the water cut in the age of concrete, concrete strength and unit volume, show that relative dielectric constant ε expression formula is:
ε=A+Bw+Cτ+Df
c,n(1)
In formula, w is the water cut in unit volume, determines according to concrete mix; f
c,nfor concrete strength; τ is the age of concrete; A, B, C, D experience factor all for being drawn by linear regression;
Log expressions between concrete strength and the age of concrete is:
f
c,n=[E+Fln(τ)]f
c,28(2)
In formula, f
c, 28for the intensity of concrete after 28 days, determine according to concrete mix; E, F are the experience factor determined according to concrete mix, are drawn by measurement concrete strength test:
Coefficient | C20 | C30 | C40 | C50 | C60 |
E | 0.275 | 0.233 | 0.197 | 0.197 | 0.197 |
F | 0.162 | 0.241 | 0.320 | 0.317 | 0.471 |
Exponential expression between concrete strength and concrete riper is:
f
c,n=Gexp(-H/Ms)(3)
In formula, G, H are the experience factor determined according to concrete mix, are drawn: Ms is concrete riper by measurement concrete strength test;
Coefficient | C20 | C30 | C40 | C50 | C60 |
G | 25.092 | 34.6 | 45.7 | 59.2 | 66.4 |
H | 1.52 | 1.61 | 1.72 | 1.87 | 1.95 |
Can be derived by expression formula (1) (2) (3), the expression formula based on the concrete riper forecast model of relative dielectric constant:
Wherein, the described relative dielectric constant utilizing ground penetrating radar detection concrete layer, is specially:
Setting concrete is i layer, and i is natural number; The then relative dielectric constant ε of the i-th layer concrete
ithere are following two kinds of situations:
1) if the thickness of the concrete layer detected is known, then calculate according to two way travel time during ground penetrating radar detection:
In formula, c is radar wave speed in a vacuum; Δ t
iby radar wave from detection concrete surface to the two way travel time of bottom surface; h
ifor the thickness of detected concrete layer;
2) if the thickness of the concrete layer detected is unknown, then calculate according to reflection coefficient electromagnetic during ground penetrating radar detection:
If a. one-course concrete, then relative dielectric constant ε
1for
In formula, R is reflection coefficient, R=A
1/ A
m; A
1for echo amplitude; A
mfor total reflection wave-amplitude, place iron plate in concrete base and obtain;
If b. multi-layer concrete, then relative dielectric constant ε
ifor:
In formula, A
ibe i-th layer of echo amplitude; A
i-1be the i-th-1 layer echo amplitude.
As further prioritization scheme of the present invention, the expression formula between described concrete strength and concrete riper also comprises logarithm, hyperbolic form.
As further prioritization scheme of the present invention, described concrete strength and the expression formula between the age of concrete also comprise index, hyperbolic form.
The present invention adopts above technical scheme compared with prior art, has following technique effect:
1) by the concrete specific inductive capacity detected, concrete riper can be calculated by Capability Maturity Model formula;
2) concrete strength that can be drawn very easily under differing maturity by the degree of ripeness calculated is reached the required age time value.
Accompanying drawing explanation
Fig. 1 is ground penetrating radar detection schematic diagram.
Fig. 2 is process flow diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
By ground penetrating radar detection concrete as shown in Figure 1, with reference in figure 1 shown in (a), as electromagnetic wave R
0when inciding the interphase of ground floor medium with certain angle, can produce reflection wave and refraction wave at this decomposition face electromagnetic wave, echo amplitude is A
0, R
1reflection wave is for second layer dielectric interface, and refraction wave is exactly its incident wave, and incide second layer interphase and produce reflection and refraction equally, echo amplitude is A
1, reflection and refraction can be produced in each bed interface.
In the concrete relative dielectric constant process of ground penetrating radar detection, common two kinds of detection methods: is by calculating concrete relative dielectric constant return interval; Two is in the medium that two kinds of specific inductive capacity are different, produce reflection according to electromagnetic wave, and the certain relation existed between reflection coefficient and relative dielectric constant, utilizes reflection coefficient to determine relative dielectric constant under the thickness unknown situation of concrete layer.
Setting concrete is i layer, and i is natural number; The then relative dielectric constant ε of the i-th layer concrete
ithere are following two kinds of situations:
1) if the thickness of the concrete layer detected is known, then calculate according to two way travel time during ground penetrating radar detection:
In formula, c is radar wave speed in a vacuum; Δ t
iby radar wave from detection concrete surface to the two way travel time of bottom surface, as shown in (b) in Fig. 1; h
ifor the thickness of detected concrete layer;
2) if the thickness of the concrete layer detected is unknown, then calculate according to reflection coefficient electromagnetic during ground penetrating radar detection:
If a. one-course concrete, then relative dielectric constant ε
1for
In formula, R is reflection coefficient, R=A
1/ A
m; A
1for echo amplitude; A
mfor total reflection wave-amplitude, place iron plate in concrete base and obtain.
If b. multi-layer concrete, then relative dielectric constant ε
ifor:
In formula, A
ibe i-th layer of echo amplitude; A
i-1be the i-th-1 layer echo amplitude.
A kind of concrete riper forecast model based on ground penetrating radar, as shown in Figure 2, utilize the relative dielectric constant of ground penetrating radar detection concrete layer, by the correlativity of the water cut in concrete relative dielectric constant and the age of concrete, concrete strength, unit volume, set up concrete riper forecast model; Be specially:
According to the water cut in the age of concrete, concrete strength and unit volume, show that relative dielectric constant ε expression formula is:
ε=A+Bw+Cτ+Df
c,n(1)
In formula, w is the water cut in unit volume, determines according to concrete mix; f
c,nfor concrete strength; τ is the age of concrete; A, B, C, D experience factor all for being drawn by linear regression, gets A=4.7565, B=0.0016, C=0.0262, D=-0.0057
Log expressions between concrete strength and the age of concrete is:
f
c,n=[E+Fln(τ)]f
c,28(2)
In formula, f
c, 28for the intensity of concrete after 28 days, determine according to concrete mix; E, F are the experience factor determined according to concrete mix, are drawn by measurement concrete strength test:
Coefficient | C20 | C30 | C40 | C50 | C60 |
E | 0.275 | 0.233 | 0.197 | 0.197 | 0.197 |
F | 0.162 | 0.241 | 0.320 | 0.317 | 0.471 |
Exponential expression between concrete strength and concrete riper is:
f
c,n=Gexp(-H/Ms)(3)
In formula, G, H are the experience factor determined according to concrete mix, by measurement concrete strength test:
Coefficient | C20 | C30 | C40 | C50 | C60 |
G | 25.092 | 34.6 | 45.7 | 59.2 | 66.4 |
H | 1.52 | 1.61 | 1.72 | 1.87 | 1.95 |
Can be derived by expression formula (1) (2) (3), the expression formula based on the concrete riper forecast model of relative dielectric constant:
By the concrete riper forecast model based on relative dielectric constant, thus draw the concrete characteristic quantity such as the age of concrete and intensity:
f
c,n=Gexp(-H/Ms)。
The above; be only the embodiment in the present invention; but protection scope of the present invention is not limited thereto; any people being familiar with this technology is in the technical scope disclosed by the present invention; the conversion or replacement expected can be understood; all should be encompassed in and of the present inventionly comprise within scope, therefore, protection scope of the present invention should be as the criterion with the protection domain of claims.
Claims (5)
1. the concrete riper forecast model based on ground penetrating radar, it is characterized in that, utilize the relative dielectric constant of ground penetrating radar detection concrete layer, by the correlativity of the water cut in concrete relative dielectric constant and the age of concrete, concrete strength, unit volume, set up concrete riper forecast model; Be specially:
According to the water cut in the age of concrete, concrete strength and unit volume, show that relative dielectric constant ε expression formula is:
ε=A+Bw+Cτ+Df
c,n(1)
In formula, w is the water cut in unit volume, determines according to concrete mix; f
c,nfor concrete strength; τ is the age of concrete; A, B, C, D are the experience factor drawn by linear regression;
Log expressions between concrete strength and the age of concrete is:
f
c,n=[E+Fln(τ)]f
c,28(2)
In formula, f
c, 28for the intensity of concrete after 28 days, determine according to concrete mix; E, F are the experience factor determined according to concrete mix, are drawn by measurement concrete strength test;
Exponential expression between concrete strength and concrete riper is:
f
c,n=Gexp(-H/Ms)(3)
In formula, G, H are the scale-up factor determined according to concrete mix, are drawn by measurement concrete strength test; Ms is concrete riper;
Can be derived by expression formula (1) (2) (3), the expression formula based on the concrete riper forecast model of relative dielectric constant:
2. a kind of concrete riper forecast model based on ground penetrating radar according to claim 1, it is characterized in that, the described relative dielectric constant utilizing ground penetrating radar detection concrete layer, is specially:
Setting concrete is i layer, and i is natural number; The then relative dielectric constant ε of the i-th layer concrete
ithere are following two kinds of situations:
1) if the thickness of the concrete layer detected is known, then calculate according to two way travel time during ground penetrating radar detection:
In formula, c is radar wave speed in a vacuum; Δ t
iby radar wave from detection concrete surface to the two way travel time of bottom surface; h
ifor the thickness of detected concrete layer;
2) if the thickness of the concrete layer detected is unknown, then calculate according to reflection coefficient electromagnetic during ground penetrating radar detection:
If a. one-course concrete, then relative dielectric constant ε
1for
In formula, R is reflection coefficient, R=A
1/ A
m; A
1for echo amplitude; A
mfor total reflection wave-amplitude;
If b. multi-layer concrete, then relative dielectric constant ε
ifor:
In formula, A
ibe i-th layer of echo amplitude; A
i-1be the i-th-1 layer echo amplitude.
3. a kind of concrete riper forecast model based on ground penetrating radar according to claim 2, is characterized in that, described total reflection wave-amplitude A
mobtain by placing iron plate in concrete base.
4. a kind of concrete riper forecast model based on ground penetrating radar according to claim 1, it is characterized in that, the expression formula between described concrete strength and concrete riper also comprises logarithm, hyperbolic form.
5. a kind of concrete riper forecast model based on ground penetrating radar according to claim 1, it is characterized in that, described concrete strength and the expression formula between the age of concrete also comprise index, hyperbolic form.
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CN105203563A (en) * | 2015-07-07 | 2015-12-30 | 河南省水利科学研究院 | Detection method of canal lining quality in south-to-north water diversion project |
CN105527305A (en) * | 2015-12-02 | 2016-04-27 | 江苏科技大学 | Concrete strength detection method based on electromagnetic properties of material |
CN106908489A (en) * | 2017-02-24 | 2017-06-30 | 河海大学 | A kind of non-destructive determination method of grinding coagulation soil moisture content |
CN108333096A (en) * | 2018-03-28 | 2018-07-27 | 东南大学 | A kind of asphalt concrete pavement porosity detection method based on Ground Penetrating Radar |
CN110161495B (en) * | 2019-05-23 | 2020-07-28 | 中国地质大学(北京) | Method and system for determining thickness of effective soil layer of soil |
CN114019149A (en) * | 2021-09-30 | 2022-02-08 | 中国建筑第四工程局有限公司 | Real-time nondestructive monitoring system for equivalent age of concrete |
CN114459954A (en) * | 2022-01-11 | 2022-05-10 | 同济大学 | Ground penetrating radar-based concrete setting time monitoring method, device and medium |
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CN1191605A (en) * | 1995-06-08 | 1998-08-26 | 环境及农业技术研究所 | Method for determining degree of hardening of material |
CN101929930A (en) * | 2009-11-11 | 2010-12-29 | 深圳大学 | Method for rapidly predicting 28-day colloidal mortar compression strength of cement |
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CN87100931A (en) * | 1987-02-26 | 1987-08-26 | 铁道部科学研究院铁道建筑研究所 | Small-size concrete degree of ripeness detector |
JPH0690152B2 (en) * | 1988-08-16 | 1994-11-14 | 戸田建設株式会社 | Concrete hardening degree judgment method |
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CN1191605A (en) * | 1995-06-08 | 1998-08-26 | 环境及农业技术研究所 | Method for determining degree of hardening of material |
CN101929930A (en) * | 2009-11-11 | 2010-12-29 | 深圳大学 | Method for rapidly predicting 28-day colloidal mortar compression strength of cement |
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