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 PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
concrete
epsiv
riper
ground penetrating
penetrating radar
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201410042706.4A
Other languages
Chinese (zh)
Other versions
CN103926259A (en
Inventor
许军才
沈振中
任青文
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hohai University HHU
Original Assignee
Hohai University HHU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hohai University HHU filed Critical Hohai University HHU
Priority to CN201410042706.4A priority Critical patent/CN103926259B/en
Publication of CN103926259A publication Critical patent/CN103926259A/en
Application granted granted Critical
Publication of CN103926259B publication Critical patent/CN103926259B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Geophysics And Detection Of Objects (AREA)

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

Based on the concrete riper forecast model of ground penetrating radar
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:
M s = - H / l n [ ϵ - A - B w - C exp ( f c , n / f c , 28 - E F ) D G ] .
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:
ϵ i = ( cΔt i 2 h i ) 2
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
ϵ 1 = ( 1 + R 1 - R ) 2
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:
ϵ i + 1 = ϵ i [ 4 ϵ i ϵ i - 1 ϵ i - ϵ i - 1 + A i A i - 1 4 ϵ i ϵ i - 1 ϵ i - ϵ i - 1 - A i A i - 1 ] 2
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:
ϵ i = ( cΔt i 2 h i ) 2
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
ϵ 1 = ( 1 + R 1 - R ) 2
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:
ϵ i + 1 = ϵ i [ 4 ϵ i ϵ i - 1 ϵ i - ϵ i - 1 + A i A i - 1 4 ϵ i ϵ i - 1 ϵ i - ϵ i - 1 - A i A i - 1 ] 2
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:
M s = - H / l n [ ϵ - A - B w - C exp ( f c , n / f c , 28 - E F ) D G ] .
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:
τ = exp ( f c , n / f c , 28 - E F ) ;
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:
M s = - H / ln [ ϵ - A - B w - C exp ( f c , n / f c , 28 - E F ) D G ] .
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:
ϵ i = ( cΔt i 2 h i ) 2
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
ϵ 1 = ( 1 + R 1 - R ) 2
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:
ϵ i + 1 = ϵ i [ 4 ϵ i ϵ i - 1 ϵ i - ϵ i - 1 + A i A i - 1 4 ϵ i ϵ i - 1 ϵ i - ϵ i - 1 - A i A i - 1 ] 2
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.
CN201410042706.4A 2014-01-28 2014-01-28 Based on the concrete riper forecast model of ground penetrating radar Expired - Fee Related CN103926259B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410042706.4A CN103926259B (en) 2014-01-28 2014-01-28 Based on the concrete riper forecast model of ground penetrating radar

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410042706.4A CN103926259B (en) 2014-01-28 2014-01-28 Based on the concrete riper forecast model of ground penetrating radar

Publications (2)

Publication Number Publication Date
CN103926259A CN103926259A (en) 2014-07-16
CN103926259B true CN103926259B (en) 2016-01-06

Family

ID=51144556

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410042706.4A Expired - Fee Related CN103926259B (en) 2014-01-28 2014-01-28 Based on the concrete riper forecast model of ground penetrating radar

Country Status (1)

Country Link
CN (1) CN103926259B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Maturity testing of lifgtweight self-compacting and vibrated concretes;Soutsos,M.N.;《CONSTRUCTION AND BUILDING MATERAIALS》;20131031;第48卷;第118-125页 *
养护条件对混凝土成熟度的影响;余春春 等;《山西建筑》;20110531;第37卷(第14期);第109-110页 *
混凝土成熟度新论及新成熟度准则应用;方光秀 等;《低温建筑技术》;20021231(第2期);第2-4页 *

Also Published As

Publication number Publication date
CN103926259A (en) 2014-07-16

Similar Documents

Publication Publication Date Title
CN103926259B (en) Based on the concrete riper forecast model of ground penetrating radar
Zaki et al. Non-destructive evaluation for corrosion monitoring in concrete: A review and capability of acoustic emission technique
Liu et al. Exploratory study on water seepage monitoring of concrete structures using piezoceramic based smart aggregates
Michalis et al. Wireless monitoring of scour and re-deposited sediment evolution at bridge foundations based on soil electromagnetic properties
Zhao et al. Investigation of mechanisms of top-down fatigue cracking of asphalt pavement
Zhang et al. Identifying accurate crack initiation and propagation thresholds in siliceous siltstone and limestone
Pedret Rodés et al. GPR spectra for monitoring asphalt pavements
Sun et al. Acoustic emission quantitative evaluation of rejuvenators to restore embrittlement temperatures to oxidized asphalt mixtures
Hu et al. Pavement thickness and stabilised foundation layer assessment using ground-coupled GPR
Kawaguchi et al. Identification method for travel time based on the time domain technique in bender element tests on sandy and clayey soils
Kong et al. Thin-film sensor for fatigue crack sensing and monitoring in steel bridges under varying crack propagation rates and random traffic loads
CN106709653A (en) Method for comprehensively and quantitatively evaluating construction quality of seepage-proof curtain of hydropower station
CN104730152A (en) Fractal dimension-based method of monitoring crack damage of composite structural member
Liu et al. Depth detection of void defect in sandwich-structured immersed tunnel using elastic wave and decision tree
Wang et al. A new apparatus for testing the bearing capacity of calcareous sand in laboratory
Terzioglu et al. Nondestructive evaluation of external post-tensioning systems to detect grout defects
Spears et al. Ground penetrating radar applications and implementations in civil construction
Zhou et al. Prospective forecast of sliding instability time using a precursory AE time series
Gao et al. Design and evaluation of a high sensitivity spiral TDR scour sensor
Yu et al. Laboratory Evaluation of Time‐Domain Reflectometry for Bridge Scour Measurement: Comparison with the Ultrasonic Method
Barnes et al. Evaluating laboratory-induced asphalt concrete moisture damage using surface waves
Schabowicz Methodology for non-destructive identification of thickness of unilaterally accessible concrete elements by means of state-of-the-art acoustic techniques
Belanger et al. Lamb wave tomography to evaluate the maximum depth of corrosion patches
Wang et al. Ultrasonic wave based pressure measurement in small diameter pipeline
Franesqui et al. Inspection and depth sizing of surface-initiated cracking for preventive maintenance of asphalt pavements

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160106