CN109211750A - Based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique - Google Patents
Based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique Download PDFInfo
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- 239000004567 concrete Substances 0.000 title claims abstract description 80
- VEXZGXHMUGYJMC-UHFFFAOYSA-M Chloride anion Chemical compound [Cl-] VEXZGXHMUGYJMC-UHFFFAOYSA-M 0.000 title claims abstract description 54
- 238000009792 diffusion process Methods 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 26
- 239000004568 cement Substances 0.000 claims abstract description 63
- 239000002002 slurry Substances 0.000 claims abstract description 42
- 239000000463 material Substances 0.000 claims description 53
- 230000007704 transition Effects 0.000 claims description 35
- 239000008187 granular material Substances 0.000 claims description 12
- 239000002245 particle Substances 0.000 claims description 12
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 8
- 210000000540 fraction c Anatomy 0.000 claims description 3
- 239000011148 porous material Substances 0.000 claims description 3
- 238000006467 substitution reaction Methods 0.000 claims description 3
- 238000004836 empirical method Methods 0.000 abstract description 7
- 238000004364 calculation method Methods 0.000 abstract description 4
- 239000002994 raw material Substances 0.000 abstract description 3
- 239000000460 chlorine Substances 0.000 description 11
- 238000002474 experimental method Methods 0.000 description 4
- 239000000203 mixture Substances 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 description 2
- 229910052801 chlorine Inorganic materials 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N15/082—Investigating permeability by forcing a fluid through a sample
- G01N15/0826—Investigating permeability by forcing a fluid through a sample and measuring fluid flow rate, i.e. permeation rate or pressure change
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- Chemical & Material Sciences (AREA)
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- Analytical Chemistry (AREA)
- Dispersion Chemistry (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Fluid Mechanics (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Curing Cements, Concrete, And Artificial Stone (AREA)
- Preparation Of Clay, And Manufacture Of Mixtures Containing Clay Or Cement (AREA)
Abstract
The invention discloses a kind of based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique, includes the following steps: step 1: the three-dimensional microstructures of cement slurry in building concrete, and determines the porosity of the cement slurryStep 2: according to the porosity of cement pasteCalculate cement slurry chloride diffusion coefficient Dp；Step 3: the microscopical structure based on the concrete calculates Chloride Diffusion Coefficient in Concrete D according to broad sense self_consistent model.The present invention is when predicting Chloride Diffusion Coefficient in Concrete, essential information used is the formula and relevant raw materials performance of concrete, compared with empirical method, save plenty of time cost and economic cost, and the influence that concrete is micro-, microscopical structure is to chloride diffusion coefficient is considered, it is more acurrate compared with empirical method, also more scientific.The more existing numerical calculations of the present invention are more efficient, are easier to promote and apply.
Description
Technical field
The invention belongs to cement-base composite material fields, and in particular to a kind of based on micro-, microscopic structural parameters concrete
Chloride diffusion coefficient prediction technique.
Background technique
Steel bar corrosion caused by chloride ion is the master that failure damage occurs in ocean or deicing salt environment for concrete structure
Want reason.Chloride diffusion coefficient in concrete is one of the key parameter of building structure durability.Therefore, concrete chlorine from
The prediction of sub- diffusion coefficient can directly serve in the durability Design of concrete structure.
More common Chloride Diffusion Coefficient in Concrete prediction technique is mostly empirical method now, i.e., by a large amount of real
The relationship for testing data fitting chloride diffusion coefficient and certain experiment parameters, as when concrete raw material composition, a certain age
Chloride diffusion coefficient, environmental condition etc..Empirical method is simple and easy, but applicability is limited, may be only available for and experiment item
The close situation of part, and the service condition of concrete or complexity for certain special formulations, the accuracy of prediction result
It not can guarantee.Moreover, certain parameters of empirical method still need to be determined by experiment, it is time-consuming and laborious.
With technical development of computer, the prediction concrete chlorine based on concrete material is microcosmic and microscopical structure is established
The numerical method of ionic diffusion coefficient is just becoming a popular research direction.Micro-, microscopical structure is to determine concrete chloride ion
The fundamental factor of diffusion.Numerical method can be with the micro- of concrete, microscopical structure the considerations of system to its chloride diffusivity
The influence of energy, and its input condition is mostly the material composition of concrete itself, without a large amount of experiment.But numerical method
Usual calculation amount is larger, longer the time required to calculating, more demanding to allocation of computer, is not possible to promote and apply.
Summary of the invention
To overcome the existing Chloride Diffusion Coefficient in Concrete prediction technique based on experimental test and micro- microscopical structure real
The amount of testing is greatly and the defect of calculating time length, the present invention provide a kind of easy to use based on micro-, microscopic structural parameters concrete
Chloride diffusion coefficient prediction technique.
The technical solution adopted by the present invention is that:
The embodiment of the present application provides a kind of based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction side
Method includes the following steps:
Step 1: the three-dimensional microstructures of cement slurry in building concrete, and determine the porosity of the cement slurry
The concrete include cement slurry and gather materials, and the cement slurry and it is described gather materials between there are interfaces transitions
Area；
Based on the match ratio of the cement slurry, the three-dimensional microstructures of the cement slurry are simulated, and obtain described three
The pore structure information for tieing up microstructure, to obtain the porosity of cement paste
Step 2: according to the porosity of cement pasteCalculate cement slurry chloride diffusion coefficient Dp:
Cement slurry chloride diffusion coefficient D is sought according to formula (1)p,
Dp/DCl=0.001+0.07 φp 2+H(φp-0.18)×1.8×(φp-0.18)2 (1)
Wherein, DCl: the diffusion coefficient of chloride ion in water, unit are m2/ s, and the D at 25 DEG CClIt is 2.03 × 10-9m2/
s；The porosity of the cement slurry；H:Heaviside function, and when x > 0, H (x)=1；When x≤0, H (x)=0；
Step 3: the microscopical structure based on the concrete calculates concrete chloride ion diffusion system according to broad sense self_consistent model
Number D:
In formula, Va: the volume fraction gathered materials；Di: interfacial transition zone chloride diffusion coefficient (m2/s)；Interface mistake
Cross area thickness tiWith aggregate particle mean radiusRatio, i.e.,
Further, the microscopical structure of the concrete includes cement slurry phase, interfacial transition zone phase and phase of gathering materials；
The parameter of the microscopical structure of the concrete includes the volume fraction V to gather materialsa, interfacial transition zone porosity Di, interface
Transition region chloride diffusion coefficient Di, thickness of interfacial transition zone tiWith aggregate particle mean radius
The parameter of the concrete microstructure includes porosity of cement paste
Further, in the step 1, the three-dimensional microstructures of the cement slurry can be soft by HYMOSTRUC3D
Part or CEMHYD3D software obtain, and calculate porosity of cement paste by the three-dimensional microstructures
Further, the step 3 median surface transition region chloride diffusion coefficient DiIt calculates by the following method:
By porosity of cement pasteIt substitutes into formula (3) and obtains interfacial transition zone porosityThe boundary that will be calculated again
Face transition region porosityThe interfacial transition zone chloride diffusion coefficient D can be obtained in substitution formula (4)i:
φi/φp=1.49+ (2.17 × 10-5)w/c×22.99 (3)
In formula, w/c is the ratio of mud of the concrete；
Di/DCl=0.001+0.07 φi 2+H(φi-0.18)×1.8×(φi-0.18)2 (4)。
Further, in the step 3, when ratio of mud w/c is between 0.23~0.53, the interfacial transition zone is thick
Spend ti=20 μm.
Further, in the step 3, aggregate particle mean radiusIt calculates by the following method:
Three parameters of the grade adapted to gather materials indicate, are respectively as follows: a total quantity M (unit is) for sieve, the diameter d of i-stage sievei
The mass fraction C to gather materials between i-stage sieve and (i+1) grade sievei, the granule number to gather materials in unit volume concrete can lead to
Cross formula (5) calculating:
In formula (5), Nj: the granule number to gather materials, unit are；Wj: the quality gathered materials in unit volume concrete, it is single
Position is kg；ρj: the density gathered materials, unit are kg/m3；And when gathering materials is fine aggregate, j=1；When gathering materials is coarse aggregate, j=
2, therefore deduce that the total particle number to gather materials, and then the mean radius gathered materials is calculated by formula (6)
In formula (6), W1: the quality of fine aggregate in unit volume concrete, unit are kg；W1: unit volume concrete
The quality of interior coarse aggregate, unit are kg；ρ1: the density of fine aggregate, unit are kg/m3；ρ2；The density of fine aggregate, unit are kg/
m3；N1: the granule number of fine aggregate, unit are；N2: the granule number of coarse aggregate, unit are.
The beneficial effects of the present invention are embodied in:
(1) present invention when predict Chloride Diffusion Coefficient in Concrete, essential information used for concrete formula and
Relevant raw materials performance saves plenty of time cost and economic cost compared with empirical method, and consider concrete it is micro-,
Influence of the microscopical structure to chloride diffusion coefficient, it is more acurrate compared with empirical method, also more scientific.
(2) it is proposed by the present invention by micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique to based on
Calculation machine performance requirement is not high, and more existing numerical calculations are more efficient, is easier to promote and apply.
Detailed description of the invention
Fig. 1 is flow chart of the invention in an embodiment.
Specific embodiment
It is clearly and completely described below in conjunction with technical solution of the attached drawing to the invention patent, it is clear that described
Embodiment is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
In the description of the present invention, it should be noted that such as occur term " center ", "upper", "lower", "left", "right",
The orientation or positional relationship of the instructions such as "vertical", "horizontal", "inner", "outside" is to be based on the orientation or positional relationship shown in the drawings,
Be merely for convenience of description of the present invention and simplification of the description, rather than the device or element of indication or suggestion meaning must have it is specific
Orientation, be constructed and operated in a specific orientation, therefore be not considered as limiting the invention.In addition, such as there is term "
One ", " second ", " third " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " peace such as occur
Dress ", " connected ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integrally
Connection；It can be mechanical connection, be also possible to be electrically connected；Can be directly connected, can also indirectly connected through an intermediary,
It can be the connection inside two elements.For the ordinary skill in the art, above-mentioned art can be understood with concrete condition
The concrete meaning of language in the present invention.
Referring to attached drawing, the present invention provides a kind of based on the prediction of micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete
Method includes the following steps:
Step 1, the three-dimensional microstructures of cement slurry in concrete are constructed, and determine the porosity of the cement slurry
The concrete include cement slurry and gather materials, and the cement slurry and it is described gather materials between there are interfaces transitions
Area；
The cement slurry includes that cement and water based on the match ratio of the cement slurry simulate the cement slurry
Three-dimensional microstructures, and the pore structure information of the three-dimensional microstructures is obtained, to obtain the porosity of cement paste
Specifically, the cement slurry is deployed by water and cement, based on the match ratio of the cement slurry, that is, it is based on
The match ratio of the water and cement.
Step 2, according to the porosity of cement pasteCalculate cement slurry chloride diffusion coefficient Dp:
Cement slurry chloride diffusion coefficient D is sought according to formula (1)p,
Dp/DCl=0.001+0.07 φp 2+H(φp-0.18)×1.8×(φp-0.18)2 (1)
Wherein, DCl: the diffusion coefficient of chloride ion in water, unit are m2/ s, and the D at 25 DEG CClIt is 2.03 × 10-9m2/
s；The porosity of the cement slurry；H:Heaviside function, and when x > 0, H (x)=1；When x≤0, H (x)=0；
Specifically, the diffusion coefficient D of chloride ion in waterClIt can be calculated according to formula (I).
Wherein, T: the absolute temperature of water, unit are K.
Step 3: the microscopical structure based on the concrete calculates concrete chloride ion diffusion system according to broad sense self_consistent model
Number D:
In formula (2), Va: the volume fraction gathered materials；Di: interfacial transition zone chloride diffusion coefficient (m2/s)；Interface
Transition region thickness tiWith aggregate particle mean radiusRatio, i.e.,
Specifically, the volume fraction gathered materials refers to the volume fraction gathered materials in the concrete.
Specifically, broad sense self_consistent model refers to: assuming that the structure of concrete is to gather materials and surrounding interfacial transition zone is embedding
Enter in uniform cement slurry, the pass of the concrete volume elements established on this basis and concrete entirety chloride diffusion coefficient
System.
Further, the microscopical structure of the concrete includes cement slurry phase, interfacial transition zone phase and phase of gathering materials；
The parameter of the microscopical structure of the concrete includes the volume fraction V to gather materialsa, interfacial transition zone porosity Di, interface
Transition region chloride diffusion coefficient Di, thickness of interfacial transition zone tiWith aggregate particle mean radius
The parameter of the concrete microstructure includes porosity of cement paste
Further, in the step 1, the three-dimensional microstructures of the cement slurry can be soft by HYMOSTRUC3D
Part or CEMHYD3D software obtain, and calculate porosity of cement paste by the three-dimensional microstructures
Specifically, the match ratio based on the cement slurry, can be given birth to using HYMOSTRUC3D software or CEMHYD3D software
At the three-dimensional microstructures model of cement slurry, and porosity of cement paste can be obtained based on three-dimensional microstructures model
Further, the step 3 median surface transition region chloride diffusion coefficient DiIt calculates by the following method:
By porosity of cement pasteIt substitutes into formula (3) and obtains interfacial transition zone porosityIt will be calculated again
Interfacial transition zone porosityThe interfacial transition zone chloride diffusion coefficient D can be obtained in substitution formula (4)i:
φi/φp=1.49+ (2.17 × 10-5)w/c×22.99 (3)
In formula (3), w/c is the ratio of mud of the concrete；
Di/DCl=0.001+0.07 φi 2+H(φi-0.18)×1.8×(φi-0.18)2 (4)。
Further, in the step 3, the thickness of interfacial transition zone ti=20 μm.
Further, the aggregate particle mean radius in the step 3It calculates by the following method:
The gradation gathered materials can indicate with three parameters, be respectively as follows: the total quantity M (unit is) of sieve, i-stage sieve it is straight
Diameter diThe mass fraction C to gather materials between i-stage sieve and (i+1) grade sievei, the granule number to gather materials in unit volume concrete can
To be calculated by formula (5):
In formula (5), Nj: the granule number to gather materials, unit are；Wj: the quality gathered materials in unit volume concrete, it is single
Position is kg；ρj: the density gathered materials, unit are kg/m3；And when gathering materials is fine aggregate, j=1；When gathering materials is coarse aggregate, j=
2, therefore deduce that the total particle number to gather materials, and then the mean radius gathered materials is calculated by formula (6)
In formula (6), W1: the quality of fine aggregate in unit volume concrete, unit are kg；W1: unit volume concrete
The quality of interior coarse aggregate, unit are kg；ρ1: the density of fine aggregate, unit are kg/m3；ρ2；The density of fine aggregate, unit are kg/
m3；N1: the granule number of fine aggregate, unit are；N2: the granule number of coarse aggregate, unit are.
Specifically, in cement concrete, it is generally recognized that partial size gathers materials greater than 4.75mm's for coarse aggregate, partial size be less than or
Equal to gathering materials for fine aggregate for 4.75mm.
Content described in this specification embodiment is only enumerating to the way of realization of inventive concept, protection of the invention
Range is not construed as being only limitted to the concrete form of embodiment statement, and protection scope of the present invention is also and in those skilled in the art
Member according to the present invention design it is conceivable that equivalent technologies mean.
Claims (6)
1. based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique, which is characterized in that including walking as follows
It is rapid:
Step 1: the three-dimensional microstructures of cement slurry in building concrete, and determine the porosity of the cement slurry
The concrete include cement slurry and gather materials, and the cement slurry and it is described gather materials between there are interfacial transition zones；
Based on the match ratio of the cement slurry, the three-dimensional microstructures of the cement slurry are simulated, and it is micro- to obtain the three-dimensional
The pore structure information for seeing structure, to obtain the porosity of cement paste
Step 2: according to the porosity of cement pasteCalculate cement slurry chloride diffusion coefficient Dp:
Cement slurry chloride diffusion coefficient D is sought according to formula (1)p,
Dp/DCl=0.001+0.07 φp 2+H(φp-0.18)×1.8×(φp-0.18)2 (1)
Wherein, DCl: the diffusion coefficient of chloride ion in water, unit are m2/ s, and the D at 25 DEG CClIt is 2.03 × 10-9m2/s；
The porosity of the cement slurry；H:Heaviside function, and when x > 0, H (x)=1；When x≤0, H (x)=0；
Step 3: the microscopical structure based on the concrete calculates Chloride Diffusion Coefficient in Concrete D according to broad sense self_consistent model:
In formula, Va: the volume fraction gathered materials；Di: interfacial transition zone chloride diffusion coefficient (m2/s)；Interfacial transition zone is thick
Spend tiWith aggregate particle mean radiusRatio, i.e.,
2. special as described in claim 1 based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique
Sign is: the microscopical structure of the concrete includes cement slurry phase, interfacial transition zone phase and phase of gathering materials；
The parameter of the microscopical structure of the concrete includes the volume fraction V to gather materialsa, interfacial transition zone porosity Di, interfaces transition
Area chloride diffusion coefficient Di, thickness of interfacial transition zone tiWith aggregate particle mean radius
The parameter of the concrete microstructure includes porosity of cement paste
3. it is according to claim 2 based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique,
Be characterized in that: in the step 1, the three-dimensional microstructures of the cement slurry, can by HYMOSTRUC3D software or
CEMHYD3D software obtains, and calculates porosity of cement paste by the three-dimensional microstructures
4. it is according to claim 3 based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique,
It is characterized in that: the step 3 median surface transition region chloride diffusion coefficient DiIt calculates by the following method:
By porosity of cement pasteIt substitutes into formula (3) and obtains interfacial transition zone porosityThe interface mistake that will be calculated again
Cross area's porosityThe interfacial transition zone chloride diffusion coefficient D can be obtained in substitution formula (4)i:
φi/φp=1.49+ (2.17 × 10-5)w/c×22.99 (3)
In formula, w/c is the ratio of mud of the concrete；
Di/DCl=0.001+0.07 φi 2+H(φi-0.18)×1.8×(φi-0.18)2 (4)。
5. it is according to claim 4 based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique,
It is characterized in that: in the step 3, the thickness of interfacial transition zone ti=20 μm.
6. it is according to claim 5 based on micro-, microscopic structural parameters Chloride Diffusion Coefficient in Concrete prediction technique,
It is characterized in that: in the step 3, aggregate particle mean radiusIt calculates by the following method:
Three parameters of the grade adapted to gather materials indicate, are respectively as follows: the total quantity M of sieve, the diameter d of i-stage sieveiWith i-stage sieve and (i
+ 1) the mass fraction C to gather materials between grade sievei, the granule number to gather materials in unit volume concrete can calculate by formula (5):
In formula (5), Nj: the granule number to gather materials, unit are；Wj: the quality gathered materials in unit volume concrete, unit are
kg；ρj: the density gathered materials, unit are kg/m3；And when gathering materials is fine aggregate, j=1；When gathering materials is coarse aggregate, j=2, by
This is calculated the mean radius gathered materials by formula (6) it can be concluded that the total particle number to gather materials
In formula (6), W1: the quality of fine aggregate in unit volume concrete, unit are kg；W1: it is thick in unit volume concrete
The quality gathered materials, unit are kg；ρ1: the density of fine aggregate, unit are kg/m3；ρ2；The density of fine aggregate, unit are kg/m3；N1:
The granule number of fine aggregate, unit are；N2: the granule number of coarse aggregate, unit are.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110568165A (en) * | 2019-07-30 | 2019-12-13 | 深圳大学 | Concrete mesoscopic chloride ion diffusion coefficient prediction method |
| CN114861496A (en) * | 2022-05-05 | 2022-08-05 | 哈尔滨工业大学 | Concrete mesoscopic structure chloride ion erosion model based on cold region natural environment effect |
| CN115205486A (en) * | 2022-07-14 | 2022-10-18 | 重庆交通大学 | Concrete three-dimensional microscopic numerical model construction method and chloride ion transmission simulation system |
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| CN103440409A (en) * | 2013-08-14 | 2013-12-11 | 河海大学 | Construction method for ion diffusion model of cement based composite material |
| CN106970207A (en) * | 2017-03-02 | 2017-07-21 | 西安交通大学 | A kind of method of the Chloride Ion in Concrete diffusion analysis based on meso-mechanical model |
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| CN103440409A (en) * | 2013-08-14 | 2013-12-11 | 河海大学 | Construction method for ion diffusion model of cement based composite material |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110568165A (en) * | 2019-07-30 | 2019-12-13 | 深圳大学 | Concrete mesoscopic chloride ion diffusion coefficient prediction method |
| CN114861496A (en) * | 2022-05-05 | 2022-08-05 | 哈尔滨工业大学 | Concrete mesoscopic structure chloride ion erosion model based on cold region natural environment effect |
| CN115205486A (en) * | 2022-07-14 | 2022-10-18 | 重庆交通大学 | Concrete three-dimensional microscopic numerical model construction method and chloride ion transmission simulation system |
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Application publication date: 20190115 Assignee: Zhejiang Tianzao Environmental Protection Technology Co.,Ltd. Assignor: JIANG University OF TECHNOLOGY Contract record no.: X2023980047334 Denomination of invention: Prediction method of chloride ion diffusion coefficient in concrete based on micro and micro structural parameters Granted publication date: 20210824 License type: Common License Record date: 20231116 Application publication date: 20190115 Assignee: Lishui Qianyuan Building Materials Technology Co.,Ltd. Assignor: JIANG University OF TECHNOLOGY Contract record no.: X2023980047331 Denomination of invention: Prediction method of chloride ion diffusion coefficient in concrete based on micro and micro structural parameters Granted publication date: 20210824 License type: Common License Record date: 20231116 |
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