CN115495699A - Adjustable and controllable concrete gravel gradation optimization method - Google Patents

Adjustable and controllable concrete gravel gradation optimization method Download PDF

Info

Publication number
CN115495699A
CN115495699A CN202211301588.5A CN202211301588A CN115495699A CN 115495699 A CN115495699 A CN 115495699A CN 202211301588 A CN202211301588 A CN 202211301588A CN 115495699 A CN115495699 A CN 115495699A
Authority
CN
China
Prior art keywords
grade
screening
crushed stone
optimization method
compounding
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.)
Pending
Application number
CN202211301588.5A
Other languages
Chinese (zh)
Inventor
朱中艺
赵利忠
胡斌
陈德智
倪伟
苏亚军
唐智峰
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.)
Cccc Third Navigation Nantong Offshore Engineering Co ltd
CCCC Third Harbor Engineering Co Ltd
Original Assignee
Cccc Third Navigation Nantong Offshore Engineering Co ltd
CCCC Third Harbor Engineering Co Ltd
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 Cccc Third Navigation Nantong Offshore Engineering Co ltd, CCCC Third Harbor Engineering Co Ltd filed Critical Cccc Third Navigation Nantong Offshore Engineering Co ltd
Priority to CN202211301588.5A priority Critical patent/CN115495699A/en
Publication of CN115495699A publication Critical patent/CN115495699A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • CCHEMISTRY; METALLURGY
    • C04CEMENTS; CONCRETE; ARTIFICIAL STONE; CERAMICS; REFRACTORIES
    • C04BLIME, MAGNESIA; SLAG; CEMENTS; COMPOSITIONS THEREOF, e.g. MORTARS, CONCRETE OR LIKE BUILDING MATERIALS; ARTIFICIAL STONE; CERAMICS; REFRACTORIES; TREATMENT OF NATURAL STONE
    • C04B14/00Use of inorganic materials as fillers, e.g. pigments, for mortars, concrete or artificial stone; Treatment of inorganic materials specially adapted to enhance their filling properties in mortars, concrete or artificial stone
    • C04B14/02Granular materials, e.g. microballoons
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W30/00Technologies for solid waste management
    • Y02W30/50Reuse, recycling or recovery technologies
    • Y02W30/91Use of waste materials as fillers for mortars or concrete

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Ceramic Engineering (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Civil Engineering (AREA)
  • Pure & Applied Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Materials Engineering (AREA)
  • Structural Engineering (AREA)
  • Organic Chemistry (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)

Abstract

The invention discloses an adjustable concrete macadam grading optimization method, which comprises the following steps: screening the A and B crushed stones by adopting a standard sieve respectively; calculating the fractional screen residue Ai and Bi of the grade A gravel and the grade B gravel according to the quality of the screened aggregates; calculating the sub-metering screen residue of the mixed crushed stones; determining a compounding ratio; and (4) verifying that the screening after the compounding is carried out, comparing with a theoretical value of the compounding, wherein the screen residue difference value of the screen hole score is less than or equal to 2%, and the error is within an acceptable range. According to the method, the sample is screened, the sample screening data is utilized, and the compounding proportion can be quickly determined by means of program software such as EXCEL and the like.

Description

Adjustable and controllable concrete gravel gradation optimization method
Technical Field
The invention belongs to the technical field of building materials, and particularly relates to an adjustable concrete macadam grading optimization method.
Background
The broken stones are main constituent materials of concrete, and the broken stones with different grain diameters are combined in different grades to form a basic framework of the concrete. The concrete destruction theory shows that: the grading proportion of the broken stones has great influence on the strength, durability and economy of the concrete. The particles with different particle diameters are properly matched, so that the broken stone has larger compact density and smaller void ratio, the water consumption of the concrete mixing ratio can be reduced, the using amount of a cementing material is reduced, the cost of the concrete is effectively reduced, and the compactness of the hardened concrete is improved.
The gradation of the crushed stones is regulated and controlled by a graphical method and a manual calculation method, and the regulation and control methods have large workload and are not easy to be mastered by general technicians. Also, the first-line personnel adopt a trial and error method to determine the proportion of the crushed stones with different particle sizes, the workload is large, and the result is often subjective.
Disclosure of Invention
The invention aims to provide an adjustable concrete macadam grading optimization method to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an adjustable and controllable concrete gravel gradation optimization method comprises the following steps:
a) And (3) screening the crushed stones A and B by adopting a standard sieve respectively:
the grain size of the grade A macadam is 5-10mm, and the grain size of the grade B macadam is 10-20mm;
obtaining graded coarse aggregates of parts with different particle sizes by screening of a standard sieve, wherein the classification of the graded coarse aggregates is kept synchronous with the standard sieve specification, and the graded coarse aggregates are gradually classified into 6 grades i according to the particle size, wherein i =1,2,3,4,5 and 6;
b) Calculating the fractional screen residue Ai and Bi of the grade A gravel and the grade B gravel according to the quality of the screened aggregates;
c) Calculating the sub-counting screen residue of the mixed crushed stones:
setting the blending proportion of the grade A gravel to be alpha, the blending proportion of the grade B gravel to be 1-alpha, the quality of the grade A gravel to be mA, the quality of a sample B to be mB, the mA being more than or equal to 2kg, the mB being more than or equal to 4kg, the mixed quality of the grade A gravel and the grade B gravel to be mAB, calculating the sub-metering surplus sieve passing rate of the mixed sand, ABi being the sub-metering surplus sieve passing rate of the mixed sand with different nominal diameters, ABi = (mB/mA) Ai = (alpha) + Bi (1-alpha);
d) Determining a compounding ratio:
if 0 < Σ ABi, < 10,i =1,2;40 < Σ ABi < 80, i =1,2,3,4;90 < Σ ABi < 100, i=1,2,3,4,5; if the numerical value of a certain column of the sigma ABi is smaller, comparing the surplus conditions of the gears A and B in the gear sample, and increasing the proportion of the sample with large surplus in the gear sample; otherwise, the same is true;
e) Verifying screening after compounding:
weighing the A-grade crushed stone and the B-grade crushed stone respectively according to the compounding ratio determined in the step d), mixing the A-grade crushed stone and the B-grade crushed stone, and screening the mixed crushed stones to obtain an actual sub-metering surplus sieve value after screening; then comparing with the theoretical value of the compound, the difference value of the sieve pores is less than or equal to 2 percent and is within the error range acceptable by the test.
Preferably: the grade is divided into 6 grades A i (i =1,2, \8230; 6) corresponding to a standard sieve side length of 26.5mm, 19.0mm, 16.0mm, 9.5mm, 4.75mm, 2.36 mm.
Preferably, the specific values for screening the grade a crushed stones and the grade B crushed stones in the step a) are as follows:
Figure BDA0003904302790000031
screening value of grade A macadam
Figure BDA0003904302790000032
Screening values for grade B rubbles.
Preferably, in the step c), the calculated fractional screen residue of the mixed crushed stone is as follows:
Figure BDA0003904302790000033
Figure BDA0003904302790000041
grading and screening the mixed crushed stones.
Preferably, the screening after compounding is verified in step e), as shown in the following table:
Figure BDA0003904302790000042
the actual screening results are compared to the programmed calculation results.
The invention has the technical effects and advantages that:
the method can rapidly determine the compounding proportion by screening the sample and utilizing the sample screening data and by means of program software such as EXCEL and the like, is simple and easy to learn, has strong operability, greatly saves the test workload, improves the working efficiency and saves the engineering time.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Example (b):
screening test crushed stone
The samples A and B were separately screened, and the specific values are shown in tables 1 and 2
Figure BDA0003904302790000051
TABLE 1 sieving values for sample A
Figure BDA0003904302790000052
TABLE 2 sample B screening values calculation of the sub-calculated screen residue of the mixed crushed stone, the specific values of calculation are shown in TABLE 3
Figure BDA0003904302790000053
Figure BDA0003904302790000061
TABLE 3 sub-metered Screen allowance for Mixed crushed stones
Determination of compounding ratio
First, assuming α =0.3, that is, a: B =3, 7, it is calculated:
ΣAB i (i=1,2)=5.8,ΣAB i (i=1,2,3,4)=68.1,ΣAB i (i=1,2,3,4,5)
=95.3, all met the requirement without changing the blending ratio α.
Verification of screening after compounding
According to the determined compounding ratio of 3: and 7, weighing and mixing the samples A and 2.4kg and the samples B and 5.6kg respectively, and then screening the crushed stone to obtain the actual calculated residue value after screening. Meanwhile, compared with the theoretical value of compounding, the difference values of the sieve pores are all within 2 percent. See table 4 for details.
Therefore, the method can be used for determining the compounding ratio.
Figure BDA0003904302790000062
TABLE 4 comparison of actual screening results with programmed calculation results
The applicant further states that the present invention is described in the above embodiments to explain the implementation method and device structure of the present invention, but the present invention is not limited to the above embodiments, i.e. it is not meant to imply that the present invention must rely on the above methods and structures to implement the present invention. It should be understood by those skilled in the art that any modifications to the present invention, the implementation of alternative equivalent substitutions and additions of steps, the selection of specific modes, etc., are within the scope and disclosure of the present invention.
The present invention is not limited to the above embodiments, and all the modes for achieving the objects of the present invention by using the structure and the method similar to the present invention are within the protection scope of the present invention.

Claims (5)

1. An adjustable concrete macadam grading optimization method is characterized by comprising the following steps: the method comprises the following steps:
a) And (3) screening the crushed stones A and B by adopting a standard sieve respectively:
the particle size of the grade A gravel is 5-10mm, and the particle size of the grade B gravel is 10-20mm;
obtaining graded coarse aggregates with different grain sizes by screening of a standard sieve, wherein the classification of the graded coarse aggregates is synchronous with the standard sieve specification, and the graded coarse aggregates are gradually classified into 6 grades i according to the grain size, wherein i =1,2,3,4,5 and 6;
b) Calculating the fractional screen residue A of the grade A crushed stone and the grade B crushed stone according to the quality of the screened aggregate i And B i
c) Calculating the divided and calculated screen residue of the mixed crushed stones:
setting upThe blending proportion of the grade A crushed stone is alpha, the blending proportion of the grade B crushed stone is 1-alpha, and the mass of the grade A crushed stone is m A Sample B having mass m B And m is A ≥2kg,m B Not less than 4kg, and the mixed mass of the grade A crushed stone and the grade B crushed stone is m AB Calculating the fractional oversize passing rate AB of the mixed sand i For the separate metering of the oversize throughputs, AB, of the different nominal diameters of the mixed sands i =(m B /m A )A i *α+B i (1-α);
d) Determining a compounding ratio:
if 0 < Σ AB i ,<10,i=1,2;40<ΣAB i <80,i=1,2,3,4;90<ΣAB i < 100,i=1,2,3,4,5; if the numerical value of a certain column of the sigma ABi is smaller, comparing the surplus conditions of the gears A and B in the gear sample, and increasing the proportion of the sample with large surplus in the gear sample; otherwise, it is also true;
e) Verifying screening after compounding:
weighing the A-grade crushed stone and the B-grade crushed stone respectively according to the compounding ratio determined in the step d), mixing the A-grade crushed stone and the B-grade crushed stone, and screening the mixed crushed stones to obtain an actual sub-metering surplus sieve value after screening; then comparing with the theoretical value of the compound, the difference value of the sieve pores is less than or equal to 2 percent and is within the error range of the test.
2. The controllable rock crushing grading optimization method for concrete according to claim 1, wherein: the grade is divided into 6 grades A i (i =1,2, \82306; 6) corresponding to a standard sieve length of 26.5mm, 19.0mm, 16.0mm, 9.5mm, 4.75mm, 2.36 mm.
3. The controllable concrete macadam gradation optimization method according to claim 1, wherein: the specific numerical values for screening the grade A crushed stone and the grade B crushed stone in the step a) are as follows:
Figure FDA0003904302780000021
screening value of grade A crushed stone
Figure FDA0003904302780000022
Figure FDA0003904302780000031
Screening values for grade B rubbles.
4. The controllable concrete macadam gradation optimization method according to claim 1, wherein: in the step c), the calculated fractional screen residue of the mixed crushed stone is calculated, and the calculated numerical values are specifically as follows:
Figure FDA0003904302780000032
grading and screening the crushed stones after mixing.
5. The controllable rock crushing grading optimization method for concrete according to claim 1, wherein: the screening after compounding is verified in step e) and is shown in the following table:
Figure FDA0003904302780000033
the actual screening results are compared to the programmed calculation results.
CN202211301588.5A 2022-10-24 2022-10-24 Adjustable and controllable concrete gravel gradation optimization method Pending CN115495699A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211301588.5A CN115495699A (en) 2022-10-24 2022-10-24 Adjustable and controllable concrete gravel gradation optimization method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211301588.5A CN115495699A (en) 2022-10-24 2022-10-24 Adjustable and controllable concrete gravel gradation optimization method

Publications (1)

Publication Number Publication Date
CN115495699A true CN115495699A (en) 2022-12-20

Family

ID=84473545

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211301588.5A Pending CN115495699A (en) 2022-10-24 2022-10-24 Adjustable and controllable concrete gravel gradation optimization method

Country Status (1)

Country Link
CN (1) CN115495699A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103264445A (en) * 2013-05-23 2013-08-28 交通运输部公路科学研究所 Proportion determination method based on balance coefficient for asphalt mixture hot-aggregate bins
CN110154231A (en) * 2019-06-26 2019-08-23 东莞市源胜建设工程质量检测有限公司 A kind of modulator approach of optimization mixing sand particle size distribution
CN111847947A (en) * 2020-07-30 2020-10-30 中建西部建设新疆有限公司 Sandstone aggregate grading optimization method
CN113077852A (en) * 2021-03-26 2021-07-06 山东省路桥集团有限公司 Cement stabilized macadam mineral aggregate grading optimization method based on waste concrete regenerated aggregate

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103264445A (en) * 2013-05-23 2013-08-28 交通运输部公路科学研究所 Proportion determination method based on balance coefficient for asphalt mixture hot-aggregate bins
CN110154231A (en) * 2019-06-26 2019-08-23 东莞市源胜建设工程质量检测有限公司 A kind of modulator approach of optimization mixing sand particle size distribution
CN111847947A (en) * 2020-07-30 2020-10-30 中建西部建设新疆有限公司 Sandstone aggregate grading optimization method
CN113077852A (en) * 2021-03-26 2021-07-06 山东省路桥集团有限公司 Cement stabilized macadam mineral aggregate grading optimization method based on waste concrete regenerated aggregate

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张俊红: "道路建筑材料", vol. 1, 31 August 2020, 重庆大学出版社, pages: 270 - 271 *
肖三保: "自编EXCEL程序调整混凝土用砂细度模数及颗粒级配", 福建建设科技, no. 2, pages 47 - 48 *

Similar Documents

Publication Publication Date Title
Jones et al. Comparison of particle packing models for proportioning concrete constitutents for minimum voids ratio
Mir Improved concrete properties using quarry dust as replacement for natural sand
CN107391790B (en) Green self-compacting concrete and preparation method thereof
CN108585635A (en) A method of improving material granule packed density by optimizing fine and close filling particle diameter distribution
CN106250642A (en) A kind of aggregate grading design method improving asphalt mechanical property
US6546793B2 (en) Method for manufacturing concrete
CN110502854B (en) Preparation method of concrete for replacing resources
EP3307687B1 (en) Lightweight fine ceramic particulates
CN115495699A (en) Adjustable and controllable concrete gravel gradation optimization method
CN108996932B (en) Plant-mixed hot recycling grading design method for asphalt pavement reclaimed materials
RU2578700C1 (en) Method of determining composition of concrete mixture
CN105366973B (en) One kind gelling manual sandstone material and preparation method thereof
JP2018145056A (en) Fine aggregate for concrete, and selecting method thereof
CN115446985A (en) Adjustable and controllable concrete sand thickness and gradation optimization method
CN117253561A (en) Framework compact type cement stabilized macadam grading design method by adding fine grain weathered material
CN115290530B (en) Method for determining permeability coefficient of discrete material
MC et al. Characteristics of crushed and alternative fine aggregates based on flow, shear and impact behaviour
Nwafor et al. Partial replacement of river gravel with crushed granite to determine the optimum compressive strength of concrete
Liu et al. Particle packing modelling of recycled aggregate
Kannan et al. Replacement of river sand by M Sand Concrete
Radhika et al. Optimization of Mix Proportioning for Self Compacting Concrete using Particle Packing Theories
Joshua et al. Recycling fine sandcrete block waste (FSBW) as fine Aggregate in the production of sandcrete Block
Li et al. Determining the Optimal Gradation of Mixed Recycled Aggregate Containing Coal Gangue Brick Aggregate
Abdishakur et al. EFFECT OF BRICK DUST ON SOME PROPERTIES OF CONCRETE
RU2079839C1 (en) Process of preparation of composition of heavy-weight concrete

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination