Rapid detection method for concrete aggregate
Through the screening workstation and data processing system combined with scanning electron microscopy analysis, the problem of traditional low detection efficiency is solved, and the rapid and accurate evaluation of aggregate particle size distribution and microscopic characteristics is achieved, and concrete detection efficiency and quality control are improved.
Patent Information
- Application Number
- CN202411325748.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-23
- Publication Date
- 2024-12-10
AI Technical Summary
Traditional concrete aggregate detection methods are inefficient, and it is difficult to take into account the macroscopic particle size distribution and microscopic structural characteristics of aggregates, which makes the inspection process take a long time, making it difficult to quickly and accurately identify potential defects, and limit the optimized design of concrete quality.
The screening workstation is combined with a data processing system for particle size grading, and microscopic features are captured through scanning electron microscopy and energy spectrum analysis, the results are integrated for comprehensive evaluation, detection reports are generated, sample preparation steps are simplified, and detection cycles are shortened.
It realizes efficient grading and instant data analysis of aggregate particle size distribution, improves detection efficiency and quality control level, simplifies operational processes, reduces human errors, and is suitable for a variety of aggregate types.
Smart Images

Figure CN119104583A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of building material detection, and in particular to a method for rapid detection of concrete aggregate. Background Art
[0002] Concrete is one of the most widely used building materials in modern times, and its performance is directly related to the safety, durability and economy of buildings. As an important component of concrete, the particle size distribution, microscopic characteristics and physical properties of concrete aggregate have a vital impact on the overall performance of concrete. Therefore, the quality control of aggregate, especially the rapid and accurate detection of particle size distribution, shape, surface characteristics and chemical composition, is the key link to ensure the quality of concrete.
[0003] Traditional concrete aggregate detection methods rely on cumbersome manual operations and a single detection method, resulting in low efficiency. It is difficult to take into account the macroscopic particle size distribution and microstructural characteristics of aggregates, resulting in a time-consuming detection process. It is difficult to fully and accurately evaluate the comprehensive performance of aggregates, and it is impossible to quickly and accurately identify potential defects in aggregates, which limits the effective control and optimization design of concrete quality, resulting in low detection efficiency of concrete aggregates. Therefore, a rapid detection method for concrete aggregates is urgently needed to solve the above problems. Summary of the invention
[0004] In view of the deficiencies in the prior art, the present invention aims to provide a method for rapid detection of concrete aggregates.
[0005] A method for rapid detection of concrete aggregates comprises the following steps:
[0006] (1) According to the use standard, randomly select representative samples from different parts of concrete aggregate, remove impurities and accurately weigh the original total mass using an electronic balance, pack the aggregate samples as needed, and preliminarily screen the samples according to the critical particle size range;
[0007] (2) Using the built-in standard screening workstation, the aggregate sample is fed through a series of standard sieves, the corresponding sieve hole nominal diameter is selected, and the sample is weighed using an electronic balance to collect the sieve residue data at each level;
[0008] (3) Select representative particles from samples of key particle size segments and perform necessary pretreatment;
[0009] Scan the treated samples using a scanning electron microscope to capture microscopic images of the particle surface;
[0010] Further use the energy spectrum analysis function to analyze the aggregate composition and gain a deeper understanding of the microstructure;
[0011] (4) Integrate the results of screening and electron microscopy analysis to comprehensively evaluate the particle size distribution and microscopic characteristics of aggregates, comprehensively evaluate aggregate classification and physical properties, and provide optimization suggestions;
[0012] (5) Generate a comprehensive test report and output it via a built-in printer or electronically.
[0013] Furthermore, the usage standard is JGJ 52-2006 standard.
[0014] Furthermore, the concrete aggregate includes natural, machine-made and recycled aggregates.
[0015] Furthermore, a data processing system including a touch screen is embedded in the electronic balance.
[0016] Furthermore, the key particle size range is 2.36 mm-4.75 mm.
[0017] Furthermore, the scanning electron microscope is a high-resolution scanning electron microscope.
[0018] Furthermore, the pretreatment is carried out by ultrasonic cleaning followed by drying.
[0019] Furthermore, the screening workstation is connected to a data processing system.
[0020] Furthermore, the data processing system collects data through screening tests, and calculates the fineness modulus, the sample quality difference before and after screening, and the cumulative sieve residue percentage to obtain the aggregate sample particle distribution. According to the calculation results, abnormal samples are marked and adjustment measures are recommended.
[0021] Furthermore, the data processing system combines electron microscope microscopic features with particle size data to directly correlate aggregate properties and provide guidance for optimization recommendations.
[0022] The beneficial effects achieved by the present invention are as follows: 1. The present invention realizes efficient classification of aggregate particle size and real-time analysis of data by combining a screening workstation with a data processing system, can quickly identify particle size distribution, and calculate key indicators such as fineness modulus; uses a scanning electron microscope to capture microscopic features such as cracks and pores on the surface of aggregates, and deeply analyzes the chemical composition of aggregates through energy spectrum analysis, providing strong support for concrete mix design and production process optimization, thereby improving the detection efficiency of concrete aggregates.
[0023] 2. The present invention combines screening data with the microscopic analysis results of a scanning electron microscope to facilitate a comprehensive evaluation of the particle size distribution, microscopic characteristics and physical properties of aggregates, providing a more accurate and comprehensive basis for concrete quality control, thereby improving overall production efficiency and quality control levels.
[0024] 3. The present invention greatly simplifies the sample preparation steps and shortens the detection cycle through direct screening and scanning electron microscope analysis, making each step from sample collection to data analysis more accurate and rapid, thereby improving the efficiency of concrete aggregate detection.
[0025] 4. The present invention has a built-in data processing system through an electronic balance and is connected to a screening workstation to achieve efficient data recording and processing, reduce human operation errors, and help accurately evaluate the macro and micro characteristics of aggregates.
[0026] 5. The present invention complies with the JGJ 52-206 standard and is applicable to various types of aggregates, improving the versatility and market adaptability of the method. At the same time, the built-in data processing system of the electronic balance improves the convenience of operation. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 The figure is a schematic flow chart of the method for rapid detection of concrete aggregates used in the embodiments and comparative examples of the present invention. DETAILED DESCRIPTION
[0028] The present invention is further described in detail below in conjunction with specific embodiments.
[0029] In the present invention, unless otherwise specified, the raw materials and equipment used can be purchased from the market or are commonly used in the art. The methods in the following embodiments, unless otherwise specified, are all conventional methods in the art.
[0030] Example 1: A method for rapid detection of concrete aggregates, such as Figure 1 As shown, the following steps are included:
[0031] (1) Select natural aggregate as the raw material of concrete. According to the JGJ 52-2006 standard, randomly select representative samples from different parts of natural aggregate. After removing impurities, use an electronic balance to accurately weigh the original total mass. Pack the aggregate samples as needed, and preliminarily screen the samples according to the key particle size range of 2.36 mm-4.75 mm;
[0032] The electronic balance has a data processing system embedded inside and is equipped with a touch screen;
[0033] (2) The sample is sent to a screening workstation that meets the JGJ 52-2006 standard, screened through a series of standard sieves, weighed using an electronic balance, and the residual data at each level are recorded;
[0034] The data processing system collects data through screening tests, and calculates the fineness modulus, the sample quality difference before and after screening, and the cumulative percentage of screen residue, and obtains the particle grading area where the aggregate sample is located. Based on the calculation results, the system marks abnormal samples and recommends adjustment measures.
[0035] (3) Select representative particles from the samples of the key particle size segment, and after ultrasonic cleaning and drying, use a high-resolution scanning electron microscope to capture microscopic images of the sample surface features, cracks, pores, etc., and use the energy spectrum analysis function to analyze the aggregate composition;
[0036] (4) Integrate the results of screening and electron microscopy analysis to comprehensively evaluate the particle size distribution and microscopic characteristics of natural aggregates and provide optimization suggestions;
[0037] (5) Generate a comprehensive test report, including particle size distribution, microscopic feature description, comprehensive performance evaluation, and optimization suggestions. The report is output through the built-in printer.
[0038] Example 2: A method for rapid detection of concrete aggregates, such as Figure 1 As shown, the following steps are included:
[0039] (1) Select machine-made aggregate as the raw material for concrete, and randomly select representative samples from different locations of the machine-made aggregate production line according to the JGJ 52-2006 standard;
[0040] (2) Send the sample directly to the screening workstation with JGJ 52-2006 standard, screen it through the preset standard screen, and obtain the aggregate quality data of each level of screen residue in real time;
[0041] The data processing system collects the screen residue data of each level provided by the screening workstation in real time, calculates the fineness modulus, accumulates the screen residue percentage, and obtains the particle grading area where the aggregate sample is located. Based on the calculation results, it marks abnormal samples and recommends adjustment measures.
[0042] (3) Automatically select representative particles from the critical particle size segment after screening, use a high-resolution scanning electron microscope to capture microscopic images of sample surface features, cracks, pores, etc., and use the energy spectrum analysis function to analyze the aggregate composition;
[0043] (4) Integrate the results of screening and electron microscopy analysis to comprehensively evaluate the particle size distribution and microscopic characteristics of the machine-made aggregate, and provide optimization suggestions to adjust the production process parameters;
[0044] (5) Based on the data analysis results, a comprehensive inspection report for the production line is generated, including particle size distribution, microscopic feature description, comprehensive performance evaluation, and optimization suggestions, providing a basis for quality management and control of the production line.
[0045] Example 3: A method for rapid detection of concrete aggregates, such as Figure 1 As shown, the following steps are included:
[0046] (1) Select recycled aggregate as the raw material for concrete. According to the JGJ 52-2006 standard, randomly select representative samples from the recycled aggregate, remove impurities and pack the aggregate samples as needed;
[0047] (2) Use a screening workstation to perform multi-stage screening on the recycled aggregate, use sieves with different apertures for grading, weigh the aggregates at each level after screening, and record the weight and proportion of each level of aggregate;
[0048] The system collects data through screening tests, calculates fineness modulus, cumulative sieve residue percentage, analyzes the particle size distribution of aggregate samples, marks abnormal samples based on the calculation results, and recommends adjustment measures;
[0049] (3) Use high-resolution scanning electron microscopy to capture microscopic images of sample surface features, cracks, pores, etc., observe and analyze the microstructure of recycled aggregate particles, and conduct in-depth research;
[0050] (4) Integrate the results of screening and electron microscopy analysis, and conduct a comprehensive evaluation of the physical properties and stability of recycled aggregates. Based on the evaluation results, provide optimization suggestions for recycled aggregates;
[0051] (5) Generate a comprehensive test report, including particle size distribution, microscopic characteristics description, comprehensive performance evaluation, and optimization suggestions, to provide a basis for the resource utilization of recycled aggregates.
[0052] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.
Claims
1. A method for rapid detection of concrete aggregates, characterized in that: The following steps are involved: (1) According to the use standard, randomly select representative samples from different parts of concrete aggregate, remove impurities and accurately weigh the original total mass using an electronic balance, pack the aggregate samples as needed, and preliminarily screen the samples according to the critical particle size range; (2) Using the built-in standard screening workstation, the aggregate sample is fed through a series of standard sieves, the corresponding sieve hole nominal diameter is selected, and the sample is weighed using an electronic balance to collect the sieve residue data at each level; (3) Select representative particles from samples of key particle size segments and perform necessary pretreatment; Use a scanning electron microscope to scan the processed samples and capture microscopic images of the particle surface; further use the energy spectrum analysis function to analyze the aggregate composition and gain a deeper understanding of the microstructure; (4) Integrate the results of screening and electron microscopy analysis to comprehensively evaluate the particle size distribution and microscopic characteristics of aggregates, comprehensively evaluate aggregate classification and physical properties, and provide optimization suggestions; (5) Generate a comprehensive test report and output it via a built-in printer or electronically.
2. A method for rapid detection of concrete aggregate according to claim 1, characterized in that: The standard used is JGJ 52-2006 standard.
3. A method for rapid detection of concrete aggregate according to claim 1, characterized in that: The concrete aggregates include natural, machine-made and recycled aggregates.
4. A method for rapid detection of concrete aggregate according to claim 1, characterized in that: The electronic balance has a data processing system embedded inside, including a touch screen.
5. A method for rapid detection of concrete aggregate according to claim 1, characterized in that: The key particle size range is 2.36mm-4.75mm.
6. A method for rapid detection of concrete aggregate according to claim 1, characterized in that: The scanning electron microscope is a high-resolution scanning electron microscope.
7. A method for rapid detection of concrete aggregate according to claim 1, characterized in that: The pretreatment is carried out by ultrasonic cleaning followed by drying.
8. A method for rapid detection of concrete aggregate according to claim 1, characterized in that: The screening workstation is connected to a data processing system.
9. A method for rapid detection of concrete aggregate according to claim 1, characterized in that: The data processing system collects data through screening tests, and calculates fineness modulus, sample quality difference before and after screening, and cumulative sieve residue percentage to obtain aggregate sample particle distribution. Based on the calculation results, abnormal samples are marked and adjustment measures are recommended.
10. A method for rapid detection of concrete aggregate according to claim 1, characterized in that: The data processing system combines electron microscope microscopic features with particle size data to directly correlate aggregate properties and provide guidance for optimization recommendations.
