Concrete strength detection method based on microwave curing
By combining microwave sensor arrays and hydration dynamics models, the time-consuming and destructive problems of traditional concrete strength testing have been solved, and real-time, non-destructive and efficient concrete strength testing has been achieved, improving construction efficiency and accuracy.
Patent Information
- Application Number
- CN202510757940.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-09
- Publication Date
- 2025-09-19
AI Technical Summary
Traditional concrete strength testing methods are time-consuming and destructive, and cannot achieve real-time, non-destructive and efficient testing, resulting in information lag during the construction process.
By deploying a microwave sensor array to monitor microwave signals in real time, a primary prediction is made in combination with a concrete strength prediction model, and the hydration kinetics model and environmental calibration factors are introduced for correction to ultimately obtain the concrete strength.
It realizes real-time, non-destructive monitoring of concrete strength, improves the accuracy and efficiency of detection, and enables timely adjustment of construction plans.
Smart Images
Figure CN120668689A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of concrete strength detection, and in particular to a concrete strength detection method based on microwave curing. Background Art
[0002] In construction projects, concrete strength is an important indicator of its quality and durability. Traditionally, concrete strength testing relies on destructive testing methods such as rebound, core drilling, or pull-out methods. These methods often require sampling and destruction of the concrete structure during construction, which is time-consuming and can affect the overall quality of the project. Especially during large-scale construction, it is difficult to provide real-time feedback on changes in concrete strength. Furthermore, these methods often have a certain time delay, as the final assessment of concrete strength can only be obtained after the concrete has been cured for a period of time. This causes information lag during the construction process and is not conducive to real-time adjustment of curing conditions and construction plans.
[0003] At the same time, the above-mentioned existing technologies also have technical problems such as low efficiency and accuracy in concrete strength detection and the inability to detect concrete strength in real time and completely non-destructively. Summary of the Invention
[0004] The present invention provides a concrete strength detection method based on microwave curing to solve the technical problems of low efficiency, low accuracy and inability to detect concrete strength in real time and completely non-destructively.
[0005] The present invention provides a method for testing concrete strength based on microwave curing, which specifically includes the following technical solutions: A method for testing concrete strength based on microwave curing, comprising the following steps: S1. Deploy a microwave sensor array to monitor microwave signals in real time and preprocess them to obtain preprocessed microwave signals; extract features from the preprocessed microwave signals and perform a preliminary prediction of concrete strength using a concrete strength prediction model to obtain a preliminary prediction result of concrete strength; S2. Introduce the hydration dynamics model to correct the primary prediction results of concrete strength to obtain the corrected concrete strength; at the same time, calibrate the corrected concrete strength in combination with the environmental calibration factor to obtain the final concrete strength, and then conduct concrete strength testing.
[0006] Preferably, the S1 specifically includes: The preprocessed microwave signal is subjected to feature extraction to obtain preliminary features of the preprocessed microwave signal, and the preliminary features of the preprocessed microwave signal are subjected to normalization processing to keep the dimensions of the preliminary features consistent.
[0007] Preferably, the S1 specifically includes: The concrete strength prediction model includes an input layer, a hidden layer, and an output layer; and the accuracy of the concrete strength prediction model is evaluated by using cross-validation and error evaluation during the training process.
[0008] Preferably, the S2 specifically includes: The hydration kinetics model is used to describe the changes in the degree of hydration of concrete. Based on the changes in the degree of hydration, the primary prediction results of concrete strength and the correction coefficient of hydration reaction on concrete strength are combined, and a correction factor is introduced to obtain the corrected concrete strength.
[0009] Preferably, the S2 specifically includes: The accuracy of concrete strength is adjusted through environmental calibration factors, and the corrected concrete strength is calibrated in accordance with the calibration effects of temperature and humidity on concrete strength.
[0010] Preferably, the S2 specifically includes: In the process of calculating the environmental calibration factor, the temperature correction coefficient is multiplied by the change ratio of the actual temperature relative to the standard temperature to express the correction factor of the impact of temperature change on concrete strength; the humidity correction coefficient is multiplied by the change ratio between the actual humidity and the standard humidity to express the correction factor of the impact of humidity change on concrete strength, and the products of the two parts are added together to obtain the environmental calibration factor.
[0011] Preferably, the S2 specifically includes: During the environmental calibration process, the environmental calibration coefficient is introduced and combined with the corrected concrete strength to obtain the final concrete strength.
[0012] Preferably, the S2 specifically includes: The final concrete strength is calculated as: , in, is the final concrete strength; is the corrected concrete strength; is the environmental calibration factor; It's time Environmental calibration factors; is the environmental calibration index; is an exponential term.
[0013] The beneficial effects of the technical solution of the present invention are: 1. By deploying a microwave sensor array, monitoring microwave signals in real time, and analyzing them in combination with a concrete strength prediction model, real-time, non-destructive strength monitoring can be achieved during the concrete curing process. The advantage of this method is that it can obtain strength prediction results in real time during the concrete curing process, without waiting for the end of the traditional curing cycle or conducting destructive testing. This can greatly accelerate the speed of concrete quality monitoring and improve construction efficiency.
[0014] 2. By introducing a hydration kinetics model to correct the primary concrete prediction results, the influence of factors such as cement hydration and pore structure on concrete strength is taken into account. Calibration with environmental calibration factors further improves the accuracy of concrete strength prediction. This correction process not only relies on experimental data but also integrates the physical and chemical reaction processes of concrete itself, making the final concrete strength more accurate and avoiding the oversimplification of concrete hydration reactions in traditional models. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 This is a flow chart of a concrete strength detection method based on microwave curing according to the present invention. DETAILED DESCRIPTION
[0016] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.
[0017] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
[0018] The following describes in detail a concrete strength detection method based on microwave curing provided by the present invention with reference to the accompanying drawings.
[0019] Refer to the attached Figure 1 , which shows a flow chart of a concrete strength detection method based on microwave curing provided by one embodiment of the present invention, the method comprising the following steps: S1. Deploy a microwave sensor array to monitor microwave signals in real time and preprocess them to obtain preprocessed microwave signals; extract features from the preprocessed microwave signals and perform a preliminary prediction of concrete strength using a concrete strength prediction model to obtain a preliminary prediction result of concrete strength; After concrete is poured and enters the curing phase, a microwave sensor array is deployed in pre-defined holes on or within the concrete. This array consists of multiple transmitters and receivers, forming a bidirectional excitation-reception structure. The number of microwave sensors is determined by professional technicians based on the concrete volume and structural complexity; for example, a minimum array of 4×4 is recommended. The microwave sensors operate in the X-band (8–12 GHz) to achieve optimal penetration depth and balanced material response accuracy. A microwave source transmits a continuous wave within a specific frequency range into the concrete. Receivers at various locations measure the concrete's response to this wave. The acquisition interval is determined based on the specific application scenario, such as less than 10 minutes, to effectively capture subtle changes in the concrete's hydration process.
[0020] The microwave sensor array deployed above monitors microwave signals in real time, including reflected and transmitted signals, phase changes, and signal attenuation. These microwave signals are all affected by the physical and chemical properties of concrete. The microwave signals undergo preprocessing, including denoising (e.g., filtering techniques such as Kalman filtering and wavelet transform), signal correction (e.g., correcting systematic errors in microwave sensors by setting a reference signal or conducting calibration experiments), and normalization (standardizing microwave signals to make them comparable across time periods and environments. For example, microwave signals at different time points can be converted to standardized amplitude values to reduce the impact of external environmental factors on the microwave signals). These preprocessing processes utilize techniques well known to those skilled in the art and are not detailed here.
[0021] Based on the preprocessed microwave signal, the existing feature engineering technology (such as time domain and frequency domain analysis) is used to extract the features of the preprocessed microwave signal to obtain the preliminary features of the preprocessed microwave signal, and the preliminary features of the preprocessed microwave signal are normalized to make their dimensions consistent to avoid errors caused by interference from different time periods. The concrete strength prediction model is then combined to perform a primary prediction of concrete strength to obtain a primary prediction result of concrete strength. The concrete strength prediction model is a concrete strength prediction model trained with existing experimental data. The experimental data is experimental data based on microwave signals and concrete strength at different time points. The concrete strength prediction model adopts a multi-layer fully connected neural network, including an input layer, hidden layers (fully connected layers, the specific number is determined according to the application scenario), and an output layer; and during the training process, the accuracy of the concrete strength prediction model is evaluated by using existing cross-validation and error evaluation (such as mean square error MSE).
[0022] S2. Introduce the hydration dynamics model to correct the primary prediction results of concrete strength to obtain the corrected concrete strength; at the same time, calibrate the corrected concrete strength in combination with the environmental calibration factor to obtain the final concrete strength, and then conduct concrete strength testing.
[0023] Since the hydration reaction process of concrete is complex, the growth of concrete strength is affected by many factors such as cement, aggregate, admixture, etc. Therefore, the primary prediction results of concrete strength are Perform physical corrections. In this correction phase, the primary prediction results of concrete strength are corrected by introducing a hydration kinetics model, taking into account the relationship between the hydration process and strength development of concrete. The hydration reaction in concrete will continuously generate hydration products over time. These hydration products will affect the pore structure of the concrete, thereby affecting the propagation of microwave signals. At the same time, the hydration kinetics model is used to describe the degree of concrete hydration. The mathematical formula for the change is: , in, It is concrete in time The degree of hydration, that is, the progress of cement hydration reaction; The maximum hydration degree indicates the final saturation degree of concrete hydration reaction, which is determined by experimental method and the reference value is ; It is a coefficient that affects the hydration rate and is closely related to the initial hydration rate of concrete and the initial stage of the hydration reaction. The specific value depends on the concrete type and curing conditions. The reference value range is ; It is the attenuation coefficient of the hydration reaction, which determines the rate at which the hydration reaction decays over time. It is determined by experimental methods. The specific value depends on the curing conditions of the concrete. The reference value range is ; It is the time during the concrete curing process; is an exponential decay term of time, indicating that the hydration rate gradually slows down with time.
[0024] By hydration level The changes in can be used to infer the porosity and density of concrete, which in turn affects the improvement of concrete strength. At the same time, through existing data regression analysis or curve fitting technology, the corrected concrete strength can be obtained. The calculation formula is: , in, is the corrected concrete strength; It is the primary prediction result of concrete strength; It is the correction coefficient of hydration reaction on concrete strength, which reflects the intensity of the influence of hydration products on concrete strength during the hydration reaction. It is determined by existing regression analysis or optimization algorithm, and the reference value range is ; It is the index of the growth of concrete strength due to hydration reaction, reflecting the degree of hydration. The nonlinear effect on concrete strength growth is determined according to the specific concrete properties (such as cement type, mix ratio, porosity, etc.), and the reference value range is ; It indicates the enhancing effect of hydration degree on the strength of modified concrete, and its influence gradually changes with time; It reflects the nonlinear correction of concrete strength by the dynamic process of hydration reaction; As the overall correction factor, it describes the nonlinear correction effect of concrete strength growth during the hydration reaction process; Indicates the preliminary prediction results of concrete strength Based on the correction factor To adjust the concrete strength value, the nonlinear contribution of hydration reaction to concrete strength is taken into account.
[0025] Furthermore, concrete strength is not only affected by hydration reactions, but also significantly by external environmental factors such as temperature and humidity. To further improve the accuracy of concrete strength, an environmental calibration factor is introduced to consider the calibration effect of temperature and humidity on concrete strength. For example, environmental factors often accelerate or slow down the hydration reaction, thereby affecting the strength development of concrete. The calculation formula of the environmental calibration factor based on regression analysis is: , in, It's time Environmental calibration factors; It's in time The actual temperature of the concrete environment or sample surface is obtained through real-time detection by the ambient temperature sensor; It is a reference standard temperature, determined based on expert experience, which can be set as the temperature under standard concrete curing conditions. It serves as a benchmark for ambient temperature and helps correct the effect of actual temperature on concrete strength, such as 20°C. It's in time The actual humidity of the concrete environment or sample surface is obtained through real-time monitoring of the environmental humidity sensor; It is the reference standard humidity, determined based on expert experience, and can be set as the humidity under standard curing conditions, which is the benchmark for ambient humidity, such as 60%; Is the temperature correction coefficient, which indicates the degree of influence of temperature change on the corrected concrete strength. It is determined by experimental method and the reference value range is ; is the humidity correction coefficient, which indicates the degree of influence of humidity change on the corrected concrete strength prediction result. It is determined by experimental method and the reference value range is ; It reflects the ratio of actual temperature to standard temperature. The larger the ratio, the more significant the correction effect of temperature on concrete strength. Correction factor indicating the effect of temperature change on concrete strength; It reflects the ratio of actual humidity to standard humidity, indicating that changes in humidity will affect the predicted results of concrete strength through this ratio; Correction factor indicating the effect of humidity changes on concrete strength; A correction factor that represents the effect of environmental changes on concrete strength.
[0026] After environmental calibration, the final concrete strength is obtained, and the calculation formula is: , in, is the final concrete strength; It is the environmental calibration coefficient, which is an adjustment coefficient that represents the calibration effect of environmental factors (such as temperature and humidity) on concrete strength. It is obtained through experimental methods and the reference value range is For example, a 10°C increase in temperature may result in an environmental calibration factor of Increase by 0.1~0.2; It is the environmental calibration index, which indicates the nonlinear influence of environmental factors (such as temperature and humidity) on concrete strength. It is obtained through regression analysis, and the reference value range is ; It is an exponential term, which emphasizes the nonlinear effect of changes in environmental factors on the ultimate concrete strength; It is a weighted index of the environmental correction factor, indicating the specific impact of environmental changes on the final concrete strength; It represents the regulatory effect of environmental factor correction on the final concrete strength; is the final concrete strength , which is the corrected concrete strength and environmental correction factors The result of the combined effect reflects the concrete strength under actual curing conditions.
[0027] In summary, a concrete strength detection method based on microwave curing was completed.
[0028] The order in which the embodiments of the invention are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0029] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.
[0030] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the scope of protection of the present invention.
Claims
1. A concrete strength detection method based on microwave curing, characterized in that: The following steps are involved: S1. Deploy a microwave sensor array to monitor microwave signals in real time and preprocess them to obtain preprocessed microwave signals; extract features from the preprocessed microwave signals and perform a preliminary prediction of concrete strength using a concrete strength prediction model to obtain a preliminary prediction result of concrete strength; S2. Introduce the hydration dynamics model to correct the primary prediction results of concrete strength to obtain the corrected concrete strength; at the same time, calibrate the corrected concrete strength in combination with the environmental calibration factor to obtain the final concrete strength, and then conduct concrete strength testing.
2. A method for detecting concrete strength based on microwave curing according to claim 1, characterized in that: Said S1 specifically includes: The preprocessed microwave signal is subjected to feature extraction to obtain preliminary features of the preprocessed microwave signal, and the preliminary features of the preprocessed microwave signal are subjected to normalization processing to keep the dimensions of the preliminary features consistent.
3. The method for detecting concrete strength based on microwave curing according to claim 1, characterized in that: Said S1 specifically includes: The concrete strength prediction model includes an input layer, a hidden layer, and an output layer; and the accuracy of the concrete strength prediction model is evaluated by using cross-validation and error evaluation during the training process.
4. The method for detecting concrete strength based on microwave curing according to claim 1, characterized in that: Said S2 specifically includes: The hydration kinetics model is used to describe the changes in the degree of hydration of concrete. Based on the changes in the degree of hydration, the primary prediction results of concrete strength and the correction coefficient of hydration reaction on concrete strength are combined, and a correction factor is introduced to obtain the corrected concrete strength.
5. A method for detecting concrete strength based on microwave curing according to claim 4, characterized in that: Said S2 specifically includes: The accuracy of concrete strength is adjusted through environmental calibration factors, and the corrected concrete strength is calibrated in accordance with the calibration effects of temperature and humidity on concrete strength.
6. A method for detecting concrete strength based on microwave curing according to claim 5, characterized in that: Said S2 specifically includes: In the process of calculating the environmental calibration factor, the temperature correction coefficient is multiplied by the change ratio of the actual temperature relative to the standard temperature to express the correction factor of the impact of temperature change on concrete strength; the humidity correction coefficient is multiplied by the change ratio between the actual humidity and the standard humidity to express the correction factor of the impact of humidity change on concrete strength, and the products of the two parts are added together to obtain the environmental calibration factor.
7. The method for detecting concrete strength based on microwave curing according to claim 5, characterized in that: Said S2 specifically includes: During the environmental calibration process, the environmental calibration coefficient is introduced and combined with the corrected concrete strength to obtain the final concrete strength.
8. A method for detecting concrete strength based on microwave curing according to claim 7, characterized in that: Said S2 specifically includes: The final concrete strength is calculated as: ， in, is the final concrete strength; is the corrected concrete strength; is the environmental calibration factor; It's time Environmental calibration factors; is the environmental calibration index; is an exponential term.