Method and system for testing environmental adaptability of energy-saving building material

Abstract

The invention provides a method and a system for testing environmental adaptability of an energy-saving building material. The method comprises the following steps: extracting sound velocity abnormal characteristics of ultrasonic waves in an energy-saving building material test piece from ultrasonic signals received by the energy-saving building material test piece at different angles; determining a damage hot spot area in the energy-saving building material test piece through the sound velocity abnormal characteristics, and determining the area damage deviation of the internal damage area of the energy-saving building material test piece when the energy-saving building material test piece is close to the failure according to the damage hot spot area and the critical failure duration when the environmental load is applied to the energy-saving building material test piece; determining the influence ratio of each load in the environmental load to the performance of the energy-saving building material test piece, and determining the performance attenuation cost of the energy-saving building material test piece under the environmental load based on all the influence ratios; and determining the durability index of the energy-saving building material test piece according to the area damage deviation and the performance attenuation cost of the internal damage area. By adopting the scheme of the invention, the influence of the damage distribution in the energy-saving building material on the measurement of the environmental adaptability of the energy-saving building material can be reduced.

Description

Technical Field

[0001] The present application relates to the technical field of environmental adaptability testing, and more specifically, to a method and system for testing the environmental adaptability of energy-saving building materials. Background Art

[0002] Environmental adaptability testing is a series of test methods for evaluating whether a product or material can maintain stable performance and normal functions under specific environmental conditions (such as climate, mechanics, chemistry, etc.). Its core goal is to simulate the product or material in real environmental loads to reveal the influence mechanism of environmental factors on the product or material.

[0003] With the continuous improvement of building energy-saving requirements, energy-saving building materials (such as thermal insulation energy-saving building materials, photovoltaic integrated plates, etc.) are increasingly widely used in the construction field. These energy-saving building materials need to withstand the combined action of complex environmental loads (such as temperature changes, humidity fluctuations, solar radiation, etc.) during service. Their internal structures will gradually suffer damage (such as microcrack propagation, fiber debonding, thermal aging, etc.), which will then lead to performance deterioration (such as an increase in thermal conductivity and a decrease in mechanical strength). Traditional environmental adaptability testing methods mostly use single environmental factor simulation (such as only performing high-temperature or humidity tests), or conduct tests by simply superimposing multiple environmental factors, making it difficult to truly reflect the multi-physical field coupling damage mechanism of energy-saving building materials in the actual service environment. In addition, existing testing means mainly rely on destructive sampling detection or macroscopic performance characterization (such as compressive strength testing), and cannot obtain the internal damage distribution and evolution law of energy-saving building materials in real time and accurately (such as the initiation and propagation process of internal microdefects), resulting in the lag and one-sidedness of durability assessment results. Therefore, how to reduce the influence of the internal damage distribution of energy-saving building materials on measuring the environmental adaptability of energy-saving building materials has become a problem faced by the industry. Summary of the Invention

[0004] The present application provides a method and system for testing the environmental adaptability of energy-saving building materials, which can reduce the influence of the internal damage distribution of energy-saving building materials on measuring the environmental adaptability of energy-saving building materials.

[0005] In a first aspect, the present application provides a method for testing the environmental adaptability of energy-saving building materials. Among them, a test chamber with a dynamically coupled environment is pre-constructed, and an energy-saving building material specimen is placed in this test chamber and environmental loads are applied synchronously. The method includes the following steps: Emit ultrasonic waves to the energy-saving building material specimen from different angles, and collect the ultrasonic wave signals received by the energy-saving building material specimen at different angles; Extract the abnormal sound velocity characteristics of the ultrasonic waves inside the energy-saving building material specimen from the ultrasonic wave signals received at different angles; Perform damage inversion on the internal state of the energy-saving building material specimen through the abnormal sound velocity characteristics to obtain the damage hot spot area inside the energy-saving building material specimen, and determine the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the damage hot spot area and the critical failure duration when applying environmental load to the energy-saving building material specimen; Determine the influence proportion of each load in the environmental load on the performance of the energy-saving building material specimen, and determine the performance attenuation cost of the energy-saving building material specimen under the environmental load based on all the influence proportions; Evaluate the durability of the energy-saving building material specimen in the environmental load according to the regional damage deviation of the internal damage area and the performance attenuation cost, and obtain the durability index of the energy-saving building material specimen.

[0006] In some embodiments, extracting the abnormal sound velocity characteristics of the ultrasonic wave inside the energy-saving building material specimen from the ultrasonic wave signals received from different angles specifically includes: Remove noise from the ultrasonic wave signals received from different angles to obtain each ultrasonic wave signal after noise removal; Correlate and fuse each ultrasonic wave signal after noise removal to obtain the ultrasonic fusion signal of the ultrasonic wave inside the energy-saving building material specimen; Determine the abnormal sound velocity characteristics of the ultrasonic wave inside the energy-saving building material specimen according to the ultrasonic fusion signal.

[0007] In some embodiments, performing damage inversion on the internal state of the energy-saving building material specimen through the abnormal sound velocity characteristics to obtain the damage hot spot area inside the energy-saving building material specimen specifically includes: Obtain the spatial structure of the energy-saving building material specimen; Determine the potential damage area of the energy-saving building material specimen according to the abnormal sound velocity characteristics and the spatial structure of the energy-saving building material specimen; Determine the damage hot spot area inside the energy-saving building material specimen through the potential damage area.

[0008] In some embodiments, determining the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the damage hot spot area and the critical failure duration when applying environmental load to the energy-saving building material specimen specifically includes: Obtain the critical failure duration when applying environmental load to the energy-saving building material specimen; Determine the critical size threshold of the damage hot spot area when the energy-saving building material specimen fails according to the damage hot spot area and the critical failure duration; Determine the theoretical damage expansion amount of the energy-saving building material specimen; Determine the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the critical dimension threshold and the theoretical damage extension amount.

[0009] In some embodiments, determining the influence proportion of each load in the environmental load on the performance of the energy-saving building material specimen specifically includes: Obtain the theoretical performance data of the energy-saving building material specimen when not subjected to load; Determine the load performance data of the energy-saving building material specimen under each load in the environmental load; Determine the influence proportion of each load in the environmental load on the performance of the energy-saving building material specimen according to the theoretical performance data and the load performance data.

[0010] In some embodiments, determining the performance attenuation cost of the energy-saving building material specimen under the environmental load based on all the influence proportions specifically includes: Determine the combined influence degree between each load in the environmental load through all the influence proportions; Determine the performance attenuation cost of the energy-saving building material specimen under the environmental load according to all the combined influence degrees.

[0011] In some embodiments, evaluating the durability of the energy-saving building material specimen in the environmental load according to the regional damage deviation of the internal damage area and the performance attenuation cost, and obtaining the durability index of the energy-saving building material specimen specifically includes: Determine the relative deviation value of the energy-saving building material specimen according to the regional damage deviation of the internal damage area; Obtain the natural attenuation rate of the performance in the energy-saving building material specimen; Determine the attenuation deviation of the performance in the energy-saving building material specimen according to the performance attenuation cost and the natural attenuation rate; Determine the durability index of the energy-saving building material specimen based on the relative deviation value and the attenuation deviation.

[0012] In some embodiments, a phased array ultrasonic detection system is used to control the ultrasonic transmitter to emit ultrasonic waves from different angles to the energy-saving building material specimen.

[0013] In some embodiments, the environmental load includes temperature load, wetland load, and solar full-spectrum irradiation.

[0014] In a second aspect, the present application provides an energy-saving building material environmental adaptability test system, wherein a test chamber with a dynamically coupled environment is pre-constructed, and the energy-saving building material specimen is placed in the test chamber and the environmental load is applied synchronously. The system includes: An acquisition module, configured to emit ultrasonic waves from different angles to the energy-saving building material specimen and acquire the ultrasonic wave signals received by the energy-saving building material specimen at different angles; A processing module, configured to extract the abnormal sound velocity characteristics of the ultrasonic wave inside the energy-saving building material specimen from the ultrasonic signals received from different angles; The processing module is further configured to perform damage inversion on the internal state of the energy-saving building material specimen through the abnormal sound velocity characteristics to obtain the damage hot spot area inside the energy-saving building material specimen, and determine the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the damage hot spot area and the critical failure duration when applying environmental load to the energy-saving building material specimen; The processing module is further configured to determine the influence proportion of each load in the environmental load on the performance of the energy-saving building material specimen, and determine the performance attenuation cost of the energy-saving building material specimen under the environmental load based on all the influence proportions; An execution module, configured to evaluate the durability of the energy-saving building material specimen in the environmental load according to the regional damage deviation of the internal damage area and the performance attenuation cost, and obtain the durability index of the energy-saving building material specimen.

[0015] The technical solution provided by the disclosed embodiments of the present application has the following beneficial effects: In the energy-saving building material environmental adaptability test method and system provided by the present application, first, ultrasonic waves are emitted to the energy-saving building material specimen from different angles, and the ultrasonic signals received by the energy-saving building material specimen from different angles are collected; the abnormal sound velocity characteristics of the ultrasonic wave inside the energy-saving building material specimen are extracted from the ultrasonic signals received from different angles; damage inversion is performed on the internal state of the energy-saving building material specimen through the abnormal sound velocity characteristics to obtain the damage hot spot area inside the energy-saving building material specimen, and the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure is determined according to the damage hot spot area and the critical failure duration when applying environmental load to the energy-saving building material specimen; the influence proportion of each load in the environmental load on the performance of the energy-saving building material specimen is determined, and the performance attenuation cost of the energy-saving building material specimen under the environmental load is determined based on all the influence proportions; the durability of the energy-saving building material specimen in the environmental load is evaluated according to the regional damage deviation of the internal damage area and the performance attenuation cost, and the durability index of the energy-saving building material specimen is obtained.

[0016] It can be seen that in the process of testing the environmental adaptability of energy-saving building materials in this application, by extracting the abnormal sound velocity characteristics of ultrasonic waves inside the energy-saving building material specimens from the ultrasonic signals received from different angles, the abnormal sound velocity characteristics can sensitively capture the subtle structural changes and defect information inside the energy-saving building material specimens, facilitating the accurate judgment of the internal state of the specimens; by using the abnormal sound velocity characteristics to perform damage inversion on the internal state of the energy-saving building material specimens, the damage hot spots inside the energy-saving building material specimens are obtained. The damage hot spots represent the key parts with serious damage and weak performance inside the energy-saving building material specimens, facilitating the understanding of the damage distribution law of the energy-saving building material specimens; combining the damage hot spots and the critical failure duration can dynamically evaluate the development trend and difference degree of the internal damage of the energy-saving building material specimens under environmental loads, that is, determine the regional damage deviation of the internal damage area of the energy-saving building material specimens when approaching failure, so as to more accurately grasp the damage state of the specimens when approaching failure, providing an important reference index closer to the actual working conditions for predicting the specimen life and formulating reasonable maintenance and replacement strategies; determining the influence proportion of each load in the environmental load, facilitating the in-depth analysis of the action mechanism and contribution degree of different environmental factors on the performance of the energy-saving building material specimens, and calculating the performance degradation cost by combining the influence proportion, facilitating the balance between cost and performance in engineering practice, and providing an important decision-making basis for reasonably selecting building materials, optimizing the design scheme, and controlling project costs; constructing a durability index by combining the regional damage deviation and the performance degradation cost. Since this durability index can comprehensively reflect the internal damage development and performance degradation degree of the specimens under environmental loads, therefore, a multi-dimensional and comprehensive evaluation of the durability of the energy-saving building material specimens can be achieved. By adopting the above scheme, the influence of the internal damage distribution of the energy-saving building materials on measuring the environmental adaptability of the energy-saving building materials can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flowchart of a method for testing the environmental adaptability of energy-saving building materials according to some embodiments of the present application; Figure 2 is a schematic diagram of ultrasonic detection according to some embodiments of the present application; Figure 3 is an exemplary flowchart of determining the damage hot spots according to some embodiments of the present application; Figure 4 is a schematic structural diagram of a system for testing the environmental adaptability of energy-saving building materials according to some embodiments of the present application; Figure 5 is a schematic structural diagram of a computer device for implementing the method for testing the environmental adaptability of energy-saving building materials according to some embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] To better understand the technical solution of this application, the technical solution of this application will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0019] Referring to Figure 1 , this figure is an exemplary flowchart of a method for testing the environmental adaptability of energy-saving building materials shown in some embodiments of this application. The method for testing the environmental adaptability of energy-saving building materials mainly includes the following steps: In step 101, ultrasonic waves are emitted towards the energy-saving building material specimen from different angles, and the ultrasonic wave signals received by the energy-saving building material specimen at different angles are collected.

[0020] Specifically, the energy-saving building material specimen is fixed on a three-dimensional positioning platform (such as a tooling with an angle rotating table) in the test chamber, and the phased array ultrasonic testing equipment is integrated in this test chamber. The phased array ultrasonic testing equipment is used to control the ultrasonic wave transmitting end to emit ultrasonic waves towards the energy-saving building material specimen from different angles. Different angles can preset an angular interval (such as 0°, 15°, 30°... 180°) to perform multi-angle excitation on the energy-saving building material specimen. Each time an ultrasonic wave is emitted, the ultrasonic wave receiving end is synchronously triggered to collect the ultrasonic wave signals received by the energy-saving building material specimen at different angles. Among them, the phased array ultrasonic testing equipment includes ultrasonic probes, and the ultrasonic probes include an ultrasonic wave transmitting end and an ultrasonic wave receiving end.

[0021] It should be noted that the ultrasonic wave signals in this application represent the ultrasonic wave signals received after the ultrasonic waves pass through the energy-saving building material specimen, which can be used to analyze the internal condition of the energy-saving building material specimen, and record the duration and spacing of the ultrasonic waves from each transmitting end to the corresponding receiving end.

[0022] In some embodiments, referring to Figure 2 shown, this figure is a schematic diagram of ultrasonic testing in some embodiments of this application. As Figure 2 shown, ultrasonic waves are emitted towards the energy-saving building material specimen from different angles through ultrasonic probes, and the ultrasonic wave signals received by the energy-saving building material specimen at different angles are collected.

[0023] In step 102, the abnormal sound velocity characteristics of the ultrasonic waves inside the energy-saving building material specimen are extracted from the ultrasonic wave signals received from different angles.

[0024] In some embodiments, the extraction of the abnormal sound velocity characteristics of the ultrasonic waves inside the energy-saving building material specimen from the ultrasonic wave signals received from different angles can be achieved by the following steps: Remove the noise from the ultrasonic wave signals received from different angles to obtain each ultrasonic wave signal after noise removal; Correlate and fuse each ultrasonic wave signal after noise removal to obtain the ultrasonic fusion signal of the ultrasonic waves inside the energy-saving building material specimen; Determine the abnormal acoustic velocity characteristics of the ultrasonic waves inside the energy-saving building material specimen based on the ultrasonic fusion signal.

[0025] It should be noted that ultrasonic waves propagate at a constant speed in a homogeneous medium, while damage inside the energy-saving building material specimen (such as cracks, holes, fiber debonding) will change the continuity and elastic properties of the medium, resulting in abnormal acoustic velocity when ultrasonic waves pass through. Therefore, the abnormal acoustic velocity condition (i.e., abnormal acoustic velocity characteristics) of the ultrasonic waves inside the energy-saving building material specimen can be extracted from the ultrasonic signals received from different angles.

[0026] In specific implementation, noise removal is performed on the ultrasonic signals received from different angles to obtain the ultrasonic signals after noise removal, which can be achieved in the following way: for the ultrasonic signals received from different angles, the wavelet threshold denoising algorithm is used to perform multi-scale decomposition on the ultrasonic signals, and the soft threshold function is used to perform a shrinking operation on the sub-band coefficients where the high-frequency noise is located in all the signal components obtained from the multi-scale decomposition. Then, the inverse discrete wavelet transform is used to reconstruct all the signal components obtained after the shrinking operation, and the reconstructed signal is used as the ultrasonic signal after noise removal, so as to obtain the ultrasonic signals after noise removal from different angles. The above denoising reduces the interference of noise on feature extraction and damage inversion, and enhances the reliability and effectiveness of the detection results; in other embodiments, other denoising methods can also be used, which are not limited here.

[0027] In addition, in specific implementation, the ultrasonic signals after noise removal are associated and fused to obtain the ultrasonic fusion signal of the ultrasonic waves inside the energy-saving building material specimen, which can be achieved in the following way: in the signal association and fusion stage, the generalized cross-correlation algorithm is used to calculate the time delay between the ultrasonic signals after noise removal, the spatial positions of all ultrasonic probes are obtained from the corresponding database of the test chamber, and the algebraic reconstruction technique is used to iteratively solve the ultrasonic signals inside the energy-saving building material specimen by combining all the ultrasonic signals, all the time delays and all the spatial positions, and the signal obtained from the iterative solution is used as the ultrasonic fusion signal of the acoustic velocity distribution inside the energy-saving building material specimen. Among them, the ultrasonic fusion signal represents the signal fused after the ultrasonic waves pass through the inside of the energy-saving building material specimen from different angles, and can be used to analyze the overall state of the energy-saving building material specimen; in other embodiments, other association and fusion methods can also be used, which are not limited here.

[0028] Finally, in specific implementation, the abnormal sound velocity characteristics of the ultrasonic wave inside the energy-saving building material specimen can be determined according to the ultrasonic fusion signal by the following method: obtain the theoretical uniform sound velocity from the corresponding database of the energy-saving building material specimen, where the theoretical uniform sound velocity represents the sound velocity when the ultrasonic wave passes through a normal energy-saving building material, calculate the measured sound velocity from each transmitting end to the corresponding receiving end when the ultrasonic wave passes through the energy-saving building material specimen based on the ultrasonic fusion signal in combination with the duration and distance from each transmitting end to the corresponding receiving end, calculate the deviation value between each measured sound velocity and the theoretical uniform sound velocity, then use the local outlier factor algorithm to identify the significantly deviated deviation values among all the deviation values, and take all the identified deviation values as the abnormal sound velocity characteristics of the ultrasonic wave inside the energy-saving building material specimen; in other embodiments, other methods can also be used to determine it, which is not limited here.

[0029] It should be noted that the abnormal sound velocity characteristics in this application represent the characteristics of the abnormal sound velocity of the ultrasonic wave inside the energy-saving building material specimen, that is, the deviation characteristics between the sound velocity and the normal sound velocity, which can be used to analyze the internal state of the energy-saving building material specimen.

[0030] In step 103, perform damage inversion on the internal state of the energy-saving building material specimen through the abnormal sound velocity characteristics to obtain the damage hot spot area inside the energy-saving building material specimen, and determine the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the damage hot spot area and the critical failure duration when applying environmental load to the energy-saving building material specimen.

[0031] In some embodiments, refer to Figure 3 As shown in the figure, which is an exemplary flowchart for determining the damage hot spot area in some embodiments of this application. In this embodiment, performing damage inversion on the internal state of the energy-saving building material specimen through the abnormal sound velocity characteristics to obtain the damage hot spot area inside the energy-saving building material specimen can be implemented by the following steps: First, in step 1031, obtain the spatial structure of the energy-saving building material specimen. Secondly, in step 1032, determine the potential damage area of the energy-saving building material specimen according to the abnormal sound velocity characteristics and the spatial structure of the energy-saving building material specimen. Finally, in step 1033, determine the damage hot spot area inside the energy-saving building material specimen through the potential damage area.

[0032] It should be noted that the internal damage of energy-saving building materials will lead to discontinuous local acoustic impedance, causing ultrasonic waves to scatter, attenuate, or change the propagation path, directly manifested as a decrease in sound velocity or abnormal distribution. For example, the higher the crack density, the greater the decrease in sound velocity, and the larger the damage size, the wider the range of the area with abnormal sound velocity. Therefore, the internal state of the energy-saving building material specimen can be inversely damaged through the abnormal sound velocity characteristics to obtain the internal damage hot spot area of the energy-saving building material specimen.

[0033] In specific implementation, first, use three-dimensional laser scanning technology to scan the energy-saving building material specimen and obtain the spatial structure of the energy-saving building material specimen. The spatial structure includes the geometric dimensions, internal structure, and energy-saving building material distribution information of the energy-saving building material specimen. Secondly, perform spatial mapping on the abnormal sound velocity characteristics and the spatial structure to obtain the areas corresponding to each deviation value in the abnormal sound velocity characteristics, and use all the areas as the potential damage areas of the energy-saving building material specimen. Among them, the potential damage area represents the potential damage area in the energy-saving building material specimen. Finally, apply the density clustering algorithm (such as hierarchical density clustering) to the potential damage area, and screen out the part with a high degree of damage point aggregation and a density significantly higher than the surrounding area by setting appropriate neighborhood radius and minimum sample number, and use this part as the internal damage hot spot area of the energy-saving building material specimen; in other embodiments, other methods can also be used to determine, which is not limited here.

[0034] It should be noted that the damage hot spot area in this application represents the hot spot area with internal damage in the energy-saving building material specimen, which can be used to analyze the internal state of the energy-saving building material specimen.

[0035] In some embodiments, determining the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the damage hot spot area and the critical failure duration when applying environmental load to the energy-saving building material specimen can be achieved by the following steps: Obtain the critical failure duration when applying environmental load to the energy-saving building material specimen; Determine the critical size threshold of the damage hot spot area when the energy-saving building material specimen fails according to the damage hot spot area and the critical failure duration; Determine the theoretical damage expansion amount of the energy-saving building material specimen; Determine the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the critical size threshold and the theoretical damage expansion amount.

[0036] It should be noted that under the action of environmental loads, the internal damage hot spot area of energy-saving building material specimens will gradually expand with time. The expansion of the damage hot spot area will cause the geometric parameters of the internal damage area to reach a critical value. And there is a theoretical expansion amount of the internal damage of energy-saving building material specimens under the action of environmental loads. Therefore, the difference between the critical value and the expansion amount is used as the regional damage deviation of the internal damage area of energy-saving building material specimens when approaching failure.

[0037] Among them, the critical failure duration when the energy-saving building material specimen is subjected to environmental loads is obtained from the corresponding detection database of the energy-saving building material specimen. Wherein, the critical failure duration represents the shortest time threshold when the energy-saving building material specimen loses its basic use function under environmental loads; In specific implementation, the critical size threshold of the damage hot spot area when the energy-saving building material specimen fails can be determined according to the damage hot spot area and the critical failure duration in the following way, that is: obtain the current loading duration of the environmental load on the energy-saving building material specimen from the timer in the test chamber. Wherein, the current loading duration represents the duration from the initial loading to the current of the energy-saving building material specimen. Combine the damage hot spot area and the current loading duration to calculate the damage rate of the damage hot spot area. For example: damage rate = damage hot spot area / current loading duration. Then calculate the final area of the damage hot spot area when approaching failure through the damage rate and the critical failure duration, and take the volume of this final area as the critical size threshold of the damage hot spot area when the energy-saving building material specimen fails. For example: final area = damage rate * critical failure duration. Wherein, the critical size threshold represents the threshold of the maximum volume size of the damage hot spot area when the energy-saving building material specimen fails; In other embodiments, other methods can also be used to determine, which are not limited here.

[0038] Among them, the theoretical damage expansion amount of the energy-saving building material specimen can be determined in the following way, that is: use the continuous damage mechanics model combined with the applied environmental load to simulate the damage evolution under the environmental load to calculate the theoretical damage expansion amount of the energy-saving building material specimen. The theoretical damage expansion amount threshold represents the parameter value of the expansion degree of the damage area of the energy-saving building material specimen in theoretical simulation; In other embodiments, other methods can be used to determine, which are not limited here.

[0039] In specific implementation, to determine the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the critical dimension threshold and the theoretical damage extension amount, the following method can be adopted, that is: using the Bayesian inference framework to compare the critical dimension threshold with the theoretical damage extension amount to determine the uncertainty coefficient of the performance of the energy-saving building material specimen between the actual and the theoretical. Among them, the uncertainty coefficient is a parameter representing the degree of uncertainty of the performance of the energy-saving building material specimen between the actual and the theoretical, and the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure is calculated by combining the critical dimension threshold, the theoretical damage extension amount and the uncertainty coefficient. For example: the regional damage deviation of the internal damage area = (critical dimension threshold - theoretical damage extension amount) * uncertainty coefficient; in other embodiments, other methods can also be used to determine, which are not limited here.

[0040] It should be noted that the regional damage deviation in this application represents the deviation between the internal damage area and the theoretical damage area of the energy-saving building material specimen when approaching failure, and can be used to analyze the environmental load adaptability of the energy-saving building material specimen.

[0041] In step 104, determine the proportion of the influence of each load in the environmental load on the performance of the energy-saving building material specimen, and determine the performance attenuation cost of the energy-saving building material specimen under the environmental load based on all the influence proportions.

[0042] In some embodiments, the following steps can be adopted to determine the proportion of the influence of each load in the environmental load on the performance of the energy-saving building material specimen: Obtain the theoretical performance data of the energy-saving building material specimen when not subjected to load; Determine the load performance data of the energy-saving building material specimen under each load in the environmental load; Determine the proportion of the influence of each load in the environmental load on the performance of the energy-saving building material specimen according to the theoretical performance data and the load performance data.

[0043] In specific implementation, first, obtain the theoretical performance data of the energy-saving building material specimen when it is not under load from the energy-saving building material design parameter database of the energy-saving building material specimen. The theoretical performance data represents the performance data of the energy-saving building material specimen when it is not under load, and the theoretical performance data includes indicators such as the sound velocity, compressive strength, and thermal conductivity when ultrasonic waves pass through the energy-saving building material specimen. Secondly, use an environmental simulation test chamber to apply single environmental loads (such as temperature cycling, humidity change, and full-spectrum solar irradiation) to the energy-saving building material specimen respectively. Through ultrasonic testing equipment, electronic universal testing machine, and thermal conductivity tester, monitor and record the performance data of the energy-saving building material specimen under each load in real time, and use the recorded performance data as the load performance data of the energy-saving building material specimen under the corresponding load. Among them, the load performance data represents the performance data of the energy-saving building material specimen after the load is applied. Finally, use the grey relational analysis algorithm to calculate the correlation degree of performance indicators under different loads by combining each load performance data with the theoretical performance data. The larger the correlation degree value, the more significant the influence of the load on the specimen performance. And use linear normalization to normalize all the correlation degrees, and use the values obtained from the normalization process as the influence proportion of the corresponding environmental load on the performance of the energy-saving building material specimen. In other embodiments, other methods can also be used to determine, which are not limited here.

[0044] It should be noted that the influence proportion in this application represents the proportion of the influence degree of the environmental load on the performance of the energy-saving building material specimen, and can be used to analyze the influence of the environmental load on the performance of the energy-saving building material specimen.

[0045] In some embodiments, determining the performance degradation cost of the energy-saving building material specimen under the environmental load based on all the influence proportions can be achieved by the following steps: Determine the combined influence degree between each load in the environmental load through all the influence proportions; Determine the performance degradation cost of the energy-saving building material specimen under the environmental load according to all the combined influence degrees.

[0046] In specific implementation, determining the combined influence degree between each load in the environmental load through all the influence proportions can be achieved by the following method, that is: obtain the performance data under different load combinations through designing multi-factor experiments, construct a quadratic polynomial model to fit the influence degree of each load main effect and interaction term (such as temperature × humidity, humidity × solar irradiation) on the performance by combining all the influence proportions and this performance data, so as to obtain the combined influence degree between each load in the environmental load. Among them, the combined influence degree represents the parameter value of the influence degree when two loads act on the energy-saving building material specimen together, and can be used to identify the synergistic effect on the energy-saving building material time (such as the performance degradation accelerating when temperature and humidity act together). In other embodiments, other methods can be used to determine, which are not limited here.

[0047] In addition, in specific implementation, determining the performance degradation cost of the energy-saving building material specimen under environmental loads according to all the combined influence degrees can be achieved by the following method, that is: taking the intensity values of each load (such as temperature change range, humidity change range) and their combined influence degrees as input variables, and the change amount of performance parameters (such as sound velocity decrease value, strength loss amount) as output variables, fitting the regression coefficient between the input variables and the output variables by the least square method. This regression coefficient reflects the performance degradation rate under the change of unit load intensity, and taking this regression coefficient as the performance degradation cost of the energy-saving building material specimen under environmental loads; in other embodiments, other methods can be used to determine it, which is not limited here.

[0048] It should be noted that the performance degradation cost in this application represents the rate at which the performance parameters (such as strength, stiffness, durability, thermal performance) of the energy-saving building material specimen deteriorate over time or with the accumulation of load effects under environmental loads, and can be used to analyze the adaptability of the energy-saving building material specimen to environmental loads.

[0049] In step 105, evaluate the durability of the energy-saving building material specimen in environmental loads according to the regional damage deviation of the internal damage area and the performance degradation cost, and obtain the durability index of the energy-saving building material specimen.

[0050] In some embodiments, evaluating the durability of the energy-saving building material specimen in environmental loads according to the regional damage deviation of the internal damage area and the performance degradation cost, and obtaining the durability index of the energy-saving building material specimen can be achieved by the following steps: Determine the relative deviation value of the energy-saving building material specimen according to the regional damage deviation of the internal damage area; Obtain the natural attenuation rate of the performance in the energy-saving building material specimen; Determine the attenuation deviation of the performance in the energy-saving building material specimen according to the performance degradation cost and the natural attenuation rate; Determine the durability index of the energy-saving building material specimen based on the relative deviation value and the attenuation deviation.

[0051] It should be noted that the regional damage deviation of the internal damage area reflects the degree of deterioration of the energy-saving building material specimen in the micro / macro structure, which is the physical basis for the decrease in durability, while the performance degradation cost reflects the rate of deterioration of the energy-saving building material specimen, which is a necessary condition for analyzing the decrease in durability. Therefore, the durability of the energy-saving building material specimen in environmental loads can be evaluated according to the regional damage deviation of the internal damage area and the performance degradation cost to obtain the durability index of the energy-saving building material specimen.

[0052] In specific implementation, first, obtain a pre-set standard deviation threshold, where the standard deviation threshold represents the maximum allowable value of the deviation between the actual damage area and the theoretical damage area inside the energy-saving building material specimen. Take the difference between the regional damage deviation of the internal damage area and the pre-set standard deviation threshold as the relative deviation value of the energy-saving building material specimen. Here, the relative deviation value represents the degree of deviation of the internal damage applied to the energy-saving building material from the normal state, and then perform normalization processing on the relative deviation value to obtain a dimensionless relative deviation value. Next, through regression analysis combined with historical monitoring data (such as environmental loads and performance data), obtain the natural attenuation rate of the performance of the energy-saving building material specimen under normal use environments. This natural attenuation rate reflects the slow deterioration trend of the performance of the energy-saving building material over time without significant abnormal damage. Then, take the difference between the performance attenuation cost and the natural attenuation rate as the attenuation deviation of the performance in the energy-saving building material specimen. The attenuation deviation represents the difference between the actual attenuation and the expected natural attenuation. Finally, use the analytic hierarchy process to determine the weights of the relative deviation value and the attenuation deviation, and perform weighted summation on the relative deviation value and the attenuation deviation by combining the corresponding weights through weighted summation, and take the value obtained by weighted summation as the durability index of the energy-saving building material specimen. In other embodiments, other methods can also be used to determine it, which is not limited here.

[0053] It should be noted that the durability index in this application reflects the durability index of the degree of abnormal damage and the degree of deviation of performance attenuation from the expected value, thereby providing a quantitative basis for evaluating the durability of energy-saving building materials under environmental loads.

[0054] In addition, on the other hand of this application, in some embodiments, this application provides an energy-saving building material environmental adaptability test system. Refer to Figure 4 , which is a schematic structural diagram of the energy-saving building material environmental adaptability test system shown according to some embodiments of this application. The energy-saving building material environmental adaptability test system 400 includes: a collection module 401, a processing module 402, and an execution module 403, which are described as follows: Collection module 401. In this application, the collection module 401 is mainly used to emit ultrasonic waves to the energy-saving building material specimen from different angles and collect the ultrasonic wave signals received by the energy-saving building material specimen at different angles. Processing module 402. In this application, the processing module 402 is used to extract the abnormal sound velocity characteristics of the ultrasonic waves inside the energy-saving building material specimen from the ultrasonic wave signals received from different angles. It should be noted that in this application, the processing module 402 is also used to perform damage inversion on the internal state of the energy-saving building material specimen through the abnormal sound velocity characteristics to obtain the damage hot spot area inside the energy-saving building material specimen, and determine the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the damage hot spot area and the critical failure duration when applying environmental loads to the energy-saving building material specimen. In addition, it should be noted that the processing module 402 in this application is further configured to determine the proportion of the influence of each load in the environmental load on the performance of the energy-saving building material specimen, and determine the performance decay cost of the energy-saving building material specimen under the environmental load based on all the influence proportions; The execution module 403. In this application, the execution module 403 is mainly configured to evaluate the durability of the energy-saving building material specimen in the environmental load according to the regional damage deviation of the internal damage area and the performance decay cost, and obtain the durability index of the energy-saving building material specimen.

[0055] In addition, this application also provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the above-mentioned energy-saving building material environmental adaptability test method.

[0056] In some embodiments, refer to Figure 5 , this figure is a schematic structural diagram of a computer device for implementing the energy-saving building material environmental adaptability test method according to some embodiments of this application. The energy-saving building material environmental adaptability test method in the above embodiments can be implemented by Figure 5 the computer device shown. The computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.

[0057] The processor 501 can be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0058] The communication bus 502 can be used to transmit information between the above components.

[0059] The memory 503 can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or can also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 503 can exist independently and be connected to the processor 501 through the communication bus 502. The memory 503 can also be integrated with the processor 501.

[0060] Among them, the memory 503 is used to store the program code for executing the solution of this application and is controlled by the processor 501 to execute. The processor 501 is used to execute the program code stored in the memory 503. The program code can include one or more software modules. The methods used in the above embodiments can be implemented by one or more software modules in the program code in the processor 501 and the memory 503.

[0061] The communication interface 504 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0062] In a specific implementation, as an embodiment, the computer device can include multiple processors, and each of these processors can be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. Here, the processor can refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0063] The computer device described above can be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device can be a desktop computer, a laptop computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of the present application do not limit the type of the computer device.

[0064] In addition, the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the energy-saving building material environment adaptability test method described above is implemented.

[0065] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0066] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

1. A method for testing the environmental adaptability of energy-saving building materials, wherein, Pre - construct a test chamber with a dynamically coupled environment, place the energy - saving building material specimen in this test chamber and synchronously apply environmental loads. It is characterized in that the method includes the following steps: Emit ultrasonic waves to the energy - saving building material specimen from different angles and collect the ultrasonic signals received by the energy - saving building material specimen at different angles; Extract the abnormal sound - velocity characteristics of the ultrasonic waves inside the energy - saving building material specimen from the ultrasonic signals received at different angles; Perform damage inversion on the internal state of the energy - saving building material specimen through the abnormal sound - velocity characteristics to obtain the damaged hot - spot area inside the energy - saving building material specimen, and determine the regional damage deviation of the internal damage area of the energy - saving building material specimen when approaching failure according to the damaged hot - spot area and the critical failure duration when applying environmental loads to the energy - saving building material specimen; Determine the proportion of the influence of each load in the environmental load on the performance of the energy - saving building material specimen, and determine the performance attenuation cost of the energy - saving building material specimen under the environmental load based on all the influence proportions; Evaluate the durability of the energy - saving building material specimen under the environmental load according to the regional damage deviation of the internal damage area and the performance attenuation cost, and obtain the durability index of the energy - saving building material specimen.

2. The method according to claim 1, wherein Extracting the abnormal sound - velocity characteristics of the ultrasonic waves inside the energy - saving building material specimen from the ultrasonic signals received at different angles specifically includes: Remove the noise from the ultrasonic signals received at different angles to obtain each ultrasonic signal after noise removal; Correlate and fuse each ultrasonic signal after noise removal to obtain the ultrasonic fusion signal of the ultrasonic waves inside the energy - saving building material specimen; Determine the abnormal sound - velocity characteristics of the ultrasonic waves inside the energy - saving building material specimen according to the ultrasonic fusion signal.

3. The method according to claim 1, characterized in that, Performing damage inversion on the internal state of the energy - saving building material specimen through the abnormal sound - velocity characteristics to obtain the damaged hot - spot area inside the energy - saving building material specimen specifically includes: Obtain the spatial structure of the energy - saving building material specimen; Determine the potential damage area of the energy - saving building material specimen according to the abnormal sound - velocity characteristics and the spatial structure of the energy - saving building material specimen; Determine the damaged hot - spot area inside the energy - saving building material specimen through the potential damage area.

4. The method according to claim 1, wherein Determining the regional damage deviation of the internal damage area of the energy - saving building material specimen when approaching failure according to the damaged hot - spot area and the critical failure duration when applying environmental loads to the energy - saving building material specimen specifically includes: Obtain the critical failure duration when applying environmental loads to the energy - saving building material specimen; Determine the critical size threshold of the damaged hot - spot area when the energy - saving building material specimen fails according to the damaged hot - spot area and the critical failure duration; Determine the theoretical damage expansion amount of the energy - saving building material specimen; Determine the regional damage deviation of the internal damage area of the energy - saving building material specimen when approaching failure according to the critical size threshold and the theoretical damage expansion amount.

5. The method according to claim 1, characterized in that, Determining the proportion of the influence of each load in the environmental load on the performance of the energy - saving building material specimen specifically includes: Obtain the theoretical performance data of the energy - saving building material specimen when not under load; Determine the load performance data of the energy-saving building material specimen under each load in the environmental load; Determine the proportion of the influence of each load in the environmental load on the performance of the energy-saving building material specimen according to the theoretical performance data and the load performance data.

6. The method according to claim 1, wherein Based on all the influence proportions, determining the performance attenuation cost of the energy-saving building material specimen under the environmental load specifically includes: Determine the combined influence degree between each load in the environmental load through all the influence proportions; Determine the performance attenuation cost of the energy-saving building material specimen under the environmental load according to all the combined influence degrees.

7. The method according to claim 1, characterized in that Evaluate the durability of the energy-saving building material specimen in the environmental load according to the regional damage deviation of the internal damage area and the performance attenuation cost, and obtain the durability index of the energy-saving building material specimen, specifically including: Determine the relative deviation value of the energy-saving building material specimen according to the regional damage deviation of the internal damage area; Obtain the natural attenuation rate of the performance in the energy-saving building material specimen; Determine the attenuation deviation of the performance in the energy-saving building material specimen according to the performance attenuation cost and the natural attenuation rate; Determine the durability index of the energy-saving building material specimen based on the relative deviation value and the attenuation deviation.

8. The method according to claim 1, wherein Use a phased array ultrasonic detection system to control the ultrasonic transmitter to emit ultrasonic waves from different angles to the energy-saving building material specimen.

9. The method according to claim 1, characterized in that The environmental load includes temperature load, wetland load, and solar full-spectrum irradiation.

10. An environmental adaptability test system for energy-saving building materials, wherein, Pre-construct a test chamber for a dynamic coupled environment, place the energy-saving building material specimen in this test chamber and apply the environmental load synchronously. It is characterized in that the system includes: An acquisition module, configured to emit ultrasonic waves from different angles to the energy-saving building material specimen and acquire the ultrasonic wave signals received by the energy-saving building material specimen at different angles; A processing module, configured to extract the abnormal sound velocity characteristics of the ultrasonic waves inside the energy-saving building material specimen from the ultrasonic wave signals received from different angles; The processing module is further configured to perform damage inversion on the internal state of the energy-saving building material specimen through the abnormal sound velocity characteristics to obtain the damage hot spot area inside the energy-saving building material specimen, and determine the regional damage deviation of the internal damage area of the energy-saving building material specimen when approaching failure according to the damage hot spot area and the critical failure duration when applying the environmental load to the energy-saving building material specimen; The processing module is further configured to determine the proportion of the influence of each load in the environmental load on the performance of the energy-saving building material specimen, and determine the performance attenuation cost of the energy-saving building material specimen under the environmental load based on all the influence proportions; An execution module, configured to evaluate the durability of the energy-saving building material specimen in the environmental load according to the regional damage deviation of the internal damage area and the performance attenuation cost, and obtain the durability index of the energy-saving building material specimen.

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