Compressive strength evaluation method and device
A compressive strength and evaluation model technology, applied in the field of compressive strength evaluation methods and devices, can solve problems such as poor reliability and low accuracy of compressive strength evaluation results.
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Embodiment 1
[0070] figure 1 The overall schematic flow diagram of the compressive strength evaluation method provided by Embodiment 1 of the present invention, such as figure 1 As shown, the compressive strength evaluation method includes the following steps:
[0071] Step S100, obtaining the compressive strength data of multiple sprayed fiber cement-based sample materials (hereinafter referred to as sample materials), wherein each sample material has a different sand rate value, and the compressive strength data of each sample material includes multiple Different compressive strength values.
[0072] Select several samples of sprayed fiber cement-based materials, each sample material has a different sand rate value, and each sample material includes a sample material with a sand rate value of 0, where the sand rate value is 100% of the sand in the sprayed fiber cement-based material The ratio of the mass to the mass of the cementitious material. Since the greater the number of sample ...
Embodiment 2
[0124] Figure 5 A schematic diagram of the module composition of the compressive strength evaluation device provided in Embodiment 2 of the present invention, such as Figure 5 As shown, the compressive strength evaluation device includes:
[0125] The data acquisition module 10 is used to acquire the compressive strength data of multiple sprayed fiber cement-based sample materials, wherein each sample material has a different sand rate value, and the compressive strength data of each sample material includes a plurality of different compressive strength data. compressive strength value;
[0126] The parameter determination module 20 is used to determine the guarantee rate corresponding to each compressive strength value of each sample material, and determine the Weibull corresponding to each sample material according to each compressive strength value of each sample material and its corresponding guarantee rate. distribution parameters;
[0127] The model building module ...
Embodiment 3
[0151] Image 6 A schematic structural diagram of the evaluation server provided for Embodiment 3 of the present invention, such as Image 6 As shown, the evaluation server 100 includes: a processor 50, a memory 51, a bus 52 and a communication interface 53, and the processor 50, the communication interface 53 and the memory 51 are connected through the bus 52; the processor 50 is used to execute the data stored in the memory 51 Executable modules, such as computer programs.
[0152] Wherein, the memory 51 may include a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 53 (which may be wired or wireless), and the Internet, wide area network, local network, metropolitan area network, etc. can be used.
[0153]...
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