Performance optimization design system and method for anti-explosion and anti-collision protection structure

Abstract

The invention relates to the technical field of protection structures, in particular to an anti-explosion and anti-collision protection structure performance optimization design system and method.The system comprises a protection performance measurement parameter determining module used for determining performance parameters for measuring the protection performance of a protection structure; the characteristic parameter determination module is used for determining characteristic parameters influencing the protection performance of the protection structure according to the performance parameters; the characteristic parameter simulation module is used for determining the maximum value of the performance parameter of each characteristic parameter under different level combinations; the optimization characteristic parameter determination module is used for determining the influence level of each characteristic parameter on the performance parameter and determining the characteristic parameter needing to be optimized according to the influence level; and the structure optimization module is used for determining a fitting formula according to the number of the feature parameters needing to be optimized, and determining the optimal values of the feature parameters needing to be optimized according to the fitting formula. By applying the system, in the practical application process, the protection performance of the protection structure can be quickly optimized, and the system has the advantage of saving cost.

Description

Technical Field

[0001] The present invention relates to the technical field of protective structures, and in particular to a system and method for optimizing the design of performance of explosion-proof and anti-collision protective structures. Background Art

[0002] At present, people and equipment working in special fields such as industry and civil use in environments with explosion, impact and collision risks usually have a high potential risk of being hit. If effective measures are not taken for such risks, irreparable personal injury and property losses will be caused. At present, for the protection of such risks, it is often necessary to adopt explosion-resistant and impact-resistant protective structures to reduce the degree of damage to people or important equipment caused by explosions and collisions.

[0003] However, since the working loads involved in the actual application process are usually more complicated, and the current optimization design methods for protective structures are not perfect enough, when designing protective structures under different working conditions, they are often based on existing structures and adopt the principle of downward adaptation, which will undoubtedly increase the cost of the protective structure, resulting in a certain amount of cost waste. Specifically, in the application conditions where large explosions or collisions may occur, the existing technology often adopts the method of thickening and enlarging the overall size of the protective structure to improve the explosion and impact resistance of the protective structure, but it is difficult to grasp the main characteristic indicators that affect the protective performance of the protective structure, and thus it is difficult to achieve refined structural design optimization to reduce costs.

[0004] Furthermore, patent application CN218537919U discloses an impact-resistant chemical raw material storage tank for chemical engineering. By adopting a double-layer structure wrapped around the outer wall of the tank body, and being a detachable structure, the storage tank can be installed later. The installation method is simple and firm, and can resist the impact force caused by external impact. It can also protect the surface of the tank body from being bumped and dented, and protect the tank body to the greatest extent. It has the advantages of being easy to use and having a good protective effect, but the protective performance of the protective structure is adapted downward, and there is a disadvantage of high cost.

[0005] Patent application CN218402012U discloses an explosion-proof device for a chemical drug storage tank, in which an outer tank body is provided with an outer tank outer explosion-proof layer and an outer tank inner explosion-proof layer, an outer elastic bladder and an outer pleated bladder, and an inner tank body is provided with an inner tank outer explosion-proof layer and an inner tank inner explosion-proof layer, an inner elastic bladder and an inner pleated bladder, respectively, so that the inside and outside of the outer tank body and the inner tank body have explosion-proof functions, thereby increasing the explosion-proof effect and reducing the probability of the inner tank body and the outer tank body bursting. However, the protective performance of the protective structure is also adapted downward, and there is a disadvantage of high cost.

[0006] Therefore, there is an urgent need for an optimization design system and method for the performance of explosion-proof and anti-collision protective structures, so as to effectively reduce costs while ensuring the explosion-proof and anti-collision performance of the protective structures. Summary of the invention

[0007] The present invention provides a system and method for optimizing the design of explosion-proof and anti-collision protection structure performance in order to solve the problem that various explosion-proof and anti-collision protection structures in the prior art are often based on existing structures and adopt the principle of downward adaptation to ensure protection performance when applied under different working conditions, resulting in increased costs of the protection structures and poor economic benefits.

[0008] In order to achieve the above-mentioned object, the present invention provides a system for optimizing the performance of explosion-proof and anti-collision protection structures in a first aspect, the system comprising:

[0009] A protection performance measurement parameter determination module is used to determine the performance parameters for measuring the protection performance of the protection structure according to the selected protection structure;

[0010] A characteristic parameter determination module, used to determine characteristic parameters that affect the protective performance of the protective structure according to the performance parameters;

[0011] A characteristic parameter simulation module is used to determine the number of levels and level values ​​of each characteristic parameter according to the number of the characteristic parameters, and to generate an orthogonal experiment table according to each characteristic parameter and the number of levels and level values ​​of the characteristic parameters, and then to perform numerical simulation on each characteristic parameter in the orthogonal experiment table to determine the maximum value of the performance parameter under different level combinations of each characteristic parameter;

[0012] An optimization characteristic parameter determination module is used to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters, determine the influence level of each characteristic parameter on the performance parameter, and determine the characteristic parameters that need to be optimized according to the influence level;

[0013] The structure optimization module is used to determine the fitting formula according to the number of the characteristic parameters that need to be optimized, and determine the optimal value of the characteristic parameters that need to be optimized according to the fitting formula.

[0014] Preferably, the level value of the characteristic parameter is determined according to an empirical method or a numerical simulation method.

[0015] Preferably, the numerical simulation of each characteristic parameter in the orthogonal experimental table specifically includes:

[0016] According to each characteristic parameter in the orthogonal experiment table, a numerical model is established using numerical modeling software and numerical simulation is performed.

[0017] Preferably, the numerical modeling software includes ABAQUS software, ls-dyna software and FLAC3D software.

[0018] Preferably, the performing variance analysis on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters specifically includes:

[0019] Variance analysis software is used to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of each characteristic parameter.

[0020] Preferably, the variance analysis software includes SPSS software.

[0021] Preferably, determining the influence level of each characteristic parameter on the performance parameter specifically includes:

[0022] The influence level of each characteristic parameter on the performance parameter is determined according to the sum of squares, degrees of freedom, mean square and F value.

[0023] Preferably, the fitting formula is determined according to the number of the characteristic parameters to be optimized, and specifically includes:

[0024] When the number of the characteristic parameters to be optimized is one or two, one or two of the characteristic parameters are used as independent variables, and several fitting arrays are set according to the orthogonal experiment table, and then the fitting formula is generated by using the origin software based on the several fitting arrays;

[0025] When the number of the characteristic parameters to be optimized is more than two, the more than two characteristic parameters are used as independent variables, and a number of fitting arrays are set according to the orthogonal experimental table, and then the fitting formula is generated based on the several fitting arrays using SPSS software.

[0026] Preferably, the number of fitting arrays is not less than ten.

[0027] Preferably, determining the optimal value of the characteristic parameter according to the fitting formula specifically includes:

[0028] Substitute the limit value of the target performance parameter of the protective structure into the fitting formula, and obtain the optimal value of the characteristic parameter to be optimized through the fitting formula.

[0029] Preferably, the performance parameters include support angle, elastic deformation, plastic deformation, stress and strain.

[0030] Preferably, determining the characteristic parameters affecting the protective performance of the protective structure according to the performance parameters specifically includes:

[0031] A characteristic parameter affecting the protective performance of the protective structure is determined based on at least one of the performance parameters.

[0032] Preferably, the characteristic parameter affecting the protective performance of the protective structure is determined based on the two performance parameters.

[0033] A second aspect of the present invention provides a method for optimizing the performance of an explosion-proof and anti-collision protection structure. Using the above-mentioned system for optimizing the performance of an explosion-proof and anti-collision protection structure, the method comprises the following steps:

[0034] S1. Determine the performance parameters for measuring the protective performance of the protective structure based on the selected protective structure;

[0035] S2. determining characteristic parameters that affect the protective performance of the protective structure according to the performance parameters;

[0036] S3, according to the number of the characteristic parameters, determine the number of levels and the level value of each characteristic parameter, and generate an orthogonal experiment table according to each characteristic parameter and the number of levels and the level value of the characteristic parameter, and then perform numerical simulation on each characteristic parameter in the orthogonal experiment table to determine the maximum value of the performance parameter under different level combinations of each characteristic parameter;

[0037] S4, performing variance analysis on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters, determining the influence level of each characteristic parameter on the performance parameter, and determining the characteristic parameter to be optimized according to the influence level;

[0038] S5. Determine a fitting formula according to the number of the characteristic parameters that need to be optimized, and determine the optimal values ​​of the characteristic parameters that need to be optimized according to the fitting formula.

[0039] According to the above technical scheme, based on the performance optimization design system and method for explosion-proof and anti-collision protection structures, in the actual application process, through the protection performance measurement parameter determination module, the performance parameters for measuring the protection performance of the protection structure can be determined according to the selected protection structure, through the characteristic parameter determination module, the characteristic parameters affecting the protection performance of the protection structure can be determined according to the performance parameters, through the characteristic parameter simulation module, the number of levels and the level value of each characteristic parameter can be determined according to the number of the characteristic parameters, and an orthogonal experimental table can be generated according to each characteristic parameter and the number of levels and the level value of the characteristic parameters, and then each characteristic parameter in the orthogonal experimental table is numerically simulated to determine the performance of each characteristic parameter under different level combinations. The maximum value of the performance parameter can be determined by optimizing the characteristic parameter determination module, and variance analysis can be performed on the maximum values ​​of the performance parameters under different level combinations of each characteristic parameter to determine the influence level of each characteristic parameter on the performance parameter, and the characteristic parameter that needs to be optimized can be determined according to the influence level. Through the structure optimization module, a fitting formula can be determined according to the number of the characteristic parameters that need to be optimized, and the optimal value of the characteristic parameter that needs to be optimized can be determined according to the fitting formula. In actual applications, the corresponding explosion-proof and anti-collision protection structure can be quickly optimized and designed according to the actual protection performance requirements under different application conditions, thereby effectively reducing costs while ensuring the protection effect, and having good economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a structural schematic diagram of the performance optimization design system for explosion-proof and collision-proof protection structures;

[0041] Figure 2 is a fitting effect diagram based on the maximum elastic deformation of the corrugated plate in Example 1;

[0042] Figure 3 is a fitting effect diagram based on the maximum plastic deformation of the corrugated plate in Example 1;

[0043] Figure 4 is a fitting effect diagram based on the maximum elastic deformation of the honeycomb panel in Example 6;

[0044] Figure 5 is a fitting effect diagram based on the maximum plastic deformation of the honeycomb panel in Example 6;

[0045] Figure 6 It is a flow chart of the performance optimization design method of explosion-proof and collision-proof protective structure. DETAILED DESCRIPTION

[0046] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0047] The first aspect of the present invention provides a system for optimizing the performance of explosion-proof and anti-collision protection structures. Figure 1 As shown, the explosion-proof and anti-collision protection structure performance optimization design system includes:

[0048] A protection performance measurement parameter determination module is used to determine the performance parameters for measuring the protection performance of the protection structure according to the selected protection structure;

[0049] A characteristic parameter determination module, used to determine characteristic parameters that affect the protective performance of the protective structure according to the performance parameters;

[0050] A characteristic parameter simulation module is used to determine the number of levels and level values ​​of each characteristic parameter according to the number of the characteristic parameters, and to generate an orthogonal experiment table according to each characteristic parameter and the number of levels and level values ​​of the characteristic parameters, and then to perform numerical simulation on each characteristic parameter in the orthogonal experiment table to determine the maximum value of the performance parameter under different level combinations of each characteristic parameter;

[0051] An optimization characteristic parameter determination module is used to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters, determine the influence level of each characteristic parameter on the performance parameter, and determine the characteristic parameters that need to be optimized according to the influence level;

[0052] The structure optimization module is used to determine the fitting formula according to the number of the characteristic parameters that need to be optimized, and determine the optimal value of the characteristic parameters that need to be optimized according to the fitting formula.

[0053] According to the above technical scheme, based on the performance optimization design system and method for explosion-proof and anti-collision protection structure, in the actual application process, through the cooperation of the protection performance measurement parameter determination module, the characteristic parameter determination module, the characteristic parameter simulation module, the optimized characteristic parameter determination module and the structure optimization module, the corresponding explosion-proof and anti-collision protection structure can be quickly optimized and designed according to the actual protection performance needs under different application conditions, thereby effectively reducing costs while ensuring the protection effect, and having good economic benefits.

[0054] In a specific embodiment of the explosion-proof and anti-collision protection structure performance optimization design system described in the present invention, the performance parameters include support angle, elastic deformation, plastic deformation, stress and strain. In actual application, people usually use the two performance parameters of elastic deformation and plastic deformation to measure the protection performance of the protection structure to meet the requirements. Therefore, in a more specific embodiment, the characteristic parameters affecting the protection performance of the protection structure according to the performance parameters are determined, which specifically includes: determining the characteristic parameters affecting the protection performance of the protection structure according to at least one performance parameter. Preferably, the characteristic parameters affecting the protection performance of the protection structure are determined according to the two performance parameters of elastic deformation and plastic deformation. For example, when the protective structure is a corrugated plate explosion-proof structure or a honeycomb plate impact-resistant structure, the performance parameters for measuring its protective performance include the support angle, elastic deformation and plastic deformation. Furthermore, people usually select elastic deformation and plastic deformation as performance parameters for measuring its protective performance, and further determine the characteristic parameters that affect its protective performance based on these two performance parameters. Specifically, when the protective structure is a corrugated plate explosion-proof structure, its characteristic parameters include thickness, wave width, slope width and slope depth. These four characteristic parameters can be adjusted through processing technology to adjust its protective effect; when the protective structure is a honeycomb plate impact-resistant structure, its characteristic parameters include cell thickness, cell height and cell size. These three characteristic parameters can also be adjusted through processing technology to adjust its protective effect. Similarly, when the protective structure is other protective structures, it can also be determined by referring to the above method, which will not be repeated here.

[0055] In the performance optimization design system for explosion-proof and anti-collision protection structures of the present invention, in a preferred embodiment, the horizontal value of the characteristic parameter is determined according to an empirical method or a numerical simulation method, which can effectively ensure the accuracy of the subsequent numerical simulation of each characteristic parameter based on an orthogonal experimental table to determine the maximum value of the performance parameter under different level combinations of each characteristic parameter. Among them, in a specific embodiment, taking the protective structure as a corrugated plate explosion-proof structure as an example, when the characteristic parameters are four, namely, thickness, wave width, slope width and slope depth, the number of levels of each characteristic parameter is preferably four. Further, according to the empirical method or the numerical simulation method, it can be determined that the horizontal values ​​of the thickness are 2mm, 3mm, 4mm and 5mm, the horizontal values ​​of the wave width are 40mm, 50mm, 60mm and 70mm, the horizontal values ​​of the slope width are 40mm, 50mm, 60mm and 70mm, and the horizontal values ​​of the slope depth are 40mm, 50mm, 60mm and 70mm.

[0056] In a preferred embodiment of the explosion-proof and anti-collision protection structure performance optimization design system of the present invention, the numerical simulation of each characteristic parameter in the orthogonal experimental table specifically includes:

[0057] According to each characteristic parameter in the orthogonal experiment table, a numerical model is established using numerical modeling software and numerical simulation is performed.

[0058] Further, in a more preferred embodiment, according to each of the characteristic parameters in the orthogonal experimental table, a numerical model is established and numerical simulation is performed using any one of ABAQUS software (engineering simulation finite element analysis software), ls-dyna software (nonlinear software) and FLAC3D software (simulation calculation software).

[0059] In an embodiment of the present invention, by further using ABAQUS software to perform numerical modeling and simulation on each of the characteristic parameters in the orthogonal experimental table, the maximum value of the performance parameter under different level combinations of each of the characteristic parameters can be quickly obtained, so that the subsequent optimization characteristic parameter determination module can quickly and accurately determine the characteristic parameters that need to be optimized.

[0060] In order to further accurately determine the characteristic parameters to be optimized based on the maximum values ​​of the performance parameters under different level combinations, in a preferred embodiment, the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters are subjected to variance analysis, specifically including:

[0061] Variance analysis software is used to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of each characteristic parameter.

[0062] In a more preferred embodiment, SPSS software (statistical products and service solutions software) is used to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of each characteristic parameter, so that the influence level of each characteristic parameter on the performance parameter can be quickly and accurately determined based on the results of the variance analysis, and the characteristic parameters that need to be optimized are further determined based on the influence level. Among them, in a specific embodiment, the determination of the influence level of each characteristic parameter on the performance parameter specifically includes: determining the influence level of each characteristic parameter on the performance parameter based on the sum of squares, degrees of freedom, mean square and F value, so that the influence of each characteristic parameter on the performance parameter can be quickly determined based on the sum of squares, degrees of freedom, mean square and F value, and the characteristic parameters that have a significant impact on the performance parameters are selected as the characteristic parameters that need to be optimized, thereby effectively avoiding the general principle of downward adaptation in the prior art to strengthen the various dimensions of the protective structure, resulting in increased costs.

[0063] In a preferred embodiment of the explosion-proof and anti-collision protection structure performance optimization design system of the present invention, the fitting formula is determined according to the number of the characteristic parameters to be optimized, specifically including:

[0064] When the number of the characteristic parameters to be optimized is one or two, one or two of the characteristic parameters are used as independent variables, and a number of fitting arrays are set according to the orthogonal experiment table, and then the origin software (drawing / data analysis software) is used to generate a fitting formula based on the number of fitting arrays;

[0065] When the number of the characteristic parameters to be optimized is more than two, the more than two characteristic parameters are used as independent variables, and a number of fitting arrays are set according to the orthogonal experimental table, and then the fitting formula is generated based on the several fitting arrays using SPSS software.

[0066] In the embodiment of the present invention, specifically, when the number of the characteristic parameters that need to be optimized determined by the optimization characteristic parameter determination module is one or two, one or two of the characteristic parameters are used as independent variables, and the other characteristic parameters that do not need to be optimized are used as invariants, and several fitting arrays are set with reference to the orthogonal experimental table, and then the fitting formula of the characteristic parameters and the performance parameters can be fitted based on the several fitting arrays using the origin software, and then based on the fitting formula in the actual application process, according to the performance parameter requirements of the actual application scenario, the optimal value of the characteristic parameter that has a significant impact on the performance parameter can be quickly determined. Similarly, when the number of the characteristic parameters that need to be optimized determined by the optimization characteristic parameter determination module is more than two, the fitting formula of the characteristic parameters and the performance parameters can be fitted using the SPSS software, and based on the fitting formula in the actual application process, according to the performance parameter requirements of the actual application scenario, the optimal value of the characteristic parameter that has a significant impact on the performance parameter can be quickly determined. Wherein, in a preferred embodiment, the number of fitting arrays is not less than ten groups, so as to ensure the accuracy of the obtained fitting formula.

[0067] In a preferred embodiment of the explosion-proof and anti-collision protection structure performance optimization design system of the present invention, the optimal value of the characteristic parameter is determined according to the fitting formula, specifically including:

[0068] Substitute the limit value of the target performance parameter of the protective structure into the fitting formula, and obtain the optimal value of the characteristic parameter to be optimized through the fitting formula.

[0069] In practical applications, taking the corrugated plate explosion-proof structure as an example, according to the actual application scenario, the limit values ​​of the target elastic deformation and plastic deformation are determined to be 40mm and 30mm respectively, and then the limit values ​​of the elastic deformation and plastic deformation are substituted into the fitting formula to obtain the optimal value of the characteristic parameter that needs to be optimized.

[0070] The second aspect of the present invention also provides a method for optimizing the performance of explosion-proof and anti-collision protection structures, which is implemented using the above-mentioned system for optimizing the performance of explosion-proof and anti-collision protection structures, such as Figure 6 As shown, the method comprises the following steps:

[0071] S1. Determine the performance parameters for measuring the protective performance of the protective structure based on the selected protective structure;

[0072] Wherein, in step S1, the performance parameters include support angle, elastic deformation, plastic deformation, stress and strain.

[0073] S2. Determine characteristic parameters that affect the protective performance of the protective structure according to the performance parameters;

[0074] Among them, in step S2, determining the characteristic parameters affecting the protective performance of the protective structure according to the performance parameters specifically includes:

[0075] The characteristic parameter affecting the protective performance of the protective structure is determined according to at least one of the performance parameters. Preferably, the characteristic parameter affecting the protective performance of the protective structure is determined according to two of the performance parameters.

[0076] S3, according to the number of the characteristic parameters, determine the number of levels and the level value of each characteristic parameter, and generate an orthogonal experiment table according to each characteristic parameter and the number of levels and the level value of the characteristic parameter, and then perform numerical simulation on each characteristic parameter in the orthogonal experiment table to determine the maximum value of the performance parameter under different level combinations of each characteristic parameter;

[0077] Wherein, in step S3, the level value of the characteristic parameter is determined according to an empirical method or a numerical simulation method. The numerical simulation of each characteristic parameter in the orthogonal experiment table specifically includes:

[0078] According to the characteristic parameters in the orthogonal experiment table, a numerical model is established and numerical simulation is performed using ABAQUS software, ls-dyna software or FLAC3D software.

[0079] S4, performing variance analysis on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters, determining the influence level of each characteristic parameter on the performance parameter, and determining the characteristic parameter to be optimized according to the influence level;

[0080] Wherein, in step S4, the variance analysis is performed on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters, specifically including:

[0081] SPSS software is used to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters. Determining the influence level of each characteristic parameter on the performance parameter specifically includes:

[0082] The influence level of each characteristic parameter on the performance parameter is determined according to the sum of squares, degrees of freedom, mean square and F value.

[0083] S5. Determine a fitting formula according to the number of the characteristic parameters that need to be optimized, and determine the optimal values ​​of the characteristic parameters that need to be optimized according to the fitting formula.

[0084] Among them, in step S5, the fitting formula is determined according to the number of the characteristic parameters that need to be optimized, specifically including:

[0085] When the number of the characteristic parameters to be optimized is one or two, one or two of the characteristic parameters are used as independent variables, and several fitting arrays are set according to the orthogonal experiment table, and then the fitting formula is generated by using the origin software based on the several fitting arrays;

[0086] When the number of the characteristic parameters to be optimized is more than two, the two or more characteristic parameters are used as independent variables, and a number of fitting arrays are set according to the orthogonal experimental table, and then a fitting formula is generated based on the several fitting arrays using SPSS software. The number of fitting arrays is not less than ten groups. Determining the optimal value of the characteristic parameter according to the fitting formula specifically includes:

[0087] Substitute the limit value of the target performance parameter of the protective structure into the fitting formula, and obtain the optimal value of the characteristic parameter to be optimized through the fitting formula.

[0088] The present invention will be described in detail below through examples, but the protection scope of the present invention is not limited thereto.

[0089] Example 1

[0090] There is a potential explosion hazard source in a small industrial plant. The owner wants to use corrugated plates for explosion protection. The height of the corrugated plates is 1.2 meters, the width is 2.4 meters, the distance from the hazard source is 2.5 meters, and the TNT equivalent of the explosion hazard source is 1.8 kg. The corrugated plates need to be structurally optimized, that is, to ensure that the maximum elastic deformation of the corrugated plates does not exceed 40 mm (limited value), and the maximum plastic deformation does not exceed 30 mm (limited value). The explosion and collision protection structure performance optimization design system of the present invention is implemented. Specifically, the system includes:

[0091] A protection performance measurement parameter determination module is used to determine the performance parameters for measuring the protection performance of the protection structure according to the selected protection structure;

[0092] A characteristic parameter determination module, used to determine characteristic parameters that affect the protective performance of the protective structure according to the performance parameters;

[0093] A characteristic parameter simulation module is used to determine the number of levels and level values ​​of each characteristic parameter according to the number of the characteristic parameters, and to generate an orthogonal experiment table according to each characteristic parameter and the number of levels and level values ​​of the characteristic parameters, and then to perform numerical simulation on each characteristic parameter in the orthogonal experiment table to determine the maximum value of the performance parameter under different level combinations of each characteristic parameter;

[0094] An optimization characteristic parameter determination module is used to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters, determine the influence level of each characteristic parameter on the performance parameter, and determine the characteristic parameters that need to be optimized according to the influence level;

[0095] The structure optimization module is used to determine the fitting formula according to the number of the characteristic parameters that need to be optimized, and determine the optimal value of the characteristic parameters that need to be optimized according to the fitting formula.

[0096] Specifically, the performance parameters include support angle, elastic deformation and plastic deformation.

[0097] Determining the characteristic parameters affecting the protective performance of the protective structure according to the performance parameters specifically includes:

[0098] The characteristic parameters affecting the protective performance of the protective structure are determined based on the two performance parameters.

[0099] The number of levels of the characteristic parameters is equal to the number of the characteristic parameters, and the level values ​​of the characteristic parameters are determined according to a numerical simulation method.

[0100] The numerical simulation of each characteristic parameter in the orthogonal experimental table specifically includes:

[0101] According to each characteristic parameter in the orthogonal experiment table, a numerical model is established using numerical modeling software and numerical simulation is performed.

[0102] The variance analysis of the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters specifically includes:

[0103] The variance analysis software is used to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of each characteristic parameter.

[0104] Determining the influence level of each characteristic parameter on the performance parameter specifically includes:

[0105] The influence level of each characteristic parameter on the performance parameter is determined according to the sum of squares, degrees of freedom, mean square and F value.

[0106] Determining the fitting formula according to the number of the characteristic parameters to be optimized specifically includes:

[0107] When the number of the characteristic parameters to be optimized is one or two, one or two of the characteristic parameters are used as independent variables, and several fitting arrays are set according to the orthogonal experiment table, and then the fitting formula is generated by using the origin software based on the several fitting arrays;

[0108] When the number of the characteristic parameters to be optimized is more than two, the more than two characteristic parameters are used as independent variables, and several fitting arrays are set according to the orthogonal experimental table, and then the fitting formula is generated based on the several fitting arrays using SPSS software. The number of fitting arrays is thirteen.

[0109] Determining the optimal value of the characteristic parameter according to the fitting formula specifically includes:

[0110] Substitute the limit value of the target performance parameter of the protective structure into the fitting formula, and obtain the optimal value of the characteristic parameter to be optimized through the fitting formula.

[0111] In the actual application process, first, the protective performance measurement parameter determination module determines the elastic deformation and plastic deformation as the performance parameters for measuring the protective performance of the corrugated plate based on the corrugated plate; then the characteristic parameter determination module determines the characteristic parameters affecting the protective performance of the corrugated plate as thickness, wave width, slope width and slope depth according to the elastic deformation and plastic deformation; then the characteristic parameter simulation module determines the number and value of levels of each characteristic parameter according to the number of the characteristic parameters, and generates an orthogonal experimental table according to the number and value of each characteristic parameter and the level of the characteristic parameter, and then performs a simulation on each of the characteristic parameters in the orthogonal experimental table. The characteristic parameters are numerically simulated to determine the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters. Specifically, the number of levels of each characteristic parameter is determined to be four. According to the numerical simulation method, the horizontal values ​​of the thickness are determined to be 2 mm, 3 mm, 4 mm and 5 mm, the horizontal values ​​of the wave width are determined to be 40 mm, 50 mm, 60 mm and 70 mm, the horizontal values ​​of the slope width are determined to be 40 mm, 50 mm, 60 mm and 70 mm, and the horizontal values ​​of the slope depth are determined to be 40 mm, 50 mm, 60 mm and 70 mm. The generated orthogonal experimental table is shown in Table 1 below:

[0112] Table 1: Orthogonal test table of corrugated plate

[0113]

[0114]

[0115] Furthermore, numerical modeling software is used to perform numerical simulation on each characteristic parameter in the orthogonal experimental table to determine the maximum value of the performance parameter under different level combinations of each characteristic parameter, as shown in Table 2 below:

[0116] Table 2: Maximum elastic deformation and maximum plastic deformation of each group in the orthogonal test

[0117]

[0118]

[0119] Then, the optimization characteristic parameter determination module uses variance analysis software to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters, determine the influence level of each characteristic parameter on the performance parameters, and determine the characteristic parameters that need to be optimized according to the influence level, as shown in Tables 3 and 4 below:

[0120] Table 3: Variance analysis of maximum elastic deformation in orthogonal test

[0121] Sources of variance sum of squares Degrees of Freedom Mean Square F-number Significant level Thickness 843.22 3 281.072 7.829 ** <![CDATA[Wave width L 1 > 43.703 3 14.568 0.406 - <![CDATA[Slope width L 2 > 19.874 3 6.625 0.185 - Slope depth h 425.253 3 141.751 3.949 * error 107.70 3 35.90 - -

[0122] Note: ** indicates a very significant impact, and * indicates a significant impact.

[0123] Table 4: Variance analysis of maximum plastic deformation in orthogonal test

[0124] Sources of variance sum of squares Degrees of Freedom Mean Square F-number Significant level Thickness 858.814 3 286.271 12.33 ** <![CDATA[Wave width L 1 > 42.451 3 14.150 0.610 - <![CDATA[Slope width L 2 > 34.883 3 11.628 0.501 - Slope depth h 233.732 3 77.911 3.357 * error 69.627 3 23.209 - -

[0125] It can be seen from Tables 3 and 4 that the F values ​​of thickness and slope depth are higher in terms of maximum elastic deformation and maximum plastic deformation, indicating that this characteristic parameter has a significant impact on the performance parameters. Therefore, it can be concluded that thickness and slope depth are the main influencing factors affecting the protective performance of corrugated plates, while wave width and slope width are secondary influencing factors, thus determining thickness and slope depth as the characteristic parameters that need to be optimized; finally, the structural optimization module uses thickness and slope depth as independent variables, wave width and slope width as constant variables, and sets thirteen sets of fitting arrays with reference to the orthogonal experimental table, as shown in Table 5 below:

[0126] Table 5: Fitting array

[0127]

[0128] Then, based on the thirteen fitting arrays, the origin software was used to generate the fitting formula:

[0129]

[0130] Among them, Z is the maximum elastic deformation or maximum plastic deformation, x is the thickness, y is the slope depth, and Z 0, A, C, D and other polynomial parameters are automatically generated by the software.

[0131] Specifically, the fitting effect diagrams of elastic deformation and plastic deformation are as follows: Figure 2 and 3 As shown, the maximum elastic deformation Z 1 and the maximum plastic deformation Z 2 They are:

[0132]

[0133]

[0134] Finally, the limit values ​​of the target performance parameters of the protective structure are substituted into the fitting formula. The optimal values ​​of the thickness and slope depth to be optimized are obtained by the fitting formula, which are 2mm and 40mm respectively. That is, the thickness of the corrugated plate after optimization design is 2mm, the slope depth is 40mm, the slope width is 50mm, and the slope depth is 50mm.

[0135] After testing, based on the explosion-proof and anti-collision protection structure performance optimization design system described in the present invention, the maximum elastic deformation of the optimized corrugated plate is 35.82mm, and the maximum plastic deformation is 23.91mm, which meets the explosion-proof requirements and effectively reduces the production cost of the corrugated plate, with good economic benefits.

[0136] Example 2

[0137] Refer to Example 1 for implementation, except that the numerical modeling software is ABAQUS software.

[0138] After testing, it is found that compared with the solution in Example 1, the optimization effect on the corrugated plate structure can be further effectively improved, thereby further effectively reducing the production cost of the corrugated plate.

[0139] Example 3

[0140] Refer to Example 2 for implementation, except that the variance analysis software is SPSS software.

[0141] After testing, it is found that compared with the solution in Example 2, the optimization effect on the corrugated plate structure can be further effectively improved, thereby further effectively reducing the production cost of the corrugated plate.

[0142] Example 4

[0143] This is implemented with reference to Example 3, except that the number of levels of the characteristic parameter is five.

[0144] After testing, it is found that compared with the solution in Example 3, the optimization effect on the corrugated plate structure can be further effectively improved, thereby further effectively reducing the production cost of the corrugated plate.

[0145] Example 5

[0146] This is implemented with reference to Example 1, except that the level of the characteristic parameter is determined based on an empirical method.

[0147] After testing, based on the explosion-proof and anti-collision protection structure performance optimization design system described in the present invention, the maximum elastic deformation of the optimized corrugated plate is 35.82mm, and the maximum plastic deformation is 23.91mm, which meets the explosion-proof requirements and effectively reduces the production cost of the corrugated plate, with good economic benefits.

[0148] Example 6

[0149] There is a danger of large splashes hitting the storage tanks and other devices in the chemical park. In order to protect the devices, a honeycomb panel structure is used to resist the impact of splashes. The honeycomb panel structure is composed of multiple 1m×1m composite panels. The splashes are cylindrical structures with a diameter of 0.1m, a height of 0.1m, a mass of 6.17kg, and an impact speed of 100m / s. The honeycomb panel needs to be structurally optimized to ensure that the maximum elastic deformation of the honeycomb panel does not exceed 20mm and the maximum plastic deformation does not exceed 15mm. The performance optimization design system for the explosion-proof and anti-collision protection structure described in Example 1 of the present invention is used for implementation.

[0150] In the actual application process, first, the protective performance measurement parameter determination module determines the elastic deformation and plastic deformation as the performance parameters for measuring the protective performance of the honeycomb panel based on the honeycomb panel; then the characteristic parameter determination module determines the characteristic parameters affecting the protective performance of the honeycomb panel as the cell thickness, cell height and cell size according to the elastic deformation and plastic deformation; then the characteristic parameter simulation module determines the number of levels and the level value of each characteristic parameter according to the number of the characteristic parameters, and generates an orthogonal experimental table according to each characteristic parameter and the number of levels and the level value of the characteristic parameter, and then performs numerical simulation on each characteristic parameter in the orthogonal experimental table to determine the maximum value of the performance parameter of each characteristic parameter under different level combinations. Specifically, the number of levels of each characteristic parameter is determined to be four, and the horizontal values ​​of the cell thickness are determined to be 2mm, 3mm, 4mm and 5mm according to the numerical simulation method, the horizontal values ​​of the cell height are determined to be 30mm, 40mm, 50mm and 60mm respectively, and the horizontal values ​​of the cell size are determined to be 100mm, 110mm, 120mm and 130mm respectively. The generated orthogonal experimental table is shown in Table 6 below:

[0151] Table 6: Orthogonal test table of honeycomb panels

[0152] serial number Cell thickness t / mm Cell height h / mm Cell size L / mm 1 2 30 100 2 3 30 110 3 4 30 120 4 5 30 130 5 2 40 110 6 3 40 100 7 4 40 130 8 5 40 120 9 2 50 120 10 3 50 130 11 4 50 100 12 5 50 110 13 2 60 130 14 3 60 120 15 4 60 110 16 5 60 100

[0153] Furthermore, numerical modeling software is used to perform numerical simulation on each characteristic parameter in the orthogonal experimental table to determine the maximum value of the performance parameter under different level combinations of each characteristic parameter, as shown in Table 7 below:

[0154] Table 7: Maximum elastic deformation and maximum plastic deformation of each group in the orthogonal test

[0155]

[0156]

[0157] Then, the optimization characteristic parameter determination module uses variance analysis software to perform variance analysis on the maximum values ​​of the performance parameters under different level combinations of each characteristic parameter, determine the influence level of each characteristic parameter on the performance parameter, and determine the characteristic parameters that need to be optimized according to the influence level, as shown in Tables 8 and 9 below:

[0158] Table 8: Variance analysis of maximum elastic deformation in orthogonal test

[0159] Sources of variance sum of squares Degrees of Freedom Mean Square F-number Significant level Cell thickness 3.544 3 1.181 0.811 - Cell height 229.154 3 76.385 52.410 ** Cell size 101.400 3 33.800 23.191 * error 8.754 6 1.457 - -

[0160] Note: ** indicates a very significant impact, and * indicates a significant impact.

[0161] Table 9: Variance analysis of maximum plastic deformation in orthogonal test

[0162] Sources of variance sum of squares Degrees of Freedom Mean Square F-number Significant level Cell thickness 16.794 3 5.598 3.510 - Cell height 158.675 3 52.892 33.163 ** Cell size 109.916 3 36.639 22.972 * error 9.569 6 1.595 - -

[0163] It can be seen from Tables 8 and 9 that the F values ​​of cell height and cell size are higher in terms of maximum elastic deformation and maximum plastic deformation, indicating that this characteristic parameter has a significant impact on the performance parameters. Therefore, it can be concluded that cell height and cell size are the main influencing factors affecting the protective performance of the corrugated plate, while cell thickness is a secondary influencing factor, so cell height and cell size are determined as the characteristic parameters that need to be optimized; finally, the structural optimization module uses cell height and cell size as independent variables, cell thickness as a constant, and sets sixteen sets of fitting arrays with reference to the orthogonal experimental table, as shown in Table 10 below:

[0164] Table 10: Fitting array

[0165]

[0166] Then, based on the sixteen sets of fitting arrays, the origin software is used to generate the fitting formula:

[0167]

[0168] Among them, Z is the maximum elastic deformation or the maximum plastic deformation, x is the cell height, y is the cell size, and Z0 , A 1 , A 2 , A 3 , A 01 , B 1 , B 2 , B 01 , B 02 , B 03 The polynomial parameters are automatically generated by the software.

[0169] Specifically, the fitting effect diagrams of elastic deformation and plastic deformation are as follows: Figure 4 and 5 As shown, the maximum elastic deformation Z 1 and the maximum plastic deformation Z 2 They are:

[0170]

[0171]

[0172] Finally, the limit values ​​of the target performance parameters of the protective structure are substituted into the fitting formula. The optimal values ​​of the cell height and cell size to be optimized are obtained through the fitting formula, which are 40 mm and 110 mm, respectively. That is, the cell height of the honeycomb panel after optimization design is 40 mm, the cell size is 110 mm, and the cell thickness is 3 mm.

[0173] After testing, based on the explosion-proof and anti-collision protection structure performance optimization design system described in the present invention, the maximum elastic deformation of the optimized honeycomb panel is 19.13mm, and the maximum plastic deformation is 12.72mm, which meets the explosion-proof requirements and effectively reduces the production cost of the honeycomb panel, with good economic benefits.

[0174] Example 7

[0175] Refer to Example 6 for implementation, except that the numerical modeling software is ABAQUS software.

[0176] After testing, it is found that compared with the solution in Example 6, the optimization effect on the honeycomb panel structure can be further effectively improved, thereby further effectively reducing the production cost of the honeycomb panel.

[0177] Example 8

[0178] Refer to Example 7 for implementation, except that the variance analysis software is SPSS software.

[0179] After testing, it is found that compared with the solution in Example 7, the optimization effect on the honeycomb panel structure can be further effectively improved, thereby further effectively reducing the production cost of the honeycomb panel.

[0180] Example 9

[0181] This is implemented with reference to Example 8, except that the number of levels of the characteristic parameter is five.

[0182] After testing, it is found that compared with the solution in Example 8, the optimization effect on the honeycomb panel structure can be further effectively improved, thereby further effectively reducing the production cost of the honeycomb panel.

[0183] Example 10

[0184] This is implemented with reference to Example 6, except that the level value of the characteristic parameter is determined based on an empirical method.

[0185] After testing, based on the explosion-proof and anti-collision protection structure performance optimization design system described in the present invention, the maximum elastic deformation of the optimized honeycomb panel is 19.13mm, and the maximum plastic deformation is 12.72mm, which meets the explosion-proof requirements and effectively reduces the production cost of the honeycomb panel, with good economic benefits.

[0186] The system and method for optimizing the performance design of explosion-proof and anti-collision protection structures provided by the present invention can quickly optimize the design of corresponding explosion-proof and anti-collision protection structures, thereby effectively reducing costs while ensuring the protection effect, and having good economic benefits.

[0187] The preferred embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto. Within the technical concept of the present invention, the technical solution of the present invention can be subjected to a variety of simple modifications. In order to avoid unnecessary repetition, the present invention will not further describe various possible combinations. However, these simple modifications and combinations should also be regarded as the contents disclosed by the present invention and belong to the protection scope of the present invention.

Claims

1. An optimization design system for the performance of an explosion and collision resistant protection structure, characterized in that, the system includes: A protection performance measurement parameter determination module, which is used to determine the performance parameters for measuring the protection performance of the protection structure according to the selected protection structure; A characteristic parameter determination module, which is used to determine the characteristic parameters that affect the protection performance of the protection structure according to the performance parameters; A characteristic parameter simulation module, which is used to determine the number of levels and level values of each of the characteristic parameters according to the number of the characteristic parameters, and generate an orthogonal experiment table according to each of the characteristic parameters and the number of levels and level values of the characteristic parameters, and then perform numerical simulation on each of the characteristic parameters in the orthogonal experiment table to determine the maximum value of the performance parameters of each of the characteristic parameters under different level combinations; An optimized characteristic parameter determination module, which is used to perform variance analysis on the maximum values of the performance parameters of each of the characteristic parameters under different level combinations, determine the influence levels of each of the characteristic parameters on the performance parameters, and determine the characteristic parameters to be optimized according to the influence levels; A structure optimization module, which is used to determine a fitting formula according to the number of the characteristic parameters to be optimized, and determine the optimal values of the characteristic parameters to be optimized according to the fitting formula.

2. The system according to claim 1, characterized in that, the level values of the characteristic parameters are determined by the empirical method or the numerical simulation method.

3. The system according to claim 1 or 2, characterized in that, the numerical simulation of each of the characteristic parameters in the orthogonal experiment table specifically includes: According to each of the characteristic parameters in the orthogonal experiment table, a numerical model is established by using numerical modeling software and numerical simulation is performed.

4. The system according to claim 3, characterized in that, the numerical modeling software includes ABAQUS software, ls-dyna software and FLAC3D software.

5. The system according to claim 1 or 4, characterized in that, the variance analysis of the maximum values of the performance parameters of each of the characteristic parameters under different level combinations specifically includes: Using variance analysis software to perform variance analysis on the maximum values of the performance parameters of each of the characteristic parameters under different level combinations.

6. The system according to claim 5, characterized in that, the variance analysis software includes SPSS software.

7. The system according to claim 1 or 6, characterized in that, the determination of the influence levels of each of the characteristic parameters on the performance parameters specifically includes: Determining the influence levels of each of the characteristic parameters on the performance parameters according to the sum of squares, degrees of freedom, mean square and F value.

8. The system according to claim 1, characterized in that, the determination of the fitting formula according to the number of the characteristic parameters to be optimized specifically includes: When the number of the characteristic parameters to be optimized is one or two, one or two of the characteristic parameters are used as independent variables, and a number of fitting arrays are set according to the orthogonal experiment table, and then a fitting formula is generated by using origin software based on the number of fitting arrays; When the number of the characteristic parameters to be optimized is more than two, the more than two characteristic parameters are used as independent variables, and a number of fitting arrays are set according to the orthogonal experimental table, and then the fitting formula is generated based on the several fitting arrays using SPSS software.

9. The system according to claim 8, It is characterized in that The number of fitted arrays is no less than ten.

10. The system according to claim 1 or 8, It is characterized in that Determining the optimal value of the characteristic parameter according to the fitting formula specifically includes: Substitute the limit value of the target performance parameter of the protective structure into the fitting formula, and obtain the optimal value of the characteristic parameter to be optimized through the fitting formula.

11. The system according to claim 1, It is characterized in that The performance parameters include support angle, elastic deformation, plastic deformation, stress and strain.

12. The system according to claim 11, It is characterized in that Determining the characteristic parameters affecting the protective performance of the protective structure according to the performance parameters specifically includes: A characteristic parameter affecting the protective performance of the protective structure is determined based on at least one of the performance parameters.

13. The system according to claim 12, It is characterized in that The characteristic parameters affecting the protective performance of the protective structure are determined based on the two performance parameters.

14. A method for optimizing the performance of explosion-proof and anti-collision protective structures. It is characterized in that The method is implemented using the system described in any one of claims 1 to 13, and comprises the following steps: S1. Determine the performance parameters for measuring the protective performance of the protective structure based on the selected protective structure; S2. Determine characteristic parameters that affect the protective performance of the protective structure according to the performance parameters; S3, according to the number of the characteristic parameters, determine the number of levels and the level value of each characteristic parameter, and generate an orthogonal experiment table according to each characteristic parameter and the number of levels and the level value of the characteristic parameter, and then perform numerical simulation on each characteristic parameter in the orthogonal experiment table to determine the maximum value of the performance parameter under different level combinations of each characteristic parameter; S4, performing variance analysis on the maximum values ​​of the performance parameters under different level combinations of the characteristic parameters, determining the influence level of each characteristic parameter on the performance parameter, and determining the characteristic parameter to be optimized according to the influence level; S5. Determine a fitting formula according to the number of the characteristic parameters that need to be optimized, and determine the optimal values ​​of the characteristic parameters that need to be optimized according to the fitting formula.

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