CN112699450B - Method, device and equipment for screening key components of space steel structure - Google Patents
Method, device and equipment for screening key components of space steel structure Download PDFInfo
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Abstract
The invention relates to a method, a device and equipment for screening a key component of a space steel structure, belonging to the technical field of component screening; acquiring the stress response of a rod under the action of temperature, classifying the rods in a target rod group according to the same stress mode based on the stress response of the rod and the stress mode classification rule, and acquiring a sub-rod group; and extracting the characteristics of the sub-rod member group, and screening the key components corresponding to the stress mode of the sub-rod member group according to the characteristics and a preset screening rule. Thereby can excavate the different atress modes of structure member, screen the key component under the different atress modes, solve among the prior art space steel structure's design and safe handling and have not enough phenomenon, simultaneously, alleviate the contradiction of a small amount of sensor numbers and the number of the large-scale member numbers of present ubiquitous, the rational arrangement problem of sensor when solving the component monitoring.
Description
Technical Field
The invention belongs to the technical field of component screening, and particularly relates to a method, a device and equipment for screening a key component of a space steel structure.
Background
The space steel structure is widely applied to large-span public buildings, such as stadiums, industrial plants, exhibitions, airport terminal buildings and the like, due to the characteristics of high assembly degree and certain economic advantages. With the improvement of the beautiful demand of people on public buildings, the modeling of the space steel structure is increasingly complex, and the large-scale application of the technologies such as a film roof structure, a large-scale outdoor component, a light-transmitting roof and the like in the space structure engineering leads the structure to be directly or indirectly exposed in the external natural environment and to be acted by complex time-varying temperature.
The space steel structure rod pieces are numerous, have large span and are high-order hyperstatic structures, and the temperature effect is particularly prominent; under the reciprocating and high-period temperature effect, the rod piece temperatures of different parts of the structure may have larger difference by considering the shadow shielding and the air convection heat exchange effect among the structural components; the temperature difference between the rods and the high order of the statically indeterminacy may in turn cause that parts of the rods are subjected to additional temperature stress, resulting in a reduction of design redundancy.
Therefore, the effect of the temperature has obvious influence on the design and safe use of the space steel structure. In the prior art, when the screening of key components is carried out, people often ignore the temperature effect, so that the design and the safe use of the space steel structure are insufficient.
Disclosure of Invention
The invention provides a method, a device and equipment for screening key components of a space steel structure, which are used for solving the problem that the space steel structure in the prior art is insufficient in design and safe use, relieving the contradiction between the number of a small number of sensors and the number of a large number of rods commonly existing at present and solving the problem of reasonable arrangement of the sensors during component monitoring.
The technical scheme provided by the invention is as follows:
in one aspect, a method for screening key components of a space steel structure comprises the following steps:
determining a target rod member group;
acquiring the stress correspondence of a rod piece under the action of temperature, and classifying the rod pieces in the target rod piece group according to the same stress mode based on the stress correspondence of the rod piece and the stress mode classification rule to acquire a sub-rod piece group;
and extracting the characteristics of the member bar groups, and screening the key components corresponding to the stress modes of the member bar groups according to the characteristics and preset screening rules.
Optionally, the obtaining of the stress of the rod member acted by the temperature is corresponding, and the rod members in the target rod member group are classified according to the same stress mode based on the stress correspondence of the rod member and the stress mode classification rule, so as to obtain the sub-rod member group, including:
acquiring stress response of a rod piece under the action of temperature, and establishing a stress proportion data set;
according to the stress proportion data set, based on the similarity of stress states, carrying out first-stage classification on the rods in the target rod group to obtain a first-stage classification main guide rod, wherein the first-stage classification main guide rod comprises: the main guide rod for shaft stress, the main guide rod for bending stress and the main guide rod for shearing stress;
constructing a response fluctuation evaluation index of the stress variation coefficient influenced by the temperature, and extracting a temperature sensitive rod piece from the main guide rod classified in the first stage according to the response fluctuation evaluation index and the temperature sensitivity difference;
based on different tension and compression states of the rod pieces, performing second-stage classification on the temperature sensitive rod pieces to obtain second-stage classified rod pieces, wherein the second-stage classified rod pieces comprise: a tensile stress mode rod, a compressive stress mode rod, and a tensile and compressive stress mode rod.
Optionally, the extracting the features of the member bar group, and screening the key component corresponding to the force-bearing mode of the member bar group according to the features and the preset screening rule include:
extracting the characteristic moment of the temperature action based on the structural seasonal temperature difference and the sunlight temperature difference, and acquiring the structural response under the actual temperature action working condition;
and extracting the characteristic quantity of the second-stage classification rod piece, and screening key components in different stress modes according to a hierarchical clustering method.
Optionally, the constructing a response fluctuation evaluation index of the stress variation coefficient affected by the temperature, and extracting the temperature-sensitive rod from the first-stage classification main rod according to the response fluctuation evaluation index and the temperature-sensitive difference includes:
determining component responses under different temperature action conditions;
establishing a response fluctuation evaluation index influenced by temperature;
and extracting the temperature-sensitive rod piece from the main guide rods classified in the first stage according to the response fluctuation evaluation index and the temperature-sensitive difference.
Optionally, the temperature-sensitive rod is classified in a second stage based on different tension and compression states of the rod, and a second-stage classified rod is obtained, where the second-stage classified rod includes: tensile stress mode member, compressive stress mode member and tensile compressive stress mode member include:
and based on the principle that the axial stress is positive in tension and negative in compression, classifying the temperature sensitive rods in the second stage from the tension-compression state of the rods to obtain a tension stress mode rod, a compression stress mode rod and a tension-compression stress mode rod.
Optionally, based on the seasonal difference in temperature of structure and the difference in temperature of sunshine, extract the characteristic moment of temperature effect, acquire the structural response under the actual temperature action operating mode, include:
determining a structural seasonal temperature difference working condition and a sunlight temperature difference working condition;
based on seasonal difference in temperature operating mode of structure and sunshine difference in temperature operating mode, draw the characteristic moment of temperature effect, acquire the structural response under the actual temperature effect operating mode.
Optionally, the extracting the features of the sub-rod member group, and screening the key components corresponding to the stress mode of the sub-rod member group according to the features and a preset screening rule includes:
and setting characteristic quantities of the tensile stress mode rod piece and the compressive stress mode rod piece, and screening key components in different stress modes by using a hierarchical clustering method.
In another aspect, a spatial steel structure key member screening device comprises: the device comprises a determining module, a classifying module and a screening module;
the determining module is used for determining a target rod piece group;
the classification module is used for acquiring the stress correspondence of the rod piece under the action of temperature, classifying the rod pieces in the target rod piece group according to the same stress mode based on the stress correspondence of the rod piece and the stress mode classification rule, and acquiring a sub-rod piece group;
the screening module is used for extracting the characteristics of the sub-rod member group and screening the key components corresponding to the stress mode of the sub-rod member group according to the characteristics and a preset screening rule.
Optionally, the classification module is configured to obtain a stress response of the rod under the action of the temperature, and establish a stress proportion data set; according to the stress proportion data set, based on the similarity of stress states, carrying out first-stage classification on the rods in the target rod group to obtain a first-stage classification main guide rod, wherein the first-stage classification main guide rod comprises: the main guide rod for shaft stress, the main guide rod for bending stress and the main guide rod for shearing stress; constructing a response fluctuation evaluation index of the stress variation coefficient influenced by the temperature, and extracting a temperature sensitive rod piece from the main guide rod classified in the first stage according to the response fluctuation evaluation index and the temperature sensitivity difference; based on different pulling and pressing states of the rods, performing second-stage classification on the temperature-sensitive rods to obtain second-stage classified rods, wherein the second-stage classified rods comprise: a tensile stress mode rod, a compressive stress mode rod, and a tensile and compressive stress mode rod.
In another aspect, a spatial steel structure key member screening device includes: a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the spatial steel structure key component screening method;
the processor is used for calling and executing the computer program in the memory.
The invention has the beneficial effects that:
according to the method, the device and the equipment for screening the key components of the space steel structure, a target rod piece group is determined; acquiring the stress correspondence of a rod piece under the action of temperature, classifying the rod pieces in a target rod piece group according to the same stress mode based on the stress correspondence of the rod piece and the stress mode classification rule, and acquiring a sub-rod piece group; and extracting the characteristics of the sub-rod member group, and screening the key components corresponding to the stress mode of the sub-rod member group according to the characteristics and a preset screening rule. Thereby can excavate the different atress modes of structure member, screen the key component under the different atress modes, solve among the prior art space steel structure's design and safe handling and have not enough phenomenon, simultaneously, alleviate the contradiction of a small amount of sensor numbers and the large amount of member numbers of present ubiquitous, the rational arrangement problem of sensor when solving the component monitoring.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for screening a key member of a spatial steel structure according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for classifying stress patterns of a rod according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a spatial steel structure key member screening device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a spatial steel structure key member screening device provided by an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It should be apparent that the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to at least solve the technical problem provided by the invention, the embodiment of the invention provides a method for screening the key components of the space steel structure.
Fig. 1 is a schematic flow chart of a method for screening a key member of a spatial steel structure according to an embodiment of the present invention, and as shown in fig. 1, the method according to the embodiment of the present invention may include the following steps:
s1, determining a target rod piece group.
S2, acquiring the rod stress response of the temperature, classifying the rods in the target rod group according to the same stress mode based on the rod stress response and the stress mode classification rule, and acquiring the sub-rod group.
And S3, extracting the characteristics of the sub-rod member group, and screening the key components corresponding to the stress mode of the sub-rod member group according to the characteristics and a preset screening rule.
In a specific implementation process, a rod member group of a space steel structure in any occasion can be defined as a target rod member group, so that the method for screening the key members of the space steel structure is applied to the target rod member group, and the key members are screened after temperature action is considered.
After the target rod piece group is confirmed, the rod piece stress response under the action of temperature can be obtained, and the rod pieces in the target rod piece group are classified according to the same stress mode on the basis of the rod piece stress response and the stress mode classification rule to obtain a sub rod piece group; and extracting the characteristics of the sub-rod member group, and screening the key components corresponding to the stress mode of the sub-rod member group according to the characteristics and a preset screening rule. And screening key components in different stress modes by excavating different stress modes of the structural rod piece.
Fig. 2 is a flowchart of a rod stress pattern classification method according to an embodiment of the present invention, referring to fig. 2, in some embodiments, optionally, obtaining a rod stress response under a temperature effect, classifying rods in a target rod group according to a same stress pattern based on the rod stress response and a stress pattern classification rule, and obtaining a sub-rod group, where the method includes:
s21, obtaining stress response of the rod under the action of temperature, and establishing a stress proportion data set.
In some embodiments, optionally, the method specifically includes:
counting stress values of n rod pieces of the space steel structure under the action of temperature, and using lower corner marks for different stress values
Represents and/or is based on>
The values of 1,2,3,4 and 5 respectively represent 5 stress values: axial stress sigma, y-direction shear stress tau y Z-direction shear stress tau z Y-direction bending stress gamma y And z-direction bending stress gamma z Whereby a ^ of n lever parts is constructed>
Seed stress data set>
In the formula (1), x i1 The axial stress value of the ith rod piece is obtained; x is the number of i2 The y-direction shear stress value of the ith rod piece is obtained; x is the number of i3 The z-direction shear stress value of the ith rod piece is obtained; x is the number of i4 The y-direction bending stress value of the ith rod piece is obtained; x is the number of i5 The z-direction bending stress value of the ith rod piece is shown.
Data set of stress
Preprocessing each stress component to obtain a stress ratio data set R of n rod pieces n Stress ratio of ith rod member r i ＝(r i ',r i ”,r i "') is indicated.
In the formula, r i ' is the axial stress ratio of the ith rod piece; r is i "is the shear stress ratio of the ith rod piece; r is i "' is the bending stress ratio of the ith rod piece.
S22, according to the stress proportion data set, based on the stress state similarity, performing first-stage classification on the rod pieces in the target rod group to obtain a first-stage classification main guide rod, wherein the first-stage classification main guide rod comprises: shaft stress leader, bending stress leader, shear stress leader.
For example, based on the similarity of the stress states, the rod pieces with close stress states are divided into the same cluster, and the rod pieces with larger difference of the stress states are divided into different clusters; assuming that n rods of the space steel structure are divided into k rod categories with different stress types, the obtained k cluster divisions are expressed as C = { C = 1 ,C 2 ,…,C i ,…,C k }。
Firstly, randomly selecting the stress ratio of k rod pieces from n rod pieces as an initial clustering center (mu) 1 ,μ 2 ,…,μ j ,…,μ k In which μ j ＝(r j ',r j ”,r j "'). By the European distance d between the rods ij Measure the degree of similarity of the stress state of the rod, d ij The smaller the bar is, the closer the force types of the bars are. Respectively calculating the ith rod piece r i (1. Ltoreq. I. Ltoreq.n) and each initial clustering center mu j (j is more than or equal to 1 and less than or equal to k) of Euclidean distance d ij To obtain the ith rod piece r i Distance from k initial cluster centers is { d } i1 ,d i2 ,…d ij ,…,d ik }。
d ij ＝||r i ,μ j || 2 ＝√(r i '-μ j ') 2 +(r i ”-μ j ”) 2 +(r i ”'-μ j ”') 2 (6)
Determining the division of the rod pieces according to the minimum distance, if d' ij ＝min{d i1 ,d i2 ,…；d ij ,…,d ik H, the ith rod piece r i Dividing the stress into j clusters in k rod member categories with different stress types by using lambda j Representing the division of the rod into the jth cluster, thereby obtaining the primary division of n rod pieces
λ j ＝argmin j∈{1,2,…,k} d ij (7)
Recalculating Cluster center [ mu ] for each cluster' 1 ,μ' 2 ,…,μ' j ,…,μ' k }：
The above process is repeated until mu' j ＝μ j That is, the iteratively updated cluster center remains unchanged, and then the final k cluster results C '= { C' of the rod pieces are output 1 ',C 2 ',…,C i ',…,C k '}。
In this embodiment, the stress of the rod may be selected as follows: the shaft stress, the shear stress and the bending stress are 3 types, so the clustering number k =3 is selected, and the first-stage classification of the rod piece of the main guide rod for the shaft stress, the bending stress and the shear stress is realized.
S23, constructing a response fluctuation evaluation index of the stress variation coefficient influenced by the temperature, and extracting the temperature sensitive rod piece from the main guide rods in the first-stage classification according to the response fluctuation evaluation index and the temperature sensitivity difference.
In some embodiments, optionally, comprising: determining component responses under different temperature action conditions; establishing a response fluctuation evaluation index influenced by temperature; and extracting the temperature sensitive rod piece from the main guide rods in the first stage classification according to the response fluctuation evaluation index and the temperature sensitivity difference.
For example, the temperature action condition is selected as follows: the structure design considers the extreme high temperature working condition and the extreme low temperature working condition of the structure, when t is taken as the folding temperature of the structure, the structure temperature difference corresponding to the extreme high temperature working condition and the extreme low temperature working condition is delta t respectively + 、Δt - ：
Δt + ＝T s,max -t (10)
Δt - ＝T s,min -t (11)
In the formula, T s,max The highest average temperature of the structure; t is a unit of s,min Is the lowest average temperature of the structure.
In order to analyze whether the rod piece is influenced by the temperature, the temperature action working conditions of A different temperature differences are considered, and the stress value change of the rod piece under the action of the different temperature differences is calculated, wherein the stress value change comprises the working conditions of not considering the temperature action, namely the temperature difference delta t =0 ℃. Taking phase synchronization distance d to perform f based on temperature difference delta t =0 DEG C 1 Increasing temperature to delta t + 、f 2 Secondary cooling to delta t - Meet 0+ df 1 ＜Δt + ，0-df 2 ＞Δt - So the working condition number A =3+ f 1 +f 2 And the temperature action working conditions of A different temperature differences are expressed as { delta t - ,-df 2 ,…,-d,0,d,…,df 1 ,Δt + }。
Evaluation index affected by temperature: taking a certain type of main guide rod obtained in the first stage as an example, assume that m rod pieces in the spatial steel structure belong to the type of main guide rod. Calculating the combined stress value C of m rod members in the main guide rod under the temperature action working conditions of A different temperature differences b(m×A) Expressed in matrix as follows:
in the formula, C b(ij) The combined stress value of the ith rod piece in the jth temperature action working condition is obtained.
Combined stress variation coefficient CV of selected rod piece i Namely, the magnitude of the temperature influence on the response fluctuation is used as an evaluation index.
In the formula, mu i The mean value of the combined stress of the ith rod piece is obtained; SD i The standard deviation of the combined stress of the ith rod piece is shown; CV of i The combined stress variation coefficient of the ith rod piece.
Obtaining a second-stage classification of the rods based on the temperature sensitivity difference: considering the limit value | CV | of the variation coefficient, the combined stress variation coefficient CV of the ith rod piece i Compared to the limit | CV |: when CV is i When | CV | is exceeded, the rod stress is considered to be unaffected by temperature; when CV is i In the case of "CV", it is considered that the stress of the rod is influenced by the temperature, and the variation coefficient corresponding to the sudden change of the number of the rod influenced by the temperature is used as the limit value of the variation coefficient, so as to obtain the second stage classification of m rod pieces in the main guide rod of the space steel structure.
S24, based on different tension and compression states of the rod pieces, performing second-stage classification on the temperature sensitive rod pieces to obtain second-stage classified rod pieces, wherein the second-stage classified rod pieces comprise: a tensile stress mode rod, a compressive stress mode rod, and a tensile and compressive stress mode rod.
In some embodiments, optionally, comprising: and based on the principle that the axial stress is positive in tension and negative in compression, classifying the temperature sensitive rods in the second stage from the tension and compression states of the rods to obtain a tension stress mode rod, a compression stress mode rod and a tension and compression stress mode rod.
For example, based on the principle that "the axial stress is positive in tension and negative in compression", the rod is further classified into tensile stress, compressive stress, and tensile-compressive stress modes based on the aforementioned rod classification method into two stages from the state of tensile and compressive of the rod.
Considering the positive and negative conditions of the axial stress of various main guide rods influenced by temperature, when the temperature changes, the rod piece is always pulled, and the mode is a tensile stress mode; the pressure is always applied, and the pressure stress mode is adopted; if the stress state of the rod piece changes, the rod piece is in a tension-compression stress mode.
In some embodiments, optionally, based on seasonal difference in temperature and the difference in sunlight temperature of structure, extract the characteristic moment of temperature effect, acquire the structural response under the actual temperature effect operating mode, include: determining a structural seasonal temperature difference working condition and a sunlight temperature difference working condition; and extracting the characteristic moment of the temperature action, and acquiring the structural response under the actual temperature action working condition.
For example, when the seasonal temperature difference working condition is selected, the date that the rain and wind power are greater than level 2 is removed according to the official information of the weather bureau in order to reduce the influence of environmental effects such as wind and rain as much as possible; and meanwhile, the data integrity and accuracy of the data acquisition of the space steel structure health monitoring system are considered, and characteristic dates which can represent four seasons are selected. The lowest and highest temperature of the selected date are guaranteed to be continuous and consistent with the highest and lowest annual temperature as much as possible.
And when the sunshine temperature difference working condition is selected, the temperature change of the structure alternating day and night is considered, and different characteristic moments under each characteristic date are determined from the temperature acquisition angle.
Assuming that c acquisition moments are shared by one day and night, considering that temperature values acquired at adjacent times are close and the data volume is large, c acquisition moments are divided into c y Selecting a collection type represented by a collection time, and reducing the collection type to c y And (4) obtaining the action field of the non-uniform temperature field at each characteristic moment through finite element simulation at each characteristic moment. The measured temperature values G of the p measuring points at c collecting moments in a day and a night are as follows:
in the formula, T i,j When the collection time is i, the temperature actual measurement data of the actual measurement point j is acquired.
Taking the temperature measured value at each acquisition time as an initial class, wherein c initial classes are shared, and the class i uses H i Is represented by H i ＝G i (ii) a Using Euclidean distance d uv Characterizing any two initial classes H u And H v Obtaining a temperature difference distance matrix M at different acquisition moments:
finding two initial classes H with minimum temperature difference u' And H v' Merge H u' And H v' Is a new class H u* ：H u* ＝H u' ∪H v' Characterization of the merged New class H by mean distance u* To obtain an updated distance matrix M':
in the formula d u*v Is a new class H after combination u* And H v The magnitude of the difference.
And continuously merging the two classes with the minimum temperature difference, and updating the distance matrix until the temperatures at all the acquisition moments are merged into one large class. By this method, it is possible to findRegularity of temperature to sunlight according to expected classification number c y Dividing the acquisition time when the actually measured temperature is close to the same class by c y The non-uniform temperature action condition of each characteristic moment represents the temperature influence on the structure day and night.
In some embodiments, optionally, extracting features of the sub-member group, and screening the key component corresponding to the stress pattern of the sub-member group according to the features and a preset screening rule, includes:
extracting characteristic moments of temperature action based on the structural seasonal temperature difference and the sunlight temperature difference to obtain structural response under the actual temperature action working condition;
and extracting characteristic quantities of the classified rod pieces in the second stage, and screening key components in different stress modes according to a hierarchical clustering method.
For example, the characteristic amount of the tensile stress pattern may be set:
suppose n rods are at c y Stress value matrix under different temperature action working conditions
Comprises the following steps: />
In the formula y ij The stress value of the ith rod piece under the j temperature action working condition is shown.
From the strength angle of member, the key component under the screening tensile stress mode has the characteristics: the stress level is high, the stress fluctuation is greatly influenced by the temperature change, so the characteristic quantity selection comprises the following steps: maximum value of stress y max Stress amplitude y a Average value of stress y μ And standard deviation y of stress s ：
y max ＝max(Y i ) (23)
y a ＝max(Y i )-min(Y i ) (24)
In the formula, y max Is c y The stress maximum value of the ith rod piece under different temperature action working conditions; y is a Is c y The stress amplitude of the ith rod piece under different temperature action working conditions is obtained; y is μ Is c y The stress average value of the ith rod piece under different temperature action working conditions is obtained; y is s Is c y And the stress standard deviation of the ith rod piece under different temperature action working conditions.
Setting characteristic quantities of the compressive stress pattern:
obtaining n rod pieces at c by using an overall stable calculation formula y Stability value matrix under different temperature action working conditions
In the formula w ij The stable value of the ith rod piece under the action working condition of the jth temperature; n is the axle center pressure in the range of the component calculation section; a is the cross-sectional area of the component;
the stability coefficient of the axial center compression component in the bending moment action plane; beta is a mx The equivalent bending moment coefficient in a bending moment action plane; m x Calculating a maximum bending moment for the component over the segment; gamma ray x Is the section plasticity development coefficient; w 1,x The gross section modulus of the maximum compressed fiber; lambda [ alpha ] x Is the length-thin ratio of the component.
From two angles of strength and stability, the key component under the screening compressive stress mode has the characteristics of: high stress level and high stability index. Stress value matrix of working condition under temperature action
And a stable value matrix->
On the basis of (1), the selected characteristic quantity comprises: maximum value of stress y max Stress amplitude y a Stable maximum value w max And a steady amplitude w a ：
w max ＝max(W i ) (31)
w a ＝max(W i )-min(W i ) (32)
In the formula w max Is c y The stable maximum value of the ith rod piece under different temperature action working conditions is planted; w is a a Is c y And the stable amplitude of the ith rod piece under different temperature action working conditions.
The basic idea of the key component screening method based on hierarchical clustering is as follows: and on the basis of the rod piece characteristic quantity, the rod pieces under the same stress mode are divided into a plurality of categories, the rod piece characteristic quantity of the same category is similar in change, and the characteristics of different categories are extracted and analyzed, so that the key components with the same screening characteristics are positioned.
N x roots to be in different stress modesThe characteristic quantity matrix of the rod member is uniformly expressed as B, and when the rod member belongs to the tensile stress mode, B i ＝[b i1 ,b i2 ,b i3 ,b i4 ]＝[y max ,y a ,y μ ,y s ]When the rod member belongs to the compressive stress mode, B i ＝[b i1 ,b i2 ,b i3 ,b i4 ]＝[y max ,y a ,w max ,w a ]：
Since the difference between the respective characteristic quantities is large, in order to eliminate the influence of the order data, dispersion normalization processing is performed to obtain B':
taking the characteristic quantity standard value of each rod piece as an initial class, wherein n is the total number of the initial classes, and the ith class uses O i Is represented by O i ＝B' i (ii) a Using Euclidean distance d xy Characterizing any two initial classes O x And O y Obtaining a distance matrix N between the characteristic quantity standard values of any two rod pieces:
in the formula d xy Is an initial class O x And O y The similarity of (c).
Finding the distance between the feature quantitiesTwo initial classes O with minimum separation x' And O y' Merging of O x' And O y' Is a new class O x* ：O x* ＝O x' ∪O y' Characterization of the merged New class O by mean distance x* (ii) a Recalculating new class O x* Distance d from all other classes x*y That is, the smaller distance between the original two original classes and all other classes is selected as the similarity between the new class and other classes.
Updating the distance matrix, and deleting the initial class O of the distance matrix x' And O y' Corresponding rows and columns, and adding a new class O to the matrix x* Corresponding rows and columns, resulting in an updated distance matrix N':
d x*y ＝min{d x'y ,d y'y } (39)
in the formula d x*y Is a new class O after combination x* And O y The similarity of (c).
The two classes with the smallest distance between feature quantities are continuously merged until all the rods are merged into one class.
By using the method, the characteristic quantity tree diagram of n-root rod pieces belonging to the same stress mode is obtained, segmentation is carried out on specific levels, the classification result of the rod piece division is obtained, the characteristics of different classes are extracted, and therefore the key component in the stress mode is obtained according to the screening principle.
In this embodiment, a specific key component screening method for different stress modes is described:
characteristic quantities for the tensile stress mode:
stress value matrix Y of n rod pieces under f different temperature action working conditions n×f Is composed of
In the formula y ij -stress value of ith rod piece under jth temperature action working condition.
From the strength angle of member, the key component under the screening tensile stress mode has the characteristics: the stress level is high, the stress fluctuation is greatly influenced by the temperature change, so the characteristic quantity selection comprises the following steps: maximum value of stress y max Stress amplitude y a Stress average value y μ And stress standard deviation y s 。
Y i ＝[y i1 y i2 … y ij … y if ] (42)
y max ＝max(Y i ) (43)
y a ＝max(Y i )-min(Y i ) (44)
In the formula y max The stress maximum value of the ith rod piece under f different temperature action working conditions;
y a the stress amplitude of the ith rod piece under f different temperature action working conditions;
y μ the stress average value of the ith rod piece under f different temperature action working conditions;
y s -stress standard deviation of the ith rod piece under f different temperature action working conditions.
Characteristic amount of compressive stress mode:
obtaining a stability value matrix W of n rod pieces under f different temperature action working conditions by using an overall stable calculation formula n×f
In the formula w ij -the stable value of the ith rod piece under the action working condition of the jth temperature.
From two angles of strength and stability, the key component under the screening compressive stress mode has the characteristics of: high stress level and high stability index. Therefore, the stress value matrix Y of the working condition is acted on by the temperature n×f And a stable value matrix W n×f On the basis of (1), the selected characteristic quantities comprise: maximum value of stress y max Stress amplitude y a Stable maximum value w max And a steady amplitude w a
The screening principle of the key components of the tensile stress mode is as follows:
the standard values of the four characteristic quantities (stress maximum value, stress amplitude, average value and standard deviation) aiming at different rod piece categories are less than 0.5, the stress fluctuation range is small, and the rod piece is a common rod piece. The stress level fluctuation is high, the amplitude is large, and the rod piece is an important rod piece. The high stress rod has small stress fluctuation amplitude and is a common important rod piece. The stress value of the rod piece is large, and the stress fluctuation is influenced by the temperature change and is a key component of a tensile stress mode.
The key component screening principle of the compressive stress mode is as follows:
aiming at four characteristic quantities (stress maximum value, stress amplitude value, stable maximum value and stable amplitude value) of different rod piece categories, the rod piece has low stress level and small stability calculation index, and belongs to a common rod piece; the stress and the stable value are large, the change amplitude is small, or the stress value is large, the stable value is small, and the stress value and the stable value both belong to common important rod pieces; the rod stress level and stability calculation index is relatively large and is a key component of a pressure stress mode.
The method for screening the key components of the space steel structure provided by the embodiment of the invention comprises the following steps: determining a target rod piece group; acquiring the stress correspondence of a rod piece under the action of temperature, classifying the rod pieces in a target rod piece group according to the same stress mode based on the stress correspondence of the rod piece and the stress mode classification rule, and acquiring a sub-rod piece group; extracting the characteristics of the member bar groups, and screening the key components corresponding to the stress modes of the member bar groups according to the characteristics and preset screening rules. Thereby can excavate the different atress modes of structure member, screen the key component under the different atress modes, solve among the prior art space steel structure's design and safe handling and have not enough phenomenon, simultaneously, alleviate the contradiction of a small amount of sensor numbers and the large amount of member numbers of present ubiquitous, the rational arrangement problem of sensor when solving the component monitoring.
Based on a general inventive concept, the embodiment of the invention also provides a device for screening the key components of the space steel structure.
Fig. 3 is a schematic structural diagram of a spatial steel structure key member screening device provided in an embodiment of the present invention, and as shown in fig. 3, the device provided in the embodiment of the present invention may include the following structures: a determination module 31, a classification module 32 and a screening module 33.
The determining module 31 is configured to determine a target rod group;
the classification module 32 is used for acquiring the stress correspondence of the rod piece under the action of temperature, classifying the rod pieces in the target rod piece group according to the same stress mode based on the stress correspondence of the rod piece and the stress mode classification rule, and acquiring a sub-rod piece group;
and the screening module 33 is configured to extract features of the sub-bar group, and screen the key components corresponding to the stress mode of the sub-bar group according to the features and a preset screening rule.
Optionally, the classification module 32 is configured to obtain a stress response of the rod under the action of the temperature, and establish a stress proportion data set; according to the stress proportion data set, based on the stress state similarity, performing first-stage classification on the rod pieces in the target rod group to obtain a first-stage classification main guide rod, wherein the first-stage classification main guide rod comprises: the main guide rod for shaft stress, the main guide rod for bending stress and the main guide rod for shearing stress; constructing a response fluctuation evaluation index of the stress variation coefficient influenced by the temperature, and extracting a temperature sensitive rod piece from the main guide rods classified in the first stage according to the response fluctuation evaluation index and the temperature sensitivity difference; based on the different states of drawing and pressing of member, carry out the second stage classification to temperature sensitive member, acquire the categorised member of second stage, the categorised member of second stage includes: a tensile stress mode rod, a compressive stress mode rod, and a tensile and compressive stress mode rod.
With regard to the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.
The screening device for the key components of the space steel structure provided by the embodiment of the invention determines a target rod member group; acquiring the stress correspondence of a rod piece under the action of temperature, classifying the rod pieces in a target rod piece group according to the same stress mode based on the stress correspondence of the rod piece and the stress mode classification rule, and acquiring a sub-rod piece group; and extracting the characteristics of the sub-rod member group, and screening the key components corresponding to the stress mode of the sub-rod member group according to the characteristics and a preset screening rule. Thereby can excavate the different atress modes of structure member, screen the key component under the different atress modes, solve among the prior art space steel structure's design and safe handling and have not enough phenomenon, simultaneously, alleviate the contradiction of a small amount of sensor numbers and the number of the large-scale member numbers of present ubiquitous, the rational arrangement problem of sensor when solving the component monitoring.
Based on a general inventive concept, the embodiment of the invention also provides screening equipment for the key components of the space steel structure.
Fig. 4 is a schematic structural diagram of a spatial steel structure key member screening apparatus according to an embodiment of the present invention, and referring to fig. 4, the spatial steel structure key member screening apparatus according to the embodiment of the present invention includes: a processor 41, and a memory 42 coupled to the processor.
The memory 42 is used for storing a computer program, and the computer program is at least used for the method for screening the spatial steel structure key components described in any one of the above embodiments;
the processor 41 is used to invoke and execute computer programs in memory.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar contents in other embodiments may be referred to for the contents which are not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. A method for screening a key component of a space steel structure is characterized by comprising the following steps:
determining a target rod piece group;
acquiring a rod stress response of a temperature effect, classifying rods in the target rod group according to the same stress mode based on the rod stress response and a stress mode classification rule, and acquiring a sub-rod group, wherein the method comprises the following steps:
acquiring stress response of a rod under the action of temperature, and establishing a stress proportion data set;
according to the stress proportion data set, based on the similarity of stress states, carrying out first-stage classification on the rod pieces in the target rod piece group to obtain a first-stage classification main guide rod, wherein the first-stage classification main guide rod comprises: the main guide rod for shaft stress, the main guide rod for bending stress and the main guide rod for shearing stress;
constructing a response fluctuation evaluation index of the stress variation coefficient influenced by the temperature, and extracting a temperature sensitive rod piece from the main guide rod classified in the first stage according to the response fluctuation evaluation index and the temperature sensitivity difference;
based on different pulling and pressing states of the rods, performing second-stage classification on the temperature-sensitive rods to obtain second-stage classified rods, wherein the second-stage classified rods comprise: a tensile stress mode rod, a compressive stress mode rod and a tensile and compressive stress mode rod;
and extracting the characteristics of the sub-rod member group, and screening the key components corresponding to the stress mode of the sub-rod member group according to the characteristics and a preset screening rule.
2. The method according to claim 1, wherein the extracting the features of the sub-bar member group and screening the key components corresponding to the stress mode of the sub-bar member group according to the features and a preset screening rule comprises:
extracting the characteristic moment of the temperature action based on the structural seasonal temperature difference and the sunlight temperature difference, and acquiring the structural response under the actual temperature action working condition;
and extracting the characteristic quantity of the second-stage classified rod piece, and screening key components in different stress modes according to a hierarchical clustering method.
3. The method according to claim 1, wherein the constructing a response fluctuation evaluation index of the temperature-affected stress variation coefficient, and the extracting the temperature-sensitive bar from the first-stage classification main bar according to the response fluctuation evaluation index and the temperature-sensitive difference comprises:
determining component responses under different temperature action conditions;
establishing a response fluctuation evaluation index influenced by temperature;
and extracting the temperature-sensitive rod piece from the main guide rods classified in the first stage according to the response fluctuation evaluation index and the temperature-sensitive difference.
4. The method of claim 1, wherein the second-stage classification of the temperature-sensitive rods based on different tension/compression states of the rods is performed to obtain second-stage classification rods, and the second-stage classification rods comprise: tensile stress mode member, compressive stress mode member and tensile compressive stress mode member include:
and based on the principle that the axial stress is positive in tension and negative in compression, classifying the temperature sensitive rods in the second stage from the tension-compression state of the rods to obtain a tension stress mode rod, a compression stress mode rod and a tension-compression stress mode rod.
5. The method of claim 2, wherein extracting the characteristic moment of the temperature action based on the seasonal temperature difference of the structure and the solar temperature difference to obtain the structural response under the actual temperature action condition comprises:
determining a structural seasonal temperature difference working condition and a sunlight temperature difference working condition;
based on seasonal difference in temperature operating mode of structure and sunshine difference in temperature operating mode, draw the characteristic moment of temperature effect, acquire the structural response under the actual temperature effect operating mode.
6. The method according to claim 4, wherein the extracting the features of the sub-member groups and screening the key components corresponding to the stress patterns of the sub-member groups according to the features and the preset screening rules comprise:
and setting characteristic quantities of the tensile stress mode rod piece and the compressive stress mode rod piece, and screening key components in different stress modes by using a hierarchical clustering method.
7. The utility model provides a spatial steel structure key member sieving mechanism which characterized in that includes: the device comprises a determining module, a classifying module and a screening module;
the determining module is used for determining a target rod member group;
the classification module is used for acquiring the stress response of the rod piece under the action of temperature, classifying the rod pieces in the target rod piece group according to the same stress mode based on the stress response of the rod piece and the stress mode classification rule, acquiring a sub-rod piece group, specifically acquiring the stress response of the rod piece under the action of temperature, and establishing a stress ratio data set; according to the stress proportion data set, carrying out first-stage classification on the rod pieces in the target rod piece group based on the stress state similarity to obtain a first-stage classification main guide rod, wherein the first-stage classification main guide rod comprises: the main guide rod for shaft stress, the main guide rod for bending stress and the main guide rod for shearing stress; constructing a response fluctuation evaluation index of the stress variation coefficient influenced by the temperature, and extracting a temperature sensitive rod piece from the main guide rod classified in the first stage according to the response fluctuation evaluation index and the temperature sensitivity difference; based on different tension and compression states of the rod pieces, performing second-stage classification on the temperature sensitive rod pieces to obtain second-stage classified rod pieces, wherein the second-stage classified rod pieces comprise: a tensile stress mode rod, a compressive stress mode rod and a tensile and compressive stress mode rod;
the screening module is used for extracting the characteristics of the sub-rod member group and screening the key components corresponding to the stress mode of the sub-rod member group according to the characteristics and a preset screening rule.
8. The utility model provides a space steel structure key member screening installation which characterized in that includes: a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the spatial steel structure key component screening method of any one of claims 1 to 6;
the processor is configured to invoke and execute the computer program in the memory.
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