CN109284574A - A kind of series connection truss structure system Multidisciplinary systems analysis method - Google Patents

A kind of series connection truss structure system Multidisciplinary systems analysis method Download PDF

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CN109284574A
CN109284574A CN201811247772.XA CN201811247772A CN109284574A CN 109284574 A CN109284574 A CN 109284574A CN 201811247772 A CN201811247772 A CN 201811247772A CN 109284574 A CN109284574 A CN 109284574A
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truss structure
series connection
structure system
space
failure
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CN109284574B (en
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乔心州
王兵
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Xian University of Science and Technology
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Abstract

The invention discloses a kind of series connection truss structure system Multidisciplinary systems analysis methods, comprising steps of the power function of one, determining series connection each failure mode of truss structure system;Two, the multidimensional ellipsoidal model for describing uncertain variable is established;Three, the multidimensional for obtaining uncertain variable normalizes ellipsoidal model of equal value;Four, the hyper-sphere model of uncertain variable is obtained;Five, the volume of unit of account hyper-sphere model;Six, the wide boundary of the failure domain total volume of series connection truss structure system is obtained;Seven, the narrow boundary of the failure domain total volume of series connection truss structure system is obtained;Eight, the value range of the non-probability failure degree of series connection truss structure system is calculated;Nine, the value range of the non-probability decision degree of series connection truss structure system is calculated.The present invention considerably reduces the workload solved in the non-probability decision degree of series connection truss structure system by the width boundary interval estimation of the failure domain total volume of series connection truss structure system, provides relatively accurate reasonable estimated value.

Description

A kind of series connection truss structure system Multidisciplinary systems analysis method
Technical field
The invention belongs to truss Multidisciplinary systems analysis technical fields, and in particular to a kind of series connection truss structure system is non- Probability and reliability analysis method.
Background technique
The truss structure that truss is made of many rod pieces is evenly distributed with its internal force, reduces material consumption and structure certainly The advantages that heavy and light and be widely used in the fields such as mechanical, building, building and aerospace.In Truss Design and manufacturing process, Often there is uncertain informations relevant to load, material property, geometric dimension and boundary condition etc., need giving for science Consider.Analysis method for reliability is one of the effective way for handling above-mentioned uncertain information, therefore probabilistic reliability method obtains It is widely applied.However, in many engineering practical structures problems, for determining the distribution parameter or probability of probabilistic reliability model What the sample information of density function was usually a lack of, in this context, it is only necessary to know boundary or the variation model of uncertain parameter The Multidisciplinary systems analysis method of security evaluation can be carried out to it by, which enclosing, is gradually proposed.Existing structure Multidisciplinary systems It is for single failure mode that analysis is mostly, and such as Once approximate method and quadratic approximation, and truss structure is a typical tandem junction Structure multi-invalidation mode system, in theory, Monte Carlo can provide the Multidisciplinary systems point of series connection truss structure system The accurate solution of analysis, but it causes solution efficiency lower because amount of calculation is huge, therefore nowadays lacks a kind of effective string Copula frame structural body system Multidisciplinary systems analysis method.
Summary of the invention
In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is that providing a kind of series connection truss Structural system Multidisciplinary systems analysis method passes through the width boundary section of the failure domain total volume of series connection truss structure system Estimation considerably reduces the workload solved in the non-probability decision degree of series connection truss structure system, and it is relatively accurate reasonable to provide Estimated value, give the structural system Multidisciplinary systems analysis for more meeting actual requirement of engineering as a result, widely applicable and answer It is extensive with prospect, convenient for promoting the use of.
In order to solve the above technical problems, the technical solution adopted by the present invention is that: a kind of non-probability of series connection truss structure system Analysis method for reliability, which is characterized in that method includes the following steps:
Step 1: determining the power function of series connection each failure mode of truss structure system: using truss structure failure criteria Determine the power function g of series connection each failure mode of truss structure systemi(X), wherein i is the number of structural system failure mode And i=1,2 ..., I, I are the number of structural system failure mode, X is uncertain variable vector and X=(X1,X2,..., Xm)T, m is the dimension that uncertain variable number and m are equal to the uncertain variable vector X, XlFor first of uncertain variable, l is that the value range of positive integer and l are 1~m,Indicate first of uncertain variable Xl The section of value,Xl For uncertain variable XlLower bound,For uncertain variable XlThe upper bound;
Step 2: establishing the multidimensional ellipsoidal model for describing uncertain variable: being become using data processor to uncertainty Amount establishes multidimensional ellipsoidal model, obtains multidimensional ellipsoidal model Wherein, vector X0For multidimensional ellipsoid do not know domain central point vector and It is not true for first Qualitative variable XlValue interval midpoint, ΩxFor for determining the eigenmatrix of the shape of multidimensional ellipsoid and the multidimensional ellipsoid in direction AndZllFirst of uncertainty when to determine multidimensional ellipsoidal model according to NATAF method Variable XlWith first of uncertain variable XlCovariance, RmFor the real number field of m dimension;
Step 3: the multidimensional for obtaining uncertain variable normalizes ellipsoidal model of equal value, process is as follows:
The normalized of step 301, uncertain variable vector: according to formulaIt obtains uncertain The uncertain variable normalized vector U of property variable vector X, wherein U=(U1,U2,...,Um)T, UlFor first of uncertainty Variable XlCorresponding normalization variable,For first of uncertain variable XlSection radius and
Step 302, the multidimensional for constructing uncertain variable normalize ellipsoidal model of equal value: using data processor to uncertain Property variable normalized vector U construct the multidimensional of uncertain variable and normalize ellipsoidal model of equal value ΩuFor uncertain variable normalized vector U normalization space u in determine multidimensional ellipsoid eigenmatrix and For withDiagonal matrix is tieed up for the m of diagonal element;
Step 4: obtaining the hyper-sphere model of uncertain variable, process is as follows:
Step 401, to uncertain variable normalized vector U normalization space u in determine multidimensional ellipsoid spy Levy matrix ΩuCholeskey decomposition is carried out, i.e.,Wherein, L0Lower three angular moment decomposed for Choleskey Battle array;
Step 402 is normalized ellipsoidal model of equal value and converts to obtain uncertain variable and exists using data processor to multidimensional Unit hyper-sphere model E in the space normed space δδ=δ | δTδ≤1,δ∈Rm, wherein δ be uncertain variable normalize to Measure U the space normed space δ standardized vector and The dimension in the space normed space δ is m, δlTo normalize variable UlStandardized variable in the space normed space δ;
Obtain the relationship between the standardized vector δ in uncertain variable vector X and the space normed space δ:
To the power function g of series connection each failure mode of truss structure systemi(X) it is deformed in the space normed space δ Processing, obtains the Structural functional equation g of the failure mode in the space normed space δi(δ);
Step 5: according to formulaUnit of account hyper-sphere model EδVolume VAlways, wherein Γ () is Gamma function;
Step 6: obtaining the wide boundary of the failure domain total volume of series connection truss structure system: in normed space, when i-th The Structural functional equation g of a failure modeiThe curved surface and unit hyper-sphere model E that (δ) is constitutedδIt is empty using normed space δ when intersection Between failure mode Structural functional equation giPoint and unit hyper-sphere model E on the curved surface that (δ) is constitutedδThe distance between origin is most Small value calculates the Structural functional equation g of the failure mode in the space normed space δi(δ) corresponding failure domain volume Vi
According to wide bound method formulaThe failure domain for calculating series connection truss structure system is overall Product VF, alwaysWide boundary, wherein
Step 7: obtaining the narrow boundary of the failure domain total volume of series connection truss structure system: to failure domain volume ViMiddle I The corresponding failure domain volume of failure mode carries out sorting from large to small adjustment, the failure domain volume W=(W after being adjusted1, W2,...,WI)T, wherein W1~WIFor V1~VIIt is sorting from large to small as a result, i.e. W1>W2>...>WI, W1=max (Vi), WI= min(Vi);
According to narrow bound method formula Calculate the failure domain total volume V of series connection truss structure systemF, alwaysNarrow boundary,It fails for the i-th failure mode and jth The total failure domain of mode;
Step 8: calculating series connection truss structure system according to the narrow boundary of the failure domain total volume of series connection truss structure system Non- probability failure degree value range ηs,F, wherein
Step 9: according to formula ηs,R=1- ηs,F, calculate the value model of the non-probability decision degree of series connection truss structure system Enclose ηs,R
Above-mentioned a kind of series connection truss structure system Multidisciplinary systems analysis method, it is characterised in that: described uncertain Property variable number m be not less than 2;
As m=2, unit hyper-sphere model EδFor unit circle, the Structural functional equation of the failure mode in the space normed space δ giThe two-dimentional arch surface that the curved surface and unit circle that (δ) is constituted are crossed to form, fail domain volume V at this timeiWith the area of two-dimentional arch surfaceIt indicates, wherein h is the height of two-dimentional arch surface;
As m=3, unit hyper-sphere model EδFor unit sphere, the structure function letter of the failure mode in the space normed space δ Number giThe three-dimensional segment that the curved surface and unit sphere that (δ) is constituted are crossed to form, fail domain volume V at this timeiWith the volume of three-dimensional segmentIt indicates, wherein h' is the height of three-dimensional segment;
As m >=4, unit hyper-sphere model EδHypersphere, the structure function letter of the failure mode in the space normed space δ are tieed up for m Number giThe m dimension hypersphere that curved surface and m the dimension hypersphere that (δ) is constituted are crossed to form lacks, and fail domain volume V at this timeiWith the scarce body of m dimension hypersphere ProductIt indicates, wherein h " is that m ties up what hypersphere lacked It is high.
A kind of above-mentioned series connection truss structure system Multidisciplinary systems analysis method, it is characterised in that: the series connection purlin The power function g of each failure mode of frame structural body systemi(X)=0 it is known as failure critical surface, when series connection truss structure system respectively fails The power function g of modei(X) < 0 when, series connection truss structure system failure;When the function of series connection each failure mode of truss structure system It can function gi(X) >=0 when, series connection truss structure system safety.
Above-mentioned a kind of series connection truss structure system Multidisciplinary systems analysis method, it is characterised in that: described uncertain Property variable includes dead load, dynamic loading, length, width, elasticity modulus.
A kind of above-mentioned series connection truss structure system Multidisciplinary systems analysis method, it is characterised in that: i-th failure The total failure domain of mode and jth failure modeIt is acquired by numerical integration.
Compared with the prior art, the present invention has the following advantages:
1, the present invention is normalized by the multidimensional ellipsoidal model to uncertain variable, obtains uncertain change The multidimensional of amount normalizes ellipsoidal model of equal value, solves when the magnitude difference in uncertain variable vector between each variable is larger When, there is the problem of serious morbid state in the eigenmatrix of multidimensional ellipsoidal model, guarantees the essence of calculated result in numerical procedure It is all having the same to guarantee that the multidimensional after normalized normalizes all elements in the eigenmatrix of ellipsoidal model of equal value for degree Magnitude, convenient for promoting the use of.
2, the width boundary interval estimation that the present invention passes through the failure domain total volume of series connection truss structure system, wherein string The wide boundary interval estimation of the failure domain total volume of copula frame structural body system fails domain volume by single failure mode to estimate to lose Domain is imitated, then further consideration multi-mode fails domain the narrow boundary interval estimation of the failure domain total volume for truss structure system of connecting altogether Narrower interval estimation range is given, corresponding Multidisciplinary systems Measure Indexes, reliable and stable, using effect are defined It is good.
3, the method for the present invention step is simple, has fully considered engineering actual demand, has given and more meet actual requirement of engineering The analysis of structural system Multidisciplinary systems as a result, widely applicable and application prospect is extensive, greatly simplifie series connection truss knot The workload that structure system failure domain volume calculates effectively compensates for the prior art and is only capable of carrying out the structure under single failure mode The deficiency of Multidisciplinary systems analysis, has expanded the range of structure Multidisciplinary systems analysis method, to the reliable of structural system Property analysis have very important significance, convenient for promote the use of.
In conclusion width boundary interval estimation of the present invention by the failure domain total volume of series connection truss structure system, The workload solved in the non-probability decision degree of series connection truss structure system is considerably reduced, relatively accurate reasonable estimation is provided Value gives the structural system Multidisciplinary systems analysis for more meeting actual requirement of engineering as a result, widely applicable and application prospect Extensively, convenient for popularization and use.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
Fig. 1 is method flow block diagram of the invention.
Fig. 2 is the structural schematic diagram of series connection truss structure system in the present embodiment.
Fig. 3 is the Structural functional equation g of the failure mode in the present embodiment Plays space space δi(δ) constitute curved surface with Unit hyper-sphere model EδIntersect schematic diagram.
Specific embodiment
As shown in Figure 1 to Figure 3, a kind of series connection truss structure system Multidisciplinary systems analysis method of the invention, including Following steps:
Step 1: determining the power function of series connection each failure mode of truss structure system: using truss structure failure criteria Determine the power function g of series connection each failure mode of truss structure systemi(X), wherein i is the number of structural system failure mode And i=1,2 ..., I, I are the number of structural system failure mode, X is uncertain variable vector and X=(X1,X2,..., Xm)T, m is the dimension that uncertain variable number and m are equal to the uncertain variable vector X, XlFor first of uncertain variable, l is that the value range of positive integer and l are 1~m,Indicate first of uncertain variable Xl The section of value,Xl For uncertain variable XlLower bound,For uncertain variable XlThe upper bound;
In the present embodiment, the uncertainty variable includes dead load, dynamic loading, length, width, elasticity modulus.
In the present embodiment, the power function g of series connection each failure mode of truss structure systemi(X)=0 it is known as failure to face Interface, as the power function g of series connection each failure mode of truss structure systemi(X) < 0 when, series connection truss structure system failure;When The power function g for each failure mode of truss structure system of connectingi(X) >=0 when, series connection truss structure system safety.
Step 2: establishing the multidimensional ellipsoidal model for describing uncertain variable: being become using data processor to uncertainty Amount establishes multidimensional ellipsoidal model, obtains multidimensional ellipsoidal model Wherein, vector X0For multidimensional ellipsoid do not know domain central point vector and It is not true for first Qualitative variable XlValue interval midpoint, ΩxFor for determining the eigenmatrix of the shape of multidimensional ellipsoid and the multidimensional ellipsoid in direction AndZllFirst of uncertainty when to determine multidimensional ellipsoidal model according to NATAF method Variable XlWith first of uncertain variable XlCovariance, RmFor the real number field of m dimension;
Step 3: the multidimensional for obtaining uncertain variable normalizes ellipsoidal model of equal value, process is as follows:
The normalized of step 301, uncertain variable vector: according to formulaIt obtains uncertain The uncertain variable normalized vector U of property variable vector X, wherein U=(U1,U2,...,Um)T, UlFor first of uncertainty Variable XlCorresponding normalization variable,For first of uncertain variable XlSection radius and
Step 302, the multidimensional for constructing uncertain variable normalize ellipsoidal model of equal value: using data processor to uncertain Property variable normalized vector U construct the multidimensional of uncertain variable and normalize ellipsoidal model of equal value ΩuFor uncertain variable normalized vector U normalization space u in determine multidimensional ellipsoid eigenmatrix and For withDiagonal matrix is tieed up for the m of diagonal element;
It should be noted that being normalized by the multidimensional ellipsoidal model to uncertain variable, obtain not really The multidimensional of qualitative variable normalizes ellipsoidal model of equal value, solves when the magnitude difference in uncertain variable vector between each variable When larger, there is the problem of serious morbid state in the eigenmatrix of multidimensional ellipsoidal model, guarantees calculated result in numerical procedure Precision, guarantee that the multidimensional after normalized normalizes all elements in the eigenmatrix of ellipsoidal model of equal value and all has phase Same magnitude, convenient for promoting the use of.
Step 4: obtaining the hyper-sphere model of uncertain variable, process is as follows:
Step 401, to uncertain variable normalized vector U normalization space u in determine multidimensional ellipsoid spy Levy matrix ΩuCholeskey decomposition is carried out, i.e.,Wherein, L0Lower three angular moment decomposed for Choleskey Battle array;
Step 402 is normalized ellipsoidal model of equal value and converts to obtain uncertain variable and exists using data processor to multidimensional Unit hyper-sphere model E in the space normed space δδ=δ | δTδ≤1,δ∈Rm, wherein δ be uncertain variable normalize to Measure U the space normed space δ standardized vector and The dimension in the space normed space δ is m, δlTo normalize variable UlStandardized variable in the space normed space δ;
Obtain the relationship between the standardized vector δ in uncertain variable vector X and the space normed space δ:
To the power function g of series connection each failure mode of truss structure systemi(X) it is deformed in the space normed space δ Processing, obtains the Structural functional equation g of the failure mode in the space normed space δi(δ);
Step 5: according to formulaUnit of account hyper-sphere model EδVolume VAlways, wherein Γ () is Gamma function;
Step 6: obtaining the wide boundary of the failure domain total volume of series connection truss structure system: in normed space, when i-th The Structural functional equation g of a failure modeiThe curved surface and unit hyper-sphere model E that (δ) is constitutedδIt is empty using normed space δ when intersection Between failure mode Structural functional equation giPoint and unit hyper-sphere model E on the curved surface that (δ) is constitutedδThe distance between origin is most Small value calculates the Structural functional equation g of the failure mode in the space normed space δi(δ) corresponding failure domain volume Vi
According to wide bound method formulaThe failure domain for calculating series connection truss structure system is overall Product VF, alwaysWide boundary, wherein
In the present embodiment, the uncertainty variable number m is not less than 2;
As m=2, unit hyper-sphere model EδFor unit circle, the Structural functional equation of the failure mode in the space normed space δ giThe two-dimentional arch surface that the curved surface and unit circle that (δ) is constituted are crossed to form, fail domain volume V at this timeiWith the area of two-dimentional arch surfaceIt indicates, wherein h is the height of two-dimentional arch surface;
As m=3, unit hyper-sphere model EδFor unit sphere, the structure function letter of the failure mode in the space normed space δ Number giThe three-dimensional segment that the curved surface and unit sphere that (δ) is constituted are crossed to form, fail domain volume V at this timeiWith the volume of three-dimensional segmentIt indicates, wherein h' is the height of three-dimensional segment;
As m >=4, unit hyper-sphere model EδHypersphere, the structure function letter of the failure mode in the space normed space δ are tieed up for m Number giThe m dimension hypersphere that curved surface and m the dimension hypersphere that (δ) is constituted are crossed to form lacks, and fail domain volume V at this timeiWith the scarce body of m dimension hypersphere ProductIt indicates, wherein h " is that m ties up what hypersphere lacked It is high.
Step 7: obtaining the narrow boundary of the failure domain total volume of series connection truss structure system: to failure domain volume ViMiddle I The corresponding failure domain volume of failure mode carries out sorting from large to small adjustment, the failure domain volume W=(W after being adjusted1, W2,...,WI)T, wherein W1~WIFor V1~VIIt is sorting from large to small as a result, i.e. W1>W2>...>WI, W1=max (Vi), WI= min(Vi);
According to narrow bound method formula Calculate the failure domain total volume V of series connection truss structure systemF, alwaysNarrow boundary,It fails for the i-th failure mode and jth The total failure domain of mode;
In the present embodiment, the total failure domain of i-th failure mode and jth failure modePass through numerical integration It acquires.
It should be noted that the width boundary interval estimation of the failure domain total volume by series connection truss structure system, In, the wide boundary interval estimation of the failure domain total volume for truss structure system of connecting fails domain volume by single failure mode to estimate Meter failure domain, the narrow boundary interval estimation of the failure domain total volume for truss structure system of connecting then further consider that multi-mode is lost altogether Effect domain gives narrower interval estimation range, defines corresponding Multidisciplinary systems Measure Indexes, reliable and stable, uses effect Fruit is good.
Step 8: calculating series connection truss structure system according to the narrow boundary of the failure domain total volume of series connection truss structure system Non- probability failure degree value range ηs,F, wherein
Step 9: according to formula ηs,R=1- ηs,F, calculate the value model of the non-probability decision degree of series connection truss structure system Enclose ηs,R
As shown in Fig. 2, in the present embodiment, it is not true there are three in 5 bar truss structures by taking plane 5 rods truss structure as an example Determine variable X1、X2And X3, three uncertain variables X1、X2And X3It is load, the allowable stress of No. 1 bar is 240kN, No. 2 bars Allowable stress is 200kN, and the allowable stress of No. 3 bars is 280kN, and the allowable stress of No. 4 bars is 280kN, the allowable stress of No. 5 bars For 180kN, three uncertain variables X1、X2And X3Related coefficientWith0.2 is taken, three uncertain Variable X1、X2And X3Value table it is as shown in table 1.
Table 1
The power function g of the failure mode of 5 bars is determined in MATLAB using truss structure failure criteriai(X), wherein
The power function of the failure mode of No. 1 bar
The power function of the failure mode of No. 2 bars
The power function of the failure mode of No. 3 bars
The power function of the failure mode of No. 4 bars
The power function of the failure mode of No. 5 bars
The eigenmatrix of the multidimensional ellipsoid of uncertain variable vector X is determined according to NATAF method
Then multidimensional ellipsoidal model
In order to effectively overcome interference caused by eigenmatrix pathosis, multidimensional ellipsoidal model is normalized, is obtainedTo uncertain variable normalized vector U normalization space u in feature Matrix ΩuCholeskey decomposition is carried out, i.e., Matrix after decomposition is substituted into multidimensional to normalize in ellipsoidal model of equal value, is obtained
Then, unit hyper-sphere model of the uncertain variable in the space normed space δ is represented by
Deformation process is carried out in the space normed space δ to uncertain variable normalized vector U, is obtained
To the power function g of series connection each failure mode of truss structure systemi(X) it is deformed in the space normed space δ Processing, obtains the Structural functional equation of the failure mode of No. 1 bar in the space normed space δ
The bar of the space normed space δ 2 The Structural functional equation of failure modeNormed space The Structural functional equation of the failure mode of No. 3 bars in the space δ
Standard null Between No. 4 bars in the space δ failure mode Structural functional equation
Standard null Between No. 5 bars in the space δ failure mode Structural functional equation
Unit hyper-sphere model EδVolume
M takes 3 in the present embodiment, unit hyper-sphere model EδFor unit sphere, the structure of the failure mode in the space normed space δ Power function giThe three-dimensional segment that the plane and unit sphere that (δ) is constituted are crossed to form, fail domain volume V at this timeiWith three-dimensional segment VolumeIt indicates, wherein h' is the height of three-dimensional segment;
By the Structural functional equation g of the failure mode in the space normed space δiThe curved surface and unit hyper-sphere model E that (δ) is constitutedδ Intersected, utilizes the Structural functional equation g of the failure mode in the space normed space δiPoint and unit are super on the curved surface that (δ) is constituted Spherical model EδThe distance between origin minimum value calculates the Structural functional equation g of the failure mode in the space normed space δi(δ) is corresponding Failure domain volume Vi, ginseng is shown in Table 2.
Table 2
Failure mode Segment radius r The high h' of segment Fail domain volume
gδ1 1 0.1458 0.0635
gδ2 1 0.2648 0.2007
gδ3 1 0.5254 0.7150
gδ4 1 0.3893 0.4143
gδ5 1 0.3656 0.3686
According to wide bound method formulaThe failure domain for calculating series connection truss structure system is overall Product VF, alwaysWide boundaryMust fail domain total volume VF, alwaysWide boundary are as follows: 0.7150≤VF, always≤ 1.7621。
To failure domain volume ViThe corresponding failure domain volume of middle I failure mode carries out sorting from large to small adjustment, obtains Failure domain volume W=(W adjusted1,W2,...,WI)T=(0.7150,0.4143,0.3686,0.2007,0.0635)T, root According to narrow bound method formulaCalculate series connection purlin The failure domain total volume V of frame structural body systemF, alwaysNarrow boundary, must fail domain total volume VF, alwaysNarrow boundary are as follows: 0.8654≤VF, always ≤0.9115。
The non-general of series connection truss structure system is calculated according to the narrow boundary of the failure domain total volume of series connection truss structure system The value range of rate failure degreeObtain 19.35%≤ηs,F≤ 20.38%, therefore, in the present embodiment, truss of connecting The value range η of the non-probability decision degree of structural systems,RAre as follows: 79.62%≤ηs,R≤ 80.65%.
The present invention gives the structural body for more meeting actual requirement of engineering in use, fully considered engineering actual demand It is Multidisciplinary systems analysis as a result, widely applicable and application prospect is extensive, greatly simplifies series connection truss structure system and lose The workload that domain volume calculates is imitated, effectively compensating for that the prior art is only capable of carrying out non-probability to the structure under single failure mode can By the deficiency of property analysis, the range of structure Multidisciplinary systems analysis method has been expanded, has been had to the fail-safe analysis of structural system There is very important meaning, convenient for promoting the use of.
The above is only presently preferred embodiments of the present invention, is not intended to limit the invention in any way, it is all according to the present invention Technical spirit any simple modification to the above embodiments, change and equivalent structural changes, still fall within skill of the present invention In the protection scope of art scheme.

Claims (5)

1. a kind of series connection truss structure system Multidisciplinary systems analysis method, which is characterized in that method includes the following steps:
Step 1: determining the power function of series connection each failure mode of truss structure system: being determined using truss structure failure criteria The power function g for each failure mode of truss structure system of connectingi(X), wherein i is the number and i=of structural system failure mode 1,2 ..., I, I are the number of structural system failure mode, and X is uncertain variable vector and X=(X1,X2,...,Xm)T, m For uncertain variable number and m is equal to the dimension of the uncertain variable vector X,XlIt is L uncertain variable, l are that the value range of positive integer and l are 1~m,Indicate first of uncertain variable XlValue Section,Xl For uncertain variable XlLower bound,For uncertain variable XlThe upper bound;
Step 2: establishing the multidimensional ellipsoidal model for describing uncertain variable: being built using data processor to uncertain variable Vertical multidimensional ellipsoidal model, obtains multidimensional ellipsoidal modelIts In, vector X0For multidimensional ellipsoid do not know domain central point vector and For first of uncertainty Variable XlValue interval midpoint, ΩxFor for determine the shape of multidimensional ellipsoid and the multidimensional ellipsoid in direction eigenmatrix andZllFirst of uncertain change when to determine multidimensional ellipsoidal model according to NATAF method Measure XlWith first of uncertain variable XlCovariance, RmFor the real number field of m dimension;
Step 3: the multidimensional for obtaining uncertain variable normalizes ellipsoidal model of equal value, process is as follows:
The normalized of step 301, uncertain variable vector: according to formulaObtain uncertain become Measure the uncertain variable normalized vector U of vector X, wherein U=(U1,U2,...,Um)T, UlFor first of uncertain variable XlCorresponding normalization variable,For first of uncertain variable XlSection radius and
Step 302, the multidimensional for constructing uncertain variable normalize ellipsoidal model of equal value: using data processor to uncertain variable The multidimensional that normalized vector U constructs uncertain variable normalizes ellipsoidal model of equal value ΩuFor uncertain variable normalized vector U normalization space u in determine multidimensional ellipsoid eigenmatrix and For withDiagonal matrix is tieed up for the m of diagonal element;
Step 4: obtaining the hyper-sphere model of uncertain variable, process is as follows:
Step 401, to uncertain variable normalized vector U normalization space u in determine multidimensional ellipsoid feature square Battle array ΩuCholeskey decomposition is carried out, i.e.,Wherein, L0The lower triangular matrix decomposed for Choleskey;
Step 402 converts to obtain uncertain variable in standard to multidimensional normalization ellipsoidal model of equal value using data processor Unit hyper-sphere model E in the space δ of spaceδ=δ | δTδ≤1,δ∈Rm, wherein δ is uncertain variable normalized vector U The space normed space δ standardized vector and The dimension in the space normed space δ is m, δlTo normalize variable UlStandardized variable in the space normed space δ;
Obtain the relationship between the standardized vector δ in uncertain variable vector X and the space normed space δ:
To the power function g of series connection each failure mode of truss structure systemi(X) deformation process is carried out in the space normed space δ, Obtain the Structural functional equation g of the failure mode in the space normed space δi(δ);
Step 5: according to formulaUnit of account hyper-sphere model EδVolume VAlways, wherein Γ () is Gamma function;
Step 6: obtaining the wide boundary of the failure domain total volume of series connection truss structure system: in normed space, being lost when i-th The Structural functional equation g of effect modeiThe curved surface and unit hyper-sphere model E that (δ) is constitutedδWhen intersection, the space normed space δ is utilized The Structural functional equation g of failure modeiPoint and unit hyper-sphere model E on the curved surface that (δ) is constitutedδThe distance between origin minimum value Calculate the Structural functional equation g of the failure mode in the space normed space δi(δ) corresponding failure domain volume Vi
According to wide bound method formulaCalculate the failure domain total volume of series connection truss structure system VF, alwaysWide boundary, wherein
Step 7: obtaining the narrow boundary of the failure domain total volume of series connection truss structure system: to failure domain volume ViMiddle I failure The corresponding failure domain volume of mode carries out sorting from large to small adjustment, the failure domain volume W=(W after being adjusted1,W2,..., WI)T, wherein W1~WIFor V1~VIIt is sorting from large to small as a result, i.e. W1>W2>...>WI, W1=max (Vi), WI=min (Vi);
According to narrow bound method formulaIt calculates The failure domain total volume V for truss structure system of connectingF, alwaysNarrow boundary,For the i-th failure mode and jth failure mode Total failure domain;
Step 8: calculating the non-of series connection truss structure system according to the narrow boundary of the failure domain total volume of series connection truss structure system The value range η of probability failure degrees,F, wherein
Step 9: according to formula ηs,R=1- ηs,F, calculate the value range of the non-probability decision degree of series connection truss structure system ηs,R
2. a kind of series connection truss structure system Multidisciplinary systems analysis method described in accordance with the claim 1, it is characterised in that: The uncertainty variable number m is not less than 2;
As m=2, unit hyper-sphere model EδFor unit circle, the Structural functional equation g of the failure mode in the space normed space δi(δ) The two-dimentional arch surface that the curved surface and unit circle of composition are crossed to form, fail domain volume V at this timeiWith the area of two-dimentional arch surfaceIt indicates, wherein h is the height of two-dimentional arch surface;
As m=3, unit hyper-sphere model EδFor unit sphere, the Structural functional equation g of the failure mode in the space normed space δi The three-dimensional segment that the curved surface and unit sphere that (δ) is constituted are crossed to form, fail domain volume V at this timeiWith the volume of three-dimensional segmentIt indicates, wherein h' is the height of three-dimensional segment;
As m >=4, unit hyper-sphere model EδHypersphere, the Structural functional equation g of the failure mode in the space normed space δ are tieed up for mi The m dimension hypersphere that curved surface and m the dimension hypersphere that (δ) is constituted are crossed to form lacks, and fail domain volume V at this timeiWith the scarce volume of m dimension hypersphereIt indicates, wherein h " is that m ties up what hypersphere lacked It is high.
3. a kind of series connection truss structure system Multidisciplinary systems analysis method described in accordance with the claim 1, it is characterised in that: The power function g of series connection each failure mode of truss structure systemi(X)=0 it is known as failure critical surface, when series connection truss structure The power function g of each failure mode of systemi(X) < 0 when, series connection truss structure system failure;When series connection truss structure system is respectively lost The power function g of effect modei(X) >=0 when, series connection truss structure system safety.
4. a kind of series connection truss structure system Multidisciplinary systems analysis method described in accordance with the claim 1, it is characterised in that: The uncertainty variable includes dead load, dynamic loading, length, width, elasticity modulus.
5. a kind of series connection truss structure system Multidisciplinary systems analysis method described in accordance with the claim 1, it is characterised in that: The total failure domain of i-th failure mode and jth failure modeIt is acquired by numerical integration.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110135063A (en) * 2019-05-15 2019-08-16 西安科技大学 A kind of non-probability failure degree calculation method of series connection truss structure system
CN110895639A (en) * 2019-11-27 2020-03-20 河北工业大学 Robot system reliability analysis method based on Gaussian multi-ellipsoid model
CN113901665A (en) * 2021-10-20 2022-01-07 北京工业大学 Time-varying reliability accurate analysis method based on condition crossing rate
CN117556642A (en) * 2024-01-12 2024-02-13 南昌矿机集团股份有限公司 Cone crusher productivity reliability analysis method considering uncertainty
CN113901665B (en) * 2021-10-20 2024-10-25 北京工业大学 Time-varying reliability accurate analysis method based on conditional ride-through rate

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090083014A1 (en) * 2007-09-07 2009-03-26 Deutsches Zentrum Fuer Luft-Und Raumfahrt E.V. Method for analyzing the reliability of technical installations with the use of physical models
US20110010140A1 (en) * 2009-07-13 2011-01-13 Northrop Grumman Corporation Probability Distribution Function Mapping Method
US20140072170A1 (en) * 2012-09-12 2014-03-13 Objectvideo, Inc. 3d human pose and shape modeling
CN105022888A (en) * 2015-08-01 2015-11-04 西安科技大学 Reliability evaluation method for top beam of hydraulic bracket
CN105930647A (en) * 2016-04-18 2016-09-07 北京航空航天大学 Beam structure non-probabilistic reliability solving method capable of considering multi-failure modes
CN105976064A (en) * 2016-05-18 2016-09-28 北京航空航天大学 In-service structure optimal maintenance design method based on convex model time-variation reliability
CN106777626A (en) * 2016-12-07 2017-05-31 西安科技大学 A kind of trusses with discrete variables Multidisciplinary systems Optimization Design
CN106777492A (en) * 2016-11-16 2017-05-31 北京航空航天大学 A kind of structural system Multidisciplinary systems Optimization Design
CN107066663A (en) * 2016-12-30 2017-08-18 北京航空航天大学 A kind of truss structure Multidisciplinary systems Topology Optimization Method based on fully stress constraint criterion
CN107563016A (en) * 2017-08-15 2018-01-09 西北工业大学 A kind of wing box section Parameter Sensitivity Analysis method based on ellipsoidal model
CN107609320A (en) * 2017-10-30 2018-01-19 西安科技大学 A kind of truss Multidisciplinary systems Structural shape optimization
CN107908900A (en) * 2017-12-07 2018-04-13 北京航空航天大学 One kind is based on the probabilistic Continuum Structure Multidisciplinary systems Topology Optimization Method of convex model
US20210078173A1 (en) * 2017-03-27 2021-03-18 Ping An Technology (Shenzhen) Co., Ltd. System and method of controlling obstacle avoidance of robot, robot and storage medium

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090083014A1 (en) * 2007-09-07 2009-03-26 Deutsches Zentrum Fuer Luft-Und Raumfahrt E.V. Method for analyzing the reliability of technical installations with the use of physical models
US20110010140A1 (en) * 2009-07-13 2011-01-13 Northrop Grumman Corporation Probability Distribution Function Mapping Method
US20140072170A1 (en) * 2012-09-12 2014-03-13 Objectvideo, Inc. 3d human pose and shape modeling
CN105022888A (en) * 2015-08-01 2015-11-04 西安科技大学 Reliability evaluation method for top beam of hydraulic bracket
CN105930647A (en) * 2016-04-18 2016-09-07 北京航空航天大学 Beam structure non-probabilistic reliability solving method capable of considering multi-failure modes
CN105976064A (en) * 2016-05-18 2016-09-28 北京航空航天大学 In-service structure optimal maintenance design method based on convex model time-variation reliability
CN106777492A (en) * 2016-11-16 2017-05-31 北京航空航天大学 A kind of structural system Multidisciplinary systems Optimization Design
CN106777626A (en) * 2016-12-07 2017-05-31 西安科技大学 A kind of trusses with discrete variables Multidisciplinary systems Optimization Design
CN107066663A (en) * 2016-12-30 2017-08-18 北京航空航天大学 A kind of truss structure Multidisciplinary systems Topology Optimization Method based on fully stress constraint criterion
US20210078173A1 (en) * 2017-03-27 2021-03-18 Ping An Technology (Shenzhen) Co., Ltd. System and method of controlling obstacle avoidance of robot, robot and storage medium
CN107563016A (en) * 2017-08-15 2018-01-09 西北工业大学 A kind of wing box section Parameter Sensitivity Analysis method based on ellipsoidal model
CN107609320A (en) * 2017-10-30 2018-01-19 西安科技大学 A kind of truss Multidisciplinary systems Structural shape optimization
CN107908900A (en) * 2017-12-07 2018-04-13 北京航空航天大学 One kind is based on the probabilistic Continuum Structure Multidisciplinary systems Topology Optimization Method of convex model

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
BEN-HAIM Y. ET AL.,: "A non-probabilistic measure of reliability of linear systems based on expansion of convex model", 《STRUCTURAL SAFETY》 *
YANGJUN LUO ET AL.,: "Continuum topology optimization with non-probabilistic reliability constraints based on multi-ellipsoid convex model", 《STRUCT MULTIDISC OPTIM》 *
乔心州 等: "一种基于椭球凸集的结构非概率可靠性模型", 《工程力学》 *
乔心州 等: "桁架结构概率-非概率混合可靠性拓扑优化", 《应用力学学报》 *
乔心州: "不确定结构可靠性分析与优化设计研究", 《中国博士学位论文全文数据库 (工程科技Ⅱ辑)》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110135063A (en) * 2019-05-15 2019-08-16 西安科技大学 A kind of non-probability failure degree calculation method of series connection truss structure system
CN110895639A (en) * 2019-11-27 2020-03-20 河北工业大学 Robot system reliability analysis method based on Gaussian multi-ellipsoid model
CN110895639B (en) * 2019-11-27 2024-03-01 河北工业大学 Robot system reliability analysis method based on Gaussian multi-ellipsoid model
CN113901665A (en) * 2021-10-20 2022-01-07 北京工业大学 Time-varying reliability accurate analysis method based on condition crossing rate
CN113901665B (en) * 2021-10-20 2024-10-25 北京工业大学 Time-varying reliability accurate analysis method based on conditional ride-through rate
CN117556642A (en) * 2024-01-12 2024-02-13 南昌矿机集团股份有限公司 Cone crusher productivity reliability analysis method considering uncertainty

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