CN107423487B - A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature - Google Patents

A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature Download PDF

Info

Publication number
CN107423487B
CN107423487B CN201710476795.7A CN201710476795A CN107423487B CN 107423487 B CN107423487 B CN 107423487B CN 201710476795 A CN201710476795 A CN 201710476795A CN 107423487 B CN107423487 B CN 107423487B
Authority
CN
China
Prior art keywords
random
modal
dynamic loads
random dynamic
space
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710476795.7A
Other languages
Chinese (zh)
Other versions
CN107423487A (en
Inventor
吴邵庆
费庆国
李彦斌
陈强
董萼良
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Southeast University
Original Assignee
Southeast University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Southeast University filed Critical Southeast University
Priority to CN201710476795.7A priority Critical patent/CN107423487B/en
Publication of CN107423487A publication Critical patent/CN107423487A/en
Priority to PCT/CN2018/083275 priority patent/WO2018233359A1/en
Application granted granted Critical
Publication of CN107423487B publication Critical patent/CN107423487B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/15Correlation function computation including computation of convolution operations

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Algebra (AREA)
  • Operations Research (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • Computing Systems (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

The invention discloses the recognition methods of a kind of Random dynamic loads spatial distribution and statistical nature.The method of the present invention includes steps:S1. carry out modal test, the modal parameter of structure is obtained, including intrinsic frequency and Mode Shape;S2. Structure Random Vibration response using Mode Shape is unfolded, obtains dynamic response of the structure in Modal Space;S3. it is unfolded using Mode Shape, Modal Space will be projected to the Random dynamic loads of spatial distribution;S4. in Modal Space, by random dynamic response sample inverting Random dynamic loads sample;S5. the spatial distribution and statistical nature of Random dynamic loads in structure are solved by Random dynamic loads sample in Modal Space and model function of vibration.The present invention can solve the problems, such as that, using the statistical property and distribution characteristics for surveying Random dynamic loads in structure dynamic response specimen discerning structure in time domain, Structural Design and security evaluation to be served under distributed random dynamic loading environment provide accurately and reliably dynamic loading information.

Description

A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature
Technical field:
The present invention relates to the recognition methods of a kind of Random dynamic loads spatial distribution and statistical nature, and it is anti-to belong to Structural Dynamics Problem Technical field.
Background technology:
Dynamic loading information in engineering structure is the foundation of structure design and security evaluation.The acquisition methods of dynamic loading are substantially It is divided into and directly measures and two kinds of indirect identification.In many cases, dynamic loading is difficult to by directly measuring acquisition, general using survey The dynamic response in structure is measured, in the case that known to structural system, identifies dynamic loading information needed for obtaining.
Traditional Dynamic Load Identification method is that the structure dynamic response data identification surveyed using single causes the secondary dynamic response Excitation information, being to determine property Dynamic Load Identification method.Existing certainty Dynamic Load Identification method be used to obtain engineering knot Concentration dynamic loading on structure, the information such as mobile load and distributed dynamic loading.It is worth noting that, distributed Dynamic Load Identification Problem is equivalent to the infinite multiple concentration dynamic loadings of identification, and difficulty bigger is generally required distributed Dynamic Load Identification problem dimensionality reduction It solves.
The dynamic loading acted on engineering structure, the wave load born such as the wind load on building, ocean platform And aerodynamic loading of aircraft surface etc., it is not only distributed in structure, but also with randomness.Random dynamic loads are applied to During structure, " randomness " will be also presented in dynamic response therewith;Therefore, the structure dynamic response of single actual measurement can only be the random sound of something astir of structure One of sample of information is answered, the dynamic loading information of certainty Dynamic Load Identification method acquisition is utilized based on some response sample Also it can only partly reflect that the Random dynamic loads encourage;In addition, the dynamic response error included in single measurement is in certainty dynamic loading The deviation of load recognition result is also caused by the part as " true response " in identification.It is moved for such distributed random The identification problem of load, traditional certainty distribution Dynamic Load Identification method and the recognition methods suitable for concentrating Random dynamic loads It can not use, need to develop a kind of new method for distributed random Dynamic Load Identification, there is actual measurement structure dynamic response sample Identify the spatial distribution and statistical nature of Random dynamic loads.
Invention content
The object of the present invention is to provide the recognition methods of a kind of Random dynamic loads spatial distribution and statistical nature, solve when Using the statistical property of Random dynamic loads and distribution characteristics problem in structure dynamic response specimen discerning structure is surveyed in domain, to be on active service Structural Design under distributed random dynamic loading environment provides accurately and reliably dynamic loading information with security evaluation.
Above-mentioned purpose is achieved through the following technical solutions:
The recognition methods of a kind of Random dynamic loads spatial distribution and statistical nature, this method comprises the following steps:
S1. carry out modal test, the modal parameter of structure is obtained, including intrinsic frequency and Mode Shape;
S2. Structure Random Vibration response using Mode Shape is unfolded, obtains dynamic response of the structure in Modal Space;
S3. it is unfolded using Mode Shape, Modal Space will be projected to the Random dynamic loads of spatial distribution;
S4. in Modal Space, by random dynamic response sample inverting Random dynamic loads sample;
S5. the spatial distribution of Random dynamic loads in structure is solved by Random dynamic loads sample in Modal Space and model function of vibration And statistical nature.
The recognition methods of Random dynamic loads spatial distribution and the statistical nature, it is described in step S2 that structure is random Vibratory response is unfolded using Mode Shape, obtains dynamic response of the structure in Modal Space, the specific steps are:
S21:Utilize the sample set that measurement method acquisition PSD response is repeated several times:
(the x in structure1,x2,…xn) measure for the r times at position and obtain dynamic respond sample vector WrIt is expressed as:
Wr={ wr(x1,t) wr(x2,t)…wr(xn,t)}T, r=1 ..., N (1),
Wherein wr(xj, t) and it represents to measure the displacement structure obtained in x the r timesjLocating the value of t moment, N is the number measured, It is also contemplated that response sample capacity;
S22:For single sample, i.e. single actual measurement structural vibration response, it is unfolded to obtain structural vibration using Mode Shape It is responded in Modal Space:
The corresponding modal displacement vector of the r times measurement in Modal Space is calculated using Mode Shape function:
Wherein qi,r(t) modal displacement of the displacement structure obtained in the i-th rank Modal Space is measured for the r times,Table Show the i-th rank Mode Shape function in xjThe value at place, the upper right corner+number expression generalized inverse.
The recognition methods of Random dynamic loads spatial distribution and the statistical nature, the utilization mode described in step S3 are shaken Type is unfolded, and will project to Modal Space with the Random dynamic loads of spatial distribution, specifically includes following steps:
S31:Random dynamic loads distribution is enabled independently of its stochastic behaviour and time history, by its distribution function and random time Course is unfolded using Mode Shape, is as follows:Distribution Random dynamic loads f (x, t, θ) is expressed as its distribution function T (x) it with the product of random time course P (t, θ), is shown below:
F (x, t, θ)=T (x) P (t, θ) (3),
Distribution function T (x) is unfolded using Mode Shape:
Formula (4) is substituted into formula (3), can be obtained:
Wherein ak(t, θ)=dkP(t,θ)。
Random dynamic loads f in i-th rank Modal Spacei(t, θ) can be expressed as:
Wherein L represents the length of beam;
S32:Using the orthogonality of Mode Shape function, establish random between dynamic response and Random dynamic loads in Modal Space Relationship.It is as follows:
Kinetics equation of the structure in Modal Space be:
Wherein qi(t, θ),WithStructure random file respectively in Modal Space, speed and acceleration, ζiAnd miRespectively the i-th rank damping ratios and modal mass.Formula (6) is substituted into formula (7), utilizes the orthogonal of the structural modal vibration shape Property condition, random relational expression between dynamic response and Random dynamic loads can be obtained in Modal Space, it is as follows:
The recognition methods of Random dynamic loads spatial distribution and the statistical nature, described in step S4 in Modal Space It is interior, Random dynamic loads are solved by random dynamic response, specifically include following steps:
S41:According to displacement structure, the derivative relation between speed and acceleration measures the structural modal obtained by the r times Displacement qi,r(t), corresponding modal velocity and modal acceleration are obtained to time derivation;If measure acquisition is structure acceleration Mode acquisition speed and the displacement of integration equally can be used in signal;
S42:By random file q in the Modal Space in formula (8)iThe sample q of (t, θ)i,r(t) and its derivative, solution obtain Random dynamic loads a in Modal SpaceiThe sample a of (t, θ)i,r(t)。
The recognition methods of Random dynamic loads spatial distribution and the statistical nature, described in step S5 by Modal Space Interior Random dynamic loads sample and model function of vibration solve the spatial distribution and statistical nature of Random dynamic loads in structure, specifically include with Lower step:
S51:The spatial distribution of Random dynamic loads can be calculated by following formula:
Wherein t1For any time;
S52:The mean μ of Random dynamic loadsf(x, t) can be calculated by following formula:
S53:The variance Var of Random dynamic loadsf(x, t) can be calculated by following formula:
Advantageous effect:
Compared with prior art, the present invention it has the following advantages:
1st, existing Random dynamic loads identification technology generally can only be by random in actual measurement structure dynamic response specimen discerning structure Dynamic loading is concentrated, the distribution Random dynamic loads recognition methods occurred at present can not be suitable for the knowledge of non-stationary Random dynamic loads Not, the distribution Random dynamic loads time domain identification technology provided in the present invention can utilize the actual measurement structure sound of something astir at limited measure node It answers the spatial distribution of specimen discerning Random dynamic loads and statistical nature changes with time rule, there is certain advance;
2nd, using Mode Shape functional expansion, the identification problem for being distributed Random dynamic loads is converted into dynamic load in Modal Space The estimation problem of lotus random process greatly reduces the dimension and difficulty of load identification problem, has easy to operate and computational efficiency The characteristics of high.
Description of the drawings
Fig. 1 is the logical procedure diagram of the method for the present invention.
Fig. 2 is the lower simply supported beam schematic diagram of distribution Random dynamic loads effect.
Fig. 3 is Random dynamic loads spatial distribution recognition result schematic diagram.
Fig. 4 (a) is Random dynamic loads time-varying mean value recognition result schematic diagram.
Fig. 4 (b) is Random dynamic loads time-varying variance recognition result schematic diagram.
Fig. 4 (c) is Random dynamic loads correlation function recognition result schematic diagram.
Specific embodiment
Below by the mode of embodiment, technical solution of the present invention is described in detail, but embodiment is only the present invention One of which embodiment, it should be pointed out that:To those of ordinary skill in the art, the principle of the invention is not being departed from Under the premise of, several improvement and equivalent replacement can also be made in a manner of structure and loading etc. to change, these weigh the present invention Profit requirement be improved with the technical solution after equivalent replacement, each fall within protection scope of the present invention.
Embodiment:To acted on simple beam structure as shown in Figure 2 distribution Random dynamic loads using the present invention method into Row identification.Beam length L=40m, cross-sectional area A=4.8m2, cross sectional moment of inertia I=2.5498m4, the damping of structure is using Rayleigh resistance Buddhist nun, each rank damping ratios ξi=0.02, elastic modulus E=5 × 10 of material10N/m2, density p=2.5 × 103kg/m3.It treats The trapezoidal profile Random dynamic loads distribution function of identification is:
The randomness dynamic loading component F (t, θ) of distributed random dynamic loading is divided into certainty dynamic loading and randomness dynamic load Two parts of lotus.
The certainty dynamic loading part of F (t, θ):
Fd(t)=20000 [1+0.1sin (2 π t)] N (2)
The randomness dynamic loading part of F (t, θ) is assumed to zero-mean non-stationary Gaussian random process, power spectrum function S (ω, t) is:
S (ω, t)=CfPd(t)Φ(ω) (3)
Wherein:CfIt represents Random Level, takes Cf=0.2;Φ (ω) represents the power of zero-mean non-stationary Gaussian random process Spectral density function has Φ (ω)=(1/2 π) (2/ ω2+1)。
Using technology of the invention by the spatial distribution and system of the random dynamic response specimen discerning Random dynamic loads of actual measurement structure Feature is counted, specifically includes following steps:
S1:Modal test is carried out to simply supported beam, first five the rank intrinsic frequency for obtaining structure is respectively 3.9Hz, 15.6Hz, 35.1Hz, 62.5Hz and 97.6Hz, while obtain the Mode Shape corresponding to each rank intrinsic frequency;
S2:Structure Random Vibration response using Mode Shape is unfolded, dynamic respond signal is obtained using multiple measure, asks Solution structure includes the following steps in the dynamic response of Modal Space:
S21:It is evenly arranged 19 measuring points in girder construction, the dynamic displacement signal at each measuring point of duplicate measurements obtains It is distributed the sample set of PSD response under arbitrary excitation;
S22:For single sample, i.e. single actual measurement structural vibration response, it is unfolded to obtain structural vibration using Mode Shape It is responded in Modal Space.It is as follows:
The r times measurement in position obtains dynamic respond sample vector W in girder constructionrIt is expressed as:
Wr={ wr(x1,t) wr(x2,t)…wr(xn,t)}T, r=1 ..., N (4),
Wherein wr(xj, t) and it represents to measure the displacement structure obtained in x the r timesjLocating the value of t moment, N is the number measured, Using 5000 times in the present embodiment, as total sample number is 5000.The r times survey in Modal Space is calculated using Mode Shape function Measure corresponding modal displacement vector:
Wherein qi,r(t) modal displacement of the displacement structure obtained in the i-th rank Modal Space is measured for the r times,Table Show the i-th rank Mode Shape function in xjThe value at place, the upper right corner+number expression generalized inverse.At this point, measuring point number n=19, mode number m= 5。
S3:It is unfolded using Mode Shape, Modal Space will be projected to the Random dynamic loads of spatial distribution, including following step Suddenly:
S31:Random dynamic loads distribution is enabled independently of its stochastic behaviour and time history, by its distribution function and random time Course is unfolded using Mode Shape.It is as follows:
By taking the non-stationary Random dynamic loads f (x, t, θ) of a trapezoidal profile as an example, can be expressed as its distribution function T (x) with The product of random time course P (t, θ), is shown below:
F (x, t, θ)=T (x) P (t, θ) (6),
Preceding 5 rank natural mode of vibration functional expansion distribution function T (x), i.e. k=5 are utilized according to the following formula:
The vibration shape in (7) formula of utilization is unfolded, and identifies that the distribution function of dynamic loading can be exchanged into migration index dkThe problem of, Substantially reduce identification difficulty.Formula (7) is substituted into formula (6), can be obtained
Wherein ak(t, θ)=dkP(t,θ)。
Random dynamic loads f in i-th rank Modal Spacei(t, θ) can be expressed as:
Wherein L represents the length of beam.
S32:Using the orthogonality of Mode Shape function, establish random between dynamic response and Random dynamic loads in Modal Space Relationship.It is as follows:
Kinetics equation of the simply supported beam in Modal Space be:
Wherein qi(t, θ),WithStructure random file respectively in Modal Space, speed and acceleration, ζiAnd miRespectively the i-th rank damping ratios and modal mass.Formula (9) is substituted into formula (10), using simply supported beam Mode Shape just The property handed over condition:
Wherein δijFor Kronecker function.It can then obtain in Modal Space random between dynamic response and Random dynamic loads Relational expression is as follows:
Wherein ρ A are the line density of beam.
S4:In Modal Space, Random dynamic loads are solved by random dynamic response.It is as follows:
S41:According to displacement structure, the derivative relation between speed and acceleration measures the structural modal obtained by the r times Displacement qi,r(t), corresponding modal velocity and modal acceleration are obtained to time derivation;If measure acquisition is structure acceleration Mode acquisition speed and the displacement of integration equally can be used in signal;
S42:By random file q in the Modal Space in formula (12)iThe sample q of (t, θ)i,r(t) and its derivative it, solves Random dynamic loads a in Modal SpaceiThe sample a of (t, θ)i,r(t)。
S5:The spatial distribution and system of Random dynamic loads in structure are solved by Random dynamic loads in Modal Space and model function of vibration Count feature.It is as follows:
S51:Using proposed method, identification obtains each moment Random dynamic loads spatial distribution, with true profiles versus As shown in Figure 3;
S52:Identification obtains the mean value that changes over time of Random dynamic loads, in girder span Random dynamic loads identification mean value with very Real value comparison is as shown in Figure 4;
S53:Identification obtains the variance that changes over time of Random dynamic loads and correlation function, Random dynamic loads side in girder span Difference and correlation function discre value and actual value comparison are as shown in Figure 4;
From the foregoing, it will be observed that the recognition methods in the present invention can utilize response sample at limited measure node to accurately identify Random Dynamic Loads The statistical nature that lotus changes over time suitable for the situation of non-stationary Random dynamic loads, has certain advanced.

Claims (2)

1. the recognition methods of a kind of Random dynamic loads spatial distribution and statistical nature, which is characterized in that this method includes following step Suddenly:
S1. carry out modal test, the modal parameter of structure is obtained, including intrinsic frequency and Mode Shape;
S2. Structure Random Vibration response using Mode Shape is unfolded, obtains dynamic response of the structure in Modal Space;
S3. it is unfolded using Mode Shape, Modal Space will be projected to the Random dynamic loads of spatial distribution;
S4. in Modal Space, by random dynamic response sample inverting Random dynamic loads sample;
S5. the spatial distribution and system of Random dynamic loads in structure are solved by Random dynamic loads sample in Modal Space and model function of vibration Count feature;
Structure Random Vibration response being unfolded using Mode Shape described in step S2, obtains the sound of something astir of the structure in Modal Space Should, the specific steps are:
S21:Utilize the sample set that measurement method acquisition PSD response is repeated several times:
(the x in structure1,x2,…xn) measure for the r times at position and obtain dynamic respond sample vector WrIt is expressed as:
Wr={ wr(x1,t) wr(x2,t) … wr(xn,t)}T, r=1 ..., N (1),
Wherein wr(xj, t) and it represents to measure the displacement structure obtained in x the r timesjLocate the value of t moment, N is the number measured;
S22:For single sample, i.e. single actual measurement structural vibration response, it is unfolded to obtain structural vibration in mould using Mode Shape It is responded in state space:
The corresponding modal displacement vector of the r times measurement in Modal Space is calculated using Mode Shape function:
Wherein qi,r(t) modal displacement of the displacement structure obtained in the i-th rank Modal Space is measured for the r times,Represent the I rank Mode Shape functions are in xjThe value at place, the upper right corner+number expression generalized inverse;
Utilization Mode Shape expansion described in step S3, will project to Modal Space with the Random dynamic loads of spatial distribution, has Body includes the following steps:
S31:Random dynamic loads distribution is enabled independently of its stochastic behaviour and time history, by its distribution function and random time course It is unfolded using Mode Shape, is as follows:Distribution Random dynamic loads f (x, t, θ) is expressed as its distribution function T (x) With the product of random time course P (t, θ), it is shown below:
F (x, t, θ)=T (x) P (t, θ) (3),
Distribution function T (x) is unfolded using Mode Shape:
Formula (4) is substituted into formula (3), is obtained:
Wherein ak(t, θ)=dkP (t, θ),
Random dynamic loads f in i-th rank Modal Spacei(t, θ) is expressed as:
Wherein L represents the length of beam;
S32:Using the orthogonality of Mode Shape function, random pass between dynamic response and Random dynamic loads in Modal Space is established System, is as follows:
Kinetics equation of the structure in Modal Space be:
Wherein qi(t, θ),WithStructure random file respectively in Modal Space, speed and acceleration, ζiWith miFormula (6) is substituted into formula (7), utilizes the orthogonality item of the structural modal vibration shape by respectively the i-th rank damping ratios and modal mass Part obtains random relational expression between dynamic response and Random dynamic loads in Modal Space, as follows:
Random dynamic loads in structure are solved by Random dynamic loads sample in Modal Space and model function of vibration described in step S5 Spatial distribution and statistical nature, specifically include following steps:
S51:The spatial distribution of Random dynamic loads is calculated by following formula:
Wherein t1For any time;
S52:The mean μ of Random dynamic loadsf(x, t) is calculated by following formula:
S53:The variance Var of Random dynamic loadsf(x, t) is calculated by following formula:
2. the recognition methods of Random dynamic loads spatial distribution according to claim 1 and statistical nature, which is characterized in that step Described in rapid S4 in Modal Space, by random dynamic response sample inverting Random dynamic loads sample, specifically include following steps:
S41:According to displacement structure, the derivative relation between speed and acceleration measures the structural modal displacement obtained by the r times qi,r(t), corresponding modal velocity and modal acceleration are obtained to time derivation;If measure acquisition is structure acceleration signal, Similary acquisition speed and displacement by the way of integration;
S42:By random file q in the Modal Space in formula (8)iThe sample q of (t, θ)i,r(t) and its derivative, solution obtain mode Random dynamic loads a in spaceiThe sample a of (t, θ)i,r(t)。
CN201710476795.7A 2017-06-21 2017-06-21 A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature Active CN107423487B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201710476795.7A CN107423487B (en) 2017-06-21 2017-06-21 A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature
PCT/CN2018/083275 WO2018233359A1 (en) 2017-06-21 2018-04-17 Method for recognizing spatial distribution and statistical feature of random dynamic load

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710476795.7A CN107423487B (en) 2017-06-21 2017-06-21 A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature

Publications (2)

Publication Number Publication Date
CN107423487A CN107423487A (en) 2017-12-01
CN107423487B true CN107423487B (en) 2018-06-12

Family

ID=60426599

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710476795.7A Active CN107423487B (en) 2017-06-21 2017-06-21 A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature

Country Status (2)

Country Link
CN (1) CN107423487B (en)
WO (1) WO2018233359A1 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107423487B (en) * 2017-06-21 2018-06-12 东南大学 A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature
CN108038315B (en) * 2017-12-15 2019-04-09 东南大学 A kind of Random dynamic loads recognition methods based on spectrum stochastic finite meta-model
CN108491578B (en) * 2018-02-13 2019-03-12 东南大学 A kind of Random dynamic loads recognition methods based on perturbative matrix
CN110083886A (en) * 2019-04-08 2019-08-02 西北工业大学 A kind of helicopter vibration load simulating analysis based on finite element
CN113392545B (en) * 2021-05-31 2024-01-30 东南大学 Time domain distribution random dynamic load identification method considering spatial correlation
CN113392547B (en) * 2021-05-31 2024-01-05 东南大学 Frequency domain distribution random dynamic load identification method considering spatial correlation

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2500836A2 (en) * 2011-03-16 2012-09-19 Airbus Operations Limited Stresses induced by random loading
CN104090977A (en) * 2014-07-22 2014-10-08 东南大学 Random recognition method for bridge floor moving vehicle loads
CN104123463A (en) * 2014-07-22 2014-10-29 东南大学 Time domain identification method of random dynamic loads

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8577628B2 (en) * 2009-04-10 2013-11-05 University Of South Carolina System and method for modal identification using smart mobile sensors
CN102129520B (en) * 2011-03-16 2013-05-29 哈尔滨工程大学 Self-adaptive time domain identification method of dynamic load
CN107423487B (en) * 2017-06-21 2018-06-12 东南大学 A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2500836A2 (en) * 2011-03-16 2012-09-19 Airbus Operations Limited Stresses induced by random loading
CN104090977A (en) * 2014-07-22 2014-10-08 东南大学 Random recognition method for bridge floor moving vehicle loads
CN104123463A (en) * 2014-07-22 2014-10-29 东南大学 Time domain identification method of random dynamic loads

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Dynamic analysis of bridge with non-Gaussian uncertainties under a moving vehicle;S.Q.Wu 等;《Probabilistic Engineering Mechanics》;20100821;第281-293页 *
Evaluating the response statistics of an uncertain bridge–vehicle system;S.Q.Wu 等;《Mechanical SystemsandSignalProcessing》;20110806;第576-589页 *
Statistical moving load identification including uncertainty;S.Q.Wu 等;《Probabilistic Engineering Mechanics》;20110917;第70-78页 *

Also Published As

Publication number Publication date
CN107423487A (en) 2017-12-01
WO2018233359A1 (en) 2018-12-27

Similar Documents

Publication Publication Date Title
CN107423487B (en) A kind of recognition methods of Random dynamic loads spatial distribution and statistical nature
CN107451338B (en) A kind of distribution Random dynamic loads recognition methods based on finite element
CN107341297B (en) A kind of distribution Random dynamic loads recognition methods based on KL expansion
CN108038315B (en) A kind of Random dynamic loads recognition methods based on spectrum stochastic finite meta-model
Keenahan et al. Determination of road profile using multiple passing vehicle measurements
CN108090614A (en) A kind of space wind field prediction model method for building up based on related coefficient
CN109299539A (en) A method of utilizing curvilinear corner index evaluation cantilever beam rigidity weak link
Zhi et al. Identification of wind loads on super-tall buildings by Kalman filter
CN107085633A (en) The device and method of multiple spot vibratory response frequency domain prediction based on SVMs
CN105466661A (en) Improved Kalman filter-based super high-rise building wind load inverse analysis method
CN107092738A (en) The experimental provision and method of vibratory response frequency domain prediction based on multiple linear regression
CN105488307A (en) Evaluation method of slope monitoring and early warning system based on Big Dipper
CN109086501A (en) A kind of flutter prediction technique
CN109506965A (en) Weld space grid structure node weld damage substep diagnostic method
CN110008520B (en) Structural damage identification method based on displacement response covariance parameters and Bayesian fusion
CN108287964A (en) A kind of grey cloud reasoning structure damnification recognition method based on acceleration inner product vector
CN103345557A (en) Bridge pier physical structure parameter identification method and device on condition of all-unknown wave force
CN106338372A (en) Offshore platform damage positioning method based on residual strain energy and system thereof
CN104062072A (en) Shafting dynamic balance multi-target optimization method based on differential search algorithm
CN104807661A (en) High-level and high-rise structure dynamic detection bearing capacity evaluating method
Wang et al. Fourier series approach for the vibration of Euler–Bernoulli beam under moving distributed force: Application to train gust
CN103471870A (en) Method for researching sensibility and clustering performance for recognizing states of coal mine equipment based on two-dimensional projection characteristic indexes
CN104516858A (en) Phase diagram matrix method for nonlinear dynamic behavior analysis
Zhao et al. Enhanced semi-automated Bayesian modal identification approach for Ultra-high voltage transmission towers
Rui et al. Damage detection of bridge beam subjected to moving loads based on energy ratio from vibration response

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant