CN109740211A - A kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic - Google Patents

A kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic Download PDF

Info

Publication number
CN109740211A
CN109740211A CN201811571918.6A CN201811571918A CN109740211A CN 109740211 A CN109740211 A CN 109740211A CN 201811571918 A CN201811571918 A CN 201811571918A CN 109740211 A CN109740211 A CN 109740211A
Authority
CN
China
Prior art keywords
micron
pipeline
functionally gradient
gradient pipeline
parameter
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.)
Pending
Application number
CN201811571918.6A
Other languages
Chinese (zh)
Inventor
刘伟
赵玉杰
岳珠峰
邓家全
李钱
张展
李昊阳
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.)
Northwestern Polytechnical University
Original Assignee
Northwestern Polytechnical 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 Northwestern Polytechnical University filed Critical Northwestern Polytechnical University
Priority to CN201811571918.6A priority Critical patent/CN109740211A/en
Publication of CN109740211A publication Critical patent/CN109740211A/en
Pending legal-status Critical Current

Links

Landscapes

  • Pipeline Systems (AREA)

Abstract

The present invention relates to fluid conveying pipe fluid structurecoupling dynamics technology fields, propose a kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic, this method comprises: obtaining mechanics parameter, dimensional parameters and the installation parameter of micron functionally gradient pipeline;According to modified coupling stress theory, the strain energy formulation of the micron functionally gradient pipeline configuration is established;According to the strain energy formulation, the differential equation of motion of the micron functionally gradient pipeline is derived using Hamiton's principle and establishes boundary condition;The differential equation of motion is solved according to the mechanics parameter, dimensional parameters and installation parameter of the micron functionally gradient pipeline using hybrid method, and then solves the intrinsic frequency of the micron functionally gradient pipeline.The prediction technique for the function pipeline fluid structurecoupling inherent characteristic that the disclosure proposes can obtain a micron intrinsic frequency for functionally gradient pipeline by way of theoretical research.

Description

A kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic
Technical field
The present invention relates to fluid conveying pipe fluid structurecoupling dynamics technology field more particularly to a kind of function pipeline fluid structurecouplings The prediction technique of inherent characteristic.
Background technique
The pipeline of micro-meter scale can be used for microfluid filter plant, targeted drug delivery equipment, fluid density, viscosity and dense The fields such as degree detection.The functionally graded material of micro-meter scale can be applied to microelectromechanical-systems, film, microsensor and micro- execution Device.Therefore, the micron functionally gradient pipeline being made of functionally graded material can be formed by the advantage of two kinds of structures being combined.
Currently, the intrinsic frequency method for obtaining micron functionally gradient pipeline mainly passes through experimental study.Experimental study is logical The method for crossing Physical Experiment obtains the intrinsic frequency of micron functionally gradient pipeline.
However, due to the characteristic size very little of micrometer structure, being controlled to the position of these testpieces for experimental study System, pickup, placement, fixture manufacture, load and its measurement of displacement deformation are all very difficult, and which results in the realities of micrometer structure Testing research, there is also great difficulties.
It should be noted that the information in the invention of above-mentioned background technology part is only used for reinforcing the reason to background of the invention Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The purpose of the present invention is to provide a kind of prediction techniques of function pipeline fluid structurecoupling inherent characteristic.The function pipeline The prediction technique of fluid structurecoupling inherent characteristic can obtain the intrinsic frequency of micron functionally gradient pipeline by way of theoretical research Rate.
Other characteristics and advantages of the invention will be apparent from by the following detailed description, or partially by the present invention Practice and acquistion.
According to an aspect of the present invention, a kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic, the party are provided Method includes:
Mechanics parameter, dimensional parameters and the installation parameter of micron functionally gradient pipeline are obtained, the mechanics parameter includes The elasticity modulus of two kinds of components, density, Poisson's ratio in the micron functionally gradient pipeline, the dimensional parameters include the micron Internal diameter, outer diameter and the length of functionally gradient pipeline, the installation parameter include the section for supporting the micron functionally gradient pipeline The distance of point quantity and adjacent node;
According to modified coupling stress theory, the strain energy formulation of the micron functionally gradient pipeline configuration is established;
According to the strain energy formulation, the motion side of the micron functionally gradient pipeline is derived using Hamiton's principle Journey and establish boundary condition;
It is solved using hybrid method according to the mechanics parameter, dimensional parameters and installation parameter of the micron functionally gradient pipeline The differential equation of motion, and then solve the intrinsic frequency of the micron functionally gradient pipeline.
In a kind of exemplary embodiment of the invention, the strain energy formulation packet of the micron functionally gradient pipeline configuration is established It includes:
Establish formula
Wherein,UmFor strain Can, E is elasticity modulus, and I is the moment of inertia, and μ is modulus of shearing, and A is the cross section of micron functionally gradient pipeline, and l is test-material yardstick Parameter, w are the displacement of target point in a z-direction, and L is the length of micron functionally gradient pipeline, and x is the seat of target point in the x direction Mark, z are the coordinate of target point in a z-direction, RoAnd RiA micron outer diameter and inner diameter for functionally gradient pipeline is respectively indicated, r is target The radius of point, θ is rotating vector.
In a kind of exemplary embodiment of the invention, according to the strain energy formulation, derived using Hamiton's principle described in The differential equation of motion of micron functionally gradient pipeline, comprising:
Establish the Lagrangian of the micron functionally gradient pipeline: lc=Tp+Tf-Um, wherein TpFor the micron function The kinetic energy of energy gradient pipeline, TfFor the kinetic energy of the micron functionally gradient fluids within pipes;
Equation is established according to Hamiton's principle:
According to equationDerive the differential equation of motion of the micron functionally gradient pipeline:
Wherein, m*For the quality of micron functionally gradient pipeline unit length, MfFor micron functionally gradient fluids within pipes unit The quality of length, U are the speed of micron functionally gradient fluids within pipes, the quality m of micron functionally gradient pipeline unit length*It can According to the mechanics parameter of the micron functionally gradient pipeline and dimensional parameters acquisition.
In a kind of exemplary embodiment of the invention, establishing boundary condition includes:
Establish formula:
In a kind of exemplary embodiment of the invention, joined using hybrid method according to the mechanics of the micron functionally gradient pipeline Number, dimensional parameters and installation parameter solve the differential equation of motion, and then solve consolidating for the micron functionally gradient pipeline There is frequency, comprising:
Control the Fourier transform pairs of the solution w (x, t) of the differential equation of motion are as follows:
It willThe differential equation of motion is brought into obtain:
Set equationFrequently Solution in domain isWherein, c is undetermined constant, and k is wave number, and willIt brings intoObtain equation [(EI)*+(μ A)*l2]k4-MfU2k2-2ωMfUk-ω2(Mf+m*)=0 is set equation [(EI)*+(μA)*l2]k4-MfU2k2-2ωMfUk-ω2 (Mf+m*Solution on the lateral displacement of)=0 in frequency domain is
In a kind of exemplary embodiment of the invention, joined using hybrid method according to the mechanics of the micron functionally gradient pipeline Number, dimensional parameters and installation parameter solve the differential equation of motion, and then solve consolidating for the micron functionally gradient pipeline There is frequency, further includes:
Formula d=Sa+s is established according to passback ray theory, wherein S is global collision matrix;S is global wave source matrix;
Formula a=PUd is established according to wave propagation method theory, wherein
TqLIt is q across the left propogator matrix of unit, TqRFor q across The right propogator matrix 0 of unit2×2For 2 × 2 null matrix, I2×2For 2 × 2 unit matrix;
Formula (I-R) d=s is obtained in conjunction with formula d=Sa+s and a=PUd, wherein the passback of micron functionally gradient pipeline Ray matrix R=SPU;
According to formula h (ω)=| I-R |=0 solves the intrinsic frequency of the micron functionally gradient pipeline.
In a kind of exemplary embodiment of the invention, s=0.
In a kind of exemplary embodiment of the invention, according to formula h (ω)=| I-R |=0 solves micron function ladder Spend the intrinsic frequency of pipeline, comprising:
Draw the curve that h (ω) changes with ω;
When the real and imaginary parts of h (ω) are simultaneously zero, corresponding ω is consolidating for the micron functionally gradient pipeline There is frequency.
The present invention proposes a kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic, this method comprises: obtaining micron Mechanics parameter, dimensional parameters and the installation parameter of functionally gradient pipeline;According to modified coupling stress theory, the micron is established The strain energy formulation of functionally gradient pipeline configuration;According to the strain energy formulation, the micron function is derived using Hamiton's principle Can gradient pipeline differential equation of motion and establish boundary condition;Using hybrid method according to the micron functionally gradient pipeline Mechanics parameter, dimensional parameters and installation parameter solve the differential equation of motion, and then solve the micron functionally gradient pipe The intrinsic frequency in road.The prediction technique for the function pipeline fluid structurecoupling inherent characteristic that the disclosure proposes can pass through theoretical research Mode obtains a micron intrinsic frequency for functionally gradient pipeline.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not It can the limitation present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention Example, and be used to explain the principle of the present invention together with specification.It should be evident that the accompanying drawings in the following description is only the present invention Some embodiments for those of ordinary skill in the art without creative efforts, can also basis These attached drawings obtain other attached drawings.
Fig. 1 is a kind of process of exemplary embodiment of prediction technique of disclosure function pipeline fluid structurecoupling inherent characteristic Figure;
Fig. 2 is micron function in a kind of exemplary embodiment of prediction technique of disclosure function pipeline fluid structurecoupling inherent characteristic The structural schematic diagram of energy gradient pipeline;
Fig. 3 is that micron functionally gradient pipeline different volumes fractional exponent acts on lower inner layer material body in the present exemplary embodiment The variation of fraction through-thickness;
Fig. 4 is the fluctuation schematic diagram in multispan micron functionally gradient pipeline;
Fig. 5 is m across the fluctuation schematic diagram in pipeline;
Fig. 6 is the structural schematic diagram of micron functionally gradient pipeline in the present exemplary embodiment;
Fig. 7 is that micron functionally gradient pipeline difference dimensionless scale parameter Do/l acts on lower pipeline in the present exemplary embodiment Fundamental frequency with fluid flow rate u variation;
First three rank of micron functionally gradient pipeline when Fig. 8 is micron functionally gradient pipeline index n=0 in the present exemplary embodiment Intrinsic frequency with flow velocity u variation (Do/l=10);
First three rank of micron functionally gradient pipeline when Fig. 9 is micron functionally gradient pipeline index n=1 in the present exemplary embodiment Intrinsic frequency with flow velocity u variation (Do/l=10);
When Figure 10 is micron functionally gradient pipeline index n=10 in the present exemplary embodiment micron functionally gradient pipeline first three Rank intrinsic frequency with flow velocity u variation (Do/l=10);
When Figure 11 is micron functionally gradient pipeline index n=50 in the present exemplary embodiment micron functionally gradient pipeline first three Rank intrinsic frequency with flow velocity u variation (Do/l=10);
Figure 12 is that micron functionally gradient pipeline different index n acts on lower critical flow velocity with parameter in the present exemplary embodiment The variation of Do/l;
Figure 13 is that micron functionally gradient pipeline different scale parameter Do/l acts on lower critical flow velocity in the present exemplary embodiment With the variation of index n;
Figure 14 is that micron functionally gradient pipeline different volumes fractional exponent n acts on lower micron pipeline in the present exemplary embodiment Critical flow velocity with location parameter L1/L variation (Do/l=100);
Figure 15 is that micron functionally gradient pipeline different volumes fractional exponent n acts on lower micron pipeline in the present exemplary embodiment Critical flow velocity with supported amount variation (Do/l=100).
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be real in a variety of forms It applies, and is not understood as limited to embodiment set forth herein;On the contrary, provide these embodiments be intended to so that the disclosure comprehensively and Completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.The identical appended drawing reference table in figure Show same or similar part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner In example.In the following description, many details are provided to provide and fully understand to embodiment of the disclosure.However, It will be appreciated by persons skilled in the art that can be with technical solution of the disclosure without one in the specific detail or more It is more, or can adopt with other methods, constituent element, material, device, step etc..In other cases, it is not shown in detail or describes Known features, method, apparatus, realization, material or operation are to avoid fuzzy all aspects of this disclosure.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity. I.e., it is possible to realize these functional entitys using software form, or these are realized in the module of one or more softwares hardening A part of functional entity or functional entity, or realized in heterogeneous networks and/or processor device and/or microcontroller device These functional entitys.
Other characteristics and advantages of the invention will be apparent from by the following detailed description, or partially by the present invention Practice and acquistion.
The present exemplary embodiment provides a kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic first, such as Fig. 1 institute Show, is a kind of flow chart of exemplary embodiment of prediction technique of disclosure function pipeline fluid structurecoupling inherent characteristic, this method Include:
Step S1: mechanics parameter, dimensional parameters and the installation parameter of micron functionally gradient pipeline, the mechanics ginseng are obtained Number includes the elasticity modulus of two kinds of components, density, Poisson's ratio in the micron functionally gradient pipeline, and the dimensional parameters include institute Micron internal diameter of functionally gradient pipeline, outer diameter and a length are stated, the installation parameter includes supporting the micron functionally gradient pipe The number of nodes in road and the distance of adjacent node;
Step S2: according to modified coupling stress theory, the strain energy formulation of the micron functionally gradient pipeline configuration is established;
Step S3: according to the strain energy formulation, the fortune of the micron functionally gradient pipeline is derived using Hamiton's principle It moves the differential equation and establishes boundary condition;
Step S4: using hybrid method according to mechanics parameter, dimensional parameters and the installation of the micron functionally gradient pipeline Differential equation of motion described in parametric solution, and then solve the intrinsic frequency of the micron functionally gradient pipeline.
The present invention proposes a kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic, this method comprises: obtaining micron Mechanics parameter, dimensional parameters and the installation parameter of functionally gradient pipeline;According to modified coupling stress theory, the micron is established The strain energy formulation of functionally gradient pipeline configuration;According to the strain energy formulation, the micron function is derived using Hamiton's principle Can gradient pipeline differential equation of motion and establish boundary condition;Using hybrid method according to the micron functionally gradient pipeline Mechanics parameter, dimensional parameters and installation parameter solve the differential equation of motion, and then solve the micron functionally gradient pipe The intrinsic frequency in road.The prediction technique for the function pipeline fluid structurecoupling inherent characteristic that the disclosure proposes can pass through theoretical research Mode obtains a micron intrinsic frequency for functionally gradient pipeline.
Above-mentioned steps are described in detail below:
Firstly, the present exemplary embodiment is illustrated the material mechanical performance of micron functionally gradient pipeline, such as Fig. 2 institute Show, is micron functionally gradient pipe in a kind of exemplary embodiment of prediction technique of disclosure function pipeline fluid structurecoupling inherent characteristic The structural schematic diagram in road.Wherein, the length of micron functionally gradient pipeline is L, mean radius R, fluid flow rate U, RoAnd RiPoint Not Biao Shi pipeline outer diameter and inner diameter.For micron functionally gradient pipeline in x, the displacement component in y and z-axis direction uses u, v and w table respectively Show, this micron of functionally gradient pipeline can be made of two kinds of materials.It should be pointed out that micron functionally gradient pipeline is in micron meter Under degree, plug flow model is still applicable in.Equally, the material mechanical performance of micron functionally gradient pipeline still through-thickness here Change by Bending influence, specific effectively material property can indicate are as follows:
E=ViEi+VoEo (1)
μ=Viμi+Voμo (2)
ρ=Viρi+Voρo (3)
In formula:
E --- pipeline elasticity modulus;
μ --- pipeline modulus of shearing;
ρ --- channel density;
V --- component material volume fraction.
In micron functionally gradient pipeline, Poisson's ratio ν is assumed to constant.Subscript i and o respectively indicate the inner layer material of pipeline And cladding material.The volume fraction of component material can indicate are as follows:
Vo=1-Vi (5)
In formula:
The radius of r --- target point;
N --- volume fraction index.
As shown in figure 3, acting on the variation of lower inner layer material volume fraction through-thickness for different volumes fractional exponent.It is aobvious So as volume fraction index n=0, micron functionally gradient pipeline is degenerated for the micron functionally gradient pipeline of homogeneous material.
Step S1: mechanics parameter, dimensional parameters and the installation parameter of micron functionally gradient pipeline, the mechanics ginseng are obtained Number includes the elasticity modulus of two kinds of components, density, Poisson's ratio in the micron functionally gradient pipeline, and the dimensional parameters include institute Micron internal diameter of functionally gradient pipeline, outer diameter and a length are stated, the installation parameter includes supporting the micron functionally gradient pipe The number of nodes in road and the distance of adjacent node.
By step S1, the elastic modulus E of two kinds of components in available micron functionally gradient pipelineiAnd Eo, micron function The internal diameter R of gradient pipelineiWith outer diameter Ro, so as to obtain target on micron functionally gradient pipeline according to formula (1), (4), (5) Elasticity modulus on point.
Step S2: according to modified coupling stress theory, the strain energy formulation of the micron functionally gradient pipeline configuration is established.
According to coupling stress theory, the strain energy density of material is related with strain tensor and rotation gradient tensor simultaneously.At it It is additional to introduce the intrinsic characteristic dimension parameter of two materials in constitutive relation.On the basis of coupling stress theory, this is exemplary Embodiment is according to modified coupling stress theory.Make the strain energy density of material by introducing a new equilibrium condition and answer The symmetrical components for becoming tensor sum rotation gradient tensor are related, and unrelated with the rotation antisymmetric component of gradient tensor.Modified coupling The advantage of stress theory is, one test-material yardstick parameter of additional introducing is only needed in the constitutive relation of micrometer structure, so that Entire case study becomes simpler.
According to modified coupling stress theory, the strain energy of structure can be indicated are as follows:
In formula:
Um --- structural strain energy;
Ω --- structural volume;
σ --- stress tensor;
ε --- strain tensor;
M --- the deviator part of symmetrical coupling stress;
χ --- symmetrical contravariant tensor;
These tensors can be embodied as:
σ=λ tr (ε) I+2 μ ε (7)
M=2l2μχ (9)
In formula:
U --- motion vector;
λ --- elastic constant;
μ --- modulus of shearing;
θ --- rotating vector;
L --- test-material yardstick parameter.
In functionally graded material, the scale parameter of material is variable.Here for simplifying the analysis, the scale of material is joined Number l is assumed to be a constant.In addition rotating vector can be written as:
According to Euler-Bernoulli beam theory, arbitrary point can be written as respectively along the displacement of x, y and z directionss in Fig. 2:
U=-z ψ (x, t), v=0, w=w (x, t) (12)
In formula:
ψ --- cross-section of pipeline corner;
Under the conditions of small deformation, the corner of pipeline can be indicated are as follows:
Equation (12) and (13) are substituted into (8), available unique non-zero components of strain:
Equation (12) and (13), which are substituted into (11), to be obtained:
Equation (15) substitution (10) can be obtained:
Derive the differential equation of motion and boundary condition of micron functionally gradient pipeline.
For simplifying the analysis, when writing the components of stress, the influence of Poisson's ratio will be ignored.Equation (14) are substituted into (7), micron The components of stress of functionally gradient pipeline can indicate are as follows:
Equation (16) substitution (9) can be obtained:
The strain energy of micron functionally gradient pipeline can be written as:
Above formula can further be write a Chinese character in simplified form are as follows:
Wherein:
Wherein, UmFor strain energy, E is elasticity modulus, and I is the moment of inertia, and μ is modulus of shearing, and A is micron functionally gradient pipeline Cross section, l is test-material yardstick parameter, and w is the displacement of target point in a z-direction, and L is the length of micron functionally gradient pipeline, and x is The coordinate of target point in the x direction, z are the coordinate of target point in a z-direction, RoAnd RiRespectively indicate a micron functionally gradient pipeline Outer diameter and inner diameter, r be target point radius, θ is rotating vector.Above-mentioned parameter l, Ro、RiIt can directly be obtained by step S1 It takes;Elastic modulus E can be obtained by above-mentioned formula (1);Modulus of shearing μ can be obtained by above-mentioned formula (2), (4), (5), The modulus of shearing μ of two kinds of components in micron functionally gradient pipelineiAnd μoFormula μ=E/2 (1+ ν) be can use according to each component Elasticity modulus obtains, wherein ν is Poisson's ratio, and Poisson's ratio can be obtained directly by step S1;The moment of inertia can pass through formulaIt obtains, rotating vector θ can be obtained by formula (11).
Step S3: according to the strain energy formulation, the fortune of the micron functionally gradient pipeline is derived using Hamiton's principle It moves the differential equation and establishes boundary condition.
The kinetic energy of micron functionally gradient pipeline can be written as:
Micron functionally gradient pipeline linear mass m*It can be with is defined as:
The kinetic energy flowed in pipeline can be written as:
According to the Hamiton's principle of fluid conveying pipe, the case where to the fluid conveying pipe of both ends freely-supported, can be written as:
Wherein lc=Tp+Tf-UmIt is a micron Lagrangian for functionally gradient pipeline.Above-mentioned each amount is substituted into equation (26), and pass through variation operation, the differential equation of motion of available micron functionally gradient pipeline:
It should be noted that having ignored the influence of gravity, damping force, Fluid pressure in above formula.The freely-supported of pipe ends Boundary condition can indicate are as follows:
Compared to classical fluid conveying pipe differential equation of motion, it can be found that effective bending stiffness of micron functionally gradient pipeline For (EI)*+(μA)*l2, pipeline linear mass is m*, fluid units linear mass is Mf
Wherein, the density p of micron functionally gradient pipeline can be obtained according to formula (3), (4) (5), the density of two kinds of materials ρiAnd ρoIt can be directly acquired by step S1.Pipeline linear mass m*The density p of micron functionally gradient pipeline can be passed through It obtains.
Step S4: using hybrid method according to mechanics parameter, dimensional parameters and the installation of the micron functionally gradient pipeline Differential equation of motion described in parametric solution, and then solve the intrinsic frequency of the micron functionally gradient pipeline.
When solving differential equation of motion, it is necessary first to some parameters in differential equation of motion are determined, for example, springform Measure E, the moment of inertia I, modulus of shearing μ, pipeline linear mass m*, test-material yardstick parameter l etc., how above content to obtaining Above-mentioned parameter is taken to be described in detail.In addition, solving the differential equation of motion by hybrid method and may include:
The Fourier transform pairs of the solution w (x, t) of control differential equation (27) can be written as:
Equation (30) substitution equation (27) can be obtained:
Displacement solution in frequency domain can be set to:
In formula:
C --- undetermined constant;
K --- wave number.
Equation (32) substitution equation (31) can be obtained:
[(EI)*+(μA)*l2]k4-MfU2k2-2ωMfUk-ω2(Mf+m*)=0 (33)
K in equation (33) is corresponding there are four k1, k2, k3 and k4 is solved, and has respectively corresponded four wave modes.It is penetrated according to passback Collimation method, these waves can be divided into incidence wave and outgoing wave.And in wave propagation method, then it can be divided into left lateral wave and right lateral wave.By K in equation (33) is there are four solution, therefore lateral displacement setting solution and can be re-written as in frequency domain:
Correspondingly, corner of the micron functionally gradient pipeline in frequency domainMoment of flexureAnd shearingIt can indicate are as follows:
According to passback ray theory, as shown in figure 4, for the fluctuation schematic diagram in multispan micron functionally gradient pipeline.Here Double subscripts will be introducedTo describe incidence wave and outgoing wave.Subscript J and K indicate adjacent node.It needs , it is noted that in incidence wave,Indicate that wave is moved from node K to node J, and in outgoing wave,Indicate wave from node J is moved to node K.
The fluctuation schematic diagram of one section of typical multispan micron functionally gradient pipeline is as shown in Figure 4.Pipeline is by n freely-supported support branch Support.According to passback ray theory, incidence wave and outgoing wave at each node can indicate respectively are as follows:
In formula
A --- incidence wave;
D --- outgoing wave.
Wherein subscript 1,2, n expression pipeline nodes, and subscript 1,2,3,4 respectively correspond k1, k2, k3 and k4.
By passback ray theory, incidence wave and outgoing wave have following relationship:
D=Sa+s (40)
In formula:
S --- global collision matrix;
S --- global wave source matrix.
Wave source matrix s is related to external applied load, and the free vibration and stability of pipeline are mainly considered in this chapter analysis, is not examined Consider external applied load, therefore the s=0 in equation (40).Global collision matrix S it is assembled by the local collision matrix of each node and ?.And the local collision matrix of node is established by the displacement continuity condition and dynamic balance condition of node.
Such as in Fig. 4, the boundary condition of node 1 be can be written as:
Equation (34) and (36), which are substituted into (41), to be obtained:
Wherein
Incidence wave and outgoing wave at node 1 are as follows:
By at node 1 incidence wave and outgoing wave substitute into equation (42) and (43) it is available:
Incidence wave and outgoing wave at node 1 have following relationship:
d1=S1a1 (47)
In formula:
S1--- the local collision matrix of node 1.
In conjunction with the collision matrix at equation (46) and (47) available node 1 are as follows:
Local collision matrix at Fig. 4 interior joint 2 can be obtained by the condition of continuity at node 2 and equilibrium condition, It specifically can be written as:
In formula:
"-" --- node left end;
"+" --- node right end;
WithFor cross-section of pipeline corner.
Incidence wave and outgoing wave at node 2 are respectively as follows:
It will be displaced, after corner and Expression of Moment formula substitution above formula, and be scattered by arranging the part at available node 2 Matrix:
Wherein λj=ikj
Other intermediate nodes have the condition of continuity and equilibrium condition as node 2, and local collision matrix can also To establish by the same method, which is not described herein again.
The boundary condition of node n can be written as:
Incidence wave and outgoing wave at node n are respectively as follows:
The collision matrix S at node n can be obtained by equation (34) and (36), and by arrangementnAre as follows:
After the local collision matrix for obtaining all nodes, according to the wave position of node, it can be tied by assembly The global collision matrix of structure:
Next wave propagation method will be utilized, according to the sub propagation relationship across unit medium wave, establishes multispan pipeline neutron across list The wave propogator matrix of member, as shown in figure 5, being m across the fluctuation schematic diagram in pipeline.
Fig. 5 describes propagation of the m across piping unit medium wave.As previously mentioned, the wave in pipeline is divided in wave propagation method For right lateral wave and left lateral wave.Herein without loss of generality it is assumed that subscript 1 and 2 existsMiddle expression left lateral wave, and the table of subscript 3 and 4 Show right lateral wave.
M has following propagation relationship across the left lateral wave of piping unit:
In formula:
TmL--- m can be obtained across the left propogator matrix of unit, m according to the installation parameter of micron functionally gradient pipeline.
The expression of matrix is respectively as follows: in above formula
lmFor the distance of m node to m+1 node, lmIt can be obtained by the installation parameter of micron functionally gradient pipeline.
M has following propagation relationship across the right lateral wave of piping unit:
In formula:
TmR--- m is across the right propogator matrix of unit.
The expression of matrix is respectively as follows: in above formula
Other wave propogator matrixes of the son across unit, can also establish in the same way.
In next analysis, reverberation-ray matrix combination wave propagation method will be used, and establish the feature side of multispan pipeline Journey.Incidence wave and outgoing wave are introduced into wave propogator matrix, and combine equation (58) and (60), available following square Battle array:
Wherein it is respectively as follows: in the incidence wave and outgoing wave of m node and m+1 node
By assembling all sub local wave propogator matrixes across unit, second pass of available incidence wave and outgoing wave It is formula:
A=PUd (65)
Wherein:
It is available using combination equation (40) and (65):
(I-R) (68) d=s
Wherein R=SPU is known as the passback ray matrix of micron functionally gradient pipeline.The intrinsic frequency of micron functionally gradient pipeline Rate can be equal to zero by coefficient matrix and obtain:
H (ω)=| I-R |=0 (69)
A micron intrinsic frequency for functionally gradient pipeline can be found out using above formula.The song changed by drawing h (ω) with ω Line obtains.When the real and imaginary parts of h (ω) are simultaneously zero, corresponding ω is the intrinsic frequency of fluid conveying pipe.
The present exemplary embodiment also provides the intrinsic frequency solution procedure of a kind of specific micron functionally gradient pipeline and right The analysis method of solution.
This micron of functionally gradient pipeline is formed by aluminium and alumina composite, the cladding material of micron functionally gradient pipeline by 100% aluminium oxide is constituted, and the inner layer material of pipeline is made of 100% aluminium, the power of micron functionally gradient pipeline component material It learns parameter and dimensional parameters is as shown in table 1.The density p of fluidf=1000kg/m3.In order to study a micron ruler for functionally gradient pipeline Degree influences, and in following example, micron functionally gradient tubular dimensions parameter l is selected as 15 μm.
1 micron of functionally gradient pipeline component material mechanical performance of table
As shown in fig. 6, for the structural schematic diagram of micron functionally gradient pipeline in the present exemplary embodiment.Entire micron function Gradient pipeline is by four hinged seat supports.The geometric parameter of micron functionally gradient pipeline is Di/Do=0.9, L1=L2=L/3, L/ Do=20.Influence for research material scale parameter to micron functionally gradient pipe vibration and stability, here by micron The diameter of functionally gradient pipeline is set as variable, and defining nondimensional scale parameter is Do/ l:
In order to analyze simplicity, and make result that there is generality, following dimensionless group introduced in analysis below:
In formula:
ξ --- nondimensional length;
l*--- dimensionless scale parameter;
U --- dimensionless fluid flow rate;
--- dimensionless pipeline intrinsic frequency;
In addition when EI and m respectively indicates volume fraction index n=0, the bending stiffness and unit of micron functionally gradient pipeline Linear mass.
In order to which research material scale parameter is to micron functionally gradient pipeline free vibration and the influence of stability, such as Fig. 7 It is shown, it is different dimensionless scale parameter Do/ l acts on lower pipeline fundamental frequency with the variation of fluid flow rate u.Table 2 gives not With dimensionless scale parameter DoCritical flow velocity u under/l effectd.Front is it is stated that in the stabilization sub stage of fluid conveying pipe, frequency Real partReduce with the increase of fluid flow rate u, when flow velocity is more than a certain determining value, the real part drop of fundamental frequency It is zero, this indicates that static instability occurs for pipe-line system, and corresponding fluid flow rate is known as critical flow velocity ud, the imaginary part of frequency is
The different dimensionless scale parameter D of table 2oCritical flow velocity under/l effect
From Fig. 7 and table 2 as can be seen that the intrinsic frequency and critical flow velocity ratio that are obtained by modified coupling stress theory are by classics The value that theoretical calculation obtains is bigger.Simultaneously, it was also found that with dimensionless scale parameter Do/ l's is gradually increased, and is answered by modified coupling The result that power theoretical calculation obtains gradually converges on the result calculated by classical theory.For example, working as nondimensional scale parameter Do/ It is 2.14 times of Classical Beam the calculated results by the critical flow velocity that modified coupling stress theory is calculated when l=1.Work as nothing The scale parameter D of dimensionoWhen/l=10, this ratio is reduced to 1.02.Therefore it can be concluded that, the scale parameter of material is to micron The vibration of functionally gradient pipe-line system and stability have a major impact, and the steady of micron functionally gradient pipe-line system can be improved in it It is qualitative, especially when the diameter of micron functionally gradient pipeline and the close scale parameter of material.This is because material Scale parameter can increase effective bending stiffness (EI) of micron functionally gradient pipeline*+(μA)*l2, but with nondimensional ruler Spend parameter Do/ l is gradually increased, and this influence is gradually reduced.When the diameter of pipeline compares the larger (D of scale parameter of materialo/l> 10) when, the intrinsic frequency and critical flow velocity obtained by modified coupling stress theory converges on the knot being calculated by classical theory Fruit.
In order to study volume fraction index n to micron functionally gradient pipeline free vibration and the influence of stability, Fig. 8, 9,10,11 micron functionally gradient pipeline dimensionless ruler in the case where different volumes fractional exponent n (n=0,1,10,50) is acted on is given Spend parameter DoWhen/l=10, first three rank intrinsic frequency with fluid flow rate u variation.Wherein, 1st-mode indicates first-order modal, 2st-mode indicates that second-order modal, 3st-mode indicate three rank mode.From figure 8, it is seen that as index n=0, micron function Gradient pipeline presents more complicated dynamic phenomena.It is embodied in, the first order frequency of pipeline is in velocity of flow of zero dimension u= When 9.59, static instability occurs.In u=11.78 static instability, as flow velocity u=15.69, pipeline occur for the second order frequency Static instability occurs for third rank intrinsic frequency.Then, when flow velocity u continues to increase to 17.60, the second order frequency of pipeline is direct It is coupled with the third order frequency of pipeline, and the dynamic buckling coupled.It should be pointed out that in single span fluid conveying pipe, The Coupled Dynamic unstability of pipeline first occurs at the first rank and the second order frequency of pipeline.And the Coupled Dynamic unstability of this example is straight Sending and receiving are raw in second-order and third rank mode, this is different with single span fluid conveying pipe, while also related with support.
From Fig. 8,9,10,11 it is also found that micron functionally gradient pipeline intrinsic frequency real part and critical flow velocity with The increase of volume fraction index n and increase.For example, the static instability of first step mode occurs in u=as index n=0 9.59.As index n=1, the critical flow velocity u of micron functionally gradient pipelined=17.50, as index n=10 and 50, micron There is no static instabilities in the range of flow velocity u < 18 for functionally gradient pipeline.Therefore it can be concluded that, micron functionally gradient pipeline Stability improved with the increase of volume fraction index n.This is mainly due to the increases with index n, and aluminium oxide is micro- Component content in rice functionally gradient pipeline in increase and the component of aluminium is being reduced, and the Young's modulus of aluminium oxide is far longer than aluminium Young's modulus.These conclusions are identical as functionally gradient macroscopic view fluid conveying pipe.
In order to further study volume fraction index n and dimensionless scale parameter Do/ l is to micron functionally gradient pipeline stabilization The influence of property, in different scale parameter Do/l(Do/ l=1,2,5,10) under effect, dimensionless critical flow velocity udRefer to volume fraction The variation of number n is as shown in figure 12, also gives the result calculated by classical beam theory (l=0) in figure simultaneously.Figure 13 gives Under different volumes fractional exponent n (n=0,1,10,50) effect, nondimensional critical flow velocity udWith scale parameter DoThe variation of/l.
It can be recognized from fig. 12 that the critical flow velocity ratio being calculated by modified coupling stress theory is by Classical Beam theoretical calculation Obtained value is big.This is because a micron effective rigidity for functionally gradient pipeline can be improved in scale parameter.With dimensionless scale Parameter Do/ l increases to 10 from 1, and nondimensional critical flow velocity strongly reduces, and finally converges to the knot calculated by classical theory Fruit.It can be recognized from fig. 12 that critical flow velocity is with scale parameter DoThe increase of/l and reduce, as scale parameter DoBehind/l > 10, by The critical flow velocity that modified coupling stress theory calculates gradually levels off to a certain fixed value.It can be seen from the results above that being answered by coupling Scale effect caused by power only just has a significant impact when line size is with test-material yardstick parameter similar.When dimensionless scale Larger (the D of parametero/ l > 10) when, i.e., when pipe diameter is much larger than test-material yardstick parameter, it is calculated by amendment coupling stress theory Result converge on the result being calculated by classical theory.
On the other hand, from Figure 12 it can also be seen that critical flow velocity increases with the increase of volume fraction index n, especially It is as n < 10, critical flow velocity is increased rapidly with the increase of index n.As index n is further increased, to critical flow velocity Influence be also gradually reduced, as index n=50, critical flow velocity has leveled off to a constant.This and macroscopical micron function are terraced The result for spending pipeline is similar.
Engineering in practice, the Support Position of pipeline clamp is usually limited by ambient enviroment, and cannot equably be divided Cloth is in entire pipe-line system.Therefore need to study influence of the position of pipeline support clip to fluid conveying pipe stability.At this In example, it is assumed that support 2 and support 3 in Fig. 6 move (0≤L from the both ends of pipeline toward pipeline midpoint respectively1=L2≤L/2)。 Under different volumes fractional exponent n (n=0,1,10,50) effect, micron functionally gradient pipeline (Do/ l=100) critical flow velocity With udSupport Position L1The variation of/L is as shown in figure 14.
As seen from Figure 14, work as L1/ L=0 and when volume fraction index n=0, the critical flow velocity of pipeline is 3.142 ≈ π (analytic solutions that π is both ends freely-supported fluid conveying pipe critical flow velocity).In fact, working as L1When/L=0, the support 2 and 3 in Fig. 6 is distinguished With support 1 and 4 be overlapped, indicate at this time three across defeated streaming system degenerate be single span Pipe Conveying Fluid, and index n=0 indicate it is micro- It is homogeneous material pipeline, while nondimensional scale parameter D that rice functionally gradient pipeline, which is also degenerated,o/ l=100 is indicated at this time by repairing The result that positive coupling stress theory calculates has converged on the result calculated by classical theory.Therefore faced by what context of methods calculated Boundary's flow velocity 3.142 and the analytic solutions of single span homogeneous material fluid conveying pipe critical flow velocity are very identical.This is also demonstrated again herein The correctness of analysis method.From Figure 14 it can also be seen that working as location parameter L1When/L is approximately equal to 0.33, entire pipe-line system has most Big critical flow velocity.This is because for three across fluid conveying pipe, when intermediate supports are uniformly distributed on pipeline, entirely The rigidity of system is maximum.From Figure 14 it is also found that working as location parameter L1/ L from zero increase to a small value when, pipe-line system Critical flow velocity also has an increase sharply, it can be seen that, for single span pipeline, even if increasing in its both ends neighbouring position Add support clip that can also greatly improve the stability of Pipe Conveying Fluid, while also illustrating that multispan support can compared to single span support To significantly improve the stability of Pipe Conveying Fluid.
In order to study influence of the clip support number to micron functionally gradient pipeline stability, Figure 15 gives nondimensional Critical flow velocity udWith the variation (D of pipeline support numbero/ l=100).In this example, support clip is distributed evenly at whole In a pipe-line system.It is seen from figure 14 that when support number is in the range of 10, as support sizes purpose increases, pipe conveying fluid The critical flow velocity in road shows linear rising on the whole.It should be pointed out that being indicated micro- at this time when supporting number is 2 Rice functionally gradient pipe-line system is single span pipeline, and when supporting number is 3, pipeline is two across pipeline at this time.It can be sent out from Figure 15 It is existing, when pipeline by single span pipeline be transitioned into two it is across pipeline when, the critical flow velocity of pipeline increased dramatically at this time, and when pipe-line system by Two across pipeline be transitioned into three it is across pipeline when, the variation of critical flow velocity is not obvious.Hereafter with the increase of pipeline support number, pipe The critical flow velocity of road system substantially shows linear increase.On the whole, the support number for increasing fluid conveying pipe can be significant The rigidity of pipe-line system is improved, and expands a micron stability region for functionally gradient pipeline.These results are to design micron order pipeline System has reference.
In addition, although describing each step of method in the disclosure in the accompanying drawings with particular order, this does not really want These steps must be executed in this particular order by asking or implying, or having to carry out step shown in whole could realize Desired result.Additional or alternative, it is convenient to omit multiple steps are merged into a step and executed by certain steps, and/ Or a step is decomposed into execution of multiple steps etc..
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure His embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or Adaptive change follow the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure or Conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by claim It points out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the attached claims.

Claims (10)

1. a kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic characterized by comprising
Mechanics parameter, dimensional parameters and the installation parameter of micron functionally gradient pipeline are obtained, the mechanics parameter includes described The elasticity modulus of two kinds of components, density, Poisson's ratio in micron functionally gradient pipeline, the dimensional parameters include the micron function Internal diameter, outer diameter and the length of gradient pipeline, the installation parameter include the number of nodes for supporting the micron functionally gradient pipeline The distance of amount and adjacent node;
According to modified coupling stress theory, the strain energy formulation of the micron functionally gradient pipeline configuration is established;
According to the strain energy formulation, using Hamiton's principle derive the differential equation of motion of the micron functionally gradient pipeline with And establish boundary condition;
Using hybrid method according to the solution of the mechanics parameter of the micron functionally gradient pipeline, dimensional parameters and installation parameter Differential equation of motion, and then solve the intrinsic frequency of the micron functionally gradient pipeline.
2. the prediction technique of function pipeline fluid structurecoupling inherent characteristic according to claim 1, which is characterized in that establish institute Stating a micron strain energy formulation for functionally gradient pipeline configuration includes:
Establish formula
Wherein,UmFor strain Can, E is elasticity modulus, and I is the moment of inertia, and μ is modulus of shearing, and A is the cross section of micron functionally gradient pipeline, and l is test-material yardstick Parameter, w are the displacement of target point in a z-direction, and L is the length of micron functionally gradient pipeline, and x is the seat of target point in the x direction Mark, z are the coordinate of target point in a z-direction, RoAnd RiA micron outer diameter and inner diameter for functionally gradient pipeline is respectively indicated, r is target The radius of point, θ is rotating vector.
3. the prediction technique of function pipeline fluid structurecoupling inherent characteristic according to claim 2, which is characterized in that the moment of inertia
4. the prediction technique of function pipeline fluid structurecoupling inherent characteristic according to claim 2, which is characterized in that according to institute Strain energy formulation is stated, the differential equation of motion of the micron functionally gradient pipeline is derived using Hamiton's principle, comprising:
Establish the Lagrangian of the micron functionally gradient pipeline: lc=Tp+Tf-Um, wherein TpFor the micron function ladder Spend the kinetic energy of pipeline, TfFor the kinetic energy of the micron functionally gradient fluids within pipes;
Equation is established according to Hamiton's principle:
According to equationDerive the differential equation of motion of the micron functionally gradient pipeline:
Wherein, m*For the quality of micron functionally gradient pipeline unit length, MfFor micron functionally gradient fluids within pipes unit length Quality, U be micron functionally gradient fluids within pipes speed.
5. the prediction technique of function pipeline fluid structurecoupling inherent characteristic according to claim 4, which is characterized in that establish side Boundary's condition includes:
Establish formula:
6. the prediction technique of function pipeline fluid structurecoupling inherent characteristic according to claim 5, which is characterized in that utilize miscellaneous Friendship method solves the motion side according to the mechanics parameter, dimensional parameters and installation parameter of the micron functionally gradient pipeline Journey, and then solve the intrinsic frequency of the micron functionally gradient pipeline, comprising:
Control the Fourier transform pairs of the solution w (x, t) of the differential equation of motion are as follows:
It willThe differential equation of motion is brought into obtain:
Set equationIn frequency domain Solution beWherein, c is undetermined constant, and k is wave number, and willIt brings intoObtain equation [(EI)*+(μ A)*l2]k4-MfU2k2-2ωMfUk-ω2(Mf+m*)=0 is set equation [(EI)*+(μA)*l2]k4-MfU2k2-2ωMfUk-ω2 (Mf+m*Solution on the lateral displacement of)=0 in frequency domain is
7. the prediction technique of function pipeline fluid structurecoupling inherent characteristic according to claim 6, which is characterized in that utilize miscellaneous Friendship method solves the motion side according to the mechanics parameter, dimensional parameters and installation parameter of the micron functionally gradient pipeline Journey, and then solve the intrinsic frequency of the micron functionally gradient pipeline, further includes:
Formula d=Sa+s is established according to passback ray theory, wherein S is global collision matrix;S is global wave source matrix;
Formula a=PUd is established according to wave propagation method theory, wherein
TqLIt is q across the left propogator matrix of unit, TqRFor across the unit right side q Propogator matrix 02×2For 2 × 2 null matrix, I2×2For 2 × 2 unit matrix;
Formula (I-R) d=s is obtained in conjunction with formula d=Sa+s and a=PUd, wherein the passback ray of micron functionally gradient pipeline Matrix R=SPU;
According to formula h (ω)=| I-R |=0 solves the intrinsic frequency of the micron functionally gradient pipeline.
8. the prediction technique of function pipeline fluid structurecoupling inherent characteristic according to claim 7, which is characterized in that s=0.
9. the prediction technique of function pipeline fluid structurecoupling inherent characteristic according to claim 7, which is characterized in that the overall situation dissipates Penetrate matrixWherein, SnFor the collision matrix at node n.
10. the prediction technique of function pipeline fluid structurecoupling inherent characteristic according to claim 7, which is characterized in that according to Formula h (ω)=| I-R |=0 solves the intrinsic frequency of the micron functionally gradient pipeline, comprising:
Draw the curve that h (ω) changes with ω;
When the real and imaginary parts of h (ω) are simultaneously zero, corresponding ω is the intrinsic frequency of the micron functionally gradient pipeline Rate.
CN201811571918.6A 2018-12-21 2018-12-21 A kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic Pending CN109740211A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811571918.6A CN109740211A (en) 2018-12-21 2018-12-21 A kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811571918.6A CN109740211A (en) 2018-12-21 2018-12-21 A kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic

Publications (1)

Publication Number Publication Date
CN109740211A true CN109740211A (en) 2019-05-10

Family

ID=66360993

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811571918.6A Pending CN109740211A (en) 2018-12-21 2018-12-21 A kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic

Country Status (1)

Country Link
CN (1) CN109740211A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110705076A (en) * 2019-09-25 2020-01-17 哈尔滨理工大学 Method for solving fracture problem of functional gradient piezoelectric material with arbitrary attributes
CN110704960A (en) * 2019-08-19 2020-01-17 东北大学 Method and device for calculating natural frequency of three-layer cylindrical shell, storage medium and computer equipment
CN110866354A (en) * 2019-11-08 2020-03-06 大连理工大学 Optimized design method of polymer vascular stent structure considering scale effect
CN112100892A (en) * 2020-09-18 2020-12-18 哈尔滨工业大学(威海) Prediction method for natural frequency of in-band flow flexible pipeline under different boundary conditions
CN112484840A (en) * 2020-10-21 2021-03-12 暨南大学 Method for calculating natural vibration natural frequency of marine pipeline

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1656360A (en) * 2002-04-10 2005-08-17 塞德拉公司 Probe for measuring parameters of a flowing fluid and/or multiphase mixture
US20080105039A1 (en) * 2006-11-07 2008-05-08 International Business Machines Corporation System and methods for predicting failures in a fluid delivery system
CN103853920A (en) * 2014-02-24 2014-06-11 昆明理工大学 Prediction method for dynamic characteristics of fluid conveying multiwalled carbon nanotube

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1656360A (en) * 2002-04-10 2005-08-17 塞德拉公司 Probe for measuring parameters of a flowing fluid and/or multiphase mixture
US20080105039A1 (en) * 2006-11-07 2008-05-08 International Business Machines Corporation System and methods for predicting failures in a fluid delivery system
CN103853920A (en) * 2014-02-24 2014-06-11 昆明理工大学 Prediction method for dynamic characteristics of fluid conveying multiwalled carbon nanotube

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
JIAQUAN DENG, ET AL.: "Size‑dependent vibration analysis of multi-span functionally graded material micropipes conveying fuid using a hybrid method", 《MICROFUID NANOFUID》, 21 July 2017 (2017-07-21), pages 1 - 5, XP036303153, DOI: 10.1007/s10404-017-1967-7 *
JIAQUAN DENG,ET AL.: "Stability analysis of multi-span viscoelastic functionally graded material pipes conveying fluid using a hybrid method", 《EUROPEAN JOURNAL OF MECHANICS A/SOLIDS》, 27 April 2017 (2017-04-27), pages 3 *
赵永照 等编: "《材料力学教程》", 28 February 2012, 武汉大学出版社, pages: 257 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110704960A (en) * 2019-08-19 2020-01-17 东北大学 Method and device for calculating natural frequency of three-layer cylindrical shell, storage medium and computer equipment
CN110705076A (en) * 2019-09-25 2020-01-17 哈尔滨理工大学 Method for solving fracture problem of functional gradient piezoelectric material with arbitrary attributes
CN110866354A (en) * 2019-11-08 2020-03-06 大连理工大学 Optimized design method of polymer vascular stent structure considering scale effect
CN110866354B (en) * 2019-11-08 2021-08-20 大连理工大学 Optimized design method of polymer vascular stent structure considering scale effect
CN112100892A (en) * 2020-09-18 2020-12-18 哈尔滨工业大学(威海) Prediction method for natural frequency of in-band flow flexible pipeline under different boundary conditions
CN112100892B (en) * 2020-09-18 2023-08-18 哈尔滨工业大学(威海) Method for predicting natural frequency of in-band flow flexible pipeline under different boundary conditions
CN112484840A (en) * 2020-10-21 2021-03-12 暨南大学 Method for calculating natural vibration natural frequency of marine pipeline
CN112484840B (en) * 2020-10-21 2022-08-09 暨南大学 Method for calculating natural vibration natural frequency of marine pipeline

Similar Documents

Publication Publication Date Title
CN109740211A (en) A kind of prediction technique of function pipeline fluid structurecoupling inherent characteristic
Zhang et al. Using Fourier differential quadrature method to analyze transverse nonlinear vibrations of an axially accelerating viscoelastic beam
Zhang et al. FSI analysis of liquid-filled pipes
Lavooij et al. Fluid-structure interaction in liquid-filled piping systems
Bu et al. Innovative bridge condition assessment from dynamic response of a passing vehicle
Ghafoori et al. Dynamic analysis of laminated composite plates traversed by a moving mass based on a first-order theory
Wang et al. Force measurement using strain-gauge balance in a shock tunnel with long test duration
CN108763628A (en) The design method and device of multispan functionally gradient fluid conveying pipe
Yao et al. Free vibration and wave propagation of axially moving functionally graded Timoshenko microbeams
Guo et al. Dynamic analysis of space frames: The method of reverberation-ray matrix and the orthogonality of normal modes
Deng et al. Size-dependent vibration analysis of multi-span functionally graded material micropipes conveying fluid using a hybrid method
Zhao et al. Free vibration analysis of multi-span Timoshenko beams using the assumed mode method
Zhang et al. A non-classical model for circular cylindrical thin shells incorporating microstructure and surface energy effects
Housiadas et al. Viscoelastic shear flow past an infinitely long and freely rotating cylinder
Shaban Ali Nezhad et al. Flexural–flexural–extensional–torsional vibration analysis of composite spinning shafts with geometrical nonlinearity
Cheng et al. A peridynamic model for analyzing fracture behavior of functionally graded materials used as an interlayer
Miao et al. Developed reverberation-ray matrix analysis on transient responses of laminated composite frame based on the first-order shear deformation theory
Heydarpour et al. Dynamic stability of cylindrical nanoshells under combined static and periodic axial loads
Cheung et al. Vibration analysis of symmetrically laminated rectangular plates with intermediate line supports
Hou et al. The free vibration analysis of carbon nanotubes-reinforced deep conical shells with an intermediate ring support under various boundary conditions
Miao et al. Reverberation-ray matrix analysis of the transient dynamic responses of asymmetrically laminated composite beams based on the first-order shear deformation theory
Gao et al. Spectro-geometric solutions for random vibration of functionally graded graphene platelet reinforced conical shells
Xu et al. Investigations on large-amplitude vibrations of rigid models using a novel testing device
Jiang et al. Three-dimensional dynamics and synchronization of two coupled fluid-conveying pipes with intermediate springs
Sapsathiarn et al. Finite-element modeling of circular nanoplates

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190510

RJ01 Rejection of invention patent application after publication