CN112818494A - Functional gradient flow pipe modal and response analysis method based on differential quadrature method - Google Patents

Functional gradient flow pipe modal and response analysis method based on differential quadrature method Download PDF

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CN112818494A
CN112818494A CN202110185534.6A CN202110185534A CN112818494A CN 112818494 A CN112818494 A CN 112818494A CN 202110185534 A CN202110185534 A CN 202110185534A CN 112818494 A CN112818494 A CN 112818494A
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formula
functional gradient
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戴嘉茵
杨欣
刘永寿
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Northwestern Polytechnical University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/18Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • 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
    • G06F17/13Differential equations
    • 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
    • G06F17/16Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/28Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/08Fluids
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/14Pipes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14Force analysis or force optimisation, e.g. static or dynamic forces

Abstract

The invention discloses a functional gradient flow pipe mode and response analysis method based on a differential integration method, which comprises the steps of firstly establishing a functional gradient flow pipe vibration control differential equation, and then carrying out discrete format construction on the functional gradient flow pipe vibration control differential equation by applying the idea of the differential integration method to obtain a vibration equation and a discrete structure of boundary conditions; then, analyzing the natural frequency and solving the array type to further obtain the natural vibration mode of the continuous system; and finally, solving a control equation obtained by dispersing by using a differential product-solving method in a time domain by using a time domain analysis method and a numerical iteration method to obtain the dynamic response of the system. The invention applies the differential quadrature method to the dynamic response solving and calculating method of the functional gradient flow transmission pipeline, and can solve the problem of analyzing the inherent property, the inherent vibration mode and the dynamic response of the pipeline quickly and efficiently.

Description

Functional gradient flow pipe modal and response analysis method based on differential quadrature method
Technical Field
The invention belongs to the technical field of fluid dynamics, and particularly relates to a method for analyzing inherent properties and dynamic response of a pipeline.
Background
The research on the dynamics mechanism of the fluid transmission pipeline is always the focus of academia, and the numerical method and means for analyzing the dynamics model are also the focus of attention of people all the time. Firstly, a motion equation or a control equation of the system needs to be obtained, the solution can be carried out after the motion equation is derived, and various numerical methods provided by the academic community mainly comprise a Galerkin method, a finite element method, a transfer matrix method, a differential product method and the like. The Galerkin method adopts a weak form corresponding to a differential equation, discretizes a high-order partial differential equation and reduces the order of the high-order partial differential equation into a low-order ordinary differential equation set, but the Galerkin method for analyzing the nonlinear model of the flow transmission pipeline needs to adopt 4-order or more modal truncation, so that enough precision can be ensured; the finite element method has enough high precision but slow operation speed; the transfer matrix method uses a matrix to describe the relationship between output and input in a multi-input multi-output linear system, is suitable for the calculation of a chain structure, but has a complicated calculation process; the differential integration method uses the function values of the selected nodes to perform weighted summation to represent the function values and derivatives of all the functions in the universe, and further performs the description of the function values and the derivatives of each point by representing the weight coefficients through reasonable trial functions.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a functional gradient flow pipe modal and response analysis method based on a differential integration method, firstly, a functional gradient flow pipe vibration control differential equation is established, then, the idea of the differential integration method is applied to carry out discrete format construction on the functional gradient flow pipe vibration control differential equation, and a discrete structure of a vibration equation and a boundary condition is obtained; then, analyzing the natural frequency and solving the array type to further obtain the natural vibration mode of the continuous system; and finally, solving a control equation obtained by dispersing by using a differential product-solving method in a time domain by using a time domain analysis method and a numerical iteration method to obtain the dynamic response of the system. The invention applies the differential quadrature method to the dynamic response solving and calculating method of the functional gradient flow transmission pipeline, and can solve the problem of analyzing the inherent property, the inherent vibration mode and the dynamic response of the pipeline quickly and efficiently.
The technical scheme adopted by the invention for solving the technical problem comprises the following steps:
step 1: establishing a differential equation for controlling vibration of the functionally gradient fluid delivery pipeline with two fixed branches at two ends;
the outer diameter of the functional gradient flow transmission pipeline is d, the wall thickness is h, the length is L, the flow velocity of internal fluid is u, the axial direction of the pipeline is taken as an x axis, and the radial direction of the section of the pipeline is taken as a z axis;
selecting a volume fraction function as an exponential function form V1By dimensionless quantities
Figure BDA0002942918220000021
Expressed as:
Figure BDA0002942918220000022
wherein a represents a parameter for adjusting the distribution of the exponential type body integral number function;
the functional gradient flow transmission pipeline consists of two materials, namely a material 1 and a material 2; volume fraction function of material 1 and material 2 is represented by V0(x) And VL(x) Shows, let V0(x)+VL(x) 1, the elastic modulus E, the density rho and the axial thermal expansion coefficient alpha of the functionally graded flow transmission pipelinexRespectively expressed as:
E=E(x)=V0(x)E0+VL(x)EL (2)
ρ=ρ(x)=V0(x)ρ0+VL(x)ρL (3)
αx=ρ(x)=V0(x)αx0+VL(x)αxL (4)
wherein E is0And ELRespectively representing the elastic moduli, ρ, of the materials 1 and 20And ρLDenotes the density, alpha, of material 1 and material 2, respectivelyx0And alphaxLRespectively representing the thermal expansion coefficients of material 1 and material 2;
the stress balance of the pipeline on the z axis is as follows:
Figure BDA0002942918220000023
wherein m isp=ρ(x)ApRepresents the unit length mass of the functional gradient flow transmission pipeline, ApRepresenting the cross-sectional area of the functional gradient flow transmission pipeline; w represents the lateral displacement of the neutral plane of the pipe, P represents the fluid force per unit length, i.e. the normal force,
Figure BDA0002942918220000024
consists of three terms of centrifugal force, Coriolis force and inertia force, mf=ρ(x)AfDenotes the mass per unit length of the fluid, AfRepresents the cross-sectional area of the fluid; q represents the shear force on the interface of the functional gradient flow transmission pipeline; f (x, t) Nx=Nm+NtIndicating axial force, NmAnd NtRespectively representing the axial force brought by mechanical action and the axial force brought by temperature change; θ represents a turning angle;
the mid-point bending moment balance at the right end of the interface is as follows:
Figure BDA0002942918220000025
wherein M represents a bending moment;
assuming an initial axial force N in a functionally gradient fluid delivery conduitm=0,
Figure BDA0002942918220000026
For acting on functional gradients due to temperature changesAxial force on the flow delivery pipe, v is the poisson ratio, and Δ T represents the temperature change; obtaining corners by Euler-Bernoulli Beam theory
Figure BDA0002942918220000031
The bending moment M is as follows:
Figure BDA0002942918220000032
wherein I represents the second moment of the cross section of the pipeline;
then equation (5) is expressed as:
Figure BDA0002942918220000033
the formula (8) is a vibration control equation of the functional gradient flow transmission pipeline;
according to the boundary condition of two fixed branches:
Figure BDA0002942918220000034
wherein w (x, t) represents the value of the transverse displacement at the position where the axial coordinate is x and the time coordinate is t;
introducing dimensionless quantities:
Figure BDA0002942918220000035
the simplified control equation obtained by bringing formula (10) into formula (8) is:
Figure BDA0002942918220000036
the boundary conditions are then expressed as:
Figure BDA0002942918220000037
wherein Y (X, tau) represents the value of the dimensionless transverse displacement at the position where the dimensionless axial coordinate is X and the dimensionless time coordinate is tau;
step 2: constructing a vibration control equation discrete format of the functional gradient flow transmission pipeline;
according to the differential quadrature method, the derivative value of the function can be approximated by a weighted linear sum of the function values, and the Fung node is selected to obtain a corresponding weighting coefficient matrix:
Figure BDA0002942918220000041
Figure BDA0002942918220000042
wherein x (i), i ═ 1,2, …, N0When represents an internal node, i ═ N0+1, …, where N denotes the boundary node and N is the total number of nodes;
consider the continuous differentiable one-dimensional function f (x) over the interval [ a, b ], the derivative of f (x) being expressed as:
Figure BDA0002942918220000043
wherein L isnFor a linear differential operator, n represents the order of the differential,
Figure BDA0002942918220000044
representing a weighting coefficient, xjIs N mutually different nodes a ═ x1<x2<…<xNB is the coordinate value of the jth node;
the accuracy of equation (15) depends on the number of nodes and the weighting coefficients; the weighting coefficients for the first derivative are:
Figure BDA0002942918220000045
wherein lj(x) Is a LagA Langi interpolation function;
the higher order weight coefficients are calculated by the recurrence formula (17):
Figure BDA0002942918220000046
the vibration control equation (11) of the functionally gradient delivery conduit is rewritten as the following discrete form:
Figure BDA0002942918220000047
where subscript b represents a boundary point, d represents an inter-block interior point,
Figure BDA0002942918220000048
and
Figure BDA0002942918220000049
a block matrix, Y, representing the global stiffness matrix divided by internal nodes d and boundary nodes b, respectivelydAnd YbRespectively representing dimensionless lateral vibration displacements of the internal node d and the boundary node b,
Figure BDA00029429182200000410
and
Figure BDA00029429182200000411
a blocking matrix respectively representing the overall damping matrix divided by the internal node d and the boundary node b,
Figure BDA00029429182200000412
and
Figure BDA00029429182200000413
a block matrix respectively representing an overall quality matrix divided by an internal node d and a boundary node b;
and step 3: analyzing natural frequency and solving array type;
let the solution of equation (18) have the form:
Figure BDA0002942918220000051
wherein
Figure BDA0002942918220000052
Is the amplitude of the functionally graded fluid delivery conduit, and Re (ω) represents the vibration frequency of the system;
substitution of formula (19) for formula (18) and elimination
Figure BDA0002942918220000053
Then, the generalized eigenvalue problem is obtained:
Figure BDA0002942918220000054
wherein
Figure BDA0002942918220000055
A quality matrix representing the system is shown,
Figure BDA0002942918220000056
a damping matrix representing the system is shown,
Figure BDA0002942918220000057
is the stiffness matrix of the system;
the discrete governing equation (18) is written as the equivalent of:
Figure BDA0002942918220000058
substituting equation (19) into equation (21) yields a discrete displacement eigenmode:
Figure BDA0002942918220000059
namely, the secondary eigenvalue problem of the formula (20) is converted into a primary eigenvalue problem; wherein omega is a complex characteristic value of the system and is used for analyzing stability, the imaginary part of omega represents the damping of each order of natural vibration mode, and the real part of omega represents the natural frequency of vibration; carrying out Lagrange interpolation fitting on the discrete displacement intrinsic vibration mode to obtain the intrinsic vibration mode of the continuous system;
and 4, step 4: a time domain analysis method;
rewriting equation (18) to the form:
Figure BDA00029429182200000510
wherein the content of the first and second substances,
Figure BDA00029429182200000511
in the time region of t-t + Δ t, the Newmark integration method adopts the following iterative format, namely:
Figure BDA00029429182200000512
Figure BDA00029429182200000513
wherein phi and chi are parameters determined according to the requirements of integration precision and stability respectively;
displacement solution { eta } of time t + delta t in Newmark integration methodt+ΔtIs obtained by satisfying the equation of motion at time t + Δ t, i.e., by equation (26):
Figure BDA0002942918220000061
obtained from formula (25):
Figure BDA0002942918220000062
bringing formula (27) into formula (24), and bringing the resulting formula into formula (26) with formula (24) to obtain a formula of { η }t,
Figure BDA0002942918220000063
Calculating { eta }t+ΔtThe recurrence formula of (c):
Figure BDA0002942918220000064
carrying out iterative solution on the initial conditions to obtain a dimensionless displacement response { eta } and a dimensionless speed response of the system
Figure BDA0002942918220000065
And dimensionless acceleration response
Figure BDA0002942918220000066
According to the definition of axial stress in a nominal stress method, the relation between the shear stress and node displacement is obtained as follows:
Figure BDA0002942918220000067
wherein M '(x) is a bending moment of a cross section at an x-coordinate, Q' (x) is a shear force on the cross section at the x-coordinate,
Figure BDA0002942918220000068
Iyis the moment of inertia of the cross-section to the neutral axis y, z is the distance from the median plane in the height direction, b is the width of the cross-section at the desired shear stress,
Figure BDA0002942918220000069
the area A of the outer part at the required shear stress*Static moment on the neutral axis, i.e.:
Figure BDA00029429182200000610
Figure BDA00029429182200000611
the above process is the dynamic response analysis of the functional gradient fluid transmission pipeline.
The invention has the following beneficial effects:
the invention provides a calculation process of the natural frequency of the pipeline vibration under the given boundary condition, the natural vibration mode corresponding to the natural frequency, the time domain displacement response of the transverse vibration under the given boundary condition and the initial condition and the time domain stress response based on a differential quadrature method under the condition that the equivalent material property changes along the length direction of the pipeline, and provides effective kinetic theoretical reference for the design and the application of the axial functional gradient pipeline.
Drawings
FIG. 1 is a schematic view of a piping model of the process of the present invention.
FIG. 2 is a diagram of the infinitesimal force analysis of the method of the present invention.
FIG. 3 is a schematic illustration of the calculation of the static moment according to the method of the present invention.
FIG. 4 is a flow chart of the calculation of the method of the present invention.
Detailed Description
The invention is further illustrated with reference to the following figures and examples.
A functional gradient flow pipe modal and response analysis method based on a differential quadrature method comprises the following steps:
step 1: establishing a differential equation for controlling vibration of the functionally gradient fluid delivery pipeline with two fixed branches at two ends;
as shown in fig. 1, the outer diameter of the functionally gradient fluid delivery pipe is d, the wall thickness is h, the length is L, the flow velocity of the internal fluid is u, the axial direction of the pipe is taken as an x axis, and the radial direction of the section of the pipe is taken as a z axis;
selecting a volume fraction function as an exponential function form V1By dimensionless quantities
Figure BDA0002942918220000071
Expressed as:
Figure BDA0002942918220000072
wherein a represents a parameter for adjusting the distribution of the exponential type body integral number function;
the functional gradient flow transmission pipeline consists of two materials, namely a material 1 and a material 2; volume fraction function of material 1 and material 2 is represented by V0(x) And VL(x) Shows, let V0(x)+VL(x) 1, the elastic modulus E, the density rho and the axial thermal expansion coefficient alpha of the functionally graded flow transmission pipelinexRespectively expressed as:
E=E(x)=V0(x)E0+VL(x)EL (2)
ρ=ρ(x)=V0(x)ρ0+VL(x)ρL (3)
αx=ρ(x)=V0(x)αx0+VL(x)αxL (4)
wherein E is0And ELRespectively representing the elastic moduli, ρ, of the materials 1 and 20And ρLDenotes the density, alpha, of material 1 and material 2, respectivelyx0And alphaxLRespectively representing the thermal expansion coefficients of material 1 and material 2;
the stress balance of the pipeline on the z axis is as follows:
Figure BDA0002942918220000073
wherein m isp=ρ(x)ApRepresents the unit length mass of the functional gradient flow transmission pipeline, ApRepresenting the cross-sectional area of the functional gradient flow transmission pipeline; w represents the lateral displacement of the neutral plane of the pipe, P represents the fluid force per unit length, i.e. the normal force,
Figure BDA0002942918220000081
consists of three terms of centrifugal force, Coriolis force and inertia force, mf=ρ(x)AfDenotes the mass per unit length of the fluid, AfRepresents the cross-sectional area of the fluid; q represents the shear force on the interface of the functional gradient flow transmission pipeline; f (x, t) Nx=Nm+NtIndicating axial force, NmAnd NtRespectively representing the axial force brought by mechanical action and the axial force brought by temperature change; θ represents a turning angle;
the mid-point bending moment balance at the right end of the interface is as follows:
Figure BDA0002942918220000082
wherein M represents a bending moment;
assuming an initial axial force N in a functionally gradient fluid delivery conduitm=0,
Figure BDA0002942918220000083
V is the poisson's ratio, and Δ T represents the temperature change, which is the axial force acting on the functional gradient delivery conduit due to the temperature change; obtaining corners by Euler-Bernoulli Beam theory
Figure BDA0002942918220000084
The bending moment M is as follows:
Figure BDA0002942918220000085
wherein I represents the second moment of the cross section of the pipeline;
then equation (5) is expressed as:
Figure BDA0002942918220000086
the formula (8) is a vibration control equation of the functional gradient flow transmission pipeline;
according to the boundary condition of two fixed branches:
Figure BDA0002942918220000087
wherein w (x, t) represents the value of the transverse displacement at the position where the axial coordinate is x and the time coordinate is t;
introducing dimensionless quantities:
Figure BDA0002942918220000088
Figure BDA0002942918220000091
the simplified control equation obtained by bringing formula (10) into formula (8) is:
Figure BDA0002942918220000092
the boundary conditions are then expressed as:
Figure BDA0002942918220000093
wherein Y (X, tau) represents the value of the dimensionless transverse displacement at the position where the dimensionless axial coordinate is X and the dimensionless time coordinate is tau;
step 2: constructing a vibration control equation discrete format of the functional gradient flow transmission pipeline;
according to the differential quadrature method, the derivative value of the function can be approximated by a weighted linear sum of the function values, and the Fung node is selected to obtain a corresponding weighting coefficient matrix:
Figure BDA0002942918220000094
Figure BDA0002942918220000095
wherein x (i), i ═ 1,2, …, N0When represents an internal node, i ═ N0+1, …, where N denotes the boundary node and N is the total number of nodes;
consider the continuous differentiable one-dimensional function f (x) over the interval [ a, b ], the derivative of f (x) being expressed as:
Figure BDA0002942918220000096
wherein L isnFor a linear differential operator, n represents the order of the differential,
Figure BDA0002942918220000097
representing a weighting coefficient, xjIs N mutually different nodes a ═ x1<x2<…<xNB is the coordinate value of the jth node;
the accuracy of equation (15) depends on the number of nodes and the weighting coefficients; the weighting coefficients for the first derivative are:
Figure BDA0002942918220000098
wherein lj(x) Is a lagrange interpolation function;
the higher order weight coefficients are calculated by the recurrence formula (17):
Figure BDA0002942918220000101
the vibration control equation (11) of the functionally gradient delivery conduit is rewritten as the following discrete form:
Figure BDA0002942918220000102
where subscript b represents a boundary point, d represents an inter-block interior point,
Figure BDA0002942918220000103
and
Figure BDA0002942918220000104
a block matrix, Y, representing the global stiffness matrix divided by internal nodes d and boundary nodes b, respectivelydAnd YbRespectively representing dimensionless lateral vibration displacements of the internal node d and the boundary node b,
Figure BDA0002942918220000105
and
Figure BDA0002942918220000106
a blocking matrix respectively representing the overall damping matrix divided by the internal node d and the boundary node b,
Figure BDA0002942918220000107
and
Figure BDA0002942918220000108
a block matrix respectively representing an overall quality matrix divided by an internal node d and a boundary node b;
and step 3: analyzing natural frequency and solving array type;
let the solution of equation (18) have the form:
Figure BDA0002942918220000109
wherein
Figure BDA00029429182200001010
Is the amplitude of the functionally graded fluid delivery conduit, and Re (ω) represents the vibration frequency of the system;
substitution of formula (19) for formula (18) and elimination
Figure BDA00029429182200001011
Then, the generalized eigenvalue problem is obtained:
Figure BDA00029429182200001012
wherein
Figure BDA00029429182200001013
A quality matrix representing the system is shown,
Figure BDA00029429182200001014
a damping matrix representing the system is shown,
Figure BDA00029429182200001015
is the stiffness matrix of the system;
the discrete governing equation (18) is written as the equivalent of:
Figure BDA00029429182200001016
substituting equation (19) into equation (21) yields a discrete displacement eigenmode:
Figure BDA00029429182200001017
the second order eigenvalue problem of the formula (20) is converted into a first order eigenvalue problem, a complex eigenvalue and an eigenvector of the system can be obtained by solving, the damping and the frequency of the order natural vibration can be obtained from the eigenvalue, and the natural vibration mode of the discrete system corresponding to the order natural frequency can be obtained from the eigenvector corresponding to the eigenvalue; wherein omega is a complex characteristic value of the system and is used for analyzing stability, the imaginary part of omega represents the damping of each order of natural vibration mode, and the real part of omega represents the natural frequency of vibration; carrying out Lagrange interpolation fitting on the discrete displacement intrinsic vibration mode to obtain the intrinsic vibration mode of the continuous system;
and 4, step 4: a time domain analysis method;
rewriting equation (18) to the form:
Figure BDA0002942918220000111
wherein the content of the first and second substances,
Figure BDA0002942918220000112
in the time region of t-t + Δ t, the Newmark integration method adopts the following iterative format, namely:
Figure BDA0002942918220000113
Figure BDA0002942918220000114
wherein phi and chi are parameters determined according to the requirements of integration precision and stability respectively;
displacement solution { eta } of time t + delta t in Newmark integration methodt+ΔtIs obtained by satisfying the equation of motion at time t + Δ t, i.e., by equation (26):
Figure BDA0002942918220000115
obtained from formula (25):
Figure BDA0002942918220000116
bringing formula (27) into formula (24), and bringing the resulting formula into formula (26) with formula (24) to obtain a formula of { η }t
Figure BDA0002942918220000117
Calculating { eta }t+ΔtThe recurrence formula of (c):
Figure BDA0002942918220000118
carrying out iterative solution on the initial conditions to obtain a dimensionless displacement response { eta } and a dimensionless speed response of the system
Figure BDA0002942918220000119
And dimensionless acceleration response
Figure BDA00029429182200001110
According to the definition of axial stress in a nominal stress method, the relation between the shear stress and node displacement is obtained as follows:
Figure BDA0002942918220000121
wherein M '(x) is a bending moment of a cross section at an x-coordinate, Q' (x) is a shear force on the cross section at the x-coordinate,
Figure BDA0002942918220000122
Iyis the moment of inertia of the cross-section to the neutral axis y, z is the distance from the midplane in the height direction, b is the width of the cross-section at the desired shear stress, as shown in FIG. 3;
Figure BDA0002942918220000123
the area A of the outer part at the required shear stress*Static moment on the neutral axis, i.e.:
Figure BDA0002942918220000124
Figure BDA0002942918220000125
the above process is the dynamic response analysis of the functional gradient fluid transmission pipeline.
The specific embodiment is as follows:
referring to fig. 4, a flowchart of a method for calculating a dynamic response of a functionally gradient fluid delivery pipeline based on a differential integration method is provided, where the method includes: the system comprises six modules of description of functional gradient materials, infinitesimal stress analysis, establishment of a vibration control equation, construction of a discrete structure, selection of an iteration format and solution of dynamic response.
In the first module, a functionally graded material is described by selecting a suitable volume fraction function, including a representation of its volume fraction, system modulus of elasticity, system density, and system coefficient of thermal expansion. In the second module, the pipe structure infinitesimal shown in fig. 2 is taken to perform stress analysis on the pipe structure infinitesimal, including the balance of force and the balance of moment, so as to obtain a vibration control equation of the pipe. And in the third module, according to the thought of a differential integration method, selecting proper nodes and test functions to establish a weight function of the pipeline and discretizing a control equation.
In the fourth module, the determinant of the coefficient matrix of the discrete structure is taken as zero to calculate the eigenvalue and the eigenvector thereof, the imaginary part of the eigenvalue is the natural frequency, and the eigenvector is the natural vibration mode. And selecting an iteration format in a fifth module, expressing and solving the dimensionless displacement, speed and acceleration at the moment of t + delta t, and approximating the result to a system displacement response after iteration to certain precision. And in the sixth module, the dynamic response of the system can be obtained according to the relation between the stress and the strain and the node force and the node moment.

Claims (1)

1. A functional gradient flow tube modal and response analysis method based on a differential quadrature method is characterized by comprising the following steps:
step 1: establishing a differential equation for controlling vibration of the functionally gradient fluid delivery pipeline with two fixed branches at two ends;
the outer diameter of the functional gradient flow transmission pipeline is d, the wall thickness is h, the length is L, the flow velocity of internal fluid is u, the axial direction of the pipeline is taken as an x axis, and the radial direction of the section of the pipeline is taken as a z axis;
selecting a volume fraction function as an exponential function form V1By dimensionless quantities
Figure FDA0002942918210000011
Expressed as:
Figure FDA0002942918210000012
wherein a represents a parameter for adjusting the distribution of the exponential type body integral number function;
the functional gradient flow transmission pipeline consists of two materials, namely a material 1 and a material 2; volume fraction function of material 1 and material 2 is represented by V0(x) And VL(x) Shows, let V0(x)+VL(x) 1, the elastic modulus E, the density rho and the axial thermal expansion coefficient alpha of the functionally graded flow transmission pipelinexRespectively expressed as:
E=E(x)=V0(x)E0+VL(x)EL (2)
ρ=ρ(x)=V0(x)ρ0+VL(x)ρL (3)
αx=ρ(x)=V0(x)αx0+VL(x)αxL (4)
wherein E is0And ELRespectively representing the elastic moduli, ρ, of the materials 1 and 20And ρLDenotes the density, alpha, of material 1 and material 2, respectivelyx0And alphaxLRespectively representing the thermal expansion coefficients of material 1 and material 2;
the stress balance of the pipeline on the z axis is as follows:
Figure FDA0002942918210000013
wherein m isp=ρ(x)ApRepresents the unit length mass of the functional gradient flow transmission pipeline, ApRepresenting the cross-sectional area of the functional gradient flow transmission pipeline; w represents the lateral displacement of the neutral plane of the pipe, P represents the fluid force per unit length, i.e. the normal force,
Figure FDA0002942918210000014
consists of three terms of centrifugal force, Coriolis force and inertia force, and mf is rho (x) AfDenotes the mass per unit length of the fluid, AfRepresents the cross-sectional area of the fluid; q represents the interface of the functionally graded fluid transmission pipelineShearing force; f (x, t) Nx=Nm+NtIndicating axial force, NmAnd NtRespectively representing the axial force brought by mechanical action and the axial force brought by temperature change; θ represents a turning angle;
the mid-point bending moment balance at the right end of the interface is as follows:
Figure FDA0002942918210000021
wherein M represents a bending moment;
assuming an initial axial force N in a functionally gradient fluid delivery conduitm=0,
Figure FDA0002942918210000022
V is the poisson's ratio, and Δ T represents the temperature change, which is the axial force acting on the functional gradient delivery conduit due to the temperature change; obtaining corners by Euler-Bernoulli Beam theory
Figure FDA0002942918210000023
The bending moment M is as follows:
Figure FDA0002942918210000024
wherein I represents the second moment of the cross section of the pipeline;
then equation (5) is expressed as:
Figure FDA0002942918210000025
the formula (8) is a vibration control equation of the functional gradient flow transmission pipeline;
according to the boundary condition of two fixed branches:
Figure FDA0002942918210000026
wherein w (x, t) represents the value of the transverse displacement at the position where the axial coordinate is x and the time coordinate is t;
introducing dimensionless quantities:
Figure FDA0002942918210000027
Figure FDA0002942918210000028
Figure FDA0002942918210000029
the simplified control equation obtained by bringing formula (10) into formula (8) is:
Figure FDA00029429182100000210
the boundary conditions are then expressed as:
Y(0,τ)=Y(1,τ)=0
Figure FDA0002942918210000031
wherein Y (X, tau) represents the value of the dimensionless transverse displacement at the position where the dimensionless axial coordinate is X and the dimensionless time coordinate is tau;
step 2: constructing a vibration control equation discrete format of the functional gradient flow transmission pipeline;
according to the differential quadrature method, the derivative value of the function can be approximated by a weighted linear sum of the function values, and the Fung node is selected to obtain a corresponding weighting coefficient matrix:
Figure FDA0002942918210000032
Figure FDA0002942918210000033
wherein x (i), i ═ 1,2, …, N0When represents an internal node, i ═ N0+1, …, where N denotes the boundary node and N is the total number of nodes;
consider the continuous differentiable one-dimensional function f (x) over the interval [ a, b ], the derivative of f (x) being expressed as:
Figure FDA0002942918210000034
wherein L isnFor a linear differential operator, n represents the order of the differential,
Figure FDA0002942918210000035
representing a weighting coefficient, xjIs N mutually different nodes a ═ x1<x2<…<xNB is the coordinate value of the jth node;
the accuracy of equation (15) depends on the number of nodes and the weighting coefficients; the weighting coefficients for the first derivative are:
Figure FDA0002942918210000036
wherein lj(x) Is a lagrange interpolation function;
the higher order weight coefficients are calculated by the recurrence formula (17):
Figure FDA0002942918210000037
Figure FDA0002942918210000038
Figure FDA0002942918210000039
the vibration control equation (11) of the functionally gradient delivery conduit is rewritten as the following discrete form:
Figure FDA00029429182100000310
where subscript b represents a boundary point, d represents an inter-block interior point,
Figure FDA0002942918210000041
and
Figure FDA0002942918210000042
a block matrix, Y, representing the global stiffness matrix divided by internal nodes d and boundary nodes b, respectivelydAnd YbRespectively representing dimensionless lateral vibration displacements of the internal node d and the boundary node b,
Figure FDA0002942918210000043
and
Figure FDA0002942918210000044
a blocking matrix respectively representing the overall damping matrix divided by the internal node d and the boundary node b,
Figure FDA0002942918210000045
and
Figure FDA0002942918210000046
a block matrix respectively representing an overall quality matrix divided by an internal node d and a boundary node b;
and step 3: analyzing natural frequency and solving array type;
let the solution of equation (18) have the form:
Figure FDA0002942918210000047
wherein
Figure FDA0002942918210000048
Is the amplitude of the functionally graded fluid delivery conduit, and Re (ω) represents the vibration frequency of the system;
substitution of formula (19) for formula (18) and elimination
Figure FDA0002942918210000049
Then, the generalized eigenvalue problem is obtained:
Figure FDA00029429182100000410
wherein
Figure FDA00029429182100000411
A quality matrix representing the system is shown,
Figure FDA00029429182100000412
a damping matrix representing the system is shown,
Figure FDA00029429182100000413
is the stiffness matrix of the system;
the discrete governing equation (18) is written as the equivalent of:
Figure FDA00029429182100000414
substituting equation (19) into equation (21) yields a discrete displacement eigenmode:
Figure FDA00029429182100000415
namely, the secondary eigenvalue problem of the formula (20) is converted into a primary eigenvalue problem; wherein omega is a complex characteristic value of the system and is used for analyzing stability, the imaginary part of omega represents the damping of each order of natural vibration mode, and the real part of omega represents the natural frequency of vibration; carrying out Lagrange interpolation fitting on the discrete displacement intrinsic vibration mode to obtain the intrinsic vibration mode of the continuous system;
and 4, step 4: a time domain analysis method;
rewriting equation (18) to the form:
Figure FDA00029429182100000416
wherein the content of the first and second substances,
Figure FDA00029429182100000417
Figure FDA0002942918210000051
in the time region of t-t + Δ t, the Newmark integration method adopts the following iterative format, namely:
Figure FDA0002942918210000052
Figure FDA0002942918210000053
wherein phi and chi are parameters determined according to the requirements of integration precision and stability respectively;
displacement solution { eta } of time t + delta t in Newmark integration methodt+ΔtIs obtained by satisfying the equation of motion at time t + Δ t, i.e., by equation (26):
Figure FDA0002942918210000054
obtained from formula (25):
Figure FDA0002942918210000055
bringing formula (27) into formula (24), and bringing the resulting formula into formula (26) with formula (24) to obtain a formula of { η }t
Figure FDA0002942918210000056
Calculating { eta }t+ΔtThe recurrence formula of (c):
Figure FDA0002942918210000057
carrying out iterative solution on the initial conditions to obtain a dimensionless displacement response { eta } and a dimensionless speed response of the system
Figure FDA0002942918210000058
And dimensionless acceleration response
Figure FDA0002942918210000059
According to the definition of axial stress in a nominal stress method, the relation between the shear stress and node displacement is obtained as follows:
Figure FDA00029429182100000510
Figure FDA00029429182100000511
wherein M '(x) is a bending moment of a cross section at an x-coordinate, Q' (x) is a shear force on the cross section at the x-coordinate,
Figure FDA00029429182100000512
Iyis the moment of inertia of the cross-section to the neutral axis y, z is the distance from the median plane in the height direction, b is the width of the cross-section at the desired shear stress,
Figure FDA00029429182100000513
the area A of the outer part at the required shear stress*Static moment on the neutral axis, i.e.:
Figure FDA00029429182100000514
Figure FDA00029429182100000515
the above process is the dynamic response analysis of the functional gradient fluid transmission pipeline.
CN202110185534.6A 2021-02-10 2021-02-10 Functional gradient flow pipe modal and response analysis method based on differential quadrature method Pending CN112818494A (en)

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