CN-121999929-A - Interface parameter prediction method, device, equipment and medium for heterogeneous materials in marine pipeline

CN121999929ACN 121999929 ACN121999929 ACN 121999929ACN-121999929-A

Abstract

The application discloses a method, a device, equipment and a medium for predicting interface parameters of heterogeneous materials in a marine pipeline, which relate to the technical field of marine engineering and comprise the steps of establishing a layering model based on a plurality of thin layers of interface transition areas of target heterogeneous materials in the marine pipeline so as to construct a mesoscopic RVE model corresponding to each thin layer; and selecting a corresponding target analysis algorithm from the original Eshelby-MT algorithm and the corrected algorithm according to the characteristic size of the matrix in each mesoscopic RVE model, and predicting the mesoscopic interface parameters of the corresponding mesoscopic model by using the algorithm to obtain the macroscopic equivalent interface parameters of the target heterogeneous material in the marine pipeline. The coupling effect of the marine environment characteristics, the microstructure evolution of the material and the interface mechanical behavior is considered, and the trans-scale correlation from the microcosmic mechanism to the macroscopic performance is established so as to accurately predict the interface parameters of the heterogeneous material.

Inventors

ZHANG YU
Yao shuang
CAO TING
LIU DEPENG
WU PICHENG

Assignees

中国石油大学(北京)

Dates

Publication Date: 20260508
Application Date: 20260122

Claims (10)

1. The interface parameter prediction method for the heterogeneous materials in the marine pipeline is characterized by comprising the following steps of: Dispersing an interface transition region of a target heterogeneous material in a marine pipeline into a plurality of thin layers based on a continuous medium mechanics theory, establishing a layering model based on each thin layer, and establishing a mesoscopic RVE model corresponding to each thin layer according to the volume fraction of an inner cladding material of each thin layer in the layering model; Performing size correction on an original Eshelby-MT algorithm based on the characteristic size of a matrix in the mesoscopic RVE model to obtain a corrected Eshelby-MT algorithm, wherein the original Eshelby-MT algorithm is a mesoscopic mechanical analysis algorithm obtained by a simultaneous Eshelby tensor method and a Mori-Tanaka method; Selecting a target analysis algorithm corresponding to each mesoscopic RVE model from the original Eshelby-MT algorithm and the corrected Eshelby-MT algorithm according to the characteristic size of a matrix in each mesoscopic RVE model, and predicting mesoscopic interface parameters of the corresponding mesoscopic RVE model by using the target analysis algorithm; and integrating the volume fraction of the inner cladding material of each thin layer and the volume of each microscopic interface parameter to obtain the macroscopic equivalent interface parameter of the target heterogeneous material in the marine pipeline.
2. The method for predicting the interfacial parameters of a heterogeneous material in a marine pipeline according to claim 1, wherein said discretizing the interfacial transition region of the target heterogeneous material in a marine pipeline into a plurality of thin layers based on continuous medium mechanics theory comprises: Performing convergence analysis on microstructure features of an interface transition region in a target heterogeneous material based on a continuous medium mechanics theory to obtain a target layering quantity meeting a preset calculation precision requirement; dividing the interface transition region into a target layering number of thin layers along the thickness direction, wherein the thickness of each thin layer is the same.
3. The method for predicting interfacial parameters of heterogeneous materials in marine pipelines according to claim 1, wherein said constructing a mesoscopic RVE model corresponding to each of said thin layers according to the volume fraction of the inner cladding material of each of said thin layers in said layered model comprises: Determining the volume fraction of the inner cladding material of each thin layer in the layering model; constructing a single inclusion RVE model corresponding to each thin layer based on the volume fraction of the inner cladding material of each thin layer; and adjusting the sizes of inclusions in the single inclusion RVE model until the volume fraction of the inner cladding material of the single inclusion RVE model is consistent with the volume fraction of the inner cladding material of the corresponding thin layers, so as to obtain the mesoscopic RVE model corresponding to each thin layer.
4. The method of claim 1, wherein the performing the size correction on the original eshelly-MT algorithm based on the feature size of the matrix in the microscopic RVE model comprises: Determining the characteristic size of a matrix in the mesoscopic RVE model based on the side length of an inner covering pipe and the side length of an outer base pipe in the mesoscopic RVE model; Determining a constraint correction factor of the outer base pipe according to the characteristic size of the matrix, and determining an interaction correction factor according to the volume fraction of the inner cladding pipe material; And determining the product of the constraint correction factor and the interaction correction factor as a size correction factor, and performing size correction on the original Eshelby-MT algorithm by using the size correction factor.
5. The method according to claim 1, wherein the selecting a target analysis algorithm corresponding to each of the micro RVE models from the original eshellb-MT algorithm and the modified eshellb-MT algorithm according to the feature size of the matrix in each of the micro RVE models, and predicting the micro interface parameters of the corresponding micro RVE models by using the target analysis algorithm comprises: If the characteristic size of the matrix in the current mesoscopic RVE model is not smaller than a preset threshold value, selecting the original Eshelby-MT algorithm as a target analysis algorithm of the current mesoscopic RVE model; If the characteristic size of the matrix in the current mesoscopic RVE model is smaller than a preset threshold value, selecting the corrected Eshelby-MT algorithm as a target analysis algorithm of the current mesoscopic RVE model; and predicting the mesoscopic interface parameters of the mesoscopic RVE model by using the target analysis algorithm.
6. The method of predicting interface parameters of a heterogeneous material in a marine pipeline according to any one of claims 1 to 5, wherein predicting the corresponding microscopic interface parameters of the microscopic RVE model using the target analysis algorithm comprises: Obtaining the bulk modulus, the shear modulus and the constraint stiffness parameters of a matrix and inclusions in the current microscopic RVE model when the matrix is in shear deformation; Analyzing the bulk modulus, the shear modulus and the constraint stiffness parameters by using the target analysis algorithm to predict the mesoscopic interface parameters of the mesoscopic RVE model at present, wherein the mesoscopic interface parameters comprise interface elastic modulus, interface shear modulus and interface Poisson's ratio.
7. The method of claim 6, wherein the integrating the volume fraction of the inner cladding material of each thin layer and each microscopic interface parameter to obtain the macroscopic equivalent interface parameter of the target heterogeneous material in the marine pipeline comprises: And respectively fitting the relation among the interfacial elastic modulus, the interfacial shear modulus and the interfacial poisson ratio by adopting a polynomial so as to integrate the interfacial elastic modulus, the interfacial shear modulus and the interfacial poisson ratio of the volume fraction of the inner cladding material of each thin layer in volume to obtain the macroscopic equivalent interface parameter of the target heterogeneous material.
8. An interface parameter prediction device for heterogeneous materials in a marine pipeline, which is characterized by comprising: the model construction module is used for dispersing an interface transition region of a target heterogeneous material in the marine pipeline into a plurality of thin layers based on a continuous medium mechanics theory, establishing a layering model based on each thin layer, and constructing a mesoscopic RVE model corresponding to each thin layer according to the volume fraction of an inner cladding material of each thin layer in the layering model; The algorithm correction module is used for carrying out size correction on an original Eshelby-MT algorithm based on the characteristic size of a matrix in the mesoscopic RVE model to obtain a corrected Eshelby-MT algorithm, wherein the original Eshelby-MT algorithm is a mesoscopic analysis algorithm obtained by a simultaneous Eshelby tensor method and a Mori-Tanaka method; The mesoscopic parameter prediction module is used for selecting a target analysis algorithm corresponding to each mesoscopic RVE model from the original Eshelby-MT algorithm and the corrected Eshelby-MT algorithm according to the characteristic size of a matrix in each mesoscopic RVE model, and predicting mesoscopic interface parameters of the corresponding mesoscopic RVE model by using the target analysis algorithm; And the macro-parameter acquisition module is used for integrating the volume fraction of the inner cladding material of each thin layer and the volume fraction of each micro-interface parameter to obtain the macro-equivalent interface parameter of the target heterogeneous material in the marine pipeline.
9. An electronic device, comprising: A memory for storing a computer program; A processor for executing the computer program to implement the steps of the interface parameter prediction method of dissimilar materials in marine pipelines as claimed in any one of claims 1 to 7.
10. A computer readable storage medium for storing a computer program, wherein the computer program when executed by a processor carries out the steps of the interface parameter prediction method of dissimilar materials in marine pipeline according to any one of claims 1 to 7.

Description

Interface parameter prediction method, device, equipment and medium for heterogeneous materials in marine pipeline Technical Field The invention relates to the technical field of ocean engineering, in particular to a method, a device, equipment and a medium for predicting interface parameters of heterogeneous materials in an ocean pipeline. Background Ocean pipelines are required to adapt to severe service environment and long service life requirements, and heterogeneous material structures formed by metal, polymer and composite materials are widely adopted. Heterogeneous material interfaces (such as a bimetal composite pipe metallurgical bonding interface, an anti-corrosion coating metal-polymer interface and the like) formed by connecting different materials are key for determining service performance and safety life of a structure, and the remarkable difference of the heterogeneous materials in performances such as thermal expansion coefficient, elastic modulus and the like is easy to cause stress concentration at the interfaces, so that the interfaces become weak links for crack initiation and expansion. In current marine pipeline structural designs, interface parameters depend on empirical constant assumptions or simplified models. However, heterogeneous material interface mechanical behaviors have scale effects and trans-scale characteristics, complex coupling exists among nanoscale bonding strength, microscale residual stress and macroscopic scale failure behaviors, the characteristics of difficult accurate capture of traditional macroscopic mechanical testing, experience fitting and other methods are difficult, and the heterogeneous material interface mechanical behaviors have the limitations of high experimental cost, long period, lack of physical mechanism support, difficult popularization to different material systems and service conditions and the like. Along with the development of ocean engineering to deep water and open sea, the defects of the traditional method are more remarkable, the consumption of the deep sea environment simulation experiment is time consuming, the experimental model cannot adapt to the novel material combination and the complex load working condition, the reliability design and the safety evaluation precision of equipment are directly affected, and the early failure of an interface and serious engineering accidents can be possibly caused under extreme conditions. In summary, how to combine the coupling effect of the marine environmental characteristics, the microstructure evolution of the material and the mechanical behavior of the interface, and establish the cross-scale correlation from the microscopic mechanism to the macroscopic performance so as to accurately predict the interface parameters of the heterogeneous material is a problem to be solved in the field. Disclosure of Invention In view of the above, the present invention aims to provide a method, a device and a medium for predicting interface parameters of heterogeneous materials in marine pipelines, which can consider the coupling effect of marine environmental characteristics, material microstructure evolution and interface mechanical behavior, and establish a cross-scale correlation from microscopic mechanism to macroscopic performance so as to accurately predict interface parameters of heterogeneous materials. The specific scheme is as follows: In a first aspect, the application discloses a method for predicting interface parameters of heterogeneous materials in a marine pipeline, which comprises the following steps: Dispersing an interface transition region of a target heterogeneous material in a marine pipeline into a plurality of thin layers based on a continuous medium mechanics theory, establishing a layering model based on each thin layer, and establishing a mesoscopic RVE model corresponding to each thin layer according to the volume fraction of an inner cladding material of each thin layer in the layering model; Performing size correction on an original Eshelby-MT algorithm based on the characteristic size of a matrix in the mesoscopic RVE model to obtain a corrected Eshelby-MT algorithm, wherein the original Eshelby-MT algorithm is a mesoscopic mechanical analysis algorithm obtained by a simultaneous Eshelby tensor method and a Mori-Tanaka method; Selecting a target analysis algorithm corresponding to each mesoscopic RVE model from the original Eshelby-MT algorithm and the corrected Eshelby-MT algorithm according to the characteristic size of a matrix in each mesoscopic RVE model, and predicting mesoscopic interface parameters of the corresponding mesoscopic RVE model by using the target analysis algorithm; and integrating the volume fraction of the inner cladding material of each thin layer and the volume of each microscopic interface parameter to obtain the macroscopic equivalent interface parameter of the target heterogeneous material in the marine pipeline. Optionally, the method for dispersi