CN113865761A - Stress evaluation method for long-distance buried pipeline - Google Patents
Stress evaluation method for long-distance buried pipeline Download PDFInfo
- Publication number
- CN113865761A CN113865761A CN202111131419.7A CN202111131419A CN113865761A CN 113865761 A CN113865761 A CN 113865761A CN 202111131419 A CN202111131419 A CN 202111131419A CN 113865761 A CN113865761 A CN 113865761A
- Authority
- CN
- China
- Prior art keywords
- pipeline
- stress
- soil
- detection data
- data
- 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
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 15
- 239000002689 soil Substances 0.000 claims abstract description 57
- 238000001514 detection method Methods 0.000 claims abstract description 49
- 238000004364 calculation method Methods 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 15
- 230000005540 biological transmission Effects 0.000 claims abstract description 11
- 238000010586 diagram Methods 0.000 claims abstract description 9
- 239000000835 fiber Substances 0.000 claims abstract description 8
- 238000006243 chemical reaction Methods 0.000 claims abstract description 4
- 238000006073 displacement reaction Methods 0.000 claims description 6
- 238000009933 burial Methods 0.000 claims description 4
- 238000005452 bending Methods 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 230000006835 compression Effects 0.000 claims description 2
- 238000007906 compression Methods 0.000 claims description 2
- 238000009434 installation Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000003466 welding Methods 0.000 description 4
- 230000007774 longterm Effects 0.000 description 3
- 239000004576 sand Substances 0.000 description 3
- 238000011160 research Methods 0.000 description 2
- 238000002441 X-ray diffraction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004927 clay Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 210000002310 elbow joint Anatomy 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
- G01L1/24—Measuring force or stress, in general by measuring variations of optical properties of material when it is stressed, e.g. by photoelastic stress analysis using infrared, visible light, ultraviolet
- G01L1/242—Measuring force or stress, in general by measuring variations of optical properties of material when it is stressed, e.g. by photoelastic stress analysis using infrared, visible light, ultraviolet the material being an optical fibre
- G01L1/246—Measuring force or stress, in general by measuring variations of optical properties of material when it is stressed, e.g. by photoelastic stress analysis using infrared, visible light, ultraviolet the material being an optical fibre using integrated gratings, e.g. Bragg gratings
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a long-distance buried pipeline stress evaluation method, which comprises the following steps: installing a plurality of fiber bragg grating sensors on a target pipeline; acquiring external detection data and internal detection data of a target pipeline according to the fiber bragg grating sensor; converting the internal detection data into three-dimensional structure parameters of the pipeline; converting the external detection data into soil spring parameters according to the soil spring model; establishing a finite element model of the buried gas transmission pipeline according to the pipeline basic data and the soil basic parameters; calculating according to the three-dimensional structure parameters of the pipeline, the soil spring parameters and the finite element model of the buried gas transmission pipeline to obtain a pipeline stress distribution map; and (4) pre-judging a high stress area of the target pipeline according to the pipeline stress distribution diagram. The invention provides a complete technical process of data acquisition, data conversion, parametric modeling and batch processing aiming at the requirement of identifying the stress risk of the long-distance buried pipeline, the method has high calculation efficiency and convenient engineering application, and the problem of identifying the high stress area of the long-distance buried pipeline is solved in the aspect of theoretical calculation.
Description
Technical Field
The invention relates to a stress evaluation method for a long-distance buried pipeline.
Background
The laying environment of the gas pipeline is complex, and various external loads such as thrust applied to the pipeline by soil moving actions, stress concentration generated by pipeline settlement and the like are inevitably born in the long-term operation process. The high stress area of the pipeline is easy to generate defects such as cracks, and the cracks are continuously expanded under the action of continuous high stress, and finally, the pipeline can be broken and fail. Therefore, whether the pipeline body is in a safe state or not under the stress level applied by the external load is a matter of great concern.
For a gas transmission pipeline, the possibility that the pipeline section in certain typical areas is exposed to high stress level is judged primarily according to the external environment, such as the pipeline section in geological disaster areas such as landslide and ground subsidence. However, for a certain pipeline (section) with other non-obvious external environmental characteristics, how to identify the stress distribution state of the pipeline (section) and find out the position of a high-stress area is the first problem to be faced when carrying out stress detection evaluation of the pipeline. Since it is not feasible to perform stress detection on the whole pipeline in terms of the current practical situation, it is necessary to determine a high-stress area of a certain pipeline (section) first, and then perform subsequent detection, monitoring and evaluation.
After identifying the high stress areas of the pipe, it is necessary to detect the current stress level of the pipe. At present, the stress detection technology is various, and the nondestructive detection technology of stress includes various technical means such as a magnetic memory detection method, an ultrasonic method, an X-ray diffraction method and the like. The laying environment of the gas transmission pipeline is complex, and the optimized stress detection technology suitable for the in-service gas transmission pipeline is an urgent problem to be solved in engineering.
Certain pipe stress conditions change over time, such as pipes located in areas of geological hazards. The branch pipelines face various types of geological disaster risks such as landslide, debris flow and collapse, and systematic and deep research is not carried out in the aspect of pipeline monitoring in a geological disaster area at present, so that the identified high-risk pipeline sections of the geological disaster lack effective monitoring means. For such pipes, research is needed to develop a pipe stress/strain monitoring technique to monitor the stress variation trend of the pipe during long-term operation, so as to grasp the safe operation state of the pipe.
Partial stress states of the pipeline can be obtained through stress/strain detection and monitoring technologies, for example, the axial stress state of the pipeline can be generally measured through a strain sensor, and the hoop stress of the pipeline is difficult to obtain through the strain sensor. That is, after the pipeline stress data is actually measured through an advanced detection and monitoring technology, the overall stress state of the pipeline cannot be directly and comprehensively evaluated, so that a scientific and reasonable pipeline mechanics evaluation method is required to be used for supporting. In the aspect of standard specification, ASME B31.8 gives specific evaluation methods for stress checking of the pipeline and accessories thereof, but the methods are more suitable for the design stage of the pipeline. In the operation stage of the pipeline, due to the complex service environment of the pipeline and even the occurrence of significant changes, the complexity of the stress state of the pipeline in the long-term operation process puts higher requirements on the mechanical evaluation of the pipeline, and an evaluation method which is more practical in boundary condition and higher in precision needs to be considered.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention provides a stress evaluation method for a long-distance buried pipeline.
The technical scheme provided by the invention for solving the technical problems is as follows: a stress evaluation method for a long-distance buried pipeline comprises the following steps:
step S1, installing a plurality of fiber bragg grating sensors on the target pipeline;
step S2, acquiring external detection data and internal detection data of the target pipeline according to the fiber bragg grating sensor;
step S3, converting the internal detection data into three-dimensional structure parameters of the pipeline;
step S4, converting the external detection data into earth spring parameters according to the earth spring model;
s5, establishing a finite element model of the buried gas transmission pipeline according to the pipeline basic data and the soil basic parameters;
step S6, calculating according to the three-dimensional structure parameters of the pipeline, the soil spring parameters and the finite element model of the buried gas transmission pipeline to obtain a pipeline stress distribution map;
and step S7, pre-judging a high stress area of the target pipeline according to the pipeline stress distribution diagram.
The further technical scheme is that in the step S3, the pipeline characteristic mileage data in the internal detection data is converted into node coordinates of the three-dimensional pipeline model.
The further technical scheme is that in the step S4, mileage information in the external detection data is matched with mileage information in the internal detection data, and then the pipeline burial depth in the external detection data is input into the soil spring model of the corresponding pipe section, so that the calculation of the contact stiffness of the soil springs of different pipe sections is completed, and the conversion of the external detection data into the soil spring parameters is realized.
A further technical scheme is that the pipeline basic data in the step S5 includes a pipeline name, a pipeline length, a pipeline specification, a pipeline material, an installation temperature, an operation temperature, a design pressure, an operation pressure, pipeline burial depth data, and pipeline internal detection data.
Further technical solution is that the soil basic parameters in the step S5 include friction factor, soil density, soil internal friction angle, shear strength, soil compression factor, yield displacement factor, and thermal expansion factor.
A main control program is generated in MatLab in the step S6, and pipeline node coordinates, unit attributes, unit division, earth spring constraint, pressure and temperature load and the like are written into Ansys as input information; invoking Ansys to calculate stress; reading a stress calculation result output value text document through an Ansys parameterized language APDL to obtain pipeline axial force, pipeline bending moment, pipeline axial stress, pipeline hoop stress and pipeline Mises stress result data, and forming a pipeline stress distribution diagram.
The invention has the following beneficial effects: the invention provides a complete technical process of data acquisition, data conversion, parametric modeling and batch processing aiming at the requirement of identifying the stress risk of the long-distance buried pipeline, the method has high calculation efficiency and convenient engineering application, and the problem of identifying the high stress area of the long-distance buried pipeline is solved in the aspect of theoretical calculation.
Drawings
FIG. 1 is a schematic view of a straight pipe section girth weld node relationship;
FIG. 2 is a schematic view of a node relationship of a circumferential weld of a bent pipe section;
FIG. 3 is a model diagram of a finite element of a soil spring under the action of soil in a pipe;
FIG. 4 is a diagram showing the constitutive relation of the earth spring in three directions of the pipe axis, horizontal direction and vertical direction.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention discloses a long-distance buried pipeline stress evaluation method, which sequentially comprises the following steps:
step S1, installing a plurality of fiber bragg grating sensors on the target pipeline;
step S2, acquiring external detection data and internal detection data of the target pipeline according to the fiber bragg grating sensor;
step S3, converting the pipeline characteristic mileage data in the internal detection data into node coordinates (x, y, z) of a pipeline three-dimensional model;
wherein (1) the internal detection data is converted into three-dimensional structure parameters of the pipeline:
the axial direction of the starting point of the pipeline is defined as the x direction, the vertical direction is defined as the y direction, and the horizontal direction is defined as the z direction.
Straight pipeline section node calculation method
Knowing the coordinates of the girth weld node a, the solving equation of the coordinates of the girth weld node b relative to the node a is as follows:
In the formula: l is the distance between the node a and the node b along the axial direction of the pipeline, and the relative distance between two girth welds in the internal detection data is mm; theta is an included angle between the axial direction of the pipeline and the x direction, is determined according to the angle of the elbow before the node a in the internal detection data, and is 0 if no elbow exists.
Elbow node calculation method
1) The coordinate analytic formula of the elbow joint a is as follows:
xa＝L0
ya＝0
za＝0
in the formula: l is0The distance between the circumferential weld of the tail end of the elbow a and the circumferential weld of a certain upstream straight pipe section in the internal detection data is mm;
2) the coordinate analytic formula of the elbow node b is as follows:
In the formula: l is1The distance between the circular welding seam at the tail end of the elbow b and the circular welding seam at the tail end of the elbow a in the internal detection data is mm; theta0Determining an included angle between the axial direction of the pipeline and the x direction according to the angle of an elbow before the node a in the internal detection data, and if no elbow exists, determining that the included angle is 0;
3) and (3) an analytic expression of the coordinates of the elbow node c:
In the formula: l is2The distance between the circular welding seam at the tail end of the elbow c and the circular welding seam at the tail end of the elbow b in the internal detection data is mm; theta1The angle of the elbow b in the internal detection data.
Step S4, converting the external detection data into earth spring parameters according to the earth spring model;
firstly, matching mileage information in external detection data with mileage information in internal detection data, and then inputting the pipeline burial depth in the external detection data into a soil spring model of a corresponding pipe section to complete calculation of the contact stiffness of soil springs of different pipe sections, so that the external detection data are converted into soil spring parameters;
the soil spring can be divided into a pipe shaft direction soil spring, a horizontal direction soil spring and a vertical direction soil spring according to the acting direction. The vertical earth springs are divided into vertical upward earth springs and vertical downward earth springs. The soil spring model is shown in figure 3;
computing the stiffness of the earth spring in the axial direction of the pipe
In the formula: kaThe stiffness of the soil spring in the pipe axis direction; f. ofuThe sliding friction force (N) between the pipe and the soil along the pipe axis direction; xuThe yield displacement of the soil spring in the pipe axis direction.
The following calculation formula is provided:
fu＝fs·DL
fs＝μ(2W+Wp)
W＝ρsDHg
in the formula: f. ofsIs the friction force (N/m) per unit length between the soil and the outer surface of the pipeline along the direction of the pipe axis; dLThe distance (m) between earth springs; w is the gravity (N/m) per unit length of soil between the upper surface of the pipeline and the ground; wpThe dead weight (N/m) of the pipeline and the internal medium; mu is the coefficient of friction between the soil and the outer surface of the pipeline; rhomIs the density (kg/m) of the pipe material3) (ii) a ρ is the density of the conveying medium (kg/m)3)。
Calculation of horizontal soil spring stiffness
In the formula: kHThe soil spring stiffness in the horizontal direction; puThe pressure (N) of the soil to the pipeline along the horizontal direction; zuThe yield displacement of the soil spring in the horizontal direction.
There are the following formulas:
Pu＝(NchcD+NqhρslgHD)DL
Xu＝0.04(H+D/2)
Nqh＝C0+C1(H/D)+C2(H/D)2+C3(H/D)3+C4(H/D)4
in the formula: n is a radical ofchFor horizontal transverse consideration of the calculation parameters of the cohesion of the soil mass, and NchLess than or equal to 9; when c is 0, N ch0; c is the cohesive force (kPa) of the soil; h is the buried depth (m) between the axis of the pipeline and the upper surface of the pipe ditch; d is the outer diameter (m) of the pipeline; n is a radical ofqhFor horizontal transverse calculation parameters related to the internal friction angle of the soil body, coefficient C0～C4Taking values according to Table 1, N when φ is 0 °qh0; phi is the internal friction angle (DEG) of the soil; rhoslThe density (kg/m) of the field soil around the pipeline3)。
TABLE 1NqhValue of (a) coefficient
| φ | C0 | C1 | C2 | C3 | C4 |
| 20° | 2.399 | 0.439 | -0.030 | 0.001059 | -0.0000175 |
| 25° | 3.332 | 0.839 | -0.090 | 0.005606 | -0.0001319 |
| 30° | 4.565 | 1.234 | -0.089 | 0.004275 | -0.0000916 |
| 35° | 6.816 | 2.019 | -0.146 | 0.007651 | -0.0001683 |
| 40° | 10.959 | 1.783 | 0.045 | -0.005425 | -0.0001153 |
| 45° | 17.658 | 3.309 | 0.048 | -0.006443 | -0.0001299 |
Note: interpolation methods may be used to obtain other values of the coefficient of internal friction angle.
Computing the stiffness of the soil spring in the vertical direction
1) The vertical upward earth spring should be calculated according to the following formula:
qu＝(NcvucD+NqvuρslgHD)DL
from dense sand to loose sand: y isu＝(0.01～0.02)H
From hard to soft clays: y isu＝(0.1～0.2)H
Ncvu＝2(H/D)
Nqvu＝(φ/44)(H/D)
In the formula, quIs the pressure (N) of the soil on the pipeline vertically upwards; y isuYield displacement (m) of the earth spring vertically upwards; n is a radical ofcvuFor considering the calculation parameter of the cohesive force of the soil body vertically upwards, Ncvu≤10；NqvuFor the calculation of parameters vertically upwards related to the angle of friction in the soil, Nqvu≤Nqh。
2) The vertical downward earth spring should be calculated according to the following formula:
qul＝(NcvdcD+NqvdρslgHD+NrρslgD2/2)DL
sand and soil: y isul＝0.1D
Clay: y isul＝0.2D
Nr＝e0.18φ-2.5
In the formula, qulThe pressure (N) of the vertically downward soil to the pipeline; y isulYield displacement (m) for a vertical downward earth spring; n is a radical ofcvdCalculating parameters of the vertical downward earth spring; n is a radical ofqvdCalculating parameters of the vertical downward earth spring; n is a radical ofrThe calculated parameters are for the vertical downward earth spring.
S5, establishing a finite element model of the buried gas transmission pipeline according to the pipeline basic data and the soil basic parameters;
step S6, calculating according to the three-dimensional structure parameters of the pipeline, the soil spring parameters and the finite element model of the buried gas transmission pipeline to obtain a pipeline stress distribution map;
generating a main control program in MatLab, and writing pipeline node coordinates, unit attributes, unit division, soil spring constraint, pressure and temperature loads and the like serving as input information into Ansys; invoking Ansys to calculate stress; reading a stress calculation result output value text document through an Ansys parameterized language APDL, and obtaining result data such as pipeline axial force, pipeline bending moment, pipeline axial stress, pipeline hoop stress, pipeline Mises stress and the like to form a pipeline stress distribution diagram. In a MatLab-Ansys integrated environment, a finite element model reading program, an Ansys calling program and a stress result reading program are respectively used for reading read pipeline finite element model information into Ansys software, calling Ansys for stress calculation and reading a stress result output by the Ansys for output.
And step S7, pre-judging a high stress area of the target pipeline according to the pipeline stress distribution diagram.
Although the present invention has been described with reference to the above embodiments, it should be understood that the present invention is not limited to the above embodiments, and those skilled in the art can make various changes and modifications without departing from the scope of the present invention.
Claims (6)
1. A long-distance buried pipeline stress evaluation method is characterized by comprising the following steps:
step S1, installing a plurality of fiber bragg grating sensors on the target pipeline;
step S2, acquiring external detection data and internal detection data of the target pipeline according to the fiber bragg grating sensor;
step S3, converting the internal detection data into three-dimensional structure parameters of the pipeline;
step S4, converting the external detection data into earth spring parameters according to the earth spring model;
s5, establishing a finite element model of the buried gas transmission pipeline according to the pipeline basic data and the soil basic parameters;
step S6, calculating according to the three-dimensional structure parameters of the pipeline, the soil spring parameters and the finite element model of the buried gas transmission pipeline to obtain a pipeline stress distribution map;
and step S7, pre-judging a high stress area of the target pipeline according to the pipeline stress distribution diagram.
2. The method for evaluating the stress of the long-distance buried pipeline according to claim 1, wherein the pipeline characteristic mileage data in the internal detection data is used for converting the pipeline characteristic mileage data into node coordinates of a three-dimensional model of the pipeline in the step S3.
3. The method for evaluating the stress of the long-distance buried pipeline according to claim 1, wherein in the step S4, firstly, the mileage information in the external detection data is matched with the mileage information in the internal detection data, and then the buried depth of the pipeline in the external detection data is input into the soil spring model of the corresponding pipeline section, so that the calculation of the contact stiffness of the soil springs of different pipeline sections is completed, and the conversion of the external detection data into the soil spring parameters is realized.
4. The method for evaluating the stress of the long-distance buried pipeline according to claim 1, wherein the pipeline basic data in the step S5 includes pipeline name, pipeline length, pipeline specification, pipeline material, installation temperature, operation temperature, design pressure, operation pressure, pipeline burial depth data and pipeline internal detection data.
5. The long-distance buried pipeline stress evaluation method according to claim 1, wherein the soil basic parameters in the step S5 comprise friction factor, soil density, soil internal friction angle, shear strength, soil compression factor, yield displacement factor and thermal expansion factor.
6. The method for evaluating the stress of the long-distance buried pipeline according to claim 1, wherein the step S6 is to generate a main control program in MatLab, and to write pipeline node coordinates, unit attributes, unit division, earth spring constraint, pressure and temperature load, etc. as input information into Ansys; invoking Ansys to calculate stress; reading a stress calculation result output value text document through an Ansys parameterized language APDL to obtain pipeline axial force, pipeline bending moment, pipeline axial stress, pipeline hoop stress and pipeline Mises stress result data, and forming a pipeline stress distribution diagram.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111131419.7A CN113865761A (en) | 2021-09-26 | 2021-09-26 | Stress evaluation method for long-distance buried pipeline |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111131419.7A CN113865761A (en) | 2021-09-26 | 2021-09-26 | Stress evaluation method for long-distance buried pipeline |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113865761A true CN113865761A (en) | 2021-12-31 |
Family
ID=78990849
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111131419.7A Pending CN113865761A (en) | 2021-09-26 | 2021-09-26 | Stress evaluation method for long-distance buried pipeline |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113865761A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117131775A (en) * | 2023-08-30 | 2023-11-28 | 青岛市特种设备检验研究院 | Deformation evaluation method for long-distance buried pipeline |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109781324A (en) * | 2019-01-07 | 2019-05-21 | 中国石油天然气股份有限公司 | Pipeline meter Sai Si stress monitoring system and method |
| CN111307031A (en) * | 2020-03-16 | 2020-06-19 | 西南石油大学 | Buried pipeline safety state monitoring and early warning method |
| CN112948944A (en) * | 2021-03-24 | 2021-06-11 | 中国石油大学(北京) | Pipeline strain calculation method under action of general continuous surface displacement |
-
2021
- 2021-09-26 CN CN202111131419.7A patent/CN113865761A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109781324A (en) * | 2019-01-07 | 2019-05-21 | 中国石油天然气股份有限公司 | Pipeline meter Sai Si stress monitoring system and method |
| CN111307031A (en) * | 2020-03-16 | 2020-06-19 | 西南石油大学 | Buried pipeline safety state monitoring and early warning method |
| CN112948944A (en) * | 2021-03-24 | 2021-06-11 | 中国石油大学(北京) | Pipeline strain calculation method under action of general continuous surface displacement |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117131775A (en) * | 2023-08-30 | 2023-11-28 | 青岛市特种设备检验研究院 | Deformation evaluation method for long-distance buried pipeline |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Liu et al. | Numerical studies on global buckling of subsea pipelines | |
| Lu et al. | Vibration and stress analyses of positive displacement pump pipeline systems in oil transportation stations | |
| CN113865761A (en) | Stress evaluation method for long-distance buried pipeline | |
| Muravyeva et al. | Elaboration of the method for safety assessment of subsea pipeline with longitudinal buckling | |
| CN111859736A (en) | Service performance evaluation method for pipeline under multi-disease complex environment | |
| Bu et al. | Testing, simulation and design of offshore lined pipes under axial compression | |
| CN113722841B (en) | Method and device for establishing three-dimensional model of long-distance pipeline | |
| Omrani et al. | Effects of diameter to thickness ratio and external pressure on the velocity of dynamic buckle propagation in offshore pipelines | |
| Okoloekwe et al. | Improvements to the ASME B31. 8 dent strain equations | |
| Zhang et al. | Review of numerical approaches used in soil-pipe interaction analysis of water mains | |
| Attia et al. | Numerical assessment of elbow element response under internal pressure | |
| Melnychenko et al. | Determination of preconditions leading to critical stresses in pipeline during lowering | |
| Meng-jie et al. | Research on pipeline deformation in permafrost region using inverse finite element method based on iBeam3 element | |
| Moussa et al. | Investigating the effect of crack shape on the interaction behavior of noncoplanar surface cracks using finite element analysis | |
| Rafi | Structural behaviour of dented pipelines | |
| Wu et al. | Strength analysis of buried polyethylene pipeline under ground subsidence considering multivariate influence | |
| Fatemi et al. | Parameters affecting the local buckling response of high strength linepipe | |
| Li et al. | New methods for predicting strain demand of Arctic gas pipelines across permafrost under frost heave displacement | |
| Jukes et al. | The latest developments in the design and simulation of deepwater subsea oil and gas pipelines using FEA | |
| Ashrafy et al. | A new formulation for establishing the lateral interaction between buried steel pipeline and sandy soil subjected to strike-slip faulting | |
| Sriskandarajah et al. | Predictive residual ovality for reel-laid pipelines in deepwater | |
| Najafi et al. | Design, analysis, and full-scale testing of the rolled groove gasket joint system in AWWA C303 bar-wrapped, steel-cylinder concrete pressure pipe | |
| Liu et al. | Improved J estimation by GE/EPRI method for the thin-walled pipes with small constant-depth circumferential surface cracks | |
| Manolis et al. | A hierarchy of numerical models for SSI analysis of buried pipelines | |
| Poiate Junior et al. | Experimental tests and numerical simulation in a reduced model in a pipeline with ZIG-ZAG geometry: A parametric study |
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 |