Abstract
Oil/gas pipes in petroleum industry are working in a complex environment. weld crack in the surface of pipes is one of the major causes for pipe failure. Quick crack growth under the pressure of the liquid in pipe has been reported as the root cause for many catastrophic accidents. It is therefore important to study key scientific issues associated with in-service detection of crack growth at pipe weld. By using virtual crack closure technique (VCCT), this dissertation discusses the impact of micro-crack growth at different welds, builds a magnetic-structural model for pipe welds with consideration of crack size and renewal of node coordinates (mesh reconstruction), makes repeated crack growth computation and magnetic field analysis and, thereby, proposes a magnetic-structural coupling algorithm. From the numerical analysis based on this algorithm, we are able to identify the position of a weld crack as well as to judge whether the crack will grow or not and growth process according to four eigenvalues (crack width, crack length and the peaks of horizontal and vertical components of the magnetic induction intensity) that are used to describe the crack growth, thus determine the damage degree of the pipeline weld. The algorithm offers a theoretical reference for the magnetic flux leakage (MFL) based detection and assessment of weld cracks of in-service pipes.
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References
Boateng, F.T., Ewert, U., Kannengiesser, T., Zscherpel, U., Griesche, A.: Real-time radiography for observation of crack growth during GTA welding. Weld. World 60(9), 931–937 (2016). https://doi.org/10.1007/s40194-016-0351-7
Cruz, F.C., Filho, E.F.S., Albuquerque, M.C.S., Silva, I.C., Farias, C.T.T.: Efficient feature selection for neural network based detection of flaws in steel welded joints using ultrasound testing. Ultrasonics 73(1), 1–8 (2017). https://doi.org/10.1016/j.ultras.2016.08.017
Xu, K., Qiu, X., Tian, X.: Investigation of metal magnetic memory signals of welding cracks. J. Nondestruct. Eval 36(2), 20 (2017). https://doi.org/10.1007/s10921-017-0402-z
Pilyugin, S.O., Lunin, V.P.: Determining the probability of detecting flaws in weld joints by phased-array ultrasonic testing. Rus. J. Nondestruct. Testing 52(6), 332–338 (2016). https://doi.org/10.1134/S1061830916060085
Kandroodi, M.R., Araabi, B.N., Bassiri, M.M., Ahmadabadi, M.N.: Estimation of depth and length of defects from magnetic flux leakage measurements: verification with simulations, experiments, and pigging data. IEEE Trans. Magn. 53(3), 1–10 (2017). https://doi.org/10.1109/TMAG.2016.2631525
Formica, G., Milicchio, F.: Crack growth propagation using standard FEM. Eng. Fract. Mech. 165(10), 1–18 (2016). https://doi.org/10.1016/j.engfracmech.2016.08.015
Jin, Q., Sun, Z.Y., Sun, W.: Study on fatigue crack growth in \(\text{ CO }_2\) pipelines with an axial surface crack under pulsating internal pressure. Eng. Mech. 32(5), 84–93 (2015). https://doi.org/10.6052/j.issn.1000-4750.2013.11.1043
Banicescu, I., Velusamy, V., Devaprasad, J.: On the scalability of dynamic scheduling scientific applications with adaptive weighted factoring. Clust. Comput. 6(3), 215–226 (2003). https://doi.org/10.1023/A:1023588520138
Chen, C., Taha, T.M.: A communication reduction approach to iteratively solve large sparse linear systems on a GPGPU cluster. Clust. Comput. 17(2), 327–337 (2014). https://doi.org/10.1007/s10586-013-0279-2
Li, Q.: Material configurational mechanics with application to complex defects. Chin. J. Theor. Appl. Mech. 47(2), 197–211 (2015). https://doi.org/10.6052/0459-1879-14-240
Ahn, J.S., Woo, K.S.: Delamination of laminated composite plates by p -convergent partial discrete-layer elements with VCCT. Mech. Res. Commun. 66(6), 60–69 (2015). https://doi.org/10.1016/j.mechrescom.2015.02.009
Marjanović, M., Meschke, G., Vuksanović, D.: A finite element model for propagating delamination in laminated composite plates based on the virtual crack closure method. Compos. Struct. 150(8), 8–19 (2016). https://doi.org/10.1016/j.compstruct.2016.04.044
Latifi, M., Meer, F.P.V.D., Sluys, L.J.: A level set model for simulating fatigue-driven delamination in composites. Int. J. Fatigue 80(11), 434–442 (2015). https://doi.org/10.1016/j.ijfatigue.2015.07.003
Magi, F., Maio, D.D., Sever, I.: Validation of initial crack propagation under vibration fatigue by finite element analysis. Int. J. Fatigue 104(11), 183–194 (2017). https://doi.org/10.1016/j.ijfatigue.2017.07.003
Riccio, A., Damiano, M., Raimondo, A., Felice, G.D., Sellitto, A.: A fast numerical procedure for the simulation of inter-laminar damage growth in stiffened composite panels. Compos. Struct. 145(6), 203–216 (2016). https://doi.org/10.1016/j.compstruct.2016.02.081
Amiri-Rad, A., Mashayekhi, M., Meer, F.P.V.D.: Cohesive zone and level set method for simulation of high cycle fatigue delamination in composite materials. Compos. Struct. 160(1), 61–69 (2017). https://doi.org/10.1016/j.compstruct.2016.10.041
Jokinen, J., Kanerva, M.: Analysis of cracked lap shear testing of tungsten-CFRP hybrid laminates. Eng. Fract. Mech. 175(4), 184–200 (2017). https://doi.org/10.1016/j.engfracmech.2017.01.029
Naini, J.K., Ramesh, B.P.: Impact analysis of embedded delamination location in hybrid curved laminated composite stiffened panel. Appl. Compos. Mater. 23(4), 1–20 (2016). https://doi.org/10.1007/s10443-016-9478-3
Banks-Sills, L., Farkash, E.: A note on the virtual crack closure technique for a bimaterial interface crack. Int. J. Fract. 201(2), 1–10 (2016). https://doi.org/10.1007/s10704-016-0120-z
Acknowledgements
This work was sponsored by the National Natural Science Foundation of China (Grant: 51607035, 11502051) and Heilongjiang Postdoctoral Foundation (Grant: LBH-Z16040) and State Administration of Work Safety Science and Technology Project of Key Technologies for Preventing and Controlling Major Accidents in Safe Production (Grant: heilongjiang-0003-2017AQ) and Science and Technology Project of China Petroleum and Chemical Industry Association (Grant: 2017-11-04) and Research start-up fund of Northeast Petroleum University (Grant: rc201732). All these are gratefully appreciated.
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Cui, W., Wang, K., Zhang, Q. et al. Simulation on the weld crack growth in the surface of oil/gas pipes by using a magnetic-structural coupling algorithm. Cluster Comput 22 (Suppl 2), 2809–2822 (2019). https://doi.org/10.1007/s10586-017-1541-9
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DOI: https://doi.org/10.1007/s10586-017-1541-9