A Fixed Platform Topside Piping System Strength Analysis Under Dynamic Pigging/Slugging Loads
American Journal of Civil Engineering
Volume 4, Issue 5, September 2016, Pages: 216-224
Received: Jul. 18, 2016; Published: Jul. 19, 2016
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Authors
Zhongwei Li, Department of Naval Architecture and Marine Engineering, University of New Orleans, New Orleans, LA, USA
Heng Gu, Rexa Inc, West Bridgewater, MA, USA
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Abstract
This paper presents the strength analysis of a fixed platform topside piping system under dynamic pigging/slugging load. Flow assurance analysis by using OLGA provided the flow history in each pipe. Then the dynamic loads at each pipe elbow were added by time sequence onto ANSYS model. The analysis has shown overstressed region under new pigging/slugging loads and proposed modification plan to reduce the stress.
Keywords
Fixed Platform Topside, Piping, Pigging, Slugging, Dynamic Load, Flow Assurance, Finite Element Analysis
To cite this article
Zhongwei Li, Heng Gu, A Fixed Platform Topside Piping System Strength Analysis Under Dynamic Pigging/Slugging Loads, American Journal of Civil Engineering. Vol. 4, No. 5, 2016, pp. 216-224. doi: 10.11648/j.ajce.20160405.12
References
[1]
ANSYS. User’s Manual, Version 15.0, 2013.
[2]
ASME, B31.3 Process Piping Design, 2012.
[3]
ASME, B31.8 Gas Transmission and Distribution Piping Systems, 2012.
[4]
BP, Designing for Multiphase Flow, BP Group Practice 41-20, 2013.
[5]
W. Cai, LL. Gouveia. Modeling and Simulation of Maximum Power Point Tracker in Ptolemy. Journal of Clean Energy Technologies, 2013.
[6]
J. Cordell, Pipeline Pigging Handbook, 3rd Ed., Clarion Technical Publishers, 2003.
[7]
N. Dowling, Mechanical Behavior of Materials, 4th ed., 2012.
[8]
J. Gong and W.Z. Wang, Offshore Oil and Gas Mixed Transportation Pipeline Flow Assurance, Science Press: 2016.
[9]
J. He, F.G. Yuan. Lamb wave-based subwavelength damage imaging using the DORT-MUSIC technique in metallic plates. Structural Health Monitoring, 2016.
[10]
Y. Liu. Nanoscale Thermal Transport at Graphene-Soft Material Interfaces. Doctoral dissertation, Virginia Polytechnic Institute and State University, 2016.
[11]
Y. Liu, J. Huang, B. Yang, B.G. Sumpter, R. Qiao. Duality of the interfacial thermal conductance in graphene-based nanocomposites. Carbon, 2014.
[12]
A. Maekawa, et al, Development of noncontact measurement methods using multiple laser displacement sensors for bending and torsional vibration stresses in piping systems, International Journal of Pressure Vessels and Piping, v 137, p 38-45, Elsevier, 2014.
[13]
E. Naudascher and D. Rockwell, Flow-Induced Vibrations: An Engineering Guide, Dover Publications, 2005.
[14]
Oil and Gas Pipeline Flow Assurance Technology, Petroleum Industry Press: 2010.
[15]
OLGA User’s Manual, Version 7, 2014.
[16]
P. Persson, et al., Numerical study of reduction in vibrations induced by water-pipe system, Dynamics of Civil Structures - Proceedings of the 33rd IMAC, A Conference and Exposition on Structural Dynamics, 2015.
[17]
H. Santos, et al., Development of a simplified methodology for evaluation of piping vibration due to multi-phase flow, ASME 2015 Pressure Vessels and Piping Conference, PVP 2015.
[18]
J. Tiratsoo, Pipeline Pigging and Integrity Technology, 4th Ed., Clarion Technical Conferences LLC, 2013.
[19]
L. Wang, Y. Ding. Creating micro-structured hydrogel-forming polymer films by photopolymerization in an evaporating solvent: Compositional and morphological evolutions. European Polymer Journal, 2015.
[20]
F. Xiao, et al., CFD simulation of vortex-induced vibrations of free span pipelines including pipe-soil interactions, Proceedings of the 25th International Ocean and Polar Engineering Conference, ISOPE 2015.
[21]
J. Zhang, J. Gu, L. Li, Y. Huan and B. Wei. Bonding of alumina and metal using bulk metallic glass forming alloy. International Journal of Modern Physics B, 2009.
[22]
J. Zhang, J. Johnston, A. Chattopadhyay. Physics‐based multiscale damage criterion for fatigue crack prediction in aluminium alloy. Fatigue & Fracture of Engineering Materials & Structures, 2014.
[23]
J. Zhang, B. Koo, N. Subramanian, Y. Liu, A. Chattopadhyay. An optimized cross-linked network model to simulate the linear elastic material response of a smart polymer. Journal of Intelligent Material Systems and Structures, 2015.
[24]
J. Zhang, K. Liu, C. Luo, A. Chattopadhyay. Crack initiation and fatigue life prediction on aluminum lug joints using statistical volume element–based multiscale modeling. Journal of Intelligent Material Systems and Structures, 2013.
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