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008 141016t2013 my da f m 000 0 eng d
020 _aTHE0005799(Local)
039 9 _a201905131429
_baida
_c201410271507
_dFida
_y201410161112
_zFida
040 _aUMP
090 _aTA418.74 .C44 2013 r Bc.
100 1 _aCheong, Kok Soon
245 1 0 _aFiinite element analysis on multi-plane defects of ASTM 106 steel pipe /
_cCheong Kok Soon
260 _aKuantan, Pahang :
_bUMP,
_c2013
300 _axx, 94 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013
504 _aBibliography: p.87-88
520 3 _aThe predictions of pipeline burst pressure in the early stage are very important as the failure of pipelines can result in damage to the environment, injury to the public and high repair costs. Therefore, the accurate detection and characterization of defects in pipelines are of high interest, in particular to give a better understanding of possible failure modes and probabilities for a pipeline. This thesis deals with the study on the effect of multi-plane defects of ASTM 106 steel pipe. The objectives of this project are to determine the burst pressure of detective pipe and to analyses the effect of different planes defect on burst pressure. This project implicates analysis of the ASTM 106 steel by using MSC Patran 2008 r1 software as pre-processor and MSC Marc 2008 r1 software as a solver. A quarter of pipe was simulated by fully applying the symmetrical condition. The pipe is modeled in 3-D with outer diameter 381 mm, wall thickness of 17.5 mm and different defect parameter. In this analysis, stress modified critical strain (SMCS) and von Mises used as failure criterion to predict the failure defective pipe. Results show that the burst pressure decrease when decreasing in multi defect planes thickness. The defect thickness appears as a most influence parameter that affects the burst pressure. However, the defect width has insignificant effect to the burst pressure. The results have been compared to von Mises stress burst prediction method. From the results, stress modified criteria strain (SMCS) gives the higher values compared to von Mises
650 0 _aCorrosion and anti-corrosives
650 0 _aPipelines
999 _aVIRTUA40
_c5078
_d5084
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992