contributor author | Zhu, Linbo | |
contributor author | Bouzid, Abdel-Hakim | |
contributor author | Hong, Jun | |
contributor author | Zhang, Zaoxiao | |
date accessioned | 2019-02-28T11:07:04Z | |
date available | 2019-02-28T11:07:04Z | |
date copyright | 6/18/2018 12:00:00 AM | |
date issued | 2018 | |
identifier issn | 0094-9930 | |
identifier other | pvt_140_04_041202.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4252863 | |
description abstract | Bolted flange joints are widely used in the nuclear power plants and other industrial complexes. During their assembly, it is extremely difficult to achieve the target bolt preload and tightening uniformity due to elastic interaction and criss-cross talks. In addition to the severe service loadings, the initial bolt load scatter increases the risk of leakage failure. The objective of this paper is to present an analytical model to predict the bolt tension change due to elastic interaction during the sequence of initial tightening. The proposed analytical model is based on the theory of circular beams on linear elastic foundation. The elastic compliances of the flanges, the bolts, and the gasket due to bending, twisting, and axial compression are involved in the elastic interaction and bolt load changes during tightening. The developed model can be used to optimize the initial bolt tightening to obtain a uniform final preload under minimum tightening passes. The approach is validated using finite element analysis (FEA) and experimental tests conducted on a NPS 4 class 900 weld neck bolted flange joint. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Elastic Interaction in Bolted Flange Joints: An Analytical Model to Predict and Optimize Bolt Load | |
type | Journal Paper | |
journal volume | 140 | |
journal issue | 4 | |
journal title | Journal of Pressure Vessel Technology | |
identifier doi | 10.1115/1.4040421 | |
journal fristpage | 41202 | |
journal lastpage | 041202-10 | |
tree | Journal of Pressure Vessel Technology:;2018:;volume( 140 ):;issue: 004 | |
contenttype | Fulltext | |