The performance of bolts in drilling and production systems is determined by many parameters, such as the bolting material structure and properties, metallic and non-metallic coatings, installation factors (e.g., torque), and operational factors (cathodic polarization, etc.). The acceptance of bolts is also determined by test method. A variety of test methods are used ranging from bend tests to fracture mechanics-based testing. These factors have attendant data and knowledge uncertainties. Thus, a probabilistic assessment is appropriate. This paper examines the effect of the combined uncertainties on the performance of these bolts using a Bayesian probabilistic approach. The paper also discussed conceptual approaches to managing the performance of bolts.

Subject
Embrittlement, Mechanistic models, Test methods, Strain rate, Hydrogen embrittlement, Crack growth, Materials, Stress intensity, Fatigue crack growth rate, Probability, Steel, Hardness, Hydrogen
Keywords:
Bolting, Hydrogen Embrittlement, Probabilistic Assessment, Steel, CRA
© 2018 Association for Materials Protection and Performance (AMPP). All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise) without the prior written permission of AMPP. Positions and opinions advanced in this work are those of the author(s) and not necessarily those of AMPP. Responsibility for the content of the work lies solely with the author(s).
2018
Association for Materials Protection and Performance (AMPP)
You do not currently have access to this content.