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Safety Assessment of Composite Cylinders for Gas Storage by Statistical Methods

Potential for Design Optimisation Beyond Limits of Current Regulations and Standards

  • Georg W. Mair

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Georg W. Mair
    Pages 1-18
  3. Georg W. Mair
    Pages 151-242
  4. Georg W. Mair
    Pages 243-352
  5. Back Matter
    Pages 353-369

About this book

Introduction

Featuring a detailed analysis of current approval requirements and the relevant safety assessment methods for gas cylinders in general and with main focus on composite cylinders for storing compressed natural gas and hydrogen, this book demonstrates how current regulations and standards limit the ability to reduce cost and weight. Based on this data, it then highlights the potential offered by the proposed approval procedure based on probabilistic safety assessment

After addressing the economic potential of probabilistic safety assessments, the book details working procedures and improving cycles and (slow) bursts as methods for assessing residual strength. It then discusses methods for statistically evaluating test data, as well as sample- size and distribution-character considerations. A definition of sample strength is elaborated in terms of the performance sheets developed by the author. On this basis, it discusses safety as a property of service life and interpreted as an issue of degradation, and explores aspects of artificial aging for simulating the end-of-life reliability level. Lastly, the book considers control and inspection aspects: quality of production, degradation prediction using destructive sample tests parallel to operation, retesting periods and correcting for under- and overestimates of safe lifetime.

 Presented in schematic diagrams, illustrations and tables, this information enables manufacturers and operators to use this new approach in practice and supports the improvement of current regulations and standards.

Keywords

Composite Cylinders Confidence Level Failure and Survival Rate Probabilistic Safety Assessment Strength testing of Samples

Authors and affiliations

  • Georg W. Mair
    • 1
  1. 1.BAM Bundesanstalt für Materialforschung und - prúfungBerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-49710-5
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Energy
  • Print ISBN 978-3-319-49708-2
  • Online ISBN 978-3-319-49710-5
  • Buy this book on publisher's site