Risk-Based Bridge Engineering
eBook - PDF

Risk-Based Bridge Engineering

Proceedings of the 10th New York City Bridge Conference, August 26-27, 2019, New York City, USA

  1. 320 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Risk-Based Bridge Engineering

Proceedings of the 10th New York City Bridge Conference, August 26-27, 2019, New York City, USA

About this book

Risk-based engineering is essential for the efficient asset management and safe operation of bridges. A risk-based asset management strategy couples risk management, standard work, reliability-based inspection and structural analysis, and condition-based maintenance to properly apply resources based on process criticality. This ensures that proper controls are put in place and reliability analysis is used to ensure continuous improvement. An effective risk-based management system includes an enterprise asset management or resource solution that properly catalogues asset attribute data, a functional hierarchy, criticality analysis, risk and failure analysis, control plans, reliability analysis and continuous improvement. Such efforts include periodic inspections, condition evaluations and prioritizing repairs accordingly.

This book contains select papers that were presented at the 10th New York City Bridge Conference, held on August 26-27, 2019. The volume is a valuable contribution to the state-of-the-art in bridge engineering.

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Yes, you can access Risk-Based Bridge Engineering by Khaled Mahmoud in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Civil Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Cable-supported bridges
  8. Asset management of bridges
  9. Bridge failures
  10. Bridge history & aesthetics
  11. Bridge performance & evaluation
  12. Railway & light rail bridges
  13. Bridge analysis & design
  14. Author index