Chapter
Sep 15, 2022
Developing Load Factors for Berthing Loads Based on Monte Carlo Modeling and Statistical Analysis
Authors: R. Iversen [email protected], B. Phan [email protected], A. DiGregorio [email protected], D. Oniz [email protected], and E. Washburn [email protected]Author Affiliations
Publication: Ports 2022
ABSTRACT
The design of fender-supporting structures requires proper application of load and safety factors in consideration of berthing velocities, abnormal berthing conditions, manufacturer tolerances, fender performance, etc. Current codes and guidelines remain inconsistent and unclear on how each consideration should be incorporated, resulting in inconsistent, overly-conservative, or at worst, unsafe designs. This paper applies Monte Carlo statistical modeling to examine fender reaction forces resulting from berthing velocity data. Engineers can use the resulting distribution of reaction forces to develop safe and acceptable load factors to design supporting structures to fit target reliabilities similar to those found in ASCE 7.
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REFERENCES
ASCE. (2017). Minimum Design Loads and Associated Criteria for Buildings and Other Structures, Standard ASCE/SEI 7-16. ASCE, Reston, VA.
Beckett Rankine. (2010). Berthing Velocities and Brolsma’s Curves, 270 Vauxhall Bridge Road, Westminster, London.
California Building Code. (2016). California Code of Regulations Title 24, Part 2, Volume 2, Chapter 31F, California Building Standards Commission, Sacramento, CA.
Iversen, R., et al. (2019). A Proposed Rational Approach to Design of Fenders and Supporting Structures in the United States. Proceedings of PORTS ‘19, ASCE, Reston, VA.
Iversen, R., et al. (2019). Analysis of Measured Marine Oil Terminal Berthing Velocities. Proceedings of PORTS ‘19, ASCE, Reston, VA.
PIANC. (2002). Guidelines for the Design of Fenders Systems,. PIANC, Brussels, Belgium.
US Department of Commerce/National Bureau of Standards. (1980). Development of a Probability Based Load Criterion for American National Standard A58.
Virtanen, P., et al., and SciPy 1.0 Contributors. (2020). SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 17(3), 261–272.
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Ports 2022
Pages: 163 - 173
History
Published online: Sep 15, 2022
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P.E.
1Simpson Gumpertz & Heger, Oakland, CA. Email: [email protected]
P.E.
2Simpson Gumpertz & Heger, Oakland, CA. Email: [email protected]
3Simpson Gumpertz & Heger, Oakland, CA. Email: [email protected]
4Simpson Gumpertz & Heger, Oakland, CA. Email: [email protected]
5Simpson Gumpertz & Heger, Houston, TX. Email: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.