Fatigue reliability and service life prediction of aluminum naval ship details based on monitoring data

Abstract

The evolution of naval vessels towards high-speed crafts subjected to severe sea conditions has promoted an increasing interest in lightweight high-strength materials. Due to its strength and weight characteristics, aluminum has been proven especially suitable as construction material for hull structures, as well as other vessel parts. However, fatigue in aluminum naval crafts needs to be effectively addressed for the proper life-cycle assessment. Structural health monitoring (SHM) systems constitute effective tools for measuring the structural response and assessing the structural performance under actual operational conditions. In this paper, an approach for using SHM information in the fatigue reliability analysis and service life prediction of aluminum naval vessels is presented. The accumulated fatigue damage and the fatigue reliability are quantified based on SHM data acquired under different operational conditions, specified by the ship speeds, sea states, and heading angles. Additionally, an approach for estimating the reliability-based fatigue life under a given operational profile is presented. Seakeeping trial data of an aluminum high-speed naval vessel are used to illustrate the proposed approach.

Fatigue Stress Spectra and Reliability Evaluation of Short- to Medium-Span Bridges under Stochastic and Dynamic Traffic Loads

“…The fatigue life prediction of bridges would be significantly affected by slight errors in the stress spectrum simulation. Fatigue stress spectra can be measured via bridge field tests, such as conventional bridge detection and the SHM approach (Liu et al 2010;Ye et al 2012;Soliman et al 2015).…”

Through-life hybrid fatigue assessment of naval ships

“…A trade-off study between the required accuracy and cost of through-life fatigue management is part of future research. In addition, to better manage uncertainties reliability-based fatigue assessment is worthy of future investigation (Collette and Incecik 2006, Lotsberg, Sigurdsson, Fjeldstad and Moan 2016, Soliman, et al 2015.…”

“…• The increase in vessel size, which has intensified the importance of global loads and dynamic responses (Ferraris and Farinetti 2008, Soliman, et al 2015, Swartz, Zimmerman, Lynch, Rosario, Brady, Salvino and Law 2012.…”

Fusing fleet in-service measurements using Bayesian networks

“…Soliman et al [8] presented an approach for reliability updating of fatigue life on aluminum vessels. Similarly, inspection scheduling and short-term routing have also been optimized using updated reliability frameworks [9,10].…”