Probabilistic methods for risk assessment of airframe digital twin structures

2019 ◽  
Vol 221 ◽  
pp. 106674 ◽  
Author(s):  
Harry Millwater ◽  
Juan Ocampo ◽  
Nathan Crosby
2021 ◽  
Vol 9 (6) ◽  
pp. 667
Author(s):  
Dracos Vassalos ◽  
M. P. Mujeeb-Ahmed

The paper provides a full description and explanation of the probabilistic method for ship damage stability assessment from its conception to date with focus on the probability of survival (s-factor), explaining pertinent assumptions and limitations and describing its evolution for specific application to passenger ships, using contemporary numerical and experimental tools and data. It also provides comparisons in results between statistical and direct approaches and makes recommendations on how these can be reconciled with better understanding of the implicit assumptions in the approach for use in ship design and operation. Evolution over the latter years to support pertinent regulatory developments relating to flooding risk (safety level) assessment as well as research in this direction with a focus on passenger ships, have created a new focus that combines all flooding hazards (collision, bottom and side groundings) to assess potential loss of life as a means of guiding further research and developments on damage stability for this ship type. The paper concludes by providing recommendations on the way forward for ship damage stability and flooding risk assessment.


2021 ◽  
Author(s):  
Francois Ayello ◽  
Guanlan Liu ◽  
Yonghe Yang ◽  
Ning Cui

2019 ◽  
Vol 20 ◽  
pp. 136-142
Author(s):  
Ulyana S. Ivanova ◽  
Olga V. Taseiko ◽  
Daria A. Chernykh

2021 ◽  
Author(s):  
Francois Ayello ◽  
Guanlan Liu ◽  
Yonghe Yang ◽  
Ning Cui

BioResources ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 19-45
Author(s):  
Camilla Abbati de Assis ◽  
Antonio Suarez ◽  
Jeffrey P. Prestemon ◽  
Jeffrey Stonebraker ◽  
Carlos Carrillo ◽  
...  

This study aims to examine how organizations in the bio-based industry perceive risks and perform risk analysis within the capital investment decision-making process. More specifically, this study aims to assess sources of uncertainty commonly considered, identify tools and methods used for risk assessment, and understand how risk analysis is considered in capital budgeting. Eighty-six respondents were electronically surveyed on practices for capital investment risk analysis, including C-suite and upper management from different organization sizes and segments in the bio-based industry. It was found that some forms of risk analysis are utilized either in project assessment and/or for decision making by most respondents; however, qualitative and deterministic assessment practices dominate over probabilistic methods. In addition, risk assessment is most commonly performed in the later stages of a project, with less than 50% of adoption at the earlier stages. Overall, the main sources of uncertainties considered when performing risk assessment are financial, market and sales, and technology, with competition being considered mostly by upper management levels. Additionally, consistent with previous studies in other industry sectors, Internal Rate of Return, Return on Investment, and Net Present Value are the preferred financial indicators used to evaluate capital investments.


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