Method, device, equipment and medium for evaluating falling object risk of offshore platform jacket
By constructing a joint distribution model and a two-stage Monte Carlo simulation, the problems of traditional methods being unable to adapt to three-dimensional truss structures and ignoring parameter dependencies were solved, enabling a refined probabilistic risk assessment of the jacket structure across the entire water depth range and providing a scientific basis for risk assessment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- DALIAN UNIV OF TECH
- Filing Date
- 2026-06-02
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional methods cannot be adapted to the three-dimensional spatial truss structure of the jacket, cannot achieve collision detection across the entire water depth range, and ignore the inherent nonlinear dependence between falling object parameters, resulting in insufficient rationality and stability of Monte Carlo stochastic simulation results, and failing to achieve integrated event probability assessment and quantitative analysis of structural damage.
By acquiring raw sample data of the target jacket structure parameters and the physical parameters of the falling object type, edge distribution fitting and joint fitting are performed to construct a joint distribution model. Joint samples are generated using two-stage Monte Carlo simulation. The impact energy is solved by combining underwater dynamic equations. Based on the component risk level threshold, the risk level is classified, the annual impact frequency is calculated, and a risk assessment report is generated.
It enables three-dimensional collision detection and refined probabilistic assessment of jacket structures across the entire water depth range, improving the realism and engineering practicality of the assessment. It can comprehensively and objectively characterize the probability of falling object impact, risk distribution characteristics, and annual risk frequency, providing a scientific quantitative basis for the operation and maintenance and safety management of marine platforms.
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