Failure analysis for safety evaluation of capsizing accident of deep cement mixing vessel

Kim, Jeong-Dae; Chung, Won-Jun; Park, Sung-Boo; Jung, Kwang-Hyo; Lee, Jae-Myung

doi:10.1016/j.engfailanal.2020.104795

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…Xiao et al [19] formulated the dynamic equation of a boom using the Lagrangian equation, solved the system's dynamic response through a numerical model, and analyzed the boom's stability and dynamic characteristics when performing lifting operations. Kim et al [20] conducted a hydrodynamic analysis of a DCM (deep cement mixing) vessel equipped with a lofty crane using HydroSTAR v. 7.3 and quantitatively assessed its stability. These studies on floating crane vessels provide a basis for research on recovering sunken ships.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis and Safety Assessment of Ships and Cables during Salvage Operations

Zou,

Chen,

Sun

et al. 2023

Applied Sciences

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The International Maritime Organization (IMO) emphasizes that shipwreck accidents frequently occur at sea and advocates for the safe recovery of shipwrecks. This paper examines the case of the Korean “Sewol” ferry salvage, where two lifting barges were symmetrically utilized to retrieve a substantial shipwreck. The dynamic analysis of the salvage operation is based on the computational fluid dynamics (CFD) approach. The main investigation covers two fundamental physical parameters: the motion response of the lifting barges and shipwreck and the tension response of the lifting cables. Using the parameters of the maximum absolute value (MA), root mean square (RMS), and coefficient of variation (CV), a unified criterion is established to quantitatively evaluate the safety of the salvage operation under different working conditions. The study demonstrates that by carefully considering the enhancement of safety and stability for the three vessels involved in the salvage process and by optimizing the safety performance of the lifting cables, suitable operating windows are determined at wave intervals of (115°, 155°) and (205°, 245°). Under most working conditions, curves illustrating the maximum tensions of lifting cables No. 1–15 and No. 16–30 show a distribution with a “middle part drooping” shape. The placement of connecting cables on the water’s surface at 1.1–1.2 times the salvage spacing between the two lifting barges or the arrangement of inclined lifting cables underwater proves advantageous in constraining the motion response of the three vessels. Reinforcing the lifting cables at the bow and stern ends is recommended. This study presents a methodology for salvaging a shipwreck using two lifting barges, which can be used as a reference for designing related salvage approaches.

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Section: Introductionmentioning

confidence: 99%

Dynamic Analysis and Safety Assessment of Ships and Cables during Salvage Operations

Zou,

Chen,

Sun

et al. 2023

Applied Sciences

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“…• Risk to structural stability-design errors, insufficient maintenance, or ES management errors can cause catastrophic damage with total damage [21][22][23][24][25]; • Risk of interruption of the production process-downtime of ES causes losses in planned production [26,27];…”

mentioning

confidence: 99%

“…Risk to the work environment-ES users may be exposed to various adverse health effects. First of all, influence means noise and vibration [28]; electromagnetic emission and radiation [29]; extreme temperatures and other climatic factors [30]; dust [31]; chemical and other hazardous substances [32]; open flame [33]; rotating and other parts with high inertia [22]; height works [34]; and others; • Environmental risks-there are distinguished direct and indirect impacts. Direct effects on soil degradation and pollution, contamination of surface and groundwater, air pollution, and other similar impacts.…”

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confidence: 99%

Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM

et al. 2022

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The risk assessment of engineering systems represents an important part of the quality of service and dependability. The existing methods for risk evaluation use crisp sets for rating partial indicators’ proposition and their cumulative products as an overall indicator. In this paper, existing FMEA and FMECA methods have been improved using the fuzzy expert system for calculating the risk priority number. The application of fuzzy logic allows the use of linguistic descriptions for risk analysis. In this way, the state of the system in terms of risks and consequences is better described. The settings of the fuzzy systems are based on the application of two multi-criteria decision-making methods. The AHP method was used to define the mutual relationship of the impact of partial indicators (occurrence, severity, and detectability) on risk. In this way, subjectivity in risk assessment is reduced. In the composition of the fuzzy model, the TOPSIS method is introduced to reduce the dissipation of results, which contributes to the accuracy of the outcome. This contributes to the accuracy of the results. The results were verified through a case study of a complex engineering system—bucket-wheel excavators. The risk was observed from the aspect of the danger of damage and the danger of downtime. The initial information for weak points of ES is defined according to historical damage events and statistics of downtime. Expert knowledge was used for weak points grading in the model. Additional model verification was performed using similar methods, using the same input data. The innovative model, presented in the paper, shows that it is possible to correct different weights of risk indicators. The obtained results show less dispersion compared with other existing methods. Weak points with increased risk have been located, and an algorithm has been proposed for risk-based maintenance application and implementation.

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Failure analysis for safety evaluation of capsizing accident of deep cement mixing vessel

Cited by 2 publications

References 15 publications

Dynamic Analysis and Safety Assessment of Ships and Cables during Salvage Operations

Dynamic Analysis and Safety Assessment of Ships and Cables during Salvage Operations

Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM

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