The effect of rope termination on the performance of polyester mooring ropes for marine applications

Saidpour, Hossein; Li, Liang; Vaseghi, Rahim

doi:10.1016/j.oceaneng.2019.106705

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…As could be observed, with the eye-spliced ends, most of the failures took place along the undisturbed section of the rope (out of splices' legs or eyes), whether in the middle of the rope or near the splice ends, which is acceptable in the splice-structured ropes due to the stress concentration immediately after the end of the buried section of the splice 57 . It also could be seen that some specimens failed suddenly with fragile behavior, and the breakage occurred on the total cross-section of the rope, as in the ropes of M1, M2, and M4 in Fig.…”

Section: Resultsmentioning

confidence: 82%

Experimental-based statistical models for the tensile characterization of synthetic fiber ropes: a machine learning approach

Halabi,

Xu,

et al. 2023

Sci Rep

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This study investigated the tensile behavior of some prevalent synthetic fiber ropes made of polyester, polypropylene, and nylon polymeric fibers. The aim was to generate well-documented experimental statistics and develop simplified stress–strain constitutive laws that can describe the ropes' tensile response. The methodology involved analyzing the thermal history of the fibers using the DSC technique, tensile testing of fibers and yarn components of the rope, and conducting 196 rope tensile tests with optimum testing conditions. Based on the test results, an experimental database of the ropes' tensile characteristics was established, containing different parameters of material properties, rope construction, fiber processing, fiber tensile properties, and rope tensile responses. Subsequently, ANN models were developed and optimized using MATLAB based on the generated dataset's inputs and outputs to predict the studied ropes' tri-linear stress–strain profiles. The results showed that the ANN models accurately predicted the stress–strain properties of ropes represented by the tri-linear approximation with an error of about 5% for the failure strength and strain. The study provides insight into the process-structure–property relationship of synthetic fiber ropes and contributes to minimizing the cost and effort in designing and predicting their tensile properties while contributing to the practical industry.

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Section: Resultsmentioning

confidence: 82%

Experimental-based statistical models for the tensile characterization of synthetic fiber ropes: a machine learning approach

Halabi,

Xu,

et al. 2023

Sci Rep

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Assessment of Mechanical Degradation in Polyester Fibers for Offshore Mooring through Hydrolysis Processes in Seawater

da Cruz,

Melito,

da Cruz Júnior

et al. 2024

Macromolecular Symposia

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For decades, polyethylene terephthalate (PET) has been a prominent material for high‐performance polymer fibers, finding widespread applications in offshore mooring. PET offers cost‐effectiveness, high strength, ease of processing, compatibility with other fibers, and recyclability. This article presents the depolymerization of PET for material aging via hydrolysis conducted with seawater (South Atlantic) at three different elevated temperatures, with hydrolysis time of up to 100 days. Three PET fibers with different linear densities are used, and the experimental investigation involves measuring the breaking strength through yarn break load (YBL) tests to evaluate the effect of hydrolysis conditions (time, temperature) on the mechanical behavior of the multifilaments. A constant reduction in strength is observed for all PETs due to hydrolysis time. However, within the studied temperature range, the maximum strength loss is not always associated with the highest temperature. Additionally, several models are used to fit the effects of hydrolysis exposure time and temperature on yarn strength, providing both 2D and 3D models that describe the phenomenon.

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Research on the Viscoelasticity of Polyester Mooring Lines Using the Absolute Nodal Coordinate Formulation

Sui²,

Kang³

et al. 2022

J. Marine. Sci. Appl.

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The effect of rope termination on the performance of polyester mooring ropes for marine applications

Cited by 3 publications

References 31 publications

Experimental-based statistical models for the tensile characterization of synthetic fiber ropes: a machine learning approach

Experimental-based statistical models for the tensile characterization of synthetic fiber ropes: a machine learning approach

Assessment of Mechanical Degradation in Polyester Fibers for Offshore Mooring through Hydrolysis Processes in Seawater

Research on the Viscoelasticity of Polyester Mooring Lines Using the Absolute Nodal Coordinate Formulation

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