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Hoisting through resonance: payload swing, heel and luffing-cylinder loads of a truck crane on a modular steel barge in passing-ship wakes

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Zenodo2026-10-31 更新2026-11-05 收录
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This record contains the Python code and computed data for the paper: V.H. Nguyen, V.H. Trinh. Hoisting through resonance: payload swing, heel and luffing-cylinder loads of a truck crane on a modular steel barge in passing-ship wakes. Submitted to Ocean Engineering. The study asks whether the wake of a passing vessel can drive the payload swing of a barge-mounted truck crane into resonance as the rope is shortened during a lift. It also asks how large the swing, the heel and the luffing-cylinder loads become. The model has five degrees of freedom: sway, heave and roll of the barge, payload swing, and boom luffing on a locked hydraulic cylinder. It couples matched eigenfunction expansion hydrodynamics of a rectangular section in finite depth, the Cummins equation, exact hydrostatics and a variable-length pendulum. The modelled system is a 25 t truck crane on a modular steel barge of 2 × 3 S-50-type pontoons. Contents Matched eigenfunction expansion for added mass, radiation damping and Haskind exciting force, with energy and reciprocity checks. Five-DOF multibody model in the time domain (Cummins memory term) and in the frequency domain, plus modal analysis. Idealised passing-ship wake records (chirped Gaussian packet and Kelvin-type record). Scripts for all 3 071 simulations: verification; wake timing × hoisting speed; vessel speed × wave height; payload mass, sensitivity and wake shape; hoisting strategies; revision studies. Post-processing for hook–boom clearance, outrigger reactions and the first limiting events: contact, outrigger lift-off, slack rope, bottom emergence and deck immersion. Scripts that draw every figure and generate every table and number quoted in the paper. All computed results (.npz, .json), so the figures, tables and numbers can be regenerated in a few minutes without rerunning the simulations. Requirements: Python ≥ 3.10 with numpy, scipy and matplotlib. See README.md for the run order.

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2026-10-31
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