Guest editorial for the special issue on “marine hydrodynamics for innovative design”

Sun Y Hamada AA Sallam O , et al. The application of laminar numerical wave tank for a heaving buoy hydrodynamics study in low-turbulence nonlinear waves. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 805–817. DOI: 10.1177/14750902231168674

Sengupta D Show TK Hirdaris S , et al. A semi analytic method for the analysis of the symmetric hydroelastic response of a container ship under slamming and green water loads. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 831–845. DOI: 10.1177/14750902231165808

Choi S Kim K Kim H , et al. Assessment of percent-time-operable of surface combatants with conventional and wave-piercing hulls. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 818–830. DOI: 10.1177/14750902231166429

Zhang M Taimuri G Zhang J , et al. A deep learning method for the prediction of 6-DoF ship motions in real conditions. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 887–905. DOI: 10.1177/14750902231157852

Darvish Bachari A Hajivand A Hasani M . Prediction of the maneuvering behavior of a containership in a seaway. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 955–970. DOI: 10.1177/14750902221143255

Wang S Kim B Zhu Z , et al. Enhanced body-force propeller model for non-uniform inflow flow and application to turning circle test of KCS in calm water. Proc IMechE, Part M: J Engineering for the Maritime Environment 2022; 237(4): 986–1007. DOI: 10.1177/14750902221107262

Zhandong L Shuang M Jianguo T , et al. Numerical and experimental investigation of the quasi-cavitation effect on a ducted Propeller for ROV. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 878–886. DOI: 10.1177/14750902231163905

Patel MS Liew MS Kang H-S , et al. Dynamic roll instability of liquid natural gas carrier during offloading operations and prediction of downtime cost in Malaysian waters. Proc IMechE, Part M: J Engineering for the Maritime Environment 2022; 237(4): 1027–1039. DOI: 10.1177/14750902221105945

Yang K-K . Parameter sensitivity of the excessive acceleration failure mode in second-generation intact stability. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 906–917. DOI: 10.1177/14750902231157850

Gilbert C Javaherian MJ Woolsey C , et al. Virginia tech advanced towing carriage. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 867–877. DOI: 10.1177/14750902231166958

Kumari N Chakraborty A Jangam S . The hydrodynamic analysis of multiple hydrofoils translating in tandem in presence of a free surface. Proc IMechE, Part M: J Engineering for the Maritime Environment 2022; 237(4): 1008–1026. DOI: 10.1177/14750902221103323

Yan H Zhang H Zhou L , et al. Optimization design of the unsmooth bionic structure of a hydrofoil leading edge based on the Grey–Taguchi method. Proc IMechE, Part M: J Engineering for the Maritime Environment 2022; 237(4): 971–985. DOI: 10.1177/14750902221128140

Nicholls-Lee R . Development of a novel, robust, near-shore, wave energy converter for energy security in remote communities. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 793–804. DOI: 10.1177/14750902231172821

Bowker J Tan M Townsend N . AxV: An autonomous vehicle concept capable of operating throughout the ocean space: air, surface and subsea. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 918–928. DOI: 10.1177/14750902221150285

Diao J Li W Yuan X , et al. Study on influencing factors of hydrodynamics based on AUV docking with conical dock. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 929–939. DOI: 10.1177/14750902221147623

Abdullah SF Mamat R . Application of swarm intelligence for dynamic properties of moored floating structures using two-dimensional fluid dynamic program. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 940–954. DOI: 10.1177/14750902221143596

Sallam O Fürth M . On the use of Fourier Features-Physics Informed Neural Networks (FF-PINN) for forward and inverse fluid mechanics problems. Proc IMechE, Part M: J Engineering for the Maritime Environment 2023; 237(4): 846–866. DOI: 10.1177/14750902231166424