Antonio Mikulić

Mr. Antonio Mikulić

University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Zagreb, Grad, Croatia
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 March 2023 in Ocean Engineering
Verified
Journal Article
Closed access
AFAndrea Farkas
Andrea Farkas
Nastia DegiuliNastia Degiuli
Nastia Degiuli
IMIvana Martić
Ivana Martić
AMAntonio Mikulić
Antonio Mikulić

25 March 2022 in Marine Structures
Verified
Journal Article
Open access
Josko ParunovJosko Parunov
Josko Parunov
CSC. Guedes Soares
C. Guedes Soares
Spyros E. HirdarisSpyros E. Hirdaris
Spyros E. Hirdaris
KIKazuhiro Iijima
Kazuhiro Iijima
XWXueliang Wang
Xueliang Wang
HAH.S. Abdelwahab
H.S. Abdelwahab

Verified
Journal Article
Open access
PDF file
TPTamara Petranovic
Tamara Petranovic
AMAntonio Mikulić
Antonio Mikulić
MKMarko Katalinić
Marko Katalinić
MĆMaro Ćorak
Maro Ćorak
Josko ParunovJosko Parunov
Josko Parunov
The method for the prediction of extreme vertical wave bending moments on a passenger ship based on the hindcast database along the shipping route is presented. Operability analysis is performed to identify sea states when the ship is not able to normally operate and which are likely to be avoided. Closed-form expressions are used for the calculation of transfer functions of ship motions and loads. Multiple operability criteria are used and compared to the corresponding limiting values. The most probable extreme wave bending moments for the short-term sea states at discrete locations along the shipping route are calculated, and annual maximum extreme values are determined. Gumbel probability distribution is then fitted to the annual extreme values, and wave bending moments corresponding to a return period of 20 years are determined for discrete locations. The system reliability approach is used to calculate combined extreme vertical wave bending moment along the shipping route. The method is employed on the example of a passenger ship sailing across the Adriatic Sea (Split, Croatia, to Ancona, Italy). The contribution of the study is the method for the extreme values of wave loads using the hindcast wave database and accounting for ship operational restrictions.

Verified
Journal Article
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Josko ParunovJosko Parunov
Josko Parunov
AMAntonio Mikulić
Antonio Mikulić
MĆMaro Ćorak
Maro Ćorak
This paper investigates the change in hull girder failure probabilities and partial safety factors caused by the implementation of the new procedure for direct computation of wave loads recommended by the International Association of Classification Societies (IACS). Differences between new and previous procedures are primarily related to the different associated scatter diagrams, and secondarily due to the assumptions on wave spectrum, wave energy spreading, and ship speed. This study performs a comparative structural reliability analysis of the global longitudinal bending of five oil tankers of different sizes between two procedures for wave load computation. Firstly, failure probabilities are compared, and secondly, modified partial safety factors are proposed, resulting in similar failure probabilities according to two separate procedures. It is found that implementation of the new revision of the IACS procedure for direct computation of wave loads results in a reduction of the minimum required ultimate vertical bending capacity of a ship hull by 10%. In addition to the novel investigation of the safety of oil tankers using a revised wave scatter diagram, this study offers a new rapid method for calculation of extreme vertical wave bending moments based on the regression of the parameters of the Weibull function, used for the long-term probability distribution of wave-induced loads.

9 October 2022 in Ocean Engineering
Verified
Journal Article
Closed access
MĆMaro Ćorak
Maro Ćorak
AMAntonio Mikulić
Antonio Mikulić
MKMarko Katalinić
Marko Katalinić
Josko ParunovJosko Parunov
Josko Parunov

28 October 2022 in Applied Sciences
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Journal Article
Open access
PDF file
Hassan SaghiHassan Saghi
Hassan Saghi
Josko ParunovJosko Parunov
Josko Parunov
AMAntonio Mikulić
Antonio Mikulić
Resistance of the bare hull of the tourist submarine with spherical heads, moving in forward and transverse directions is analyzed in OpenFOAM using Computational Fluid Dynamics. The resistance coefficients of the submarine are estimated for different length-to-diameter ratios and Reynolds numbers. The Artificial Neural Network with the optimum number of neurons is then trained to predict the resistance coefficients. Two simplified Artificial Neural Network models and Nonlinear Least Squares Marquardt-Levenberg algorithm are employed to fit the results in the form of equations that may be used in the initial design of this type of submarines. The comparative analysis of different prediction models is performed and guidelines for their practical application are given.