How we work

We begin with the mechanics of damage and failure: how loads are carried, how cracks form and grow, and how cyclic or extreme loading leads to loss of structural performance. Every assessment method, monitoring model, or software tool is grounded in physics so that its predictions remain interpretable and defensible in safety-critical use. Data-driven methods estimate states and parameters of mechanical models; they do not replace those models.

01

Ductile fracture and failure of marine steels

The lab's longest-running line. We measure how shipbuilding and offshore steels deform, neck and fracture under large strain, calibrate fracture models against that data, and implement them as user material subroutines so the models can be used in the explicit finite element analyses that structural assessment actually relies on.

Isometric view of a stiffened steel panel deformed into a dome by an indenter, shaded from pale grey where undamaged to orange and red near the opening, with a torn hole at the crown.
Hosford–Coulomb damage in a stiffened panel pushed 225 mm out of plane by a rigid indenter, computed with our own shell VUMAT. Nineteen elements have reached the fracture criterion and been removed, leaving the tear at the crown.

Current work includes

  • Calibration of ductile fracture models (Hosford-Coulomb, GTN, BWH instability criteria) for shipbuilding and high-tensile steels
  • User material subroutines (VUMAT) for shell and solid elements, including the mesh-size regularisation that shell fracture prediction depends on
  • Localised necking as a separate failure mechanism from fracture, and the strain rate and thermal softening effects that govern it
  • Material testing across stress states and temperatures, down to sub-zero service conditions

Evidence from the publication record

  1. Cerik BC, Choung J (2020). Rate-dependent combined necking and fracture model for predicting ductile fracture with shell elements at high strain rates. International Journal of Impact Engineering 146: 103697.
  2. Cerik BC, Choung J (2020). On the prediction of ductile fracture in ship structures with shell elements at low temperatures. Thin-Walled Structures 151: 106721.
  3. Cerik BC, Lee K, Choung J (2021). Evaluation of localized necking models for fracture prediction in punch-loaded steel panels. Journal of Marine Science and Engineering 9(2): 117.
  4. Park SJ, Cerik BC, Choung J (2020). Comparative study on ductile fracture prediction of high-tensile strength marine structural steels. Ships and Offshore Structures 15(sup1): 208–219.
  5. Cerik BC, Choung J (2020). Ductile fracture behavior of mild and high-tensile strength shipbuilding steels. Applied Sciences 10(20): 7034.

The full list

02

Fatigue, crack growth and engineering critical assessment

This is a separate question from how a plate tears in an accident. Here the structure already contains a defect, the loading is cyclic rather than extreme, and the decision is whether the structure is fit to remain in service. We assess flaws against fracture and fatigue criteria, and work on the wave climate assumptions that fatigue life estimates rest on.

Current work includes

  • Engineering critical assessment (ECA) and fitness-for-service evaluation of flawed welded structures
  • Fatigue crack growth in welded joints, and the influence of weld geometry and residual stress
  • Hull girder fatigue under revised wave scatter diagrams, and the sensitivity of damage ratios to that choice
  • Defect assessment for alternative marine fuel containment, including low-temperature toughness of cryogenic steels

Evidence from the publication record

  1. Seo JH, Park KS, Cha I, Choung J (2023). Engineering Critical Assessement for an Independent Type-B LNG Cargo Tank. Journal of the Society of Naval Architects of Korea 60(4): 213–221.

The full list

03

Collision, grounding and crashworthiness of ship structures

What a hull does in the seconds after an accident decides whether it floods. We simulate collision, grounding and dropped object impact up to and past the point where plating tears, using fracture criteria calibrated on our own material tests rather than a fixed failure strain, and carry the result through to accidental limit state assessment.

Force against indenter displacement: the contact force rises smoothly to a peak of 562 kilonewtons at 189 millimetres, then falls abruptly to about 140 kilonewtons as the plate tears.
Contact force through a full penetration event. The structure absorbs energy steadily until the plate tears at 562 kN, after which it sheds three quarters of its load — which is why a fixed failure strain, rather than a calibrated fracture criterion, gets crashworthiness wrong.

Current work includes

  • Ship collision and grounding analysis with fracture-based failure criteria, up to accidental limit state assessment
  • Plate tearing and perforation, including the aluminium structures used in high-speed craft
  • Dropped object impact, and slamming loads on bow and bottom structures
  • Coupled analysis of collision between floating bodies, where hydrodynamic reaction changes the energy available to damage the structure

Evidence from the publication record

  1. Cerik BC, Park SJ, Choung J (2020). Use of localized necking and fracture as a failure criterion in ship collision analysis. Marine Structures 73: 102787.
  2. Cerik BC, Choung J (2021). Fracture estimation in ship collision analysis—strain rate and thermal softening effects. Metals 11(9): 1402.
  3. Cerik BC, Choung J (2023). Fracture prediction of steel-plated structures under low-velocity impact. Journal of Marine Science and Engineering 11(4): 699.
  4. Cerik BC, Park B, Park SJ, Choung J (2019). Modeling, testing and calibration of ductile crack formation in grade DH36 ship plates. Marine Structures 66: 27–43.
  5. Cerik BC, Choung J (2022). Dynamic Analysis of Collision Between Two Floating Bodies Considering Hydrodynamic Loads. ASME 41st International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2022), Hamburg: V002T02A016.

The full list

04

Blast, underwater explosion and naval survivability

Naval structures are designed against loads that are rarely measured and never repeated. We predict the damage extent and the whipping response of a hull subjected to underwater explosion and to in-compartment blast, and connect that damage to whether the ship and its systems remain able to fight.

Current work includes

  • Underwater explosion loading, hull girder whipping, and the effect of hull inelasticity on the whipping response
  • Damage extent prediction for in-compartment explosions in warships
  • Shock acceleration at equipment and armament mounts, and its sensitivity to the fracture model used
  • Air blast response of marine grade aluminium plated structures

Evidence from the publication record

  1. Kim H, Cerik BC, Choung J (2022). Effects of fracture models on structural damage and acceleration in naval ships due to underwater explosions. Ocean Engineering 266: 112930.
  2. Kim H, Cerik BC, Choung J (2023). Effect of hull inelasticity on whipping responses by underwater explosions. Ships and Offshore Structures 18(4): 558–566.
  3. Chang W, Cerik BC, Choung J (2023). Prediction of damage extents due to in-compartment explosions in warships. Advances in the Analysis and Design of Marine Structures (MARSTRUCT 2023): 651–657.
  4. Cerik BC, Choung J (2021). Estimation of damage extents and evaluation of survivability of surface ships subjected to near-field explosion. Developments in the Analysis and Design of Marine Structures (MARSTRUCT 2021): 57–64.
  5. Cerik BC (2017). Damage assessment of marine grade aluminium alloy-plated structures due to air blast and explosive loads. Thin-Walled Structures 110: 123–132.

The full list

05

Ultimate strength and progressive collapse

The ultimate limit state of a hull girder or a stiffened panel is still computed today with methods whose numerical form has barely changed since the 1980s. We work on the collapse behaviour itself - buckling, load shedding, and interaction between failure modes - and on reformulating classical strength methods in modern differentiable computing frameworks, so that gradient-based design optimisation and sensitivity analysis become natural rather than bolted on.

Midship section of a double-hull tanker drawn as several hundred structural elements, coloured blue where in compression near the deck and red where in tension near the bottom shell.
The midship section of a 315 m double-hull tanker at its sagging collapse moment, computed with our Smith-type progressive collapse code. The deck is shedding load in compression while the bottom shell is still in tension.

Current work includes

  • Progressive collapse of hull girders under combined and unsymmetrical loading, intact and damaged
  • Ultimate strength of stiffened panels including welding residual stress and deformation effects
  • Buckling and collapse of ring-stiffened cylindrical shells, including pressure hulls
  • Differentiable reimplementation of incremental collapse methods in JAX, enabling automatic sensitivities of ultimate strength with respect to scantlings and material parameters

Evidence from the publication record

  1. Kim DK, Sung SH, Song SW, Kim SJ, Prabowo AR, Kim S, Seo JH, Ringsberg JW (2026). A SHAP value method for ultimate strength prediction of stiffened panel: A data-driven tool in engineering. Ocean Engineering 343, Part 1: 123159.
  2. Cerik BC, Choung J (2020). Progressive collapse analysis of intact and damaged ships under unsymmetrical bending. Journal of Marine Science and Engineering 8(12): 988.
  3. Cerik BC (2018). Ultimate longitudinal compressive strength of steel plates with lateral patch load induced plastic deformation. Thin-Walled Structures 122: 416–424.
  4. Cerik BC (2015). Ultimate strength of locally damaged steel stiffened cylinders under axial compression. Thin-Walled Structures 95: 138–151.
  5. Cerik BC, Shin HK, Cho S-R (2013). Probabilistic ultimate strength analysis of submarine pressure hulls. International Journal of Naval Architecture and Ocean Engineering 5(1): 101–115.

The full list

Where this comes from. This thrust continues the incremental-iterative tradition of simplified progressive collapse analysis developed at Newcastle University, whose methods for the elasto-plastic collapse of plates and stiffened panels were incorporated into UK naval structural design standards and the submarine design manual, and were later adopted by classification societies for merchant ships. Professor Seo held a post in marine structures at Newcastle University from 2014 to 2017.

Methods and tools. Nonlinear finite element analysis in Abaqus; Smith-type progressive collapse methods; differentiable numerical implementation in Python and JAX. See the software portfolio.

06

Moorings and dynamic power cables for floating offshore wind

Mooring lines and subsea dynamic power cables are among the least monitored and, statistically, the least reliable subsystems of a floating wind turbine. We work on the mechanics that sets their fatigue life: the cross-section behaviour that fixes a cable's bending stiffness, the global dynamics that sets its curvature, and the long-term damage accumulation that follows from both.

Three dynamic power cable cross-sections drawn to scale, from 33 kilovolt to 220 kilovolt, with conductor, insulation, sheathing, bedding and steel armour layers shown in different colours.
Dynamic power cable constructions from 33 kV to 220 kV, resolved layer by layer in CableXsec. Cross-section mechanics is what links a manufacturer's cable design to the stiffness properties a global dynamic analysis needs.

Current work includes

  • Cross-section mechanics of layered power cable constructions, linking manufacturer-level cable design to the stiffness properties used in global dynamic analysis
  • Shape and curvature of lazy-wave dynamic cables, where fatigue damage concentrates at the sag and hog bends and the touchdown zone
  • Inter-wire slip and hysteresis in helical armour, measured in moment-curvature tests and resolved component by component
  • Long-term fatigue assessment of moorings and cables under site-specific metocean conditions, connecting design load case simulation to damage accumulation

Funded by

  • Development of Demonstration Technology for Key Mooring Components of 3MW-class Floating Offshore Wind Turbines, Korea Institute of Energy Technology Evaluation and Planning, 2026-2029
  • Development of Evaluation Technology for Reliability Enhancement of Dynamic Submarine Cables, Korea Institute of Energy Technology Evaluation and Planning, 2026-2029

All projects

Methods and tools. OpenFAST and OrcaFlex for coupled and line dynamics; our in-house packages CableDyn and CableXsec; Bayesian filtering and surrogate modelling in Python. See the software portfolio.

07

Virtual sensing, monitoring and structural digital twins

Direct load measurement on a mooring line or a cable is costly, failure-prone, and rarely available along the full length of the component. Our central question is how far the load and fatigue state of a structure can be reconstructed from the measurements we can realistically obtain - platform motions, line-end responses, a handful of strain gauges - using estimators built on mechanical models rather than on correlation alone.

A grid of six contour maps over two frequency axes, coloured from blue through green to red, showing second-order response amplitudes for surge-heave, heave-heave and surge-pitch input pairs at sum and difference frequencies.
Second-order response maps identified for a dynamic power cable. Maps like these are what let cable curvature be inferred from platform motion, without instrumenting the cable itself.

Current work includes

  • Physics-based virtual sensing of mooring line tension from platform motion, using Kalman filtering and related state estimators built on lumped-mass line dynamics
  • Inverse finite element method for reconstructing displacement and damage fields from sparse strain measurement
  • System identification of cable and mooring response, including uncertainty-aware neural models used as estimators rather than as predictors
  • Structural digital twins for floating wind, from OpenFAST linearisation and modal identification through to state-space export

Funded by

  • Physics-Based Virtual Sensing Methodology for Estimating Mooring Line Tension in Floating Offshore Wind Turbines, Inha University New Faculty Research Grant, 2026-2027
  • Machine Learning-Based Tension Prediction for FOWT Mooring Lines, Inha University New Faculty Research Grant, 2025-2026

All projects

Evidence from the publication record

  1. Li M, Kefal A, Cerik BC, Oterkus E (2020). Dent damage identification in stiffened cylindrical structures using inverse Finite Element Method. Ocean Engineering 198: 106944.
  2. Li MY, Kefal A, Cerik BC, Oterkus E (2019). Structural health monitoring of submarine pressure hull using inverse finite element method. Trends in the Analysis and Design of Marine Structures (MARSTRUCT 2019): 293–302.

The full list

Methods and tools. Kalman and particle filtering; inverse finite element method; NARX and neural system identification; our in-house packages VANE and FOWCON. See the software portfolio.

08

Floating solar and marine renewable energy structures

Offshore floating solar puts a large, shallow, highly connected array into a wave field that its freshwater predecessors never saw. We work on the hydrodynamic response of these arrays and on the structural consequences of the connector choices that hold them together.

Current work includes

  • Wave-structure interaction of offshore floating solar arrays, including uniform and hybrid connector arrangements
  • Seakeeping of catamaran and barge float configurations for floating solar
  • Design challenges and standardisation gaps for floating solar systems deployed at sea

Evidence from the publication record

  1. Ou B, Seo JH, Qin Q, Huang L (2026). Wave-structure interaction of offshore floating solar array: Uniform and hybrid floaters. Journal of Energy Infrastructure: 100025.
  2. Ou B, Cerik BC, Huang L (2025). Seakeeping analysis of catamaran and barge floats for floating solar arrays: A CFD study with experimental validation. Ocean Engineering 326: 120970.
  3. Huang L, Elzaabalawy H, Sarhaan M, Sherif A, Ding H, Ou B, Yang D, Cerik BC (2025). Developing reliable floating solar systems on seas: A review. Ocean Engineering 322: 120525.

The full list

09

Peridynamic modelling of crack initiation and growth in welded steel

Classical finite element fracture mechanics needs the crack path to be anticipated by the mesh. Peridynamics is a nonlocal formulation in which cracks form and branch as a consequence of the material model rather than of the discretisation, which makes it suited to welded joints, where the crack starts at a defect nobody placed and runs through a heat-affected zone whose properties differ from the parent plate.

Current work includes

  • Crack initiation and growth in welded steel structures, including the heat-affected zone and weld toe geometry
  • Hydrogen effects on crack growth in structural steels, and the coupling between hydrogen transport and fracture

Emerging direction. This is a new research direction rather than an established programme. It has no publication record in the lab yet; the first manuscripts are under review.

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Cross-cutting capability: research software engineering

Every thrust above produces software, and the lab treats that software as a research output in its own right. Packages are developed under version control with automated test suites, continuous integration, and documentation, and are released publicly as the accompanying papers appear. Graduate students in the lab learn this workflow from their first semester, including AI-assisted development practices.

Software & facilities

Partnerships and roles

  • Professor Seo is a member of the ISSC Specialist Committee V.4 — Offshore Renewable Energy for 2025–2028, representing the Republic of Korea.
  • The lab participates as co-investigator in the MOF-funded BEACON marine workforce project (2025–2029) and the MOTIE-funded Digital Shipyard professional training programme (2026–2031).
  • We welcome collaboration with classification societies, shipyards, offshore energy and marine technology developers, and research groups working on structural fracture and fatigue assessment, computational mechanics, or condition monitoring. Contact: jaehoon.seo@inha.ac.kr