Wave-Heading-Dependent Directional Transmissibility Datasets for Localized Damage Identification in Offshore Jacket Structures
Description
This repository contains the numerical simulation data, processed response datasets, and Python-based post-processing scripts associated with the study: “Wave-Heading-Dependent Directional Transmissibility for Localized Damage Identification in Offshore Jacket Structures.” The dataset supports investigation of directional dynamic-response behavior and transmissibility-based damage identification in a fixed offshore jacket structure subjected to hydrodynamic loading under varying wave-heading conditions. The repository includes: * raw Abaqus numerical analysis output files; * extracted acceleration response histories for all investigated wave headings and structural conditions; * processed FFT and PSD datasets; * directional transmissibility datasets; * Python scripts used for automated response extraction and post-processing; * representative hydrodynamic loading histories; * and publication figures associated with the study. The numerical investigations consider both undamaged and damaged offshore jacket structural conditions, where localized structural degradation is simulated through stiffness reduction of a single horizontal X-brace member. Wave headings ranging from 0∘ to 90∘ at 15∘ increments are included. The repository is intended to support reproducibility, further analysis, and future development of offshore structural health monitoring methodologies based on directional dynamic-response characteristics under operational environmental loading conditions.
Files
Steps to reproduce
1. Open the provided Abaqus input (.inp) files contained within the folder: 01_Abaqus_Files 2. Run the Abaqus simulations for: - the undamaged structural condition; - and the damaged structural condition; using the included hydrodynamic loading definitions and analysis settings. 3. The simulations should be executed using: - implicit dynamic analysis; - five wave cycles; - and the prescribed wave headings ranging from 0∘ to 90∘ at 15∘ increments. 4. Upon completion of the Abaqus analyses, output database (.odb) files will be generated automatically by Abaqus. 5. Use the Python scripts contained within: 05_Python_Postprocessing_Scripts to: - extract acceleration response histories from the generated ODB files; - compute FFT spectra; - compute PSD results; - evaluate directional transmissibility functions; - and generate publication-quality figures. 6. The primary extracted acceleration response components correspond to: - A1: global X-direction acceleration; - A3: global Z-direction acceleration. 7. The generated post-processed datasets should reproduce: - peak acceleration responses; - RMS response metrics; - FFT and PSD spectra; - and transmissibility results presented within the associated manuscript. 8. Due to repository size limitations, Abaqus .odb and .cae files are not included in the present repository. However, all numerical results can be regenerated directly from the provided Abaqus input (.inp) files and associated post-processing scripts.