Research Data on Fatigue Tests of As-Welded, Deep-Rolled, and HFMI-Treated Joints

This repository contains experimental, geometrical, and numerical data from fatigue investigations on butt-welded steel specimens with different post-weld treatment conditions, including:

  • As-welded
  • Deep-rolled
  • HFMI-treated

The data are stored in open, text-based formats (UTF-8 encoded, tab-delimited or CSV) to ensure long-term accessibility and compatibility with MATLAB, Python, and other tools. Each file includes human-readable headers and can be directly imported.

Repository Structure

scan_geometry/
    3D point cloud data of weld geometries (front/back)

    raw/
        Original scan data without modifications

    processed/
        Transformed and post-processed scan data:
        coordinate systems aligned
        weld profiles smoothed

metadata.txt / .csv
    General specimen information:
    SpecimenName, Material, Condition, Geometry, Thickness_mm

fatigue_test_data.txt / .csv
    Fatigue test results:
    StressRatio, NominalStressRange_MPa, LoadCyclesToFailure,
    LoadCyclesToCrack, RunOut, Outlier, FailedNotch, Date

imperfections.txt / .csv
    Measured welding imperfections:
    AngularMisalignment_mm, AxialMisalignment_mm

scan_files.txt / .csv
    Mapping between specimen names and scan files:
    Raw and processed scans (front/back)

fe_results.txt / .csv
    Finite element results per specimen and notch (1–4):
    ClampingStressNominal_MPa
    ClampingStressNotch_MPa
    NotchFactor_TCD

weldtoe_geometry.txt / .csv
    Weld toe geometry per specimen and notch (1–4):
    Radius_IM_mm, Radius_LSM_mm, Radius_CM_mm,
    Angle_MAX_deg

    The values represent averaged weld toe geometry parameters.
    Radii and angles are computed as mean values along the weld toe line
    for each notch and measurement side, excluding invalid values (NaN).

import_examples/
    Example scripts for reading and processing the data
    in MATLAB and Python

Data Format

  • TXT files are tab-separated (\t)
  • CSV files are comma-separated
  • UTF-8 encoding is used throughout
  • Missing values are represented by NA

Each file contains descriptive column headers and can be imported directly into standard data analysis tools.

Dataset Characteristics

  • SpecimenName uniquely identifies each specimen.
  • Most tables contain one row per specimen.
  • FE and weld toe geometry datasets contain multiple rows per specimen (one row per notch).
  • Processed scan geometries are spatially aligned and smoothed for further analysis.
  • Weld toe geometry parameters are averaged along the weld toe line after exclusion of invalid (NaN) values.

Example Import

MATLAB

T = readtable('fatigue_test_data.txt', 'Delimiter', '\t');

Python

import pandas as pd df = pd.read_csv('fatigue_test_data.txt', sep='\t')

Intended Applications

The dataset can be used for:

  • Fatigue assessment of welded joints
  • Investigation of post-weld treatment effects
  • Statistical evaluation of weld imperfections
  • Validation of finite element models
  • Geometry-based fatigue analysis
  • Data-driven and machine learning approaches in fatigue research

Related Publication

Associated dissertation:

Dänekas, C. (2026). Influence of deep rolling on the fatigue resistance of butt-welded joints. Leibniz University Hannover.

Contact

Christian Dänekas Institute of Steel Construction Leibniz University Hannover

LinkedIn: Christian Dänekas on LinkedIn

Institute Email: stahlbau@stahl.uni-hannover.de

Institute Website: Institute of Steel Construction – Leibniz University Hannover

Data and Resources

Cite this as

Christian Dänekas (2025). Research Data on Fatigue Tests of As-Welded, Deep-Rolled, and HFMI-Treated Joints [Data set]. LUIS. https://doi.org/10.25835/0dojws6u
Retrieved: 19:24 14 May 2026 (UTC)

Additional Info

Field Value
Author Christian Dänekas
Maintainer Christian Dänekas
Version 1.0
Last Updated May 10, 2026, 16:27 (UTC)
Created August 25, 2025, 12:28 (UTC)
License Creative Commons Attribution 4.0 International
Dataset Size 588.2 MByte