Thin-Walled Structures
ISSN: 0263-8231
Datasets associated with articles published in Thin-Walled Structures
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- Data for: Efficiency of three advanced data-driven models for predicting axial compression capacity of CFDST columnsThese files include matlab code file for six previous equations and experimental data used in this study.
- Dataset
- Data for: Practical artificial neural network tool for predicting the axial compression capacity of circular concrete-filled steel tube columns with ultra-high-strength concreteData and Graphical User Interface (GUI) tool.
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- Data for: Buckling and postbuckling of advanced grid stiffened truncated conical shells with laminated composite skinsThe closed form formulation of buckling load and postbuckling behavior of advanced grid stiffened conical shells with laminated composite skins are translated to code in MATLAB software. All parameters of structure can be defined and then outputs can be evaluated through this code.
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- Data for: A novel multi-cell square tubal structure based on Voronoi tessellation for enhanced crashworthinessComparison of crashworthiness indicators for regular and Voronoi multi-cell tubes.
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- Data for: An analytical solution for buckling and vibration problems of delaminated doubly curved shellsAbaqus validation
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- Data for: Analysis of the free vibration of thin rectangular plates with cut-outs using the discrete singular convolution methodmechanics data
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- Data for: Improving the Direct Strength Method Prediction of Column Flexural-Torsional Failure LoadsThese supplementary data consist of tables providing relevant information about representative samples of the column considered in the work. This information comprises the column (i) geometries (cross-section dimensions and lengths, (ii) geometrical properties, (iii) yield stresses, (iv) numerical ultimate strengths and (v) quantities associated with the DSM-based ultimate strength prediction. The tables are divided into four groups (A to D), each concerning columns with given support conditions (F, PCM, PCm and PS and columns, respectively). Each group comprises seven tables (*.1 to *.7), each corresponding to columns exhibiting a given cross-section shape (U, C, H, R, RLC, WSC and WFSC columns, respectively).
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- Data for: Modelling and testing of 3D printed cellular structures under quasi-static and dynamic conditionsThe MATLAB authorial script for determining the Cowper-Symonds (CS) hardening parameters for constitutive models.
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- Data for: ON THE DEVELOPMENT OF SHELL BUCKLING KNOCKDOWN FACTORS FOR IMPERFECTION SENSITIVE CONICAL SHELLS UNDER PURE BENDINGThe repository includes Python scripts for Buckling analysis using ABAQUS and a result evaluation using Microsoft Excel. A detailed description manual for the scripts is given in the APPENDIX of the article: ON THE DEVELOPMENT OF SHELL BUCKLING KNOCKDOWN FACTORS FOR IMPERFECTION SENSITIVE CONICAL SHELLS UNDER PURE BENDING Also, there are Excel and Power-Point sheets which contain all results which were used and generated for this article.
- Dataset
- Data for: GEOMETRIC IMPERFECTION AND LOWER-BOUND ANALYSIS OF SPHERICAL SHELLS UNDER EXTERNAL PRESSUREThe excel file "LRSM_Sphere_data_002.xlsx" includes about 700 experimental results for spherical shells under external pressure and the corresponding reference. Also, different lower-bound design curves are given.
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