ENG: Mechanical Engineering: Datasets

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    Dataset: effects of salinity beyond coalescence on submicron aerosol distributions
    (2022-11-18) Dubitsky, Lena; Bird, James; Deane, Grant; Stokes, M. Dale
    This dataset was created from laboratory experiments investigating the effect of salinity on submicron aerosol production. Bubbles generated in solutions of sodium acetate and artificial seawater were tested with corresponding measurements of the submicron aerosol size distribution. The bubbling below and above the surface of the liquid are imaged.
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    Asymmetric Buckling Columns (ABC)
    (2022) Prachaseree, Peerasait; Lejeune, Emma
    The Asymmetric Buckling Columns (ABC) dataset contains spatially heterogeneous columns with fixed-fixed boundary conditions that are classified to be buckling left (label of 0) or right (label of 1). The dataset is split into 3 subdatasets: sub-dataset 1, sub-dataset 2, and sub-dataset 3, each with increasing levels of geometric complexity. For each sub-dataset, we provide information to reconstruct the domain geometry as txt files (subdataset*_geometry.zip), graphs from Simple Linear Iterative Clustering (SLIC) segmentation with varying degrees of node density as json files (subdatset*_sparse_graphs.zip, subdatset*_medium_graphs.zip, subdatset*_dense_graphs.zip) , and output labels as txt files (subdataset*_labels.zip). In brief, sub-dataset 1 is generated by stacking blocks with varying widths, sub-dataset 2 consists of overlapping rings of identical size, and sub-dataset 3 consists of overlapping and trimmed rings of varying sizes. For sub-dataset 1 geometry files, "x.txt'' indicates the centers of each block and "l.txt'' gives the length of each block. Each block is stacked top to bottom. For sub-dataset2, the files in folder "x'' and folder ``y'' give the "x'' an "y'' coordinates for each ring with inner radius of 0.15w and outer radius of 0.25w. Note that there is a different number of rings in each structure. For sub-dataset 3, "x.txt'' and "y.txt'' contain the "x'' and "y'' coordinate of each ring, and "outer.txt'' and "inner.txt'' give the ring outer thickness and the ratio of inner thickness to outer thickness respectively. Note that the coordinates for all domains are defined such that the origin is in the top left. Details on how to generate ground truth domain geometry with the provided geometric information and the corresponding graphs and finite element meshes are provided on GitHub (https://github.com/pprachas/ABC_dataset). The json graph files are the graphs used in the corresponding manuscript, and the code to load the json files with Pytorch and Pytorch Geometric is also provided. All subdatasets contain 25,000 simulation results. For the manuscript, 20,000 data points are used to train the ML model with 2,500 datapoints used for validation, and 2,500 datapoints held out as test data. The graphs provided are first shuffled and then split into train, validation and test data. Details of our protocol for shuffling and splitting the data are also provided on GitHub.
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    Buckling Instability Classification (BIC)
    (2020) Lejeune, Emma
    The Buckling Instability Classification (BIC) datasets contain the results of finite element simulations where a heterogeneous column is subject to a fixed level of applied displacement and is classified as either "Stable" or "Unstable." Each model input is a 16x1 vector where the entries of the vector dictate the Young's Modulus (E) of the corresponding portion of the physical column domain. Each input file has 16 columns one for each vector entry. For each 16x1 vector input, there is a single output that indicates if the column was stable or unstable at the fixed level of applied displacement. An output value of "0" indicates stable, and an output value of "1" indicates unstable. In BIC-1, we only allow two possible discrete values for E: E=1 or E=4. In BIC-2, we allow three possible discrete values for E: E=1, E=4, or E=7. In BIC-3, we allow continuous values (to three digits of precision) of E in the range E=1–8. BIC-1 consists of 65,536 simulation results. This exhausts the entire possible input domain. BIC-2 consists of 100,000 simulation results. This is less than 1% of the entire possible input domain. BIC-3 also consists of 100,000 simulation results. This is a tiny fraction of the entire possible input domain.