Precision simulators for slender-member mechanics, reliability forecasting, and field-data analysis — built on public-domain engineering mathematics.
Available Tools — 4 Active
Curvature-driven sideload model with Mitchell helical buckling (1986), chord-sagitta geometry, and configurable material fatigue utilisation. Full FEA stress visualisation across the member cross-section with contact-state tracking at intermediate support, mid-span, and end-connection points.
Field-data Weibull MLE suite for reliability engineers. Paste raw failure records to fit Weibull distributions, run Kaplan-Meier estimation, and forecast fleet failure demand with Monte Carlo simulation across a configurable horizon.
Simultaneous cross-dataset density evaluation. Paste up to 10 numerical columns to instantly generate Kernel Density Estimation (KDE) curves. Compare spread, skew, and central tendencies across multiple datasets, run-life samples, or comparative test populations.
Statistically defensible multivariate analysis for tabular engineering datasets. Upload CSV data to compute Pearson/Spearman/Kendall correlation matrices with Bonferroni or BH multiple-testing correction, run PCA with StandardScaler or RobustScaler, inspect biplots and loadings, then extend to random-forest supervised modelling, k-means clustering, and isolation-forest anomaly detection.