RESIST Research Group
Tools & Spreadsheet Programs
RESIST Group members create advanced spreadsheets using VBA language for their research. We also share these freely with the community to contribute to other studies. You may review the getting started videos to determine their fit into your research. Download links are also provided below. We hope that you will find these tools useful.
Handouts used in our Tutorials
Linear SAP2000 Models: Truss modeling Frame Modeling Special Cases 3D Truss Modeling 3D Frame Modeling
Nonlinear SAP2000 Models: Nonlinear Beam Modeling (Default Hinges) Nonlinear Beam Modeling (Custom Hinges)
Nonlinear VecTor5 Models: Continuous Beam Shear-Critical Frame (pdf) Shear-Critical Frame (xlsx)
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ANN-ConDeep: Artificial Neural Network for Continuous Deep BeamsANN-ConDeep is developed to predict the shear strength of two-span continuous deep beams using an artificial neural network (ANN). Developed through rigorous training on an experimental database of 140 specimens, all of which exhibited shear-critical behavior, ANN-ConDeep enables instant shear strength predictions while maintaining accuracy comparable to experimental results |
Beam-Column Joint Hinge Generator for SAP2000 (Machine Learning Based)Beam-Column Joint Hinge Generator using an Artificial Neural Network (ANN) is developed to predict the joint shear strength and derive the shear stress-strain and moment rotation curves of both exterior and interior beam-column joints with or without transverse reinforcement. |
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Beam-Column Joint Hinge Generator for SAP2000 (Mechanics Based)Joint Hinge Generator is developed to generate shear stress-strain and moment rotation curves of both exterior and interior beam-column joints with or without transverse reinforcement. The generated curves can readily be used in global frame analysis software such as SAP2000. |
ANN-CustomizeA VBA-coded spreadsheet that offers an easy and fast way to create and train artificial neural networks for predicting any outcomes using your own variables and training database. |
Ready-to-Use Artificial Neural Network for Adhesive Anchors in Cracked ConcreteAn artificial neural network trained and tested with over 100 experimental results from a worldwide database to rapidly and accurately predict the load capacity of adhesive anchors installed into cracked concrete. |
Equivalent Cone MethodA novel method to permit the three-dimensional concrete breakout phenomenon to be accurately simulated using 2D finite element models only. |
Fragility Function GeneratorThis VBA-coded spreadsheet is an easy and fast way to create fragility functions for any kind of hazard analysis. It calculates fragilities based on any number of specified performance limits and data points. |