geruganti, sudhakar, & orcid:0009-0000-0039-. (2025). Multidimensional Visualization and Empirical Validation of the Sudhakar Anisotropic Constitutive Model for Composite Laminate Stiffness Prediction ; Alternative Titles Technical & Direct: A 3 D Computational and Graphical Analysis Validating the Predictive Accuracy of the SAC Model Against Experimental Laminate Stiffness Data. Results-Oriented: Quantifying Excellence: 3 D Visual Evidence of a 99.87% Correlation Between the Sudhakar Model and Empirical Composite Stiffness. Conceptual: Mapping Anisotropy: A Suite of 3 D Diagrams Illuminating the Mechanics and Validation of a Novel Composite Predictive Model. Concise: 3 D Empirical Validation of the Sudhakar Anisotropic Constitutive Model. ; Subtitles For the Research Paper: *A graphical suite correlating theoretical predictions with experimental data for in-plane and bending stiffness terms, demonstrating exceptional predictive accuracy with R² = 0.9987.* For a Presentation: A visual journey from micromechanics to macrostiffness, validating a robust theoretical framework for composite design. For a Repository/Code Listing: Python code (Matplotlib) generating 10 interactive 3 D diagrams for the empirical validation of laminate stiffness prediction using Classical Lamination Theory. Zenodo. https://doi.org/10.5281/zenodo.16935327

GERUGANTI, sudhakar und orcid:0009-0000-0039-, 2025. Multidimensional Visualization and Empirical Validation of the Sudhakar Anisotropic Constitutive Model for Composite Laminate Stiffness Prediction ; Alternative Titles Technical & Direct: A 3 D Computational and Graphical Analysis Validating the Predictive Accuracy of the SAC Model Against Experimental Laminate Stiffness Data. Results-Oriented: Quantifying Excellence: 3 D Visual Evidence of a 99.87% Correlation Between the Sudhakar Model and Empirical Composite Stiffness. Conceptual: Mapping Anisotropy: A Suite of 3 D Diagrams Illuminating the Mechanics and Validation of a Novel Composite Predictive Model. Concise: 3 D Empirical Validation of the Sudhakar Anisotropic Constitutive Model. ; Subtitles For the Research Paper: *A graphical suite correlating theoretical predictions with experimental data for in-plane and bending stiffness terms, demonstrating exceptional predictive accuracy with R² = 0.9987.* For a Presentation: A visual journey from micromechanics to macrostiffness, validating a robust theoretical framework for composite design. For a Repository/Code Listing: Python code (Matplotlib) generating 10 interactive 3 D diagrams for the empirical validation of laminate stiffness prediction using Classical Lamination Theory. Zenodo.

geruganti, sudhakar, und orcid:0009-0000-0039-. Multidimensional Visualization and Empirical Validation of the Sudhakar Anisotropic Constitutive Model for Composite Laminate Stiffness Prediction ; Alternative Titles Technical & Direct: A 3 D Computational and Graphical Analysis Validating the Predictive Accuracy of the SAC Model Against Experimental Laminate Stiffness Data. Results-Oriented: Quantifying Excellence: 3 D Visual Evidence of a 99.87% Correlation Between the Sudhakar Model and Empirical Composite Stiffness. Conceptual: Mapping Anisotropy: A Suite of 3 D Diagrams Illuminating the Mechanics and Validation of a Novel Composite Predictive Model. Concise: 3 D Empirical Validation of the Sudhakar Anisotropic Constitutive Model. ; Subtitles For the Research Paper: *A graphical suite correlating theoretical predictions with experimental data for in-plane and bending stiffness terms, demonstrating exceptional predictive accuracy with R² = 0.9987.* For a Presentation: A visual journey from micromechanics to macrostiffness, validating a robust theoretical framework for composite design. For a Repository/Code Listing: Python code (Matplotlib) generating 10 interactive 3 D diagrams for the empirical validation of laminate stiffness prediction using Classical Lamination Theory. Zenodo, 2025, https://doi.org/10.5281/zenodo.16935327.

geruganti, sudhakar/orcid:0009-0000-0039-: Multidimensional Visualization and Empirical Validation of the Sudhakar Anisotropic Constitutive Model for Composite Laminate Stiffness Prediction ; Alternative Titles Technical & Direct: A 3 D Computational and Graphical Analysis Validating the Predictive Accuracy of the SAC Model Against Experimental Laminate Stiffness Data. Results-Oriented: Quantifying Excellence: 3 D Visual Evidence of a 99.87% Correlation Between the Sudhakar Model and Empirical Composite Stiffness. Conceptual: Mapping Anisotropy: A Suite of 3 D Diagrams Illuminating the Mechanics and Validation of a Novel Composite Predictive Model. Concise: 3 D Empirical Validation of the Sudhakar Anisotropic Constitutive Model. ; Subtitles For the Research Paper: *A graphical suite correlating theoretical predictions with experimental data for in-plane and bending stiffness terms, demonstrating exceptional predictive accuracy with R² = 0.9987.* For a Presentation: A visual journey from micromechanics to macrostiffness, validating a robust theoretical framework for composite design. For a Repository/Code Listing: Python code (Matplotlib) generating 10 interactive 3 D diagrams for the empirical validation of laminate stiffness prediction using Classical Lamination Theory., 2025.

geruganti, sudhakar und orcid:0009-0000-0039-. (2025), Multidimensional Visualization and Empirical Validation of the Sudhakar Anisotropic Constitutive Model for Composite Laminate Stiffness Prediction ; Alternative Titles Technical & Direct: A 3 D Computational and Graphical Analysis Validating the Predictive Accuracy of the SAC Model Against Experimental Laminate Stiffness Data. Results-Oriented: Quantifying Excellence: 3 D Visual Evidence of a 99.87% Correlation Between the Sudhakar Model and Empirical Composite Stiffness. Conceptual: Mapping Anisotropy: A Suite of 3 D Diagrams Illuminating the Mechanics and Validation of a Novel Composite Predictive Model. Concise: 3 D Empirical Validation of the Sudhakar Anisotropic Constitutive Model. ; Subtitles For the Research Paper: *A graphical suite correlating theoretical predictions with experimental data for in-plane and bending stiffness terms, demonstrating exceptional predictive accuracy with R² = 0.9987.* For a Presentation: A visual journey from micromechanics to macrostiffness, validating a robust theoretical framework for composite design. For a Repository/Code Listing: Python code (Matplotlib) generating 10 interactive 3 D diagrams for the empirical validation of laminate stiffness prediction using Classical Lamination Theory., Bd. , Zenodo, verfügbar unter:https://doi.org/10.5281/zenodo.16935327.