Reduced-Dimension Surrogate Modeling to Characterize the Damage Tolerance of Composite/Metal Structures
Complex engineering models are typically computationally demanding and defined by a high-dimensional parameter space challenging the comprehensive exploration of parameter effects and design optimization. To overcome this curse of dimensionality and to minimize computational resource requirements, t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Modelling |
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| Online Access: | https://www.mdpi.com/2673-3951/4/4/28 |
| _version_ | 1797379942944604160 |
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| author | Corey Arndt Cody Crusenberry Bozhi Heng Rochelle Butler Stephanie TerMaath |
| author_facet | Corey Arndt Cody Crusenberry Bozhi Heng Rochelle Butler Stephanie TerMaath |
| author_sort | Corey Arndt |
| collection | DOAJ |
| description | Complex engineering models are typically computationally demanding and defined by a high-dimensional parameter space challenging the comprehensive exploration of parameter effects and design optimization. To overcome this curse of dimensionality and to minimize computational resource requirements, this research demonstrates a user-friendly approach to formulating a reduced-dimension surrogate model that represents a high-dimensional, high-fidelity source model. This approach was developed specifically for a non-expert using commercially available tools. In this approach, the complex physical behavior of the high-fidelity source model is separated into individual, interacting physical behaviors. A separate reduced-dimension surrogate model is created for each behavior and then all are summed to formulate the reduced-dimension surrogate model representing the source model. In addition to a substantial reduction in computational resources and comparable accuracy, this method also provides a characterization of each individual behavior providing additional insight into the source model behavior. The approach encompasses experimental testing, finite element analysis, surrogate modeling, and sensitivity analysis and is demonstrated by formulating a reduced-dimension surrogate model for the damage tolerance of an aluminum plate reinforced with a co-cured bonded E-glass/epoxy composite laminate under four-point bending. It is concluded that this problem is difficult to characterize and breaking the problem into interacting mechanisms leads to improved information on influential parameters and efficient reduced-dimension surrogate modeling. The disbond damage at the interface between the resin and metal proved the most difficult mechanism for reduced-dimension surrogate modeling as it is only engaged in a small subspace of the full parameter space. A binary function was successful in engaging this damage mechanism when applicable based on the values of the most influential parameters. |
| first_indexed | 2024-03-08T20:31:19Z |
| format | Article |
| id | doaj.art-cec89efe109449618c10831a994f589c |
| institution | Directory Open Access Journal |
| issn | 2673-3951 |
| language | English |
| last_indexed | 2024-03-08T20:31:19Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Modelling |
| spelling | doaj.art-cec89efe109449618c10831a994f589c2023-12-22T14:26:58ZengMDPI AGModelling2673-39512023-11-014448551410.3390/modelling4040028Reduced-Dimension Surrogate Modeling to Characterize the Damage Tolerance of Composite/Metal StructuresCorey Arndt0Cody Crusenberry1Bozhi Heng2Rochelle Butler3Stephanie TerMaath4Department of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, TN 37996, USADepartment of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, TN 37996, USADepartment of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, TN 37996, USADepartment of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, TN 37996, USADepartment of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, TN 37996, USAComplex engineering models are typically computationally demanding and defined by a high-dimensional parameter space challenging the comprehensive exploration of parameter effects and design optimization. To overcome this curse of dimensionality and to minimize computational resource requirements, this research demonstrates a user-friendly approach to formulating a reduced-dimension surrogate model that represents a high-dimensional, high-fidelity source model. This approach was developed specifically for a non-expert using commercially available tools. In this approach, the complex physical behavior of the high-fidelity source model is separated into individual, interacting physical behaviors. A separate reduced-dimension surrogate model is created for each behavior and then all are summed to formulate the reduced-dimension surrogate model representing the source model. In addition to a substantial reduction in computational resources and comparable accuracy, this method also provides a characterization of each individual behavior providing additional insight into the source model behavior. The approach encompasses experimental testing, finite element analysis, surrogate modeling, and sensitivity analysis and is demonstrated by formulating a reduced-dimension surrogate model for the damage tolerance of an aluminum plate reinforced with a co-cured bonded E-glass/epoxy composite laminate under four-point bending. It is concluded that this problem is difficult to characterize and breaking the problem into interacting mechanisms leads to improved information on influential parameters and efficient reduced-dimension surrogate modeling. The disbond damage at the interface between the resin and metal proved the most difficult mechanism for reduced-dimension surrogate modeling as it is only engaged in a small subspace of the full parameter space. A binary function was successful in engaging this damage mechanism when applicable based on the values of the most influential parameters.https://www.mdpi.com/2673-3951/4/4/28finite element analysisreduced-dimension surrogate modelingsensitivity analysislayered structuredamage tolerancesurrogate modeling |
| spellingShingle | Corey Arndt Cody Crusenberry Bozhi Heng Rochelle Butler Stephanie TerMaath Reduced-Dimension Surrogate Modeling to Characterize the Damage Tolerance of Composite/Metal Structures Modelling finite element analysis reduced-dimension surrogate modeling sensitivity analysis layered structure damage tolerance surrogate modeling |
| title | Reduced-Dimension Surrogate Modeling to Characterize the Damage Tolerance of Composite/Metal Structures |
| title_full | Reduced-Dimension Surrogate Modeling to Characterize the Damage Tolerance of Composite/Metal Structures |
| title_fullStr | Reduced-Dimension Surrogate Modeling to Characterize the Damage Tolerance of Composite/Metal Structures |
| title_full_unstemmed | Reduced-Dimension Surrogate Modeling to Characterize the Damage Tolerance of Composite/Metal Structures |
| title_short | Reduced-Dimension Surrogate Modeling to Characterize the Damage Tolerance of Composite/Metal Structures |
| title_sort | reduced dimension surrogate modeling to characterize the damage tolerance of composite metal structures |
| topic | finite element analysis reduced-dimension surrogate modeling sensitivity analysis layered structure damage tolerance surrogate modeling |
| url | https://www.mdpi.com/2673-3951/4/4/28 |
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