Reduced-Dimension Surrogate Modeling to Characterize the Damage Tolerance of Composite/Metal Structures
Corey Arndt, Cody Crusenberry, Bozhi Heng, Rochelle Butler, Stephanie, TerMaath

TL;DR
This paper presents a user-friendly reduced-dimension surrogate modeling approach for complex high-fidelity models, enabling efficient damage tolerance analysis of composite/metal structures with insights into individual physical behaviors.
Contribution
The paper introduces a novel method to decompose complex models into separate behaviors, creating reduced surrogate models for each, which simplifies analysis and enhances interpretability.
Findings
Significant reduction in computational resources needed
Maintains high accuracy comparable to full models
Provides detailed insight into individual physical behaviors
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMechanical Behavior of Composites · Structural Behavior of Reinforced Concrete · Probabilistic and Robust Engineering Design
