Composite Durability Analysis via Discrete Finite Element Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for modeling crack and fracture propagation in materials, particularly composite structures, are costly and time-consuming, especially for no-growth and slow-growth criteria, and lack the ability to accurately predict small crack growth, leading to expensive and lengthy physical testing requirements.
Innovation Solution
A computational approach using discrete and finite elements to model crack initiation and propagation based on material properties and a process zone analysis, allowing for prediction of crack growth under various loading conditions, reducing the need for extensive physical testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical static and fatigue testing is performed to validate no-growth design criteria, then structural durability and damage tolerance are ensured, but testing costs and time latency increase significantly
Solution Approach 1:
The patent creates a virtual copy of the physical structure through finite element modeling. The computational model replicates the structural behavior, material properties, and loading conditions, allowing virtual testing and validation of no-growth criteria without requiring extensive physical testing, thereby reducing time latency while maintaining reliability assessment capabilities
Solution Approach 2:
The patent replaces the mechanical physical testing system with a computational mechanics system. By using finite element analysis and fracture mechanics-based algorithms, the system substitutes physical static and fatigue testing with computational simulations that predict crack initiation and propagation, eliminating the time-consuming nature of physical testing while preserving the essential mechanical behavior analysis
2Reliability
If physical static and fatigue testing is performed to achieve certification, then structural reliability is validated, but testing costs increase to hundreds of millions of dollars
Solution Approach 1:
The patent creates a virtual copy of the physical structure through finite element modeling. The computational model replicates the structural behavior, material properties, and loading conditions, allowing virtual testing and validation of no-growth criteria without requiring extensive physical testing, thereby reducing time latency while maintaining reliability assessment capabilities
Solution Approach 2:
The patent replaces the mechanical physical testing system with a computational mechanics system. By using finite element analysis and fracture mechanics-based algorithms, the system substitutes physical static and fatigue testing with computational simulations that predict crack initiation and propagation, eliminating the time-consuming nature of physical testing while preserving the essential mechanical behavior analysis
3Ease of manufacture
If conventional modeling methods are used for crack propagation, then simple geometries can be analyzed, but small crack growth affecting structural durability cannot be accurately modeled
Solution Approach 1:
The patent segments the structure into discrete finite elements, allowing the model to capture localized crack behavior at different scales. This segmentation enables the analysis of small crack growth by dividing the continuous structure into discrete units that can individually represent crack initiation and propagation zones, thereby improving measurement precision for small cracks while maintaining computational feasibility
Solution Approach 2:
The patent applies local quality by using fracture mechanics-based algorithms specifically in regions where crack initiation and propagation are expected, while using simpler stress analysis in other regions. This localized application of complex modeling techniques improves small crack growth prediction accuracy without requiring complex modeling throughout the entire structure, thus maintaining ease of manufacture
4Reliability
If multiple layers of physical testing are performed at different design-test-certification levels, then comprehensive validation is achieved, but complications, latency, and costs increase
Solution Approach 1:
The patent creates a universal computational framework that can perform multiple validation functions across different design-test-certification levels through a single finite element modeling system. The same model can be used for coupon-level, sub-element-level, element-level, sub-component-level, and component-level validation, eliminating the need for separate physical testing programs at each level and reducing overall testing complexity while maintaining comprehensive validation
Data Source
AI summary
Systems, apparatuses and methods provides for technology that generates a plurality of discrete and finite elements associated with a component, where a number of the plurality of discrete and finite elements corresponds to a size of an estimated process zone. The technology further identifies material input properties of the component, models crack propagation throughout the plurality of discrete and finite elements based on the material input properties and models a release response in the plurality of discrete and finite elements based on the material input properties.