Analytical Model Generation via Simultaneous Node Optimization
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Solution Overview
Problem
Current methods for generating analytical models from CAD models face challenges in maintaining synchronicity between physical and analytical representations, leading to potential errors and inefficiencies in structural analysis, particularly due to heuristic coincidence traps that impede user editing and may result in incorrect analytical models.
Innovation Solution
A computer-implemented method that generates an analytical model by creating connection nodes associated with multiple analytical elements, allowing simultaneous movement and adjustment to avoid heuristic coincidence traps, and uses optimization of a cost function to ensure tangency of analytical elements with connection nodes, thereby enabling accurate and efficient generation of analytical models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If analytical elements are generated automatically from physical elements, then the generation efficiency is improved, but synchronization errors may occur between physical and analytical representations
Solution Approach 1:
The system continuously monitors the spatial relationship between physical elements and analytical elements, and automatically adjusts analytical element positions when deviations are detected. This feedback mechanism ensures synchronization is maintained without requiring manual intervention, thus resolving the contradiction between automated generation efficiency and synchronization accuracy.
Solution Approach 2:
The system pre-establishes the analytical model structure based on physical element definitions, and proactively adjusts analytical element positions before analysis errors can occur. By performing preliminary synchronization checks and adjustments, the system prevents divergence between physical and analytical representations while maintaining automated generation benefits.
2Manufacturing precision
If analytical elements are allowed to move freely to achieve tangency, then the analytical model accuracy is improved, but heuristic coincidence traps occur that impede user editing
Solution Approach 1:
The system implements dynamic positioning where analytical elements can move to achieve tangency with physical elements, but user interactions override these automatic adjustments. This dynamic behavior allows the system to maintain high analytical accuracy through automatic tangency while preserving user editing freedom, as user actions temporarily suspend the automatic position correction mechanism.
Solution Approach 2:
The system introduces an intermediary control mechanism that mediates between automatic tangency requirements and user editing needs. When users interact with analytical elements, the intermediary temporarily disables automatic position adjustments, allowing free editing. After user interaction ends, the intermediary re-enables automatic adjustments to maintain tangency accuracy, thus resolving the contradiction between precision and ease of operation.
3Device complexity
If multiple analytical elements are connected to a single connection node, then the model complexity is reduced, but maintaining tangency for all elements becomes computationally difficult
Solution Approach 1:
The system segments the tangency computation problem by handling each analytical element's tangency requirement independently through individual position adjustments, rather than attempting to solve all tangency constraints simultaneously. This segmentation approach maintains the simplified connection node structure while making the computational problem tractable by breaking it into manageable sub-problems.
Solution Approach 2:
The system employs iterative dynamic adjustment where analytical element positions are continuously refined to achieve tangency with the connection node. Through repeated small adjustments and convergence checks, the system solves the complex tangency computation problem while maintaining the simple connected structure of multiple elements sharing a single node, thus resolving the contradiction between structural simplicity and computational difficulty.
Data Source
AI summary
A CAD model represents a structure and comprises a plurality of physical elements. For each of multiple physical elements, an analytical element is generated. One or more connection nodes each associated with two or more analytical elements and comprising an initial spatial configuration are generated. At least one analytical element associated with a connection node is not tangent to the connection node. New spatial configurations for all analytical elements and all connection nodes are computed simultaneously to make analytical elements associated with a connection node tangent to said connection node. In an embodiment, the new spatial configurations may be computed simultaneously via optimization of a cost function based on the spatial configurations of the analytical elements and connection nodes. In an embodiment, a representation of the analytical model may be automatically displayed to a user via a GUI.