Acoustic Analysis Model Generation for Complex Objects
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Solution Overview
Problem
Conventional acoustic analysis methods using Statistical Energy Analysis (SEA) are time-consuming and complex, particularly for inexperienced workers, due to the difficulty in dividing objects into subsystems for accurate acoustic vibration modeling.
Innovation Solution
A computer-based analytical support program that creates solid figures around objects, partitions them into elements, determines element affiliations, and generates spatial models representing sound fields, thereby simplifying the process of creating analytical models for acoustic vibration analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual division of objects into subsystems is performed for acoustic analysis modeling, then modeling accuracy is improved, but working time and complexity increase significantly
Solution Approach 1:
The system enables automatic self-service modeling where the computational system autonomously divides the object into subsystems, determines element affiliations, and generates spatial models without requiring manual intervention. This automation maintains modeling accuracy while dramatically reducing the time and expertise required for the division process.
Solution Approach 2:
The patent replaces the manual mechanical process of dividing objects into subsystems with an automated computational system. The system uses algorithms to automatically perform the division, determine which elements belong to which subsystems, and generate the spatial models, substituting human manual work with computational automation.
2Measurement precision
If manual division of objects into subsystems is performed for acoustic analysis modeling, then modeling accuracy is improved, but operational complexity increases
Solution Approach 1:
The system performs the complex task of subsystem division and element affiliation determination automatically without requiring user expertise. The computational system serves itself by autonomously completing the modeling process, making the operation simple for users regardless of their experience level.
Solution Approach 2:
The patent replaces the complex manual operational process with an automated computational system that handles the intricate tasks of dividing objects, determining element affiliations, and generating spatial models, thereby simplifying the user interface and reducing operational complexity.
3Measurement precision
If detailed manual modeling is performed for large and complex objects, then analysis accuracy is improved, but time consumption increases
Solution Approach 1:
The system autonomously handles the detailed modeling of large and complex objects by automatically dividing them into appropriate subsystems and determining element affiliations. This self-service capability maintains high analysis accuracy while significantly improving productivity by eliminating manual bottlenecks.
Solution Approach 2:
The patent replaces manual detailed modeling operations with automated computational processes that can rapidly divide large and complex objects into subsystems, determine element affiliations, and generate accurate spatial models, thereby improving analysis speed without sacrificing precision.
Data Source
AI summary
A non-transitory, computer readable storage medium storing a program that causes a computer to conduct a processing, the processing has creating a solid figure surrounding an object and a solid figure surrounding a plurality of components of a group of components included in the object, based on design information related to the object, determining elements belonging to the solid figure surrounding the plurality of components from a plurality of elements partitioned and divided from the created solid figure surrounding the object, generating a spatial model that represents a space in which the plurality of components exist, based on the determined elements that belong to the solid figure surrounding the plurality of components, and outputting a result of the generating.


