Rail Vehicle Interior Acoustic Noise Simulation
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Solution Overview
Problem
Current design methods for rail vehicle interiors do not adequately account for how changes in configuration and materials affect acoustic noise levels, which significantly impact the user experience, as they lack comprehensive understanding of sound propagation and attenuation within the space.
Innovation Solution
A method and system that simulate the rail vehicle interior, allowing designers to arrange elements and model acoustic noise distribution using ray-tracing and carbody vibration models, incorporating sound absorption coefficients and representative data to provide audible and visual representations of noise levels at specific locations, enabling a more informed design considering the type, location, and construction of interior fittings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If visual representation of interior configuration is provided, then designer can visualize different arrangements, but designer cannot fully understand how changes affect acoustic noise levels and user experience
Solution Approach 1:
The patent creates a virtual copy of the rail vehicle interior with simulated elements that replicate the acoustic properties of real interior fittings. This virtual model allows designers to evaluate acoustic noise levels without building physical prototypes, thereby providing complete acoustic information while avoiding the complexity and cost of multiple physical iterations.
Solution Approach 2:
The patent replaces physical acoustic measurements and prototype testing with computational acoustic simulation. By using software-based ray-tracing algorithms and virtual models, the system eliminates the need for physical prototypes and manual measurement equipment, reducing complexity while providing comprehensive acoustic noise information.
2Measurement precision
If acoustic noise simulation is added to the design system, then complete understanding of noise levels is provided, but system complexity and computational requirements increase
Solution Approach 1:
The patent replaces complex physical acoustic measurement equipment and procedures with computational algorithms running on standard computers. The ray-tracing simulation method uses software-based acoustic propagation models that achieve precise measurement of noise levels without requiring specialized hardware, thereby improving measurement precision while managing system complexity through software rather than hardware.
Solution Approach 2:
The patent introduces an intermediary computational layer between the interior configuration and acoustic noise assessment. The simulation software acts as a mediator that takes geometric and material data from the interior design and translates it into acoustic noise predictions, providing precise measurements without directly requiring complex measurement equipment.
3Measurement precision
If detailed acoustic simulation with ray-tracing is used, then accurate noise distribution is obtained, but computational time and processing power increase
Solution Approach 1:
The patent performs preliminary processing of interior geometry and material properties before running the full acoustic simulation. By pre-processing the spatial data and acoustic material characteristics, the system prepares optimized input for the ray-tracing algorithm, which enables accurate noise distribution calculations while reducing the computational time required during the actual simulation phase.
4Adaptability or versatility
If multiple interior configurations are evaluated for acoustic performance, then optimal design is achieved, but design time and computational resources increase
Solution Approach 1:
The patent enables rapid creation and evaluation of multiple virtual interior configurations by copying and modifying the base virtual model. Designers can efficiently generate variants of interior layouts and materials in the simulation environment, evaluating acoustic performance for each configuration without the time-consuming process of building and testing physical prototypes, thereby maintaining design flexibility while improving productivity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows designers to predict and visualize how different configurations and materials affect acoustic noise, enhancing the user experience by providing a comprehensive understanding of noise levels and propagation, thus enabling more effective interior design decisions.
Implementation Method 1
the acoustic noise distribution for the interior space is calculated via a ray-tracing method based on the carbody vibration model for acoustic noise sources external to the interior space and/or one or more acoustic noise sources internal to the interior space
Implementation Method 2
The ray-tracing method utilises one or more sound absorption coefficients corresponding to the one or more simulated interior elements
Implementation Method 3
the transmission of acoustic noise from sources that are external to the interior into the interior space is modelled via a carbody vibration model
Data Source
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AI summary
A method of designing the interior arrangement of a rail vehicle, the method comprising the steps of providing a simulated rail vehicle with an interior space; arranging one or more simulated elements within the interior space; providing an acoustic noise distribution for the interior space on the basis of at least the simulated elements and their arrangement within the interior space; providing a representation of the acoustic noise at one or more locations within the interior space.