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Description of INSUL 9.0.24

INSUL 9.0.24 is an acoustic engineering software that works to predict sound insulation in buildings. INSUL relies on theoretical models such as Sharp and Cremer to calculate indices such as TL, Rw, STC, IIC and Ln,w. With an extensive database of materials from different regions of the world, users can model single-layer to four-layer structures, consider the effects of leakage, finite size and connections, and even predict rain or interior surface noise from external sources. Version 10 increases accuracy with new features such as support for modern thermal insulation and improved 3D visualization, while older versions such as 9 focused on basic predictions. The overall accuracy is high, but at low frequencies or complex structures it may require laboratory validation, as shown in the MDPI research.

Prediction of transmission losses, percussion noise and rain noise
INSUL is a program for predicting the sound insulation of walls, floors, ceilings, roofs and windows. It also allows predicting floor percussion sound and rain noise on the roof.
This software can provide accurate estimates of sound transmission loss (TL) or percussion sound index (Ln) in one-third octave bands, as well as weighted sound reduction index (STC or Rw) or percussion sound rating (IIC/LnTw); values ​​that are useful in sound transmission calculations, acoustic design, and specification development.

Evaluating material or design changes
INSUL can be used to quickly evaluate new materials and systems, or to investigate the impact of changes to existing designs. The software models materials based on the well-known theory of elastic plates and takes into account the effects of thick panels as published by Ljunggren, Rindel, and others. More complex isolators are modeled based on studies by Sharp, Cremer, and others.

Test data can be imported for easy comparison with prediction results, and structures can be saved for later use.
INSUL also takes into account Finite Size Effects, which are very important in predicting small samples such as windows, as well as at low frequencies for common components.

As with any prediction tool, INSUL is not a substitute for actual measurement. However, comparison with laboratory data shows that the software predicts the STC value for most structures to within about 3 dB.
INSUL significantly enhances the ability of acoustic consultants and product manufacturers to quickly and confidently specify and design structures to achieve the desired level of airborne sound insulation.

Features of INSUL 9.0.24

Sound Insulation Prediction: Estimate sound transmission loss for walls, floors, ceilings, windows, and other building elements.

STC and Rw Calculations: Evaluate acoustic performance using commonly used sound insulation rating systems.

Building Construction Modeling: Create and analyze layered partitions using different materials and construction configurations.

Material Database: Access material libraries and filter materials by category, manufacturer, and region.

Impact Noise Prediction: Estimate impact sound pressure levels for floor constructions.

Rain Noise Analysis: Predict noise generated by rainfall on building elements such as roofs.

Leakage Analysis: Investigate the sound insulation performance of leaks and openings.

Composite Transmission Loss: Calculate the combined sound reduction performance of multiple building elements.

Outdoor-to-Indoor Calculations: Estimate sound levels transmitted from outdoor environments into buildings.

3D Construction Visualization: View, rotate, and zoom construction illustrations to better understand modeled assemblies.

Report and Data Export: Present calculation results and export supported data for use in other acoustic analysis workflows.

Benefits of INSUL 9.0.24
INSUL helps reduce the time required to evaluate acoustic construction alternatives during building design. Engineers can compare materials, test different wall and floor configurations, and identify potential improvements before construction.

The software provides useful estimates for early-stage design and acoustic assessment. However, its predictions should be considered alongside applicable standards, professional judgment, and laboratory test data where required.

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