Acoustic Characterization and Modeling of Silicone-Bonded Cocoa Crop Waste Using a Model Based on the Gaussian Support Vector Machine

Puyana‐Romero, Virginia; Iannace, Gino; Cajas-Camacho, Lilian Gisselle; Garzón-Pico, Christiam; Ciaburro, Giuseppe

doi:10.3390/fib10030025

Cited by 6 publications

(2 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the parameters and the response spectrum analysis techniques, it is possible to characterize the absorption by GF [30]. To explore the characteristics of the acoustic absorption spectrum, Gaussian fits have been successfully used in the analysis of the acoustic response of various materials [31,32]. All the fittings described in this subsection were carried out using the software Origin 8.0.…”

Section: Sound Absorption Analysis By Gaussian Adjustmentmentioning

confidence: 99%

Towards Sustainable Road Pavements: Sound Absorption in Rubber-Modified Asphalt Mixtures

Apaza,

Fernández Vázquez,

Paje

et al. 2024

Infrastructures

View full text Add to dashboard Cite

In the last decade, various asphalt paving materials have undergone investigation for sound attenuation purposes. This research aims to delve into the innovative design of sustainable road pavements by examining sound absorption in rubber-modified asphalt mixtures. More specifically, the impact of alternative sustainable materials on the sound absorption of asphalt mixtures across different temperatures, precisely crumb rubber (CR) derived from recycling of end-of-life tires, was investigated. The acoustic coefficient and its Gaussian fit parameters (Peak, BandWidth, and Area Under the Curve) were evaluated. Five different types of asphalt mixtures were studied, encompassing dense, discontinuous, and open mixtures with 0%, 0.75%, and 1.50% CR incorporated through the dry process (DP). The results of sound absorption indicated a slight influence of crumb rubber at temperatures ranging from 10 °C to 60 °C, particularly in mixtures with high void content. On the other hand, as expected, the void content proved to be highly correlated with sound absorption. These findings facilitated the establishment of predictive models that correlate acoustic absorption spectra with the characteristics of asphalt mixtures. As a result, these models will be valuable in the design of the next generation of sound-absorbing pavements.

show abstract

Section: Sound Absorption Analysis By Gaussian Adjustmentmentioning

confidence: 99%

Towards Sustainable Road Pavements: Sound Absorption in Rubber-Modified Asphalt Mixtures

Apaza,

Fernández Vázquez,

Paje

et al. 2024

Infrastructures

View full text Add to dashboard Cite

show abstract

“…For each repetition of the measurement, the specimen was repositioned in the tube. The results obtained were appropriately selected, taking care to discard the extreme values and making an average of the measured values [76,77].…”

Section: Impedance Tube Measurementsmentioning

confidence: 99%

Design Optimization of Three-Layered Metamaterial Acoustic Absorbers Based on PVC Reused Membrane and Metal Washers

Ciaburro

Parente²,

Iannace

et al. 2022

Sustainability

Self Cite

View full text Add to dashboard Cite

Waste management represents a critical issue that industrialized countries must necessarily deal with. Sustainable architecture involves the reuse of materials with the aim of significantly reducing the amount of waste produced. In this study, a new layered membrane metamaterial was developed based on three layers of a reused PVC membrane and reused metal washers attached. The membranes were fixed to a rigid support, leaving a cavity between the stacked layers. The samples were used to measure the sound absorption coefficient with an impedance tube. Different configurations were analyzed, changing the number of masses attached to each layer and the geometry of their position. These measurements were subsequently used to train a model based on artificial neural networks for the prediction of the sound absorption coefficient. This model was then used to identify the metamaterial configuration that returns the best absorption performance. The designed metamaterial behaves like an acoustic absorber even at low frequencies.

show abstract

Acoustic absorption characterization and modeling using support vector regression of plasterboards reinforced with woven Moroccan sisal fiber

Samouh,

Er-Rradi,

Idchabani

et al. 2024

Building Acoustics

View full text Add to dashboard Cite

The acoustic comfort and environmental concerns in the building sector are two interconnected and crucial aspects for the sustainable development of the construction industry. This study investigates the acoustic absorption properties of plasterboards reinforced with woven fabric made from Moroccan sisal fiber. Three different weave designs, Basket 2-2, 2/2 Twill, and 4-Harness Satin, were produced using a conventional weaving process. Plasterboards were manually fabricated by varying the number of fabric layers (one, two, or three) and employing a water/plaster ratio of 0.7. The acoustic performance of the plasterboards was evaluated using an impedance tube according to ISO 10534-2. The results demonstrated that the plasterboards reinforced with the Basket 2-2 weave achieved the highest sound absorption coefficient, reaching 0.39 at 1700 Hz with three layers, significantly higher than pure plasterboards, which exhibited a maximum coefficient of 0.05. The study also employed support vector regression (SVR) models to predict the sound absorption coefficient, with the linear SVM model achieving the best predictive accuracy (R² = 0.88, RMSE = 0.024). These findings underscore the potential of Moroccan sisal fiber as an eco-friendly reinforcement for improving the acoustic absorption of plasterboards.

show abstract

Acoustic Characterization and Modeling of Silicone-Bonded Cocoa Crop Waste Using a Model Based on the Gaussian Support Vector Machine

Cited by 6 publications

References 66 publications

Towards Sustainable Road Pavements: Sound Absorption in Rubber-Modified Asphalt Mixtures

Towards Sustainable Road Pavements: Sound Absorption in Rubber-Modified Asphalt Mixtures

Design Optimization of Three-Layered Metamaterial Acoustic Absorbers Based on PVC Reused Membrane and Metal Washers

Acoustic absorption characterization and modeling using support vector regression of plasterboards reinforced with woven Moroccan sisal fiber

Contact Info

Product

Resources

About