scholarly journals Acoustic behavior of porous concrete. Characterization by experimental and inversion methods

2019 ◽  
Vol 69 (336) ◽  
pp. 202 ◽  
Author(s):  
M. Pereira ◽  
J. Carbajo ◽  
L. Godinho ◽  
P. Amado-Mendes ◽  
D. Mateus ◽  
...  
Keyword(s):  
Sound Absorption ◽  
Inverse Method ◽  
Numerical Models ◽  
Acoustic Behavior ◽  
Cement Ratio ◽  
Porous Concrete ◽  
Work Samples ◽  
Concrete Characterization ◽  
And Inversion ◽  
Macroscopic Parameters

The use of porous concrete solutions with lightweight aggregates has become increasingly common in noise control due to their versatility in exterior and interior applications. In this work, samples of porous consolidated concrete with aggregates of expanded clay were produced, in order to study the influence of the grain size, thickness and water/aggregate/cement ratio on the sound absorption. Experimental techniques were used to obtain the surface impedance and sound absorption coefficient. In addition to experimental characterizations, an inverse method was used (based on a genetic algorithm) to obtain the macroscopic parameters capable of representing the materials studied through the theoretical model of Horoshenkov-Swift. Using the theoretical Horoshenkhov-Swift model it becomes possible to represent these materials in numerical models as equivalent fluids.

Mechanical Properties of Granite-Gravel Porous Concrete

2021 ◽  
Vol 57 ◽  
pp. 115-123
Author(s):  
Samson Olalekan Odeyemi
Keyword(s):  
Compressive Strength ◽  
Coarse Aggregate ◽  
Optimal Combination ◽  
Control Surface ◽  
Control Specimen ◽  
Cement Ratio ◽  
Porous Concrete ◽  
Design Expert ◽  
Optimal Mix ◽  
Percentage Porosity

The need for porous concrete has become increased due its ability to control surface water, increase the rate of recharging groundwater, and reduce pollution of the ecosystem. Granite is a coarse aggregate that is quite expensive when compared with gravel in Nigeria. Therefore, this research is aimed at optimizing blended granite and gravel in the production of porous concrete. Samples of blended granite-gravel porous concrete of varying mix proportions were produced using cement to aggregate mix ratio of 1:4. The samples were tested for their porosity, workability and compressive strengths. The data collected were analyzed with the aid of Design Expert 10.0. It was observed that the optimal combination for the granite-gravel blended porous concrete is 12% granite, 88% gravel, and a water-cement ratio of 0.66%. This combination gave a porous concrete with a compressive strength of 48.4 N/mm2, percentage porosity of 6% and a compacting factor of 0.91. These values when compared to that of the control specimen revealed that the optimal mix gave a porous concrete with higher porosity, higher workability and a better compressive strength.

Porous Concrete Paving Blocks Using Coarse Aggregate

2014 ◽  
Vol 554 ◽  
pp. 111-115 ◽  
Author(s):  
A.H. Nur Hidayah ◽  
Md. Nor Hasanan ◽  
P.J. Ramadhansyah
Keyword(s):  
Laboratory Tests ◽  
Coarse Aggregate ◽  
Skid Resistance ◽  
Fine Aggregate ◽  
Particle Sizes ◽  
Test Results ◽  
Cement Ratio ◽  
Porous Concrete ◽  
Water To Cement Ratio ◽  
Resistance Tests

The objective of the study is to investigate the potential of using Porous Concrete Paving Blocks (PCPB) as a part of paving surface. Laboratory tests were conducted to compare and examine the effect of particle sizes of coarse aggregate. Two coarse aggregate sizes were selected; passing 8 mm retains 5 mm and passing 10 mm retains 8 mm. The fine aggregate was eliminated from mixes. The water to cement ratio used was 0.35. Compressive strength and skid resistance tests were performed to evaluate the properties of PCPB. The test results indicated that there was a reduction in the strength when coarse aggregate at different size was used. Scanning electron microscopy showed that voids, poor bonding and lack of adhesion at the boundaries of the aggregate with cement paste contributing to the low PCPB strength. However, both PCPB specimens provide 30 % to 40 % increase in skid resistance compared to Concrete Paving Blocks (CPB).

Plastometric Testing of Rheological Properties of 5083 and 5754 Aluminium Alloy

2016 ◽  
Vol 682 ◽  
pp. 362-366
Author(s):  
Sylwester Sawicki ◽  
Anna Kawałek ◽  
Konrad Laber ◽  
Henryk Dyja ◽  
Jacek Borowski ◽  
...  
Keyword(s):  
Aluminium Alloy ◽  
Rheological Properties ◽  
Inverse Method ◽  
Numerical Models ◽  
Strain Rate Range ◽  
Digital Filtration ◽  
Deformation Parameters ◽  
The Subject ◽  
Mathematical Processing ◽  
Metallurgical Processes

The paper present a method for determining the real steel work-hardening curves based on the cylindrical specimen compression test. The subject of testing were 5083 and 5754 aluminium alloy. The tests were carried out using the physical simulator of metallurgical processes GLEEBLE 3800 (Figure 1a) for the temperature range of 400 ÷ 560 °C and the strain rate range of 0,1 - 1,0s-1. Based on plastic deformation parameters recorded during the experiment, mathematical processing, that is the digital filtration and approximation of the obtained testing results, will be performed. Then, using the inverse method, the actual values of the coefficients of the numerical models for the rheological properties of the tested materials will be determined.

scholarly journals Numerical Simulation for the Sound Absorption Properties of Ceramic Resonators

Fibers ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 77
Author(s):  
Giuseppe Ciaburro ◽  
Gino Iannace
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Simulation Model ◽  
Sound Absorption ◽  
Ceramic Materials ◽  
Acoustic Behavior ◽  
Absorption Properties ◽  
Acoustic Resonators ◽  
Absorption Performance ◽  
Artificial Neural

This work reports the results of experimental measurements of the sound absorption coefficient of ceramic materials using the principle of acoustic resonators. Subsequently, the values obtained from the measurements were used to train a simulation model of the acoustic behavior of the analyzed material based on artificial neural networks. The possible applications of sound-absorbing materials made with ceramic can derive from aesthetic or architectural needs or from functional needs, as ceramic is a fireproof material resistant to high temperatures. The results returned by the simulation model based on the artificial neural networks algorithm are particularly significant. This result suggests the adoption of this technology to find the finest possible configuration that allows the best sound absorption performance of the material.

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