scholarly journals Tests of Fiber Cement Materials Containing Recycled Cellulose Fibers

Materials ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 2758
Author(s):  
Tomasz Gorzelańczyk ◽  
Krzysztof Schabowicz ◽  
Mateusz Szymków
Keyword(s):  
Neural Networks ◽  
Acoustic Emission ◽  
Artificial Neural Networks ◽  
Cellulose Fiber ◽  
Cellulose Fibers ◽  
Fiber Content ◽  
Waste Paper ◽  
Three Point Bending ◽  
Recycled Waste ◽  
Recycled Waste Paper

This paper presents the results of investigations into the effect of the use of recycled waste paper cellulose fibers on the properties of fiber cement boards subjected to contamination by moisture. Four series of fiber cement boards were tested. A reference fiber cement board manufactured without the use of recycled cellulose fibers constituted as one of the series. The other three series consisted of boards differing in their recycled cellulose fiber content-ranging from 10% to 50% of the total cellulose fiber content. Specimens of the fiber cement boards were subjected to contamination by moisture by storing them in water for 1–96 h. Subsequently, their basic physical and mechanical parameters, i.e., mass moisture content, absorbability, and modulus of rupture (MOR), were tested. Then, the specimens were investigated by means of acoustic emission during three-point bending. Artificial neural networks were employed to analyze the acoustic emission test results. The tests clearly showed the amount of recycled waste paper cellulose fibers and the length of storage in water to have an adverse effect on the boards, contributing to their degradation. This was reflected in the decrease of the acoustic emission (AE) events count recognized by the artificial neural networks, accompanying the rupture of fibers during the three-point bending of the specimens. In order to gain a more detailed insight into the changes taking place in the structure of the tested fiber cement boards, optical examinations were carried out by means of a scanning electron microscope. Interesting findings crucial for building practice were noted.

scholarly journals Identification of the Degree of Degradation of Fibre-Cement Boards Exposed to Fire by Means of the Acoustic Emission Method and Artificial Neural Networks

Materials ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 656 ◽  
Author(s):  
Krzysztof Schabowicz ◽  
Tomasz Gorzelańczyk ◽  
Mateusz Szymków
Keyword(s):  
Neural Networks ◽  
Acoustic Emission ◽  
Artificial Neural Networks ◽  
Bending Strength ◽  
Acoustic Emission Method ◽  
Emission Method ◽  
Three Point Bending ◽  
Fibre Cement ◽  
Artificial Neural ◽  
Degree Of Degradation

This paper presents the results of research aimed at identifying the degree of degradation of fibre-cement boards exposed to fire. The fibre-cement board samples were initially exposed to fire at various durations in the range of 1–15 min. The samples were then subjected to three-point bending and were investigated using the acoustic emission method. Artificial neural networks (ANNs) were employed to analyse the results yielded by the acoustic emission method. Fire was found to have a degrading effect on the fibres contained in the boards. As the length of exposure to fire increased, the fibres underwent gradual degradation, which was reflected in a decrease in the number of acoustic emission (AE) events recognised by the artificial neural networks as accompanying the breaking of the fibres during the three-point bending of the sample. It was shown that it is not sufficient to determine the degree of degradation of fibre-cement boards solely on the basis of bending strength (MOR).

Damage Mechanisms Identification in FRP Using Acoustic Emission and Artificial Neural Networks

2006 ◽  
Vol 514-516 ◽  
pp. 789-793 ◽  
Author(s):  
Rui de Oliveira ◽  
António Torres Marques
Keyword(s):  
Neural Networks ◽  
Acoustic Emission ◽  
Artificial Neural Networks ◽  
Tensile Test ◽  
A Priori ◽  
The Self ◽  
A Priori Knowledge ◽  
Self Organizing Maps ◽  
Damage Mechanisms ◽  
Artificial Neural

In this study is proposed a procedure for damage discrimination based on acoustic emission signals clustering using artificial neural networks. An unsupervised methodology based on the self-organizing maps of Kohonen is developed considering the lack of a priori knowledge of the different signal classes. The methodology is described and applied to a cross-ply glassfibre/ polyester laminate submitted to a tensile test. In this case, six different AE waveforms were identified. The damage sequence could so be identified from the modal nature of those waves.

Use of Recycled Waste Paper as Fiber Reinforcement for Polypropylene - Examination of Mechanical Properties in Comparison to NFRP

2017 ◽  
Vol 742 ◽  
pp. 25-30 ◽  
Author(s):  
Andrea Scholten ◽  
Niklas Plogmann ◽  
Dieter Meiners
Keyword(s):  
Mechanical Properties ◽  
Natural Fibers ◽  
Polymer Materials ◽  
Waste Paper ◽  
Paper Manufacturing ◽  
Private Households ◽  
University Of Technology ◽  
Paper Fibers ◽  
Recycled Waste ◽  
Recycled Waste Paper

During recycling of waste paper from private households different fractions containing plastics and polluted paper fibers are received. Those polluted fibers cannot be recycled in the common paper manufacturing process or for energy recovery like in waste incinerating plants due t o economic reasons. Current research at the Institute of Polymer Materials and Plastics Engineering at Clausthal University of Technology evaluated the use of this waste paper recyclate as a substitution for natural fibers as fillers and reinforcements in polypropylene. Special attention was given to the mechanical properties of the composites. Additionally the influence of maleic anhydride grafted polypropylene (MAPP) as an adhesive was investigated.

Physico-Mechanical Properties of Cellulose Fiber-Cement Mortars

2020 ◽  
Vol 838 ◽  
pp. 31-38
Author(s):  
Nadežda Števulová ◽  
Viola Hospodarova ◽  
Vojtěch Václavík ◽  
Tomáš Dvorský
Keyword(s):  
Flexural Strength ◽  
Cellulose Fiber ◽  
Concrete Block ◽  
Cellulose Fibers ◽  
Wood Pulp ◽  
Waste Paper ◽  
Cement Mortars ◽  
Granulated Slag ◽  
Sand Filler ◽  
Ground Limestone

This paper is aimed to investigate the total sand filler replacement by two types of cellulosic fibers (bleached wood pulp - WP and recycled fibers from waste paper - RF) in cement-based mortars. Two different types of cement mortar, one with addition of finely ground limestone and other with powdered granulated slag, were mixed with fibers. The changes in consistency of fresh fiber cement mortars and development of compressive and flexural strength of mortars in dependence on hardening time up to 90 days was studied. The development of compressive and flexural strength with increasing hardening time of cellulose fiber mortars and two binders with different properties confirmed that binder mixtures containing finely ground slag and recycled cellulose fibers achieved higher values of these strength parameters. Also adhesion testing of fiber cement mortars on two substrates (ceramic fitting and aerated concrete block) after 28 days of their application showed better adhesion of cement mortars with finely ground granulated slag on the ceramic fitting surface compared to the mortars containing finely ground limestone. However, any cracks have occurred on both substrates during the maturing of mortars with slag. Based on the above facts, it can be concluded that suitable plaster mixtures for their use in the interior appear the cement recipes with both cellulose fibers (wood pulp and fibers from recycled waste paper) and with finely ground limestone.

Sign in / Sign up

Export Citation Format

Share Document