This article shows the results of research into the damaging effect of high temperature on the structure of fibre-cement boards. Samples of fibre-cement boards were exposed to high temperatures over various lengths of time and then they were investigated under the three-point bending and acoustic emission methods. In this way, the critical temperature and the duration of its influence on the structure of a fibre-cement board were determined. An artificial neural network was used to analyse the results obtained using the acoustic emission method. The investigations showed a marked fall in the number of registered AE events for the tested series of boards exposed to high temperature in comparison with the reference boards. Moreover, in the bo...
The response to fire of concrete structural members depends on the thermal, mechanical, and deformat...
The goal of the research was to analyze the acoustic emission signal recorded during heat treatment....
In this study, an artificial neural network model for compressive strength of self-compacting concre...
This paper presents the results of research aimed at identifying the degree of degradation of fibre-...
Fiber-cement building materials have been used in civil engineering for over one hundred years. Cont...
When exposed to temperatures that are progressively and rapidly raised, large dimension fibre cement...
Modern fiber-cement boards currently used in construction are made of natural raw materials such as ...
This paper investigates the effect of high temperature on two different Self-Compacting (SC) cementi...
During the early age concrete treatment (curing and hardening) the damage process appears i.e., micr...
The paper examines the impact of possible operational factors on strength and frequency parameters g...
The aim of this work is to optimize the acoustic nondestructive method (NDT) Impact-Echo (IE) as a c...
During the course of the study it involved tool steel C105U was used. The steel was austempered at t...
The aim of the present study was to investigate the degradation of the microstructure and mechanical...
Fire response of concrete structural members depends on thermal, mechanical, and deformation propert...
In this study mathematical methods and artificial neural network (ANN) model are used to predict the...
The response to fire of concrete structural members depends on the thermal, mechanical, and deformat...
The goal of the research was to analyze the acoustic emission signal recorded during heat treatment....
In this study, an artificial neural network model for compressive strength of self-compacting concre...
This paper presents the results of research aimed at identifying the degree of degradation of fibre-...
Fiber-cement building materials have been used in civil engineering for over one hundred years. Cont...
When exposed to temperatures that are progressively and rapidly raised, large dimension fibre cement...
Modern fiber-cement boards currently used in construction are made of natural raw materials such as ...
This paper investigates the effect of high temperature on two different Self-Compacting (SC) cementi...
During the early age concrete treatment (curing and hardening) the damage process appears i.e., micr...
The paper examines the impact of possible operational factors on strength and frequency parameters g...
The aim of this work is to optimize the acoustic nondestructive method (NDT) Impact-Echo (IE) as a c...
During the course of the study it involved tool steel C105U was used. The steel was austempered at t...
The aim of the present study was to investigate the degradation of the microstructure and mechanical...
Fire response of concrete structural members depends on thermal, mechanical, and deformation propert...
In this study mathematical methods and artificial neural network (ANN) model are used to predict the...
The response to fire of concrete structural members depends on the thermal, mechanical, and deformat...
The goal of the research was to analyze the acoustic emission signal recorded during heat treatment....
In this study, an artificial neural network model for compressive strength of self-compacting concre...