scholarly journals Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines

Sensors ◽  
2016 ◽  
Vol 16 (4) ◽  
pp. 447 ◽  
Author(s):  
Jing-Kui Zhang ◽  
Weizhong Yan ◽  
De-Mi Cui
Keyword(s):  
Condition Assessment ◽  
Extreme Learning Machines ◽  
Impact Echo ◽  
Learning Machines ◽  
Concrete Condition ◽  
Impact Echo Method

Determination of the Influence of Carbonation of Concrete and Corrosion of Steel on Reinforced Concrete Condition

2015 ◽  
Vol 1124 ◽  
pp. 225-230 ◽  
Author(s):  
Kristýna Timcakova ◽  
Daniela Štefková ◽  
Zdeněk Chobola
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structures ◽  
Poor Quality ◽  
Protective Properties ◽  
Impact Echo ◽  
Concrete Condition ◽  
Almost All ◽  
Corrosion Of Steel ◽  
Impact Echo Method

Almost all reinforced concrete structures which are exposed to weather effects are threatened by corrosion. The corrosion of steel elements in structures has an influence on lifetime these constructions and adversely affects their properties. However, the steel in concrete structures is protected against corrosion due to the properties of concrete such as high pH or impermeability, but if the concrete is of poor quality and his protective properties are insufficient the corrosion can occur. A problem causes the action of carbon dioxide which has the effect of lowering the pH below the critical value and thereby accelerating the corrosion.Non-destructive methods such as Impact-echo method offer the possibility of easy and quickly detection of initial damage of structure and thus can prevent the occurrence of permanent damage to the whole construction.This article describes the development of corrosion which is caused by carbonation of the concrete and supported by action of chlorides by using Impact-echo method. The paper presents results obtained on the reinforced concrete samples with one steel rod passing through the center. After carbonation concrete the samples were exposed accelerated controlled degradation in aqueous NaCl solution for 4 months.

Estimation of Impact-Echo Method for the Assessment of Long-Term Frost Resistance of Ceramic Tiles

2014 ◽  
Vol 1000 ◽  
pp. 285-288 ◽  
Author(s):  
Michal Matysík ◽  
Iveta Plšková ◽  
Zdeněk Chobola
Keyword(s):  
Frost Resistance ◽  
Surface Condition ◽  
Acoustic Method ◽  
Ceramic Tiles ◽  
Impact Echo ◽  
Thaw Cycle ◽  
Freeze Thaw Cycle ◽  
Confocal Scanning ◽  
The Impact ◽  
Impact Echo Method

The aim of this paper is to evaluate the possibility of using the Impact-echo method for assessment of extremely long period of frost resistance of ceramic tiles. Sets of ceramic tiles of the Ia class to EN 14 411 B standard made by manufacture RACOs have been analyzed. The ceramic tiles under investigation have been subjected to 500 freeze-thaw-cycle based degradation in compliance with the relevant EN ISO 10545-12 standard. To verify the correctness of the Impact-echo method results, additional physical properties of the ceramic tiles under test have been measured. To analyze the specimen surface condition, we also used Olympus LEXT 3100 confocal scanning microscope. It has been proved that the acoustic method Impact-echo is a sensitive indicator of the structure condition and can be applied to the ceramic cladding element frost resistance and service life prediction assessment.

Extreme learning machines’ ensemble selection with GRASP

2015 ◽  
Vol 43 (2) ◽  
pp. 439-459 ◽  
Author(s):  
Ting Zhang ◽  
Qun Dai ◽  
Zhongchen Ma
Keyword(s):  
Extreme Learning Machines ◽  
Learning Machines ◽  
Ensemble Selection

scholarly journals Opportunities in Quantum Reservoir Computing and Extreme Learning Machines

2021 ◽  
pp. 2100027
Author(s):  
Pere Mujal ◽  
Rodrigo Martínez‐Peña ◽  
Johannes Nokkala ◽  
Jorge García‐Beni ◽  
Gian Luca Giorgi ◽  
...  
Keyword(s):  
Reservoir Computing ◽  
Extreme Learning Machines ◽  
Learning Machines
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