CALL US

+86 17838360708

Application of Neural Network for Concrete Carbonation

Application of Neural Network for Concrete Carbonation

Application of Neural Network for Concrete Carbonation ...

Application of Neural Network for Concrete Carbonation Depth Prediction Daming Luo, Ditao Niu, and Zhenping Dong School of Civil Engineering, Xi’an University of

get price

Application of Neural Network for Concrete Carbonation ...

Concrete carbonation is one of the most significant causes of deterioration of reinforced concrete structures in atmospheric environment. However, current models

get price

Application of Neural Network for Concrete Carbonation ...

The prediction of concrete carbonation by neural networks has been of interest for some time [26][27][28] [29] [30][31][32][33], but no one has yet estimated the

get price

Neural Network Modeling of Concrete Carbonation

Jun 01, 2001  Due two these advantages of neural networks, a new model of concrete carbonation (NNCC) have been developed to show the appropriateness of the neural

get price

Application of Neural Network for Concrete Carbonation ...

Application of Neural Network for Concrete Carbonation Depth Prediction . By Daming Luo, Ditao Niu and Zhenping Dong. Cite . BibTex; Full citation; Publisher: 'Purdue

get price

Analysis of carbonation behavior in concrete using neural ...

Jan 01, 2010  The conclusions on the analysis technique for carbonation behavior in concrete using neural network algorithm and carbonation modeling are as follows. 1) CO 2

get price

Neural network model for predicting the carbonation depth ...

This paper introduces an artificial neural network model for predicting the carbonation depth of slag concrete. A database was selected that consists of several

get price

Optimized neural network based carbonation prediction model

Keywords: concrete carbonation, carbonation prediction, modelling, neural network 1. Introduction Carbonation of concrete is one of the major causes of

get price

[PDF] Optimized neural network based carbonation ...

Concrete carbonation is one of the major causes of steel corrosion in r ei forced concrete structure that can lead to shortened service life. Several carbonation

get price

CaPrM: Carbonation prediction model for reinforced ...

Dec 15, 2015  Nevertheless, in concrete research only neural network is commonly used to model nonlinear regression problems, for instance, chloride penetration in concrete

get price

Artificial neural network analysis of concrete carbonation ...

Oct 24, 2010  Abstract: Two artificial neural networks (ANN), backpropagation neural network (BPNN) and the radial basis function neural network (RBFNN), are proposed to predict the carbonation depth of stressed concrete. In order to generate the training and testing data for the ANNs, an accelerated carbonation experiment was carried out for stressed concrete specimens.

get price

Application of Neural Network for Concrete Carbonation ...

Application of Neural Network for Concrete Carbonation Depth Prediction . By Daming Luo, Ditao Niu and Zhenping Dong. Cite . BibTex; Full citation; Publisher: 'Purdue University Press' Year: 2014. DOI identifier: 10.5703/1288284315384. OAI identifier: Provided by: MUCC ...

get price

Neural Network Modeling of Concrete Carbonation

Jun 01, 2001  Due two these advantages of neural networks, a new model of concrete carbonation (NNCC) have been developed to show the appropriateness of the neural networks in civil engineering fields especially in advanced concrete technology, together with its usage as a new prediction model instead of conventional fitted type models.

get price

[PDF] Optimized neural network based carbonation ...

Concrete carbonation is one of the major causes of steel corrosion in r ei forced concrete structure that can lead to shortened service life. Several carbonation prediction models including mathe matical and neural network ar e available. The mathematical models are simplified and do not take all influential param ete s of concrete materials into consideration.

get price

Optimized neural network based carbonation prediction

Keywords: concrete carbonation, carbonation prediction, modelling, neural network 1. Introduction Carbonation of concrete is one of the major causes of deterioration in reinforced concrete structures [1, 2]. It is a natural physicochemical process caused by the penetration of carbon

get price

The Forecast of Carbonation Depth of Concrete Based on RBF ...

Dec 22, 2008  By analyzing the causes and influencing factors of carbonation of concrete, the RBF neural network model for predicting carbonation depth of concrete is founded. And actual data is analyzed through an example and results are compared with the BP network model. The testing results show that RBF network model for predicting carbonation depth of concrete can become a new

get price

Evaluation of carbonation progress using AIJ model, FEM ...

A potential solution is the application of an artificial neural network algorithm, which simulates the human nervous system, to evaluate concrete carbonation. In this study, the possibility of applying machine learning to predict concrete carbonation behavior is evaluated.

get price

Investigation of the parameters influencing progress of ...

Carbonation is a deleterious concrete durability problem which may alter concrete microstruc-ture and yield initiation of corrosion in reinforcing steel bars. Previous studies focused on the use of Artificial Neural Networks (ANN) for the prediction of concrete carbonation depth and

get price

Carbonation of Concrete Research Papers - Academia

Concrete carbonation is one of the major causes of steel corrosion in reinforced concrete structure that can lead to shortened service life. Several carbonation prediction models including mathematical and neural network are available.

get price

Download [PDF] Applications Of Artificial Neural Networks

Applications Of Artificial Neural Networks. Download Applications Of Artificial Neural Networks PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applications Of Artificial Neural Networks book now. This site is like a library, Use search box in the widget to get ebook that you want.

get price

Artificial Neural Networks for Engineering Applications

Mar 15, 2019  Artificial Neural Networks for Engineering Applications. Download and Read online Artificial Neural Networks for Engineering Applications, ebooks in PDF, epub, Tuebl Mobi, Kindle Book.Get Free Artificial Neural Networks For Engineering Applications Textbook and unlimited access to our library by created an account. Fast Download speed and ads Free!

get price

Prediction of Concrete Strength Using Support Vector ...

Predicting Carbonation Depth of Prestressed Concrete under Different Stress States Using Artificaial Neural Network. Advances in Artificial Neural Systems, Volume 2009, Article ID 193139,. DOI: 10.1155/2009/193139

get price

Woubishet Z Taffese Aalto University - Academia

Concrete carbonation is one of the major causes of steel corrosion in reinforced concrete structure that can lead to shortened service life. Several carbonation prediction models including mathematical and neural network are available.

get price

PredictingCarbonationDepthofPrestressedConcreteunder ...

concrete carbonation, on account of the complexity of carbonation process. On the other hand, when the prior knowledge of the behavior of concrete carbonation is not available, the conventional model cannot be employed either. In such situations, artificial neural network (ANN) is a viable solution and can effectively be used to assess the ...

get price

PowerPoint Presentation

Application of neural network for concrete carbonation depth prediction Daming Luo School of Civil Engineering an University of Architecture and July 24.2014 . 1/1 . Nanoparticleg Nanom C.S*-I Durability ation . Title: PowerPoint Presentation Author: Reviewer2 Created Date:

get price

NEURAL NETWORK MODELING OF CONCRETE CARBONATION

Due to these advantages of neural networks, a new model of concrete carbonation has been developed to show the appropriateness of the neural networks in civil engineering fields, especially in advanced concrete technology, together with its usage as a new prediction model instead of conventional fitted type models.

get price

Calis Application of an artificial neural network for ...

Lee S, Lee C (2014). Prediction of shear strength of FRP-reinforced concrete flexural members without stirrups using artificial neural networks. Engineering Structures, 61, 99–112. Lenard MJ, Alam P, Madey GR (1995). The Application of Neural Networks and a Qualitative Response Model to the Auditor’s Going Concern Uncertainty Decision.

get price

Application of Neural Networks for Estimation of Concrete ...

Artificial neural network techniques~hereafter, neural networks! open new possibilities in the classification and generalization of available experimental results to estimate con-crete strength from the mix components. This study presents, for the first time, the application of the neural networks for estimating the compressive strength of con-

get price

A neural network method for analysing concrete durability

A neural network method for analysing concrete ... and accelerated carbonation owing to the higher carbon dioxide concentration on highways and in towns. The methodology of data gathering from surveys, diagnosis and ... proach in many applications. Neural networks are very effective in fault diagnosis for a number of reasons.

get price

The Forecast of Carbonation Depth of Concrete Based on RBF ...

Dec 22, 2008  Abstract: By analyzing the causes and influencing factors of carbonation of concrete, the RBF neural network model for predicting carbonation depth of concrete is founded. And actual data is analyzed through an example and results are compared with the BP network model. The testing results show that RBF network model for predicting carbonation depth of concrete can become a

get price

Prediction of Concrete Carbonation Depth using Decision

neural network is widely used in this research area, for instance, chloride penetration in concrete [5] and hygrothermal forecasting in thick-walled concrete [6]. This paper presents a machine learning method, namely a decision tree, for prediction of concrete carbonation depth. 2 Data understanding and preparation . 2.1 Data understanding

get price

PredictingCarbonationDepthofPrestressedConcreteunder ...

concrete carbonation, on account of the complexity of carbonation process. On the other hand, when the prior knowledge of the behavior of concrete carbonation is not available, the conventional model cannot be employed either. In such situations, artificial neural network (ANN) is a viable solution and can effectively be used to assess the ...

get price

Prediction of Concrete Strength Using Support Vector ...

Predicting Carbonation Depth of Prestressed Concrete under Different Stress States Using Artificaial Neural Network. Advances in Artificial Neural Systems, Volume 2009, Article ID 193139,. DOI: 10.1155/2009/193139

get price

Download [PDF] Applications Of Artificial Neural Networks

Applications Of Artificial Neural Networks. Download Applications Of Artificial Neural Networks PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applications Of Artificial Neural Networks book now. This site is like a library, Use search box in the widget to get ebook that you want.

get price

Woubishet Z Taffese Aalto University - Academia

Concrete carbonation is one of the major causes of steel corrosion in reinforced concrete structure that can lead to shortened service life. Several carbonation prediction models including mathematical and neural network are available.

get price

Damage assessment of prestressed concrete beams using ...

An artificial neural network (ANN) based approach is presented for the assessment of damage in prestressed concrete beams from natural frequency measurements. The details of an experimental programme suitably designed and carried out to induce the desired extents of damages in the prestressed concrete beams and generate the training and test data for the ANN are presented.

get price

Artificial neural network analysis of concrete carbonation ...

Two artificial neural networks (ANN), backpropagation neural network (BPNN) and the radial basis function neural network (RBFNN), are proposed to predict the carbonation depth of stressed concrete. In order to generate the training and testing data for the ANNs, an accelerated carbonation experiment was carried out for stressed concrete specimens.

get price

Prediction of Compressive Strength of Self-Compacting ...

"Optimizing a concrete mix design incorporating natural pozzolans using artificial neural networks." Computer Concrete 10, no. 6 (2012): 557-573. Kellouche, Yasmina, Bakhta Boukhatem, Mohamed Ghrici, and Arezki Tagnit-Hamou. “Exploring the Major Factors Affecting Fly-Ash Concrete Carbonation Using Artificial Neural Network.”

get price