APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING THE FLEXURAL STRENGTH OF RIGID PAVEMENT
碩士 === 中華大學 === 土木工程學系碩士班 === 88 === ABSTRACT The use of rigid pavement in massive traffic and heavily loaded areas has been proved to have very good effects in engineering performance and maintenance. In this research, 125 sets of concrete beams with a variety of aggregate volume, wa...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2000
|
Online Access: | http://ndltd.ncl.edu.tw/handle/73756606004931982012 |
id |
ndltd-TW-088CHPI0015003 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-088CHPI00150032015-10-13T11:50:51Z http://ndltd.ncl.edu.tw/handle/73756606004931982012 APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING THE FLEXURAL STRENGTH OF RIGID PAVEMENT 類神經網路在剛性道面抗彎強度之應用研究 Yi-Jiuan Chou 周義娟 碩士 中華大學 土木工程學系碩士班 88 ABSTRACT The use of rigid pavement in massive traffic and heavily loaded areas has been proved to have very good effects in engineering performance and maintenance. In this research, 125 sets of concrete beams with a variety of aggregate volume, water-cement ratio, superplasticizer ratio and steel fiber ratio were tested for the data of flexural strength. The objective of this research is to develop an artificial neural network (ANN) learning model for the relationship of steel fiber reinforced concrete (SFRC) and its components. In this work, several different ANN models have been used to investigate the prediction effect of flexural strength. This application shows that artificial neural network can provide an effective way to predict the flexural strength of rigid pavement and it has been proved to be superior to the conventional empirical equations. keywords: artificial neural network, rigid pavement. steel fiber reinforced concrete, flexural strength. Yi-Yu Kuo 郭一羽 2000 學位論文 ; thesis 116 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 中華大學 === 土木工程學系碩士班 === 88 === ABSTRACT
The use of rigid pavement in massive traffic and heavily loaded areas has been proved to have very good effects in engineering performance and maintenance. In this research, 125 sets of concrete beams with a variety of aggregate volume, water-cement ratio, superplasticizer ratio and steel fiber ratio were tested for the data of flexural strength.
The objective of this research is to develop an artificial neural network (ANN) learning model for the relationship of steel fiber reinforced concrete (SFRC) and its components. In this work, several different ANN models have been used to investigate the prediction effect of flexural strength. This application shows that artificial neural network can provide an effective way to predict the flexural strength of rigid pavement and it has been proved to be superior to the conventional empirical equations.
keywords: artificial neural network, rigid pavement. steel fiber reinforced concrete, flexural strength.
|
author2 |
Yi-Yu Kuo |
author_facet |
Yi-Yu Kuo Yi-Jiuan Chou 周義娟 |
author |
Yi-Jiuan Chou 周義娟 |
spellingShingle |
Yi-Jiuan Chou 周義娟 APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING THE FLEXURAL STRENGTH OF RIGID PAVEMENT |
author_sort |
Yi-Jiuan Chou |
title |
APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING THE FLEXURAL STRENGTH OF RIGID PAVEMENT |
title_short |
APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING THE FLEXURAL STRENGTH OF RIGID PAVEMENT |
title_full |
APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING THE FLEXURAL STRENGTH OF RIGID PAVEMENT |
title_fullStr |
APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING THE FLEXURAL STRENGTH OF RIGID PAVEMENT |
title_full_unstemmed |
APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING THE FLEXURAL STRENGTH OF RIGID PAVEMENT |
title_sort |
application of artificial neural network in predicting the flexural strength of rigid pavement |
publishDate |
2000 |
url |
http://ndltd.ncl.edu.tw/handle/73756606004931982012 |
work_keys_str_mv |
AT yijiuanchou applicationofartificialneuralnetworkinpredictingtheflexuralstrengthofrigidpavement AT zhōuyìjuān applicationofartificialneuralnetworkinpredictingtheflexuralstrengthofrigidpavement AT yijiuanchou lèishénjīngwǎnglùzàigāngxìngdàomiànkàngwānqiángdùzhīyīngyòngyánjiū AT zhōuyìjuān lèishénjīngwǎnglùzàigāngxìngdàomiànkàngwānqiángdùzhīyīngyòngyánjiū |
_version_ |
1716849280150405120 |