Design Of Normal Concrete Mixes Using Neural Network Model
The most important factor in determining the quality of concrete is its strength. In order to achieve the required strength, a right proportion of materials in concrete such as water, cement, sand and course aggregate, need to be identified. The present mix design methods such as AC1 and DoE method...
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2000
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my-uum-etd.1702022-06-07T04:05:16Z Design Of Normal Concrete Mixes Using Neural Network Model 2000 Mohd Dzulkonnain, Abu Bakar Sekolah Siswazah Sekolah Siswazah TA Engineering (General). Civil engineering (General) The most important factor in determining the quality of concrete is its strength. In order to achieve the required strength, a right proportion of materials in concrete such as water, cement, sand and course aggregate, need to be identified. The present mix design methods such as AC1 and DoE methods, which involve numerous calculations, design charts and table look-up are seem to be tedious and lengthy. The purpose of this project is to develop a simpler and generalized concrete mix design method using neural network techniques. A procedure for developing work models using back propagation networks is presented, and a number of issues related to data preparation are described to facilitate the development of efficient application. The findings of this project show that the application of neural network is capable of providing solutions to the civil engineering problem, particularly in designing the concrete mixes. 2000 Thesis https://etd.uum.edu.my/170/ https://etd.uum.edu.my/170/1/MOHD_DZULKONNAIN_BIN_ABU_BAKAR__-_Design_of_normal_concrete_mixes_using_neural_network_model.pdf text eng public https://etd.uum.edu.my/170/2/1.MOHD_DZULKONNAIN_BIN_ABU_BAKAR__-_Design_of_normal_concrete_mixes_using_neural_network_model.pdf text eng public masters masters Universiti Utara Malaysia |
| institution |
Universiti Utara Malaysia |
| collection |
UUM ETD |
| language |
eng eng |
| topic |
TA Engineering (General) Civil engineering (General) |
| spellingShingle |
TA Engineering (General) Civil engineering (General) Mohd Dzulkonnain, Abu Bakar Design Of Normal Concrete Mixes Using Neural Network Model |
| description |
The most important factor in determining the quality of concrete is its strength. In order to achieve the required strength, a right proportion of materials in concrete
such as water, cement, sand and course aggregate, need to be identified. The present mix design methods such as AC1 and DoE methods, which involve numerous calculations, design charts and table look-up are seem to be tedious and
lengthy. The purpose of this project is to develop a simpler and generalized concrete mix design method using neural network techniques. A procedure for developing work models using back propagation networks is presented,
and a number of issues related to data preparation are described to facilitate the development of efficient application. The findings of this project show that the
application of neural network is capable of providing solutions to the civil engineering problem, particularly in designing the concrete mixes. |
| format |
Thesis |
| qualification_name |
masters |
| qualification_level |
Master's degree |
| author |
Mohd Dzulkonnain, Abu Bakar |
| author_facet |
Mohd Dzulkonnain, Abu Bakar |
| author_sort |
Mohd Dzulkonnain, Abu Bakar |
| title |
Design Of Normal Concrete Mixes Using Neural Network Model |
| title_short |
Design Of Normal Concrete Mixes Using Neural Network Model |
| title_full |
Design Of Normal Concrete Mixes Using Neural Network Model |
| title_fullStr |
Design Of Normal Concrete Mixes Using Neural Network Model |
| title_full_unstemmed |
Design Of Normal Concrete Mixes Using Neural Network Model |
| title_sort |
design of normal concrete mixes using neural network model |
| granting_institution |
Universiti Utara Malaysia |
| granting_department |
Sekolah Siswazah |
| publishDate |
2000 |
| url |
https://etd.uum.edu.my/170/1/MOHD_DZULKONNAIN_BIN_ABU_BAKAR__-_Design_of_normal_concrete_mixes_using_neural_network_model.pdf https://etd.uum.edu.my/170/2/1.MOHD_DZULKONNAIN_BIN_ABU_BAKAR__-_Design_of_normal_concrete_mixes_using_neural_network_model.pdf |
| _version_ |
1747826852136747008 |