Assessment of Data-Mining and Some Empirical Methods in Scour Depth Estimation at Briclge Piers
Local scour at . bridge pieds is one of the numeroussafty hazaraels that the eaten their stability. An abundance of such facfors and their complexities, along with a mulfiplicity ofempirical relationships, make the development of an integrated approach for estimation of scour depth very difficult. H...
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| Format: | Article |
| Language: | fas |
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Marvdasht Branch, Islamic Azad University
2017-01-01
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| Series: | مهندسی منابع آب |
| Subjects: | |
| Online Access: | https://wej.marvdasht.iau.ir/article_2114_c266ce8653957cd50784bd889d8fc74d.pdf |
| _version_ | 1797359687184678912 |
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| author | Mohammad Taghi Sattari Ali Rezazadeh Joudi Hadi Arvanaghi |
| author_facet | Mohammad Taghi Sattari Ali Rezazadeh Joudi Hadi Arvanaghi |
| author_sort | Mohammad Taghi Sattari |
| collection | DOAJ |
| description | Local scour at . bridge pieds is one of the numeroussafty hazaraels that the eaten their stability. An abundance of such facfors and their complexities, along with a mulfiplicity ofempirical relationships, make the development of an integrated approach for estimation of scour depth very difficult. However, the presence of novel data-mining approaches such as the artificial nevral networks (ANN) and the M5 Tree Model has facilitated the solution of complicated engineering problems. In this study by using laboratory data and identifying 10 scenarios including different combinations of effective parameters in scour depth, the performance of ANN and M5 tree models have been investigated and results compared with 3 empirical relationships (Melville, Mississippi and HEC-18). The results indicated that the M5 Tree Model via presenting 2 simple if-then rules and may CC=0.95 in comparison with the other ANN and empirical approaches may estimate scour depth with high accuracy. The results ahso indicated that between the 3 used empirical relations, HEC-18, Mississippi and Melville relations presents high accuracy, respecfively. |
| first_indexed | 2024-03-08T15:28:21Z |
| format | Article |
| id | doaj.art-438e2f944b6845b9b72d0df63a4f8701 |
| institution | Directory Open Access Journal |
| issn | 2008-6377 2423-7191 |
| language | fas |
| last_indexed | 2024-03-08T15:28:21Z |
| publishDate | 2017-01-01 |
| publisher | Marvdasht Branch, Islamic Azad University |
| record_format | Article |
| series | مهندسی منابع آب |
| spelling | doaj.art-438e2f944b6845b9b72d0df63a4f87012024-01-10T08:08:08ZfasMarvdasht Branch, Islamic Azad Universityمهندسی منابع آب2008-63772423-71912017-01-0193025362114Assessment of Data-Mining and Some Empirical Methods in Scour Depth Estimation at Briclge PiersMohammad Taghi Sattari0Ali Rezazadeh Joudi1Hadi Arvanaghi2محمدتقی ستاری، عضو هیئت علمی گروه مهندسی آب، دانشکده کشاورزی، دانشگاه تبریزکارشناس ارشد عمران آب، باشگاه پژوهشگران جوان و نخبگان، واحد مراغه، دانشگاه آزاد اسلامی، مراغه، ایران.عضو هیئت علمی گروه مهندسی آب، دانشکده کشاورزی، دانشگاه تبریزLocal scour at . bridge pieds is one of the numeroussafty hazaraels that the eaten their stability. An abundance of such facfors and their complexities, along with a mulfiplicity ofempirical relationships, make the development of an integrated approach for estimation of scour depth very difficult. However, the presence of novel data-mining approaches such as the artificial nevral networks (ANN) and the M5 Tree Model has facilitated the solution of complicated engineering problems. In this study by using laboratory data and identifying 10 scenarios including different combinations of effective parameters in scour depth, the performance of ANN and M5 tree models have been investigated and results compared with 3 empirical relationships (Melville, Mississippi and HEC-18). The results indicated that the M5 Tree Model via presenting 2 simple if-then rules and may CC=0.95 in comparison with the other ANN and empirical approaches may estimate scour depth with high accuracy. The results ahso indicated that between the 3 used empirical relations, HEC-18, Mississippi and Melville relations presents high accuracy, respecfively.https://wej.marvdasht.iau.ir/article_2114_c266ce8653957cd50784bd889d8fc74d.pdflocal scourdata miningm5 model treeartificial neural networksempirical equations |
| spellingShingle | Mohammad Taghi Sattari Ali Rezazadeh Joudi Hadi Arvanaghi Assessment of Data-Mining and Some Empirical Methods in Scour Depth Estimation at Briclge Piers مهندسی منابع آب local scour data mining m5 model tree artificial neural networks empirical equations |
| title | Assessment of Data-Mining and Some Empirical Methods in Scour Depth Estimation at Briclge Piers |
| title_full | Assessment of Data-Mining and Some Empirical Methods in Scour Depth Estimation at Briclge Piers |
| title_fullStr | Assessment of Data-Mining and Some Empirical Methods in Scour Depth Estimation at Briclge Piers |
| title_full_unstemmed | Assessment of Data-Mining and Some Empirical Methods in Scour Depth Estimation at Briclge Piers |
| title_short | Assessment of Data-Mining and Some Empirical Methods in Scour Depth Estimation at Briclge Piers |
| title_sort | assessment of data mining and some empirical methods in scour depth estimation at briclge piers |
| topic | local scour data mining m5 model tree artificial neural networks empirical equations |
| url | https://wej.marvdasht.iau.ir/article_2114_c266ce8653957cd50784bd889d8fc74d.pdf |
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