Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing Techniques
This study investigates predicting the pullout capacity of small ground anchors using nonlinear computing techniques. The input-output prediction model for the nonlinear Hammerstein-Wiener (NHW) and delay inputs for the adaptive neurofuzzy inference system (DANFIS) are developed and utilized to pred...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2017/2601063 |
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| _version_ | 1832567105741914112 |
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| author | Mosbeh R. Kaloop Jong Wan Hu Emad Elbeltagi |
| author_facet | Mosbeh R. Kaloop Jong Wan Hu Emad Elbeltagi |
| author_sort | Mosbeh R. Kaloop |
| collection | DOAJ |
| description | This study investigates predicting the pullout capacity of small ground anchors using nonlinear computing techniques. The input-output prediction model for the nonlinear Hammerstein-Wiener (NHW) and delay inputs for the adaptive neurofuzzy inference system (DANFIS) are developed and utilized to predict the pullout capacity. The results of the developed models are compared with previous studies that used artificial neural networks and least square support vector machine techniques for the same case study. The in situ data collection and statistical performances are used to evaluate the models performance. Results show that the developed models enhance the precision of predicting the pullout capacity when compared with previous studies. Also, the DANFIS model performance is proven to be better than other models used to detect the pullout capacity of ground anchors. |
| format | Article |
| id | doaj-art-6fba59d1d30c455497bc0deaca4d3b88 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-6fba59d1d30c455497bc0deaca4d3b882025-02-03T01:02:21ZengWileyShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/26010632601063Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing TechniquesMosbeh R. Kaloop0Jong Wan Hu1Emad Elbeltagi2Department of Civil and Environmental Engineering, Incheon National University, Incheon, Republic of KoreaDepartment of Civil and Environmental Engineering, Incheon National University, Incheon, Republic of KoreaDepartment of Structural Engineering, Mansoura University, Mansoura, EgyptThis study investigates predicting the pullout capacity of small ground anchors using nonlinear computing techniques. The input-output prediction model for the nonlinear Hammerstein-Wiener (NHW) and delay inputs for the adaptive neurofuzzy inference system (DANFIS) are developed and utilized to predict the pullout capacity. The results of the developed models are compared with previous studies that used artificial neural networks and least square support vector machine techniques for the same case study. The in situ data collection and statistical performances are used to evaluate the models performance. Results show that the developed models enhance the precision of predicting the pullout capacity when compared with previous studies. Also, the DANFIS model performance is proven to be better than other models used to detect the pullout capacity of ground anchors.http://dx.doi.org/10.1155/2017/2601063 |
| spellingShingle | Mosbeh R. Kaloop Jong Wan Hu Emad Elbeltagi Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing Techniques Shock and Vibration |
| title | Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing Techniques |
| title_full | Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing Techniques |
| title_fullStr | Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing Techniques |
| title_full_unstemmed | Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing Techniques |
| title_short | Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing Techniques |
| title_sort | predicting the pullout capacity of small ground anchors using nonlinear integrated computing techniques |
| url | http://dx.doi.org/10.1155/2017/2601063 |
| work_keys_str_mv | AT mosbehrkaloop predictingthepulloutcapacityofsmallgroundanchorsusingnonlinearintegratedcomputingtechniques AT jongwanhu predictingthepulloutcapacityofsmallgroundanchorsusingnonlinearintegratedcomputingtechniques AT emadelbeltagi predictingthepulloutcapacityofsmallgroundanchorsusingnonlinearintegratedcomputingtechniques |