Intelligent design of retaining wall structures under dynamic conditions
The investigation of retaining wall structures behavior under dynamic loads is considered as one of important parts for designing such structures. Generally, the performance of these structures is under the influence of the environment conditions and their geometry. The aim of this research is to de...
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Techno Press
2019
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author | Yang, Haiqing Koopialipoor, Mohammadreza Armaghani, Danial Jahed Gordan, Behrouz Khorami, Majid Tahir, M. M. |
author_facet | Yang, Haiqing Koopialipoor, Mohammadreza Armaghani, Danial Jahed Gordan, Behrouz Khorami, Majid Tahir, M. M. |
author_sort | Yang, Haiqing |
collection | ePrints |
description | The investigation of retaining wall structures behavior under dynamic loads is considered as one of important parts for designing such structures. Generally, the performance of these structures is under the influence of the environment conditions and their geometry. The aim of this research is to design retaining wall structures based on smart and optimal systems. The use of accuracy and speed to assess the structures under different conditions is one of the important parts sought by designers. Therefore, optimal and smart systems are able to have better addressing these problems. Using numerical and coding methods, this research investigates the retaining wall structure design under different dynamic conditions. More than 9500 models were constructed and considered for modelling design. These designs include height and thickness of the wall, soil density, rock density, soil friction angle, and peak ground acceleration (PGA) variables. Accordingly, a neural network system was developed to establish an appropriate relationship between data to obtain safety factor (SF) of retaining walls under different seismic conditions. Different parameters were analyzed and the effect of each parameter was assessed separately. According to these analyses, the structure optimization was performed to increase the SF values. The optimal and smart design showed that under different PGA conditions, the structure performance can be appropriately improved while utilization of the initial (or basic) parameters leads to the structure failure. Therefore, by increasing accuracy and speed, smart methods could improve the retaining structure performance in controlling the wall failure. The intelligent design process of this study can be applied to some other civil engineering applications such as slope stability. |
first_indexed | 2024-03-05T20:45:32Z |
format | Article |
id | utm.eprints-88709 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T20:45:32Z |
publishDate | 2019 |
publisher | Techno Press |
record_format | dspace |
spelling | utm.eprints-887092020-12-15T10:39:43Z http://eprints.utm.my/88709/ Intelligent design of retaining wall structures under dynamic conditions Yang, Haiqing Koopialipoor, Mohammadreza Armaghani, Danial Jahed Gordan, Behrouz Khorami, Majid Tahir, M. M. TA Engineering (General). Civil engineering (General) The investigation of retaining wall structures behavior under dynamic loads is considered as one of important parts for designing such structures. Generally, the performance of these structures is under the influence of the environment conditions and their geometry. The aim of this research is to design retaining wall structures based on smart and optimal systems. The use of accuracy and speed to assess the structures under different conditions is one of the important parts sought by designers. Therefore, optimal and smart systems are able to have better addressing these problems. Using numerical and coding methods, this research investigates the retaining wall structure design under different dynamic conditions. More than 9500 models were constructed and considered for modelling design. These designs include height and thickness of the wall, soil density, rock density, soil friction angle, and peak ground acceleration (PGA) variables. Accordingly, a neural network system was developed to establish an appropriate relationship between data to obtain safety factor (SF) of retaining walls under different seismic conditions. Different parameters were analyzed and the effect of each parameter was assessed separately. According to these analyses, the structure optimization was performed to increase the SF values. The optimal and smart design showed that under different PGA conditions, the structure performance can be appropriately improved while utilization of the initial (or basic) parameters leads to the structure failure. Therefore, by increasing accuracy and speed, smart methods could improve the retaining structure performance in controlling the wall failure. The intelligent design process of this study can be applied to some other civil engineering applications such as slope stability. Techno Press 2019 Article PeerReviewed Yang, Haiqing and Koopialipoor, Mohammadreza and Armaghani, Danial Jahed and Gordan, Behrouz and Khorami, Majid and Tahir, M. M. (2019) Intelligent design of retaining wall structures under dynamic conditions. Steel and Composite Structures, 31 (6). pp. 629-640. ISSN 1229-9367 http://dx.doi.org/10.12989/scs.2019.31.6.629 |
spellingShingle | TA Engineering (General). Civil engineering (General) Yang, Haiqing Koopialipoor, Mohammadreza Armaghani, Danial Jahed Gordan, Behrouz Khorami, Majid Tahir, M. M. Intelligent design of retaining wall structures under dynamic conditions |
title | Intelligent design of retaining wall structures under dynamic conditions |
title_full | Intelligent design of retaining wall structures under dynamic conditions |
title_fullStr | Intelligent design of retaining wall structures under dynamic conditions |
title_full_unstemmed | Intelligent design of retaining wall structures under dynamic conditions |
title_short | Intelligent design of retaining wall structures under dynamic conditions |
title_sort | intelligent design of retaining wall structures under dynamic conditions |
topic | TA Engineering (General). Civil engineering (General) |
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