Application of Random Forest Algorithm in Estimating Dynamic Mechanical Behaviors of Reinforced Concrete Column Members
In this paper, an innovative method is put forward for estimating the dynamic mechanical behaviors of reinforced concrete (RC) column members by applying the random forest algorithm. Firstly, the development of dynamic modified coefficient (<i>DMC</i>) predictive models and the realizati...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/6/2546 |
| _version_ | 1827307156328677376 |
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| author | Rou-Han Li Mao-Yuan Li Xiang-Yang Zhu Xiang-Wei Zeng |
| author_facet | Rou-Han Li Mao-Yuan Li Xiang-Yang Zhu Xiang-Wei Zeng |
| author_sort | Rou-Han Li |
| collection | DOAJ |
| description | In this paper, an innovative method is put forward for estimating the dynamic mechanical behaviors of reinforced concrete (RC) column members by applying the random forest algorithm. Firstly, the development of dynamic modified coefficient (<i>DMC</i>) predictive models and the realization of the proposed method were elaborated. Then, due to the lack of dynamic loading tests on RC column members, a numerical model of RC columns considering the dynamic modification on flexural, shear and bond-slip behaviors was developed on the OpenSees platform, and the model accuracy and the effectiveness were verified with the available test results. Moreover, by comparing the simulated results of the hysteretic curve using numerical models with different complexities, the influences of dynamic modification and the deformation sub-element were investigated. Furthermore, a numerical experiment database was established to obtain the training data for developing the <i>DMC</i> predictive models of critical mechanical behavior parameters, including the yielding bearing capacity, ultimate bearing capacity and displacement ductility. Finally, the results of feature importance for different input parameters were studied, and the model accuracy was evaluated using the test set and available experimental data. It was revealed that the predictive models developed using the random forest algorithm can be employed to reliably estimate the dynamic mechanical behaviors of RC column members. |
| first_indexed | 2024-04-24T18:34:27Z |
| format | Article |
| id | doaj.art-66eafca8b5434cf591ae9e383c9c38e8 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-24T18:34:27Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-66eafca8b5434cf591ae9e383c9c38e82024-03-27T13:20:03ZengMDPI AGApplied Sciences2076-34172024-03-01146254610.3390/app14062546Application of Random Forest Algorithm in Estimating Dynamic Mechanical Behaviors of Reinforced Concrete Column MembersRou-Han Li0Mao-Yuan Li1Xiang-Yang Zhu2Xiang-Wei Zeng3Department of Civil Engineering, College of Transportation Engineering, Dalian Maritime University, Dalian 116026, ChinaDepartment of Civil Engineering, College of Transportation Engineering, Dalian Maritime University, Dalian 116026, ChinaDepartment of Civil Engineering, College of Transportation Engineering, Dalian Maritime University, Dalian 116026, ChinaDepartment of Civil Engineering, College of Transportation Engineering, Dalian Maritime University, Dalian 116026, ChinaIn this paper, an innovative method is put forward for estimating the dynamic mechanical behaviors of reinforced concrete (RC) column members by applying the random forest algorithm. Firstly, the development of dynamic modified coefficient (<i>DMC</i>) predictive models and the realization of the proposed method were elaborated. Then, due to the lack of dynamic loading tests on RC column members, a numerical model of RC columns considering the dynamic modification on flexural, shear and bond-slip behaviors was developed on the OpenSees platform, and the model accuracy and the effectiveness were verified with the available test results. Moreover, by comparing the simulated results of the hysteretic curve using numerical models with different complexities, the influences of dynamic modification and the deformation sub-element were investigated. Furthermore, a numerical experiment database was established to obtain the training data for developing the <i>DMC</i> predictive models of critical mechanical behavior parameters, including the yielding bearing capacity, ultimate bearing capacity and displacement ductility. Finally, the results of feature importance for different input parameters were studied, and the model accuracy was evaluated using the test set and available experimental data. It was revealed that the predictive models developed using the random forest algorithm can be employed to reliably estimate the dynamic mechanical behaviors of RC column members.https://www.mdpi.com/2076-3417/14/6/2546dynamic mechanical behaviorreinforced concrete columnrandom forest algorithmdynamic modified coefficientpredictive model |
| spellingShingle | Rou-Han Li Mao-Yuan Li Xiang-Yang Zhu Xiang-Wei Zeng Application of Random Forest Algorithm in Estimating Dynamic Mechanical Behaviors of Reinforced Concrete Column Members Applied Sciences dynamic mechanical behavior reinforced concrete column random forest algorithm dynamic modified coefficient predictive model |
| title | Application of Random Forest Algorithm in Estimating Dynamic Mechanical Behaviors of Reinforced Concrete Column Members |
| title_full | Application of Random Forest Algorithm in Estimating Dynamic Mechanical Behaviors of Reinforced Concrete Column Members |
| title_fullStr | Application of Random Forest Algorithm in Estimating Dynamic Mechanical Behaviors of Reinforced Concrete Column Members |
| title_full_unstemmed | Application of Random Forest Algorithm in Estimating Dynamic Mechanical Behaviors of Reinforced Concrete Column Members |
| title_short | Application of Random Forest Algorithm in Estimating Dynamic Mechanical Behaviors of Reinforced Concrete Column Members |
| title_sort | application of random forest algorithm in estimating dynamic mechanical behaviors of reinforced concrete column members |
| topic | dynamic mechanical behavior reinforced concrete column random forest algorithm dynamic modified coefficient predictive model |
| url | https://www.mdpi.com/2076-3417/14/6/2546 |
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