Building Vibration Prediction Induced by Moving Train with Random Forest
This paper adopts a combination of numerical simulation, field test, and Random Forest to predict the building vibration induced by moving train. First, a three-dimensional finite element model based on train-track-site soil-building system is established, and the track dynamic reaction force calcul...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/6642071 |
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| _version_ | 1832550105880723456 |
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| author | Jinbao Yao Lei Fang |
| author_facet | Jinbao Yao Lei Fang |
| author_sort | Jinbao Yao |
| collection | DOAJ |
| description | This paper adopts a combination of numerical simulation, field test, and Random Forest to predict the building vibration induced by moving train. First, a three-dimensional finite element model based on train-track-site soil-building system is established, and the track dynamic reaction force calculated by the train-track model is applied as an excitation to the site. On the soil-building model, this paper analyzes the influence of train speed, axle load, site soil characteristics, and distance from the building on the vibration of the building caused by the train. With the Random Forest, these different influencing factors are used as inputs, and the building vibration is the output. Thus, the prediction model of the building vibration caused by moving train is established. The prediction accuracy can be tested with the measured data. The results show that this prediction method can provide a higher prediction accuracy with the maximum error (less than 6.41%) and the average error (less than 2.29%). This method overcomes the shortcomings of traditional prediction methods and improves the accuracy of vibration prediction. |
| format | Article |
| id | doaj-art-e9fd0480931c46b094dd24cea7749763 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-e9fd0480931c46b094dd24cea77497632025-02-03T06:07:40ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/66420716642071Building Vibration Prediction Induced by Moving Train with Random ForestJinbao Yao0Lei Fang1School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaThis paper adopts a combination of numerical simulation, field test, and Random Forest to predict the building vibration induced by moving train. First, a three-dimensional finite element model based on train-track-site soil-building system is established, and the track dynamic reaction force calculated by the train-track model is applied as an excitation to the site. On the soil-building model, this paper analyzes the influence of train speed, axle load, site soil characteristics, and distance from the building on the vibration of the building caused by the train. With the Random Forest, these different influencing factors are used as inputs, and the building vibration is the output. Thus, the prediction model of the building vibration caused by moving train is established. The prediction accuracy can be tested with the measured data. The results show that this prediction method can provide a higher prediction accuracy with the maximum error (less than 6.41%) and the average error (less than 2.29%). This method overcomes the shortcomings of traditional prediction methods and improves the accuracy of vibration prediction.http://dx.doi.org/10.1155/2021/6642071 |
| spellingShingle | Jinbao Yao Lei Fang Building Vibration Prediction Induced by Moving Train with Random Forest Journal of Advanced Transportation |
| title | Building Vibration Prediction Induced by Moving Train with Random Forest |
| title_full | Building Vibration Prediction Induced by Moving Train with Random Forest |
| title_fullStr | Building Vibration Prediction Induced by Moving Train with Random Forest |
| title_full_unstemmed | Building Vibration Prediction Induced by Moving Train with Random Forest |
| title_short | Building Vibration Prediction Induced by Moving Train with Random Forest |
| title_sort | building vibration prediction induced by moving train with random forest |
| url | http://dx.doi.org/10.1155/2021/6642071 |
| work_keys_str_mv | AT jinbaoyao buildingvibrationpredictioninducedbymovingtrainwithrandomforest AT leifang buildingvibrationpredictioninducedbymovingtrainwithrandomforest |