Application of XGBoost Model for Predicting the Dynamic Response of High-Speed Railway Bridges

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

Abstract

The dynamic response at high speed affects both the vehicles and the structures in a complex manner, especially in the railway infrastructure problems. In this study, we developed a new KD-Railway tool for analyzing the dynamic behavior of high-speed railways by using the finite element method. Then, extreme gradient boosting (XGBoost) was used to predict and better understand the dynamic response of high-speed railway bridges. The model was trained and tested using a dataset including properties and dynamic responses of 10,000 bridges generated by KD-Railway. The input variables were the bridge span length, the flexural rigidity, mass per length of the bridge, the cross-section area of bridge decks, the train speed, the damping ratio, and the HSLM train models. On the other hand, maximum vertical deflection and maximum acceleration were considered as the output parameters. The coefficients of determination (R2) for these two outputs were (0.996, 0.931, 0.977) and (0.987, 0.901, 0.962) for the training, testing, and entire dataset, respectively. The sensitivity analyses were also conducted to evaluate the importance of each input variable on the outcomes.

Original languageEnglish
Title of host publicationCIGOS 2021, Emerging Technologies and Applications for Green Infrastructure - Proceedings of the 6th International Conference on Geotechnics, Civil Engineering and Structures
EditorsCuong Ha-Minh, Anh Minh Tang, Tinh Quoc Bui, Xuan Hong Vu, Dat Vu Khoa Huynh
Place of PublicationSingapore
PublisherSpringer
Pages1765-1773
Number of pages9
ISBN (Electronic)9789811671609
ISBN (Print)9789811671593
DOIs
Publication statusPublished - 28 Oct 2022
Externally publishedYes
Event6th International Conference on Geotechnics, Civil Engineering and Structures, CIGOS 2021 - Hạ Long Bay, Viet Nam
Duration: 28 Oct 202129 Oct 2021

Publication series

NameLecture Notes in Civil Engineering
Volume203
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference6th International Conference on Geotechnics, Civil Engineering and Structures, CIGOS 2021
Country/TerritoryViet Nam
CityHạ Long Bay
Period28/10/2129/10/21

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