• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Ma, D. (Ma, D..) | Luo, L. (Luo, L..) | Wang, W. (Wang, W..) | Guo, X. (Guo, X..) | Liu, C. (Liu, C..)

Indexed by:

Scopus

Abstract:

To solve the problem that the relationship between various types of damage and different influencing factors of bridge under earthquake is complicated and difficult to find, the damage situation of the bridge was analyzed combined with bridge pier type, structure type, bearing type, plane line shape, foundation type, intersection angle, fault distance, and peak ground acceleration. The conditional attribute of bridge damage were reduced by using the dominance relation-based rough set approach. The minimum sets of association rules of 374 bridges in Wenchuan earthquake were extracted. Another 20 bridges were selected for testing. Results were compared with indiscernibility relational rough set theory and classification and regression tree algorithm. Results show that for the evaluation system of post-earthquake bridge damage state, compared to the traditional generation rule based on indiscernibility relation rough set theory and classification and regression tree algorithm, the dominance relation-based rough set approach is more accurate, and can be used in the future research of bridge damage discrimination studies and rule extraction. © 2023 Beijing University of Technology. All rights reserved.

Keyword:

dominance-based rough set earthquake damage association rule classification and regression tree decision tree bridge

Author Community:

  • [ 1 ] [Ma D.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Ma D.]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Luo L.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Wang W.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Wang W.]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Guo X.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Guo X.]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing, 100124, China
  • [ 8 ] [Liu C.]School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, 300401, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2023

Issue: 11

Volume: 49

Page: 1167-1179

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

Affiliated Colleges:

Online/Total:408/10581362
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.