Method of bridge structural analysis based on bridge information modeling

Rucheng Xiao, Yu Lian, Bin Sun, Xinwei Zhao, Zhao Liu, Pingbo Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Aiming at releasing the potential of BrIM model for improving the efficiency of bridge design and structural analysis, this paper analyzed the combined parametric method of BrIM models and built up structure properties for FEM, thereby established a three-class modeling frame and a new method of bridge analysis based on BrIM. To overcome the gap between BrIM and FEM in bridge structural analysis, the information of bridge structures and special analysis characteristics are set up to establish the reservoir of bridge structure analysis. The mesh controls of the bridge structural information is standardized and preset. The processing generates the corresponding switch file which file type is compatible with a variety of FEM analysis software tools. The seamless transition from BrIM to FEM greatly accelerated the design and analysis of bridges. The smooth parameter flow from the BrIM to FEM is also formed for quick information modification and mechanical analysis of bridge structures.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2017
Subtitle of host publicationSmart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017
PublisherAmerican Society of Civil Engineers (ASCE)
Pages92-100
Number of pages9
ISBN (Electronic)9780784480823, 9780784480847
StatePublished - 2017
Event2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017 - Seattle, United States
Duration: Jun 25 2017Jun 27 2017

Other

Other2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017
CountryUnited States
CitySeattle
Period6/25/176/27/17

Fingerprint

Structural analysis
Finite element method
Switches
Processing

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

Cite this

Xiao, R., Lian, Y., Sun, B., Zhao, X., Liu, Z., & Tang, P. (2017). Method of bridge structural analysis based on bridge information modeling. In Computing in Civil Engineering 2017: Smart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017 (pp. 92-100). American Society of Civil Engineers (ASCE).

Method of bridge structural analysis based on bridge information modeling. / Xiao, Rucheng; Lian, Yu; Sun, Bin; Zhao, Xinwei; Liu, Zhao; Tang, Pingbo.

Computing in Civil Engineering 2017: Smart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017. American Society of Civil Engineers (ASCE), 2017. p. 92-100.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xiao, R, Lian, Y, Sun, B, Zhao, X, Liu, Z & Tang, P 2017, Method of bridge structural analysis based on bridge information modeling. in Computing in Civil Engineering 2017: Smart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017. American Society of Civil Engineers (ASCE), pp. 92-100, 2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017, Seattle, United States, 6/25/17.
Xiao R, Lian Y, Sun B, Zhao X, Liu Z, Tang P. Method of bridge structural analysis based on bridge information modeling. In Computing in Civil Engineering 2017: Smart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017. American Society of Civil Engineers (ASCE). 2017. p. 92-100
Xiao, Rucheng ; Lian, Yu ; Sun, Bin ; Zhao, Xinwei ; Liu, Zhao ; Tang, Pingbo. / Method of bridge structural analysis based on bridge information modeling. Computing in Civil Engineering 2017: Smart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017. American Society of Civil Engineers (ASCE), 2017. pp. 92-100
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