Application of semi-analytical finite element method coupled with infinite element for analysis of asphalt pavement structural response | Zendy

Pengfei Liu | Zendy; Dawei Wang | Zendy; Markus Oeser | Zendy

Open Access

Application of semi-analytical finite element method coupled with infinite element for analysis of asphalt pavement structural response

Author(s) -

Pengfei Liu,

Dawei Wang,

Markus Oeser

Publication year - 2015

Publication title -

journal of traffic and transportation engineering (english edition)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.656

H-Index - 26

eISSN - 2589-0379

pISSN - 2095-7564

DOI - 10.1016/j.jtte.2015.01.005

Subject(s) - finite element method , reliability (semiconductor) , mixed finite element method , extended finite element method , asphalt , finite element limit analysis , structural engineering , coupling (piping) , asphalt pavement , element (criminal law) , smoothed finite element method , computer science , mathematics , boundary knot method , engineering , materials science , mechanical engineering , physics , composite material , boundary element method , power (physics) , quantum mechanics , political science , law

A specific computational program SAFEM was developed based on semi-analytical finite element (FE) method for analysis of asphalt pavement structural responses under static loads. The reliability and efficiency of this FE program was proved by comparison with the general commercial FE software ABAQUS. In order to further reduce the computational time without decrease of the accuracy, the infinite element was added to this program. The results of the finite-infinite element coupling analysis were compared with those of finite element analysis derived from the verified FE program. The study shows that finite-infinite element coupling analysis has higher reliability and efficiency

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research