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008 191015t20192019my a|||fram|| 000 0 eng d
020 _aTHE0008131(Local)
_qhardback
040 _aUMP
_beng
_cUMP
_erda
090 _aFKASA .T68 2019 r Bc.
100 1 _aTou, Shu Xian,
_eauthor.
245 1 0 _aFinite element analysis of 10 span beam bridge by using ansys /
_cTou Shu Xian
264 1 _aKuantan, Pahang :
_bUMP,
_c2019
264 4 _c© 2019
300 _axiv, 68 pages :
_billustrations ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Civil Engineering and Earth Resources
502 _aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2019
504 _aIncludes bibliographical references
520 3 _aBeam bridges are one of the most familiar used types of bridge as structurally they are simple to construct and maintain. Hence, they are preferred over other types of bridges when it comes to providing connectivity within short distance. In construction, engineer can link a number of spans of beam bridge together to create a longer bridge. In this study, the beam bridge was analyzed by using manual calculation and also design in ANSYS software. There are numerous methods can be used to analyses the behavior of the beam bridges. Nevertheless, among all these methods, finite element method and probabilistic method will be a very effective method used to obtain the strength and behavior of the beam bridges. The main purpose of this analysis is to determine the behavior of the beam bridge by using ANSYS software. The concrete grade of the section is HA35 and the reinforced steel used in the section is EHE S500. The values for the input variables are generated randomly by using Monte Carlo Simulation or as prescribed samples using Response Surface Methods. A total number of 1000 of simulations had been made to make sure the analysis is more precise and accurate. Through the stimulation, this study can prove that the condition of the beam bridge under the existence of randomness and uncertainty can be analyzed by apply probabilistic finite element analysis using ANSYS.
610 2 0 _aFaculty of Civil Engineering and Earth Resources
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
942 _2lcc
_cPSM