02363ntm a2200289 a 4500 vtls000099590 KUKTEM 20251117113333.0 170427t2017 my da f a m 000 0 eng d THE0000681(Local) 201905170945 nazirah 201712061218 huda 201704271152 fateeha UMP FKASA .S53 2017 r Bc. Muhammad Shafiq Noor Zammizi Finite element analysis of warehouse steel structure using ansys / Muhammad Shafiq Noor Zammizi Kuantan, Pahang : UMP, 2017 xvii, 109 p. : ill. (some col.) ; 30 cm. + 1 CD ROM Faculty of Civil Engineering and Earth Resources Project Paper (Bachelors of Civil Engineering (Hons.)) -- Universiti Malaysia Pahang – 2017 Bibliography : p. 77 Frame is one of the important elements of this structure. Unfit or improper design can lead to the failure of a structure. The warehouse steel frame was analyzed by manual calculation and also design in ANSYS software. There are several methods can be used to analyses the behavior of steel warehouse frame. However, among all these methods, finite element method and probabilistic method will be a very effective method to obtain the strength and behavior of steel structure. This analysis is to determine the behavior of frame design for the warehouse structure. This research will mainly focus on the steel frame of warehouse structure. The yield strength of steel jacket that used is 500 N/𝑚𝑚2 which is the strongest steel. The value for the input variables are generated randomly by using Monte Carlo Simulation or as prescribed samples using Response Surface Methods. 1000 simulations had been made to make sure the analysis is more precise and accurate. Here, the study was conducted to prove that a steel warehouse under the existence of randomness and uncertainty can be analyzed by apply probabilistic finite element analysis using ANSYS. Faculty of Civil Engineering and Earth Resources Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/25821/ Access in library only 0 0 0 1 10000 10000 2019-09-04 0 FKASA .S53 2017 r Bc. 0000117562 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 10684 | FKASA .S53 2017 r Bc. 0000117563 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6965 6971 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992