INVESTIGATION OF FORCE AND MOMENT EFFECT OF ST 37 AND ST 70 ROOF LATTICE STEELS IN ANSYS PROGRAM

Abstract

St 37 and St 70 steels are materials used in the manufacturing of general building materials, produced by processing the hot-formed steel further through a cold drawing process. Finite element method helps simplifying complex engineering problems and solving them with controllable parts. The roof  lattice model simulated in the present study is a 4-surface pyramidal roof which is 4 mm in diameter, 0.5 mm in thickness and it is designed in 3D in Ansys software by using the finite element method. The bottom corner nodes of the roof lattice model are stabilized and the vector stress effects of 65.000 N force applied in  F_x, F_z directions and 75.000 N force applied in F_y direction on the top node truss axes, 65.000 N.m moment applied in M_x, M_z directions and 75.000 N.m moment applied in My direction on middle truss nodes are investigated. According to the test results in Ansys software, vector stress increase due to both force and moment effect in truss axes of the St 70 lattice roof steel compared to the St 37 steel.

Keywords

• St 37- St 70,Ansys,Force and moment,Finite element method

References

1. References[1] Bebon International co.,ltd., http://www.steel-plate-sheet.com/Steel-plate/DIN/St372.html.[2] Join-Win Steel, http://www.steel-jw.com/DINEN/ST702-structure-steel-with-competitive-price.html.[3] Simscale Blog-Finite Element Method, https://www.simscale.com/blog/2016/10/what-is-finite-element-method/[4] Rottensteiner, F., Sohn, G., Gerke, M., Wegner, J.D., Breitkopf, U., Jung, J. (2014). Results of the ISPRS benchmark on urban object detection and 3d building reconstruction, ISPRS J. Photogram. Remote Sens., 93, pp. 256-271, 10.1016/j.isprsjprs.2013.10.004. [5] Jochem, A., Höfle, B., Rutzinger, M., Pfeifer, N. (2009). Automatic roof plane detection and analysis in airborne LiDAR point clouds for solar potential assessment, Sensors, 9, pp. 5241-5262, 10.3390/s90705241. [6] Huang, H., Brenner, C., Sester, M. (2013). A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data, ISPRS J. Photogram. Remote Sens., 79, pp. 29-43, 10.1016/j.isprsjprs.2013.02.004. [7] Vitti, A. (2012). The Mumford-Shah variational model for image segmentation: an overview of the theory, implementation and use, ISPRS J. Photogram. Remote Sens., 69, pp. 50-64, 10.1016/j.isprsjprs.2012.02.005. [8] Blake, A., Zisserman, A. (1987). Visual Reconstruction, MIT Press. [9] Ohtake, Y., Belyaev, A., Seidel, H.P. (2004). Ridge-valley lines on meshes via implicit surface fitting, ACM Trans. Graph., 23, pp. 609-612, 10.1145/1015706.1015768.[10] Rottensteiner, F. (2003). Automatic generation of high-quality building models from LiDAR data, IEEE Comput. Graphics Appl., 23, pp. 42-50, 10.1109/MCG.2003.1242381.[11] Wang, Y., Hao, W., Ning, X., Zhao, M., Zhang J., Shi, Z., Zhang, X. (2013). Automatic segmentation of urban point clouds based on the gaussian map, Photogram. Rec., 28, pp. 342-361, 10.1111/phor.12041.[12] Taşkaya S. (2017). Investıgatıon of mechanical stresses dependent on press in St 37 steel Ansys program, The Journal of International Manufacturing and Production Technologies (JIMPOT), 1, pp. 39-46.[13] China steel suppliers, http://www.steelgr.com/Steel-Grades/Carbon-Steel/st70-2.html.