Computational & Technology Resources
an online resource for computational,
engineering & technology publications |
|
Civil-Comp Proceedings
ISSN 1759-3433 CCP: 18
DEVELOPMENTS IN STRUCTURAL ENGINEERING COMPUTING Edited by: B.H.V. Topping
Paper II.3
Optimum Design of Steel Frames with Tapered Members M.P. Saka
Department of Civil Engineering, University of Bahrain, Isa Town, State of Bahrain M.P. Saka, "Optimum Design of Steel Frames with Tapered Members", in B.H.V. Topping, (Editor), "Developments in Structural Engineering Computing", Civil-Comp Press, Edinburgh, UK, pp 63-79, 1993. doi:10.4203/ccp.18.2.3
Abstract
Design of steel tapered members for combined axial and flexural strength is somewhat
complex and tedious if no approximation is made. However, recent load and Resistance Factor
Design (LRFD) of AISC code has treated the problem with sufficient accuracy and ease. In
this study an algorithm is developed for the optimum design of steel frames composed of
prismatic and / or tapered members. The width of I section is taken as constant together
with the thickness of web and flange while the depth is considered to be varying linearly
between joints. The depth at each joint in the frame where the lateral restraints are
assumed to be provided is treated as design variable. The objective function which is taken
as the volume of the frame is expressed in terms of depths at each joint. The displacement
and combined axial and flexural strength constraints are considered in the formulation of
the design problem. The strength constraints which take into account the lateral torsional
bucking resistance of the members between the adjacent lateral restraints are expressed as
a nonlinear function of depth variables. The optimality criteria method is then used to
obtain recursive relationships for depth variables under the displacement and strength
constraints. These relationships are derived from the Kuhn-Tucker necessary conditions.
The algorithm basically consists of two steps. In the first one the frame is analysed under
the external and unit loadings for the current values of the design variables. In the
second, this respond is utilized together with the values of Lagrange multipliers to compute
the new values of depth variables. This process is continued until the convergence is
obtained. Numerical examples are presented to demonstrate the practical application of the
algorithm.
purchase the full-text of this paper (price £20)
go to the previous paper |
|