Composed Mathematical-Informational modeling of column-base connections

Abstract

Depending on the type of structural analysis required, any moment-rotation curve representation can be used; these include linear, bilinear, multi-linear and nonlinear representations. The most accurate representation uses continuous nonlinear functions. In this study, two distinct approaches are proposed to account for the complex hysteretic behavior of column-base connections. The performance of the two approaches is examined and is then followed by a discussion of their merits and deficiencies. To capitalize on the merits of both mathematical and informational representations, a new approach, a composed modeling framework, is developed and demonstrated through modeling column-base connections.In the composed framework, a conventional mathematical model is complemented by the informational methods. The role of informational methods is to model aspects that the mathematical model leaves out. The potential of the composed method is illustrated through modelingcomplex hysteretic behavior of column-base connections.

Keywords

• Mechanical modeling
• neural network
• column-base connection
• composed modeling