Abstract

Based on stochastic sensitivity analysis, a new style of joint structure with greater ductility and higher strength—the beam-column joint with gusset plate angle (JGA) steel—was proposed. Research on the static and hysteretic behavior of the JGA was performed using finite element analysis and experimental methods. The research results indicated that adding a seat angle could increase the positive and negative initial rotational stiffness and strength and provide a better energy consumption performance of the joint. An improved chaotic particle swarm optimization (ICPSO) neural network algorithm was used to study the stochastic sensitivity. Seven important parameters that influence the bending stiffness and strength of the JGA, namely, the beam height, beam flange width, beam web thickness, gusset plate thickness, connection angle steel thickness, connection angle steel width, and seat angle steel thickness, were investigated by stochastic sensitivity analysis. Moreover, the beam height, connection angle steel, and seat angle steel thickness, which had significant influences on the mechanical properties of the joints, were studied in depth by finite element analysis. Within the range of the parameters of the joint, the higher the beam height was, the larger the connection angle thickness was; the smaller the connection angle width was, the better the joint performance was. A reasonable design of the JGA is proposed: a beam with the SH2 section (250 × 125 × 6 × 9 mm) and a 10 mm thick and 75 mm long angle steel connection.

Highlights

  • A joint with gusset plate angle (JGA) connection is a new type of joint used to connect the brace and the beam or column of a frame. is plate connection joint has less rigidity but greater ductility while maintaining a higher strength

  • Sensitivity analysis of the structure can determine the degree of influence of each component on the structural performance. e improved chaotic particle swarm optimization (ICPSO) method was used to conduct stochastic sensitivity analysis on the static performance of the joint, and the sensitivity calculation results were compared with those of the ANSYS Probabilistic Design System (PDS). e parameters in the algorithm were set as follows: the population size of the particle swarm was 150, the maximum number of iterations was 50, and the number of iterations of the chaotic map was 30. e steps of the chaotic processing for the particle swarm were as follows

  • Conclusions e JGA has high initial rotational stiffness, strength, and ductility, which are favorable for seismic design. e mechanical properties are quite different from the stiffened angle connection joints

Read more

Summary

Introduction

A joint with gusset plate angle (JGA) connection is a new type of joint used to connect the brace and the beam or column of a frame. is plate connection joint has less rigidity but greater ductility while maintaining a higher strength. Ese researchers used finite element analysis software to analyze the influences of the gusset plate on the rotational stiffnesses of articulated beam-column joints and on articulated. Fahnestock et al analyzed the flexural steel frame of full-scale beam-column double web angle-steel connection joints, explored the performances of nonductile braced frames, carried out dynamic analysis of multistory nonductile steel frames, and investigated the seismic capacities of frame structures [12]. An intelligent optimization algorithm—the improved chaotic particle swarm optimization algorithm [20,21,22,23]— was used to analyze the stochastic sensitivity of the angle beam-column joint with a gusset plate. Multivariate analysis of several key parameters was performed to study the influence on the JGA’s static properties with the finite element method (FEM) model and stochastic sensitivity analysis. Finite element modeling and analysis were performed for the parameters that had the greatest impact on the mechanical properties of the JGA to provide a reliable reference for engineering design

Experimental Analysis of the Joint
Finite Element Analysis
Stochastic Sensitivity Analysis of Joint Parameters
Joint Parameter Analysis
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call