Modeling uncertainty propagation in Eccentric Braced Frames using Endurance Time method and Radial Basis Function networks  

作　　者：Mohsen MASOOMZADEH Mohammad Ch.BASIM Mohammad Reza CHENAGHLOU Amir H.GANDOMI 

机构地区：[1]Industrial Technical Center for Metal Construction,Saint-Aubin 91190,France [2]Department of Civil and Urban Engineering,National Institute of Applied Sciences of Rennes,Rennes 35700,France [3]Faculty of Civil Engineering,Sahand University of Technology,Tabriz 51335,Iran [4]Faculty of Engineering&IT,University of Technology Sydney,Ultimo,NSW 2007,Australia [5]University Research and Innovation Center,Óbuda University,Budapest 1034,Hungary

出　　处：《Frontiers of Structural and Civil Engineering》2025年第3期378-395,共18页结构与土木工程前沿(英文版)

摘　　要：A robust analytical model of Eccentric Braced Frames (EBFs), as a well-known seismic resistance system, helps to comprehensive earthquake-induced risk assessment of buildings in different performance levels. Recently, the modeling parameters have been introduced to simulate the hysteretic behavior of shear links in EBFs with specific Coefficient of Variation associated with each parameter to consider the uncertainties. The main purpose of this paper is to assess the effect of these uncertainties in the seismic response of EBFs by combining different sources of aleatory and epistemic uncertainties while making a balance between the required computational effort and the accuracy of the responses. This assessment is carried out in multiple performance levels using Endurance Time (ET) method as an efficient Nonlinear Time History Analysis. To demonstrate the method, a 4-story EBF that considers behavioral parameters has been considered. First, a sensitivity analysis using One-Variable-At-a-Time procedure and the ET method has been utilized to sort the parameters with regard to their importance in seismic responses in two intensity levels. A sampling-based reliability method is first used to propagate the modeling uncertainties into the fragility curves of the structure. Radial Basis Function Networks are then utilized to estimate the structural responses, which makes it feasible to propagate the uncertainties with an affordable computational effort. The Design of Experiments technique is implemented to acquire the training data, reducing the required data. The results show that the mathematical relationships defined by Artificial Neural Networks and using the ET method can estimate the median Intensity Measures and shifts in dispersions with acceptable accuracy.

关 键 词：Eccentric Braced Frames uncertainty propagation behavioral parameters Endurance Time method correlation Latin hypercube sampling Artificial Neural Networks Radial Basis Function networks 

分 类 号：TU352.1[建筑科学—结构工程]