Reliability analysis of H-section steel columns under blast loading

Hadianfard, Mohammad Ali; Malekpour, Sina; Momeni, Mohammad

doi:10.1016/j.strusafe.2018.06.001

Cited by 46 publications

(48 citation statements)

References 40 publications

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“…MCS is a computational algorithm that relies on repeated random sampling to address risk and uncertainties associated with random input parameters for quantitative analyses and decision making. Also, MCS is one of the simplest and relatively most accurate methods which provides a feasible way to determine the probability of failure, where the limit state function is more complicated (i.e., FE modelling), as also discussed in (Naess et al, 2009;Hadianfard et al, 2018; and many other literature studies.…”

Section: Methodsmentioning

confidence: 99%

Uncertainty Assessment for the Buckling Analysis of Glass Columns with Random Parameters

Momeni¹,

Bedon²

2020

International Journal of Structural Glass and Advanced Material

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Load-bearing elements composed of glass, as known, are often susceptible to buckling collapse mechanisms. This intrinsic characteristic (and thus potential limitation for design) typically derives from the use of relatively small thicknesses to cover large spans and surfaces, thus resulting in a multitude of columns, beams, or plates that are characterized by high slenderness. In the literature, accordingly, several and design propositions support of the definition of efficient calculation models to capture the typical buckling response of glass elements variably shaped, sized, restrained and loaded. In this study, the attention is focused on the buckling analysis of glass columns and on the assessment of uncertainties due to input random parameters. With the support of finite element numerical models, a total of 800 glass columns are investigated, by accounting for stochastic variations in the geometry (size and thickness), modulus of elasticity and density of glass, maximum amplitude of the imposed initial imperfection, material type. Based on the Monte Carlo simulation method, the final result takes the form of 2400 simulations, where the postprocessing analysis is spent on the derivation of empirical formulations for the correlation of the relevant buckling capacity indicators. From the global out-of-plane bending analysis, the input random parameters are observed to affect severely both long and short columns with different flexural stiffness. Besides, a stable linear correlation is found for some influencing indicators. The attention is thus focused on the sensitivity analysis of critical buckling load, ultimate failure configuration, deflection at collapse, buckling reduction coefficient.

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Section: Methodsmentioning

confidence: 99%

Uncertainty Assessment for the Buckling Analysis of Glass Columns with Random Parameters

Momeni¹,

Bedon²

2020

International Journal of Structural Glass and Advanced Material

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“…The results demonstrated that the weights of structures could be approximated using ANN with an admissible precision [17]. Hadianfard et al (2018) assessed the reliability theory and taking into account the different uncertainties related to blast loading and material properties. The results indicated that assessing the damage index of the columns against the blast was important with considering the random parameters [18].…”

Section: Introductionmentioning

confidence: 99%

“…Hadianfard et al (2018) assessed the reliability theory and taking into account the different uncertainties related to blast loading and material properties. The results indicated that assessing the damage index of the columns against the blast was important with considering the random parameters [18]. In this regard, Hedayat et al (2019) showed that the proposed formula developed based on ANN and Bilin element of the OpenSees software to anticipate the minimum strength requirement of SMRFs at any performance levels.…”

Section: Introductionmentioning

confidence: 99%

Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions

Sadeghi

Kazemi

Samadi

2021

Frattura Ed Integrità Strutturale

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The ground external columns of buildings are vulnerable to the extreme actions such as a vehicle collision. This event is a common scenario of buildings' damages. In this study, a nonlinear model of 2-story steel moment-resisting frame (SMRF) is made in OpenSees software. This paper aims investigating the reliability analysis of aforementioned structure under heavy vehicle impact loadings by Monte Carlo Simulation (MCS) in MATLAB software. To reduce computational costs, meta-model techniques such as Kriging, Polynomial Response Surface Methodology (PRSM) and Artificial Neural Network (ANN) are applied and their efficiency is assessed. At first, the random variables are defined. Then, the sensitivity analyses are performed using MCS and Sobol's methods. Finally, the failure probabilities and reliability indices of studied frame are presented under impact loadings with various collision velocities at different performance levels and thus, the behavior of selected SMRF is compared by using fragility curves. The results showed that the random variables such as mass and velocity of vehicle and yield strength of used materials were the most effective parameters in the failure probability computation. Among the meta-models, Kriging can estimate the failure probability with the least error, sample number with minimum computer processing time, in comparison with MCS.

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“…In the last years, structural safety under blast load has become a dramatic problem. Extreme events, such as impacts, explosions, etc., can occur in everyday life with unexpectedly high frequency [1,2]. In fact, the problem of terrorist attacks, important for strategic and military building design [2,3], can be put side by side with civil building explosion accidents [4,5].…”

Section: Introductionmentioning

confidence: 99%

Fragility Curves for RC Structure under Blast Load Considering the Influence of Seismic Demand

2020

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The complex characteristics of explosion load as well as its increasingly high frequency in the civil environment highlight the need to develop models representing the behavior of structures under blast load. This work presents a probabilistic study of the performance of framed reinforced concrete buildings designed according to the current Italian NTC18 and European EC8 technical standards. First, a simplified single degree of freedom model representing the structural system under blast load has been developed. Then, a probabilistic approach based on Monte Carlo simulation analysis highlighted the influence of seismic demand on the behavior of Reinforced Concrete RC buildings subjected to blast load.

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Reliability analysis of H-section steel columns under blast loading

Cited by 46 publications

References 40 publications

Uncertainty Assessment for the Buckling Analysis of Glass Columns with Random Parameters

Uncertainty Assessment for the Buckling Analysis of Glass Columns with Random Parameters

Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions

Fragility Curves for RC Structure under Blast Load Considering the Influence of Seismic Demand

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