Comparison of ALE, LBE and pressure time history methods to evaluate extreme loading effects in RC column

Abedini, Masoud; Zhang, Chunwei; Mehrmashhadi, Javad; Akhlaghi, Ebrahim

doi:10.1016/j.istruc.2020.08.084

Cited by 55 publications

(7 citation statements)

References 25 publications

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“…Uncertainty analysis is one of the main components in the decision-making systems of the different engineering sciences (Alam et al 2020a, Yang et al 2020aAbedini et al 2020;Abedini & Zhang 2021;Ouyang et al 2021;Chen et al 2021;Sabernezhad 2021;Rivera-Diaz et al 2021). In hydrological problems, probabilistic planning and fuzzy programming are included as two methods of uncertainty analysis (Wang et al 2018(Wang et al , 2019.…”

Section: Introductionmentioning

confidence: 99%

Expression of Concern: Fuzzy-probabilistic modeling the flood characteristics using bivariate frequency analysis and α-cut decomposition

Sun

Khayatnezhad

2021

Water Supply

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Water allocation in agricultural lands, optimal design of hydraulic structures and climatic phenomena are the events in water management science that face hydrological uncertainties. The purpose of this study is to estimate the characteristics of surface runoff based on probabilistic and fuzzy analysis. Separation and generation of basic hydrological information, probabilistic modeling, fuzzy analysis, and optimization to achieve the solution were the main steps of the decision-making problem. Long-term hydrological data of the study area were collected, analyzed and used as a basis for the simulation model. In this study, a copula-based stochastic method was developed to deal with uncertainties related to rainfall and runoff characteristics as well as to address the nonlinear dependence between multiple random variables. The relationship between rainfall variables and flood characteristics was formulated through fuzzy set theory. The feasible domain of the fuzzy problem was searched using the non-dominated sorting genetic algorithm to find the optimal extreme points. The obtained solutions were used as a fuzzy response to calculate the flood of the Baghmalek plain in Khuzestan province in southwestern Iran. The results showed that the maximum model error occurred in predicting rainfall depth and flood volume, and the maximum rainfall rate and runoff flow could be calculated more accurately. Moreover, the developed fuzzy-probabilistic model was able to predict more than 90% of flood events within the defined fuzzy range.

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Section: Introductionmentioning

confidence: 99%

Expression of Concern: Fuzzy-probabilistic modeling the flood characteristics using bivariate frequency analysis and α-cut decomposition

Sun

Khayatnezhad

2021

Water Supply

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“…Typically, blast loading may be modeled using one of three alternatives: Arbitrary Lagrangian Eulerian (ALE), Load Blast Enhanced (LBE), and pressure-time history methods. Earlier research [20] concluded that using pressure-time history can predict the displacement response due to blast loading with sufficient accuracy as compared to the other two techniques, while providing substantial saving in computational time. Thus, in this research, the pressure-time history analysis technique was adopted, also to be consistent with design guide No.26 [13] and UFC 340-02 [14] analysis methods.…”

Section: Blast-like Load Resultsmentioning

confidence: 99%

Performance of extended end-plate bolted connections subjected to static and blast-like loads

Osman

Mourad

2021

J. Eng. Appl. Sci.

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In this study, numerical models were developed to predict the behavior of steel extended end-plate moment connections subjected to static and blast-like loading. Two types of extended end-plate connections were considered, stiffened, and unstiffened, with pretensioned bolts. The models were verified by comparing the results with published experimental data. The models were used to compute the moment-rotation curves for the connection under static loading, and then under different blast durations. The pressure impulse diagram and the energy dissipation for the connection under dynamic loading were determined. The failure modes were examined, and the numerical results were compared with the simplified models presented in codes and standards. Improvement in the performance of the connection by adding one or two stiffeners was demonstrated. For the configuration studied, introducing a stiffener increased plastic dissipation energy for blast loading by 45% compared to the unstiffened connection, whereas under static loading, the plastic energy dissipation for stiffened connection, SC2, was higher than the unstiffened connection by 30%. A conservative estimate for the dynamic increase factor (DIF) was found to be 1.2 for steel yield stress and 1.05 for bolt failure.

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“…According to the size of the sample, the expansive soil was tested by a laser particle size analyzer, and the iron tailing sand was tested by the sieving method. It can be seen from the figure that the particle size of expansive soil is relatively small and the distribution range is mainly 2-10 μm, while the particle size of ITS is relatively large, mainly 100-1000 μm [40][41][42][43].…”

Section: Methodsmentioning

confidence: 99%

Study on Mechanical Properties of the Expansive Soil Treated with Iron Tailings Sand

Chu

Zhang

et al. 2021

Advances in Civil Engineering

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Aiming at researching shear strength parameters of expansive soil modified by industrial waste iron tailings sand, the enhancement of expansive soil is explored from macroscopic and microscopic aspects. After characterization and testing by various means, the results show that expansive soil modified by iron tailings sand will increase the maximum dry density of the improved soil and reduce its optimal moisture content, which is beneficial in tuning the moisture content at the construction site. In addition, iron tailings sand can improve the shear strength of expansive soils. The influence of iron tailings sand on cohesion increases first, then decreases, and reaches the peak value at 30%, while the effect on internal friction angle exhibits a continuously increasing trend. Furthermore, according to mercury intrusion tests and microangle analysis, the addition of iron tailings sand can reduce the tiny pores and enhance the occlusal force of the soil. Simultaneously, it increases the number of large pores, maximizing the macroscopic strengthening of iron tailings sand towards the expansive soil.

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Comparison of ALE, LBE and pressure time history methods to evaluate extreme loading effects in RC column

Cited by 55 publications

References 25 publications

Expression of Concern: Fuzzy-probabilistic modeling the flood characteristics using bivariate frequency analysis and α-cut decomposition

Expression of Concern: Fuzzy-probabilistic modeling the flood characteristics using bivariate frequency analysis and α-cut decomposition

Performance of extended end-plate bolted connections subjected to static and blast-like loads

Study on Mechanical Properties of the Expansive Soil Treated with Iron Tailings Sand

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