Experimental and numerical investigation on the complex behaviour of the localised seismic response in a multi-storey plan-asymmetric structure

Alam, Zeshan; Sun, Li; Zhang, Chunwei; Su, Zhongxin; Samali, Bijan

doi:10.1080/15732479.2020.1730914

Cited by 69 publications

(14 citation statements)

References 31 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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“…When precursors are outside the acceptance criteria, the situation is identified as a hazard, and corresponding solutions are automatically generated to solve the hazard. With the aid of ontology, the response of structural members in different loads, such as seismic loads [80,81], blast loads [82,83], and impact loads [84,85], has the opportunity to be integrated, which can provide the knowledge basis for accident simulation.…”

Section: Construction Activity Visualisationmentioning

confidence: 99%

Literature Review of Digital Twins Applications in Construction Workforce Safety

et al. 2020

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For many decades, safety has been a challenge in the construction sector. Despite extensive efforts to improve overall safety, the sector’s casualty rate still remains high. In practice, dynamic and complex construction processes may lead to on-site risks and safety plans being overlooked, likely leading to a variety of safety accidents. Nowadays, under the guidance of the digital twins (DT) concept, the advent of state-of-the-art sensing and visualisation technologies has offered the possibility to improve construction health and safety in the workplace. To understand the research advances of these technologies, identify their gaps and challenges, and propose solutions to further advance the industry’s safety, we conducted and report a thorough review on the state-of-the-art technological studies, and elaborate upon the key findings in detail. For instance, despite DT being proven to be effective in improving construction workforce safety, the construction industry has yet to fully exploit and streamline these innovations in practice. Overall, this review provides insights into technological clustering, improvement strategies, as well as workforce safety, which can benefit from formulating effective digital technology paradigms.

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“…Types of 3D printers for polymer printers include: Fused deposition modeling (FDM), Stereo lithography (SLA), Digital light processing (DLP), Selective laser sintering (SLS), and laminated objective manufacturing (LOM), Liquid Deposition Modeling (LDM) (ceramic 3D printer) [24,25]. 3D printers of FDM are one of the most common 3D printing methods in which extruded laments of thermoplastic polymers are used to produce the part [26][27][28][29][30]. The extruder is placed on a three-dimensional CNC table that moves in the x, y and z directions and places the molten polymer inside the extruder on the part [31,32].…”

Section: Introductionmentioning

confidence: 99%

Effect of different parameters on the tensile properties of printed Polylactic acid samples by FDM: experimental design tested with MDs simulation

Farazin

Mohammadimehr

2021

Int J Adv Manuf Technol

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Fused Depositional Modeling (FDM) is one of the common methods for 3D printing of polymers, which is expanding in various industrial applications, scienti c researches, and engineering applications due to its ability to make complex parts. In this research, molecular dynamics (MDs) simulation has been used to predict the physical and mechanical properties. Then, the mechanical properties of the printed parts are obtained. The mechanical properties of 3D printed parts strongly depend on the correct selection of processing parameters. In this study, the effect of three important parameters such as in ll density, printing speed, and layer thickness are investigated on the tensile properties of PLA specimens. For this purpose, standard specimens with four in ll densities of 20%, 40%, 60% and 80%, two speeds of 20 mm/s, and 40 mm/s, and two thicknesses of 0.1 mm and 0.2 mm are printed and tested under quasistatic tensile test. In all printed specimens, the print angle is ± 45°. The experimental results show that the in ll density in comparison to the other two parameters has signi cant effect on mechanical properties such as modulus of elasticity, ultimate strength, and failure strain. According to these results, by increasing the in ll density, the stiffness and strength of the specimens increases considerably. At in ll density of 80%, the specimens has the highest stiffness and strength, but it exhibits a brittle behavior. Moreover, it can be deduced that by reducing the layer thickness although the modulus of elasticity increases a little, ductility is greatly affected.

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Experimental and numerical investigation on the complex behaviour of the localised seismic response in a multi-storey plan-asymmetric structure

Cited by 69 publications

References 31 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

Literature Review of Digital Twins Applications in Construction Workforce Safety

Effect of different parameters on the tensile properties of printed Polylactic acid samples by FDM: experimental design tested with MDs simulation

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