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Toplam kayıt 84, listelenen: 41-50
Predictive modeling of recycled aggregate concrete beam shear strength using explainable ensemble learning methods
(2023)
Construction and demolition waste (CDW) together with the pollution caused by the
production of new concrete are increasingly becoming a burden on the environment. An appealing
strategy from both an ecological and a ...
Effect of equal-channel angular pressing on ordering kinetics and twinning in an 18-carat AuCuAg alloy
(2023)
The ability to modify microstructural features and the resulting properties of red gold provides an attractive
potential for applications in electronics, dental devices or jewelry. In this study, the effect of severe ...
Finite element-based p-y curves in sand
(Springer, 2023)
P-y curves are used in the prediction of non-linear soil resistance resulting from the horizontal pile movement. Many of the
p-y curves have been developed in the 1970s for the petroleum industry to predict the horizontal ...
Estimation of horizontal displacements for geosynthetic reinforced soil wall
(2023)
Nowadays, the geotechnical design trend is increasingly heading
towards the serviceability limit state. However, the current practice in the
design of geosynthetic reinforced soil (GRS) walls mostly relies on ultimate ...
Explainable data-driven ensemble learning models for the mechanical properties prediction of concrete confined by aramid fiber-reinforced polymer wraps using generative adversarial networks
(2023)
: The current study offers a data-driven methodology to predict the ultimate strain and
compressive strength of concrete reinforced by aramid FRP wraps. An experimental database was
collected from the literature, on which ...
Neural network predictive models for alkali-activated concrete carbon emission using metaheuristic optimization algorithms
(2023)
Due to environmental impacts and the need for energy efficiency, the cement industry aims
to make more durable and sustainable materials with less energy requirements without compromising
mechanical properties based on ...
Explainable machine learning model for predicting punching shear strength of FRC flat slabs
(Elsevier BV, 2023)
Reinforced concrete slabs are vulnerable to punching shear failure at the slab-column joint, which can initiate catastrophic progressive collapse. The addition of steel fibers in the concrete matrix has emerged as an ...
Verticalities in comparison: Debates on high-rise construction in Izmir and Istanbul
(2023)
Large-scale high-rise architecture projects have been central to the rise of the construction industry in Turkey in recent years. This vertical escalation, however, has not been received without dissidence. Scholars, ...
Designing robust capability-based distributed machine layouts with random machine availability and fuzzy demand/process flow information
(Springer Science and Business Media LLC, 2023)
Thus far in the available literature, capability-based distributed layout (CBDL) design approaches were only developed
under certain environments. Indeed, uncertainties embedded in the machine unavailability (or random ...
Unequal-area capability-based facility layout design problem with a heuristic decomposition-based iterative mathematical programming approach
(Elsevier, 2023)
Thus far in the available literature, capability-based facility layout design approaches were developed by only
considering equal machine areas, where they are assigned to the pre-specified locations. Based on this ...