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EN
Purpose: The purpose of the study is to estimate the aeration efficiency (E20) of Labyrinth weir using artificial intelligent (AI)-based models. Design/methodology/approach: The aeration efficiency (E20) was collected by using the nine models of Labyrinth weir with different shapes and dimensions. A total of 180 observations were used out of which 126 used to train the AI-based models and the remaining used to test the model. This observation consists of input variables such as Fraud number (Fr), Reynolds number (Re), numbers of keys (N), the ratio of head to the width of the channel (H/W), the ratio of crest length to width of the channel (L/W), the ratio of drop height to width of the channel (D/W) and shape factor (SF) and E20 as the output variables. The AI-based models used were Fuzzy Logic, multi-linear regression (MLR), adaptive neuro fuzzy interface system (ANFIS), and artificial neural network (ANN). Findings: The main findings of this investigation are that ANN is the best AI-based model that can estimate the E20 accurately than MLR, ANFIS, and Fuzzy Logic. Sensitivity analysis depicts that drop height at labyrinth weir is the essential factors for the estimation of E20; further, parametric studies have also been performed. Research limitations/implications: The proposed AI-based models can be used in the estimation of E20 with different shapes of labyrinth weir but still it needs improvement for the different dimensions. Practical implications: The best AI-based model can be used to calculate the E20 with the different values of input variables. Originality/value: There are no such AI-based models such as ANN, ANFIS, and Fuzzy Logic, available in the literature which can estimate the values of E20 accurately.
EN
Hydrodynamic flow regulators are used for diversion and/or limiting excess discharge in wastewater and stormwater systems as a replacement for traditional flow throttling devices. They are highly efficient, reliable and free from common disadvantages of traditional devices. Recent research of the authors indicated that atomization of a liquid by vortex flow regulators accelerates oxygenation and prevents the putrefaction process in wastewater and storm water collection systems. The study presents experimental results of the oxygen transfer measurements for basic designs of cylindrical hydrodynamic flow regulators in a closed-circuit experimental setup at the semi-commercial scale. The oxygen mass transfer coefficient, standard oxygen transfer rate and standard aeration efficiency were determined for the range of tested configurations by the clean water test.
3
Content available remote Wpływ dodatku pyłu krzemionkowego na efektywność napowietrzania betonu
PL
Otrzymanie optymalnej struktury porowatości betonów nawierzchniowych jest zasadniczym czynnikiem zapewnienia ich trwałości. Stosowanie domieszek napowietrzających umożliwia, dzięki tworzeniu przez nie odpowiedniego rozkładu i wielkości porów a przez to struktury, uzyskanie betonów całkowicie mrozoodpornych. W dalszych procesach technologicznych takich jak transport, układanie czy też zagęszczanie pierwotna korzystna struktura porowatości ulega często znacznemu pogorszeniu. Wykazano w jaki sposób określona ilość dodatku pyłu krzemionkowego może wpływać na stabilizację i ukierunkowane tworzenie struktury betonów napowietrzonych.
EN
The basic condition for durability is to obtain the optimal pore structure of pavement concrete. The application of air entraining admixtures ensuring suitable pore size and distribution makes possible to create a completely freeze and thaw resistant concrete structure. During further technological procedures, i.e. transportation, placing and compaction, initially advantageous pore structure often deteriorates. The influence of a given silica fume content on aerated concrete structure stabilisation and creation is presented.
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