Discover the Latest Journals in Architecture and Architectonics
Architecture is both the process and product of planning, designing, and constructing a building or structure, while architectonics is the scientific study of architecture itself. Architectural works are often considered important cultural symbols and works of art, and we often identify past civilizations with their architectural heritage.
Architecture and Architectonics
Abstract
A mathematical model is developed to determine the steady-state electric current flow through in non-homogeneous isotropic conductor whose shape has a three-dimensional hollow body. The equations of the Maxwell's theory of electric current flow in a non-homogeneous isotropic solid conductor body are used to formulate the corresponding electric boundary value problem. The determination of the steady motion of charges is based on the concept of the electrical conductance. The derivation of the upper and lower bound formulae for the electrical conductance is based on Cauchy-Schwarz inequality. Two numerical examples illustrate the applications of the derived upper and lower bound formulae.
Abstract
Based on the theory of space syntax, this study quantitatively analyzes the landscape space of Baosteel Zhanjiang Steel Co. Ltd., which is constrained by epidemic preventive measures and steel plant safety production requirements in the post-epidemic age. Space syntax has the benefits of decreasing research expenses, boosting analytical efficiency, assessing space use efficiency, minimizing environmental interference, and addressing epidemic prevention demands.
Abstract
Stretching periods between precipitations have been recorded, and an adjustment of the dispersion of rainfall over the long run could be seen. An expanded number of these peculiarities have additionally been affirmed by the international panel on climate change. Due to this adjustment of the reallocation of water and the effect of high urbanization, the sewerage frameworks are affected. The aim of the work was to compare simulations of the rain event on the combined sewer overflow due to the reduced water quality recorded in the Trnávka River. The current state and the proposed building modification were compared because the current hydraulic and construction modification of the combined sewer overflow is absolutely not corresponding to the environmental regulations.
Abstract
The present study aims at developing a non-destructive evaluation technique based on elastic wave scattering and the finite element method for the detection and evaluation of localized damage in rebar of reinforced concrete beams. Simulation of corrosion effect was taken for a tensile bar by creating a defect in this bar while the rest of the rebar and stirrups were kept unchanged. The study is based on comparison of propagation pattern of elastic waves in the presence and in the absence of defect. The proposed method was found capable to provide non-destructive evaluation of rebar corrosion in reinforced concrete beams, thus enabling diagnosis of reinforcement concretes structures attacked by corrosion. The obtained results can be further used to locate corroded areas.
Abstract
In this manuscript, the combination of IoT and Multilayer Hybrid Dropout Deep-learning Model for waste image categorization is proposed to categorize the wastes as bio waste and non-bio waste. The input captured images are pre-processed and remove noises in the captured images. Under this approach, a Nature inspired Multilayer Hybrid Dropout Deep-learning Model is proposed. Multilayer Hybrid Dropout Deep-learning Model is the consolidation of deep convolutional neural network and Dropout Extreme Learning Machine classifier. Here, deep convolutional neural network is used for feature extraction and Dropout Extreme Learning Machine classifier for categorizing the waste images. To improve the classification accurateness, Horse herd optimization algorithm is used to optimize the parameter of the Dropout Extreme Learning Machine classifier. The objective function is to maximize the accuracy by minimize the computational complexity. The simulation is executed in MATLAB. The proposed Multilayer Hybrid Dropout Deep-learning Model and Horse herd optimization algorithm attains higher accuracy 39.56% and 42.46%, higher Precision 48.74% and 34.56%, higher F-Score 32.5% and 45.34%, higher Sensitivity 24.45% and 34.23%, higher Specificity 31.43% and 21.45%, lower execution time 0.019(s) and 0.014(s) compared with existing waste management and classification using convolutional neural network with hyper parameter of random search optimization algorithm waste management and classification using clustering approach with Ant colony optimization algorithm. Finally, the proposed method categorizes the waste image accurately.
Abstract
Due to some failure during the flying of drone systems, it is necessary to design and analyse compact and changeble muti rotor drone systems by using softwares. Multi-engine aircrafts are the mechatronic systems consisting of body frame, electronic control systems, rotors and blades. In the simulations realized in this work special focus has been given to the body frame due to the presence of mechanical and electronic components inside. Analysis of different vibration and force effects occurring on the whole system during the flight with high accuracy is vital for the design process of multi-engine aircrafts. In this work, a novel design procedure has been applied for the multi-engine aircraft structures including 4, 6, 8, 10 and 12 rotors and then the vibration and force effects occurring during the flight have been analyzed. As a result of detailed modal analysis carried out for different vibration frequencies, it has been observed that the vibration frequencies occurring during the flight vary between 7 and 10 Hz. Moreover, from the results obtained, it has been observed that the vibration frequency decreases while the number of rotors increased. As a result of these decreases in the vibration frequency, it has also been observed that the deformations in the body frame increased.
Abstract
The optimized chord and twist angle of the preliminary blade design through Blade Element Momentum theory are non-linear distributions, which adds to the complexity of blade manufacture and does not always guarantee the best aerodynamic performance. In this paper, the effect of the linearization on aerodynamic performance using Prandtl-Glauert correction model was investigated through four cases: case 1 and case 2 and case 3, where the chord and the twist angle are linearized and case 4, where sole chord is linearized. The effect of the linearization using Shen correction model while making a comparison to the linearization using Prandtl-Glauert correction model was also studied. The simulation is conducted for S809 wind turbine blade profile. The results show that case 4 using Shen correction model represents the best technique of linearization in terms of higher aerodynamic performance and easy manufacturing process.
Abstract
The water issue has become a frontier of public debate globally due to public awareness of sustainable development. Nigeria's water resources are under serious threat from inadequate catchment management that includes widespread pollution from indiscriminate waste disposal. Stormwater is now recognized as a valuable resource rather than a nuisance, especially in large urban centers. Growing demand for water has exerted pressure on groundwater via dug well and boreholes scattered virtually in every dwelling in Nigeria. This challenge motivated this investigation of the feasibility of harvesting stormwater for due purposes of supplementing water supply and flash flood management. This study aims at quantification of harvestable stormwater and identification of potential capturing sites using Spatial Hydrological Analysis of GIS model and Synthetic Hydrograph. The result indicated total harvestable stormwater for 24-hr rainfall of 161.3 Mm3 and three available capturing sites of eight depressions identified. This volume is a good incentive to incorporate storm harvesting in overall water resources sustainable management.
Abstract
As a result of rainfall in large quantities, the leachate generated under the municipal solid waste (MSW) is increased, which leaks to the groundwater aquifers and pollutes it. Accurate evaluation of leachate leaks levels has long been regarded as a problem in Iraq due to a lack of reliable data and costly measuring costs. This work proposes a novel fuzzy expert system to predict the pollution status of the underground water in sandy soils. The expert system consists of two subsystems; fuzzy logic system and crisp logic system. The expert system is trained using a data set developed by finite element analysis of sandy soil subjected to contamination materials.
Abstract
The mining industry, currently undergoing profound changes, is destined to play an increasingly important economic role in the province of Quebec, Canada. Activity in this sector, its real net impact on government tax revenue, the economy, society, and the creation of wealth, is the subject of much discussion. Occupational health and safety is a major preoccupation in the mining sector, in which considerable numbers of workers suffer workplace accidents or occupational diseases due to the use of industrial chemicals, compounding the problem of exposure to noxious substances that exist naturally in mines or are produced inevitably in the course of normal mining operations. Air in mines thus can become laden with a wide variety of chemical agents, in the form of suspended solids, liquid droplets, and vapors and gases. Long-term exposure to most of these agents can seriously harm the health of mineworkers. Prevention remains the key to avoiding the social and economic consequences of these hazards and will make mining a more attractive sector for investment and employment in Canada.
The principal focus of this study, presented in two articles, is to set a preliminary theoretical framework for categorizing chemicals in terms of their effects on the health of mineworkers throughout the various phases of mining projects. The objective is to decrease (over the long term) the number of occupational diseases due to the use of chemicals by raising awareness among employers and exposed workers in the mining sector.
This research was conducted in four phases. The first article presented a review of the literature [1] on the chemical aspects of health and safety in mining in the province of Quebec. In the present article, the findings on the recurrence of health problems attributable to chemicals encountered in mines and how these effects should therefore be ranked from an occupational health and safety perspective are presented. The results show that various forms of dermatitis are the most recurrent health and safety risk.
