Global journal of Mechanical Sciences and Engineering


Research Article of Global journal of Mechanical Sciences and Engineering The influence of the stratum structure of the pipe pile sliding pile of the offshore platform Hongru Li Shanghai Maritime University, Shanghai 201306, China This article has carried on the theoretical analysis to the generation mechanism of the sliding pile phenomenon. A certain prediction was made on the causes of slipping piles and their influencing factors. At the same time, it is based on the collected field measurement data, an engineering example is selected to briefly analyze the changes in the bearing capacity of the pile foundation after the sliding pile occurs. It is found that the influence of the sliding pile on the bearing capacity of the pile foundation is mainly the influence on the side friction resistance of the pile, and the reduction of the soil resistance is also mainly due to the reduction of the side friction resistance of the pile. Finally, using ABAQUS finite element analysis software, a numerical simulation analysis was carried out on the changes of the stratum structure, the analysis results show that the position change of the soft soil layer has a certain influence on the bearing capacity of the pile, but it does not change the settlement of the pile top under the limit state; The greater the strength of the supporting layer, the greater the bearing capacity and the greater the displacement when reaching the limit state; The length of the slipped pile does not affect the bearing capacity of the pile foundation, and the farther the slipping occurs from the bearing layer, the smaller the impact on the bearing capacity of the pile foundation. Therefore, in the actual project, attention should be paid to the selection of the bearing layer and the soft soil layer close to the bearing ...


Review Article of Global journal of Mechanical Sciences and Engineering EMERGING INTERNET OF THINGS (IOT) TECHNOLOGY TO IDENTIFY AND REPORT SUSPECTED CASES OF EBOLA VIRUS DISEASE: A SURVEY OF 2014 EBOLA OUTBREAK AMADI, Gloria Y., OMOTOSHO, Olawale J., OKOLIE, Michael O., AGBAJE, Michael O., NGOFA, Reuben. O Department of Computer Science, Babcock University, Nigeria The application Internet of Things (IoT) technologies that are readily available across many developed countries of the World can drastically improve the rapid response of health practitioners in handling and managing infectious diseases in patients, especially Zoonotic disease like Ebola Virus disease. The management of Ebola Virus disease in real time is a challenge and will be our focus due to the danger it poses in case of an epidemic outbreak as it requires rapid response to checkmate the disease. This paper uses a case study approach in its methodology. It presents an investigative framework for the application of Internet of Things (IoT) Technologies in tackling the Suspected Case of Ebola Virus Disease in Nigeria. The study proposes the use of IoT technology and other smart devices (such as smartphone, body temperature sensor) in sensing and identifying Suspected Case of Ebola Virus, and Reporting of Real time data generated from the Suspected case anytime, anywhere for quick response intervention. The result is to provide better health emergency rapid response and proper management of the virus disease pattern to achieve timely intervention in the control or containment of the outbreak while limiting the spread and risk factor. The general aim of this work is to design a real time detection and/or identification system for Suspected Cases of Ebola Virus Disease. The specific objectives are to: conduct a relative review of frameworks to aid the propose system, design an Ebola Smart Detection System (EDS) to detect and/or identify ...


Research Article of Global journal of Mechanical Sciences and Engineering EVALUATION OF FIELD PEA (PISUM SATIVUML.) GENOTYPES FOR YIELD AND YIELD ATTRIBUTING TRAITS Kedir Yimam*, Aliyi Robsa, Gizachew Yilma and Temesgen Abo Kulumsa Agricultural Research Center The production and productivity of field pea in Ethiopia is constrained by low-yielding po-tential of land race, susceptibility to diseases like powdery mildew and Ascochyta blight/spot as well as a biotic stresses like frost and soil acidity. The field experiment was conducted in 2018/19 main cropping season at two locations using simple lattice design to evaluate the genetic variability and performance of forty nine field pea genotypes for yield ad yield attributing traits. The combined/pooled / analysis of variance revealed highly sig-nificant (P≤0.01) to significant (P≤0.05) differences among genotypes observed for all traits under study except for number of seeds pod -1 . The seed yield ranged from 1955 to 5997 kg ha-1 with a mean of 3803 kg across the two locations. Two genotypes PDFPT-BEK and P-313-053 were relatively high yielder over the two locations. The genotypic (GCV) and phenotypic (PCV) coefficient of variation (GCV) ranged from (1.07%) to (22.40%) and (1.22%) to (28.18% for days to maturity and grain yield, respectively for combined analyses. The PCV values were relatively greater than GCV in magnitude for all traits, of which significantly higher PCV than GCV values observed for number of pods per plant, Stand count, powdery mildew and ascocayta blight, but insignificant differences be-tween PCV and GCV values observed for days to flowering, days to maturity, plant height, 1000 seed weight, and grain yield. Broad sense heritability ranged from 23.66% to 90.73 %. The genetic advance as percentage of mean (GAM) varied from 1.92% to 36.73% .Higher heritability (H2) coupled with high GAM observed for grain yield per ha and Higher herita-bility (H2) ...


Research Article of Global journal of Mechanical Sciences and Engineering CORRELATION AND PATH ANALYSIS FOR SOME AGRONOMIC CHARACTERS IN FIELD PEA (PISUMSATIVUM L.) GENOTYPES Kedir Yimam*, Deresa Tesfaye and Gebeyehu Achenf Kulumsa Agricultural Research Center Field pea is an important pulse crop in Ethiopia. However, the national productivity of field pea is low and thus knowledge on the nature and magnitude of character association and identification of important character is a prerequisite for the development of high yielding field pea genotypes. Hence a total of 49 field pea genotypes were grown in 7x 7 simple lattice design at two environments during 2018/19 main cropping season to estimate the magnitude of association among characters and to study the contribution of direct and indirect effect of different characters on grain yield in field pea genotypes. Positive and significant genotypic correlation observed between grain yield with plant height (rg=0.67), seeds per pod (rg = 0.45), days to maturity (rg =0.41) and pods per plant (rg=0.33). In additions, genotypic path analysis showed that plant height (0.746) exerted the maximum positive direct effect on grain yield followed by stand count at harvest (0.443), 1000 seed weight (0.372), seeds per pod (0.214), pods per plant (0.213), and days to maturity (0.013). Finally, selection for traits such as plant height, pods per plant, seeds per pod and days to maturity could improve grain yield in field pea. Keywords: correlation, direct effect, indirect effect, path coefficient ...

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Global journal of Mechanical Sciences and Engineering