Chenkai Hong^1,2,*, Zhongda Lyu^2,*, Fei Wang², Zhuo Zhao², Lei Wang²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1565-1592, 2024, DOI:10.32604/fdmp.2024.042685 - 23 July 2024

Abstract To scrutinize the characteristics of wave–current loads on a bridge shuttle-shaped cap–pile foundation, a 1:125 test model was considered in a laboratory flume. The inline, transverse and vertical wave–current forces acting on the shuttle-shaped cap–pile group model were measured considering both random waves and a combination of random waves with a current. The experimental results have shown that the wave–current forces can be well correlated with the wave height, the wavelength, the current velocity, the incident direction and the water level in the marine environment. An increase in the current velocity can lead to a More >

Shuxian Gao¹, Yonggang Cao^2,*, Yuchuan Bai³, Yanhua Yang¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.2, pp. 487-500, 2023, DOI:10.32604/fdmp.2022.021149 - 29 August 2022

Abstract River bending is the major effect responsible for bed topography and bank changes. In this study, fluid velocity (measured by a three-dimensional Doppler advanced point current meter) and bed topographical data have been collected in 40 sections of an experimental model. The whole flume was composed of an organic glass bend, upstream and downstream water tanks, two transition straight sections, a circulation pump, and a connection pipeline. Each section has been found to be characterized by a primary circulation and a small reverse circulation, with some sections even presenting three more or more circulation structures. More >

K. Sailaja Kumar^*, H. K. Manoj, D. Evangelin Geetha

Computer Systems Science and Engineering, Vol.44, No.1, pp. 485-499, 2023, DOI:10.32604/csse.2023.025390 - 01 June 2022

Abstract Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints. A parallel computational environment provided by Apache Hadoop can distribute and process the data over different destination systems. In this paper, the Hadoop cluster with four nodes integrated with RHadoop, Flume, and Hive is created to analyze the tweets gathered from the Twitter stream. Twitter stream data is collected relevant to an event/topic like IPL- 2015, cricket, Royal Challengers Bangalore, Kohli, Modi, from May 24 to 30, 2016 using Flume. Hive is used as a data warehouse to store the… More >

Norjihan Binti Abdul Ghani^1,*, Suraya Hamid¹, Muneer Ahmad¹, Younes Saadi¹, N.Z. Jhanjhi², Mohammed A. Alzain³, Mehedi Masud⁴

Computer Systems Science and Engineering, Vol.40, No.3, pp. 913-926, 2022, DOI:10.32604/csse.2022.018467 - 24 September 2021

Abstract The world health organization (WHO) terms dengue as a serious illness that impacts almost half of the world’s population and carries no specific treatment. Early and accurate detection of spread in affected regions can save precious lives. Despite the severity of the disease, a few noticeable works can be found that involve sentiment analysis to mine accurate intuitions from the social media text streams. However, the massive data explosion in recent years has led to difficulties in terms of storing and processing large amounts of data, as reliable mechanisms to gather the data and suitable… More >

Jianjun Gan^1,2, Y. X. Zhang^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 981-1009, 2019, DOI:10.32604/cmes.2019.07337

Abstract This study proposes a comprehensive method, which consists of field investigation, flume test and numerical simulation, to predict the velocity and sediment thickness of debris flow. The velocity and sediment thickness of the debris flow in mountainous areas can provide critical data to evaluate the geohazard, which will in turn help to understand the debris runout. The flume test of this debris prototype can provide friction coefficient and viscosity coefficient which are important for numerical simulation of debris flow. The relation between the key parameters in the numerical modelling using the Voellmy model and debris-flow More >

Lin LU, Bin TENG, Bing CHEN

The International Conference on Computational & Experimental Engineering and Sciences, Vol.19, No.4, pp. 133-134, 2011, DOI:10.3970/icces.2011.019.133

Abstract This work describes the numerical implements of a two-dimensional viscous numerical wave flume, which is based on the Finite Element Method (FEM), Computational lagrangian-Eulerian Advection Remap Volume of Fluid Method (CLEAR-VOF), internal wave generation and artificial wave damping technique. Owning to the inherent consistence of CLEAR-VOF with FEM, the present numerical model allows the simulations of wave propagation and interaction with structures to be simulated with irregular mesh partition. The present numerical wave flume is validated by several applications in comparisons with available experimental data and numerical results, including the problems of standing wave trains More >