Wei Chen^1,*, Weijie Shan¹, Yue Liang¹, Frederic Skoczylas²

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 679-696, 2023, DOI:10.32604/fdmp.2022.021249 - 29 September 2022

Abstract This study deals with the analysis of the detrimental effects of a “sulfate attack” on cement mortar for different dry-wet cycles. The mass loss, tensile strength, and gas permeability coefficient were determined and analyzed under different exposure conditions. At the same time, nitrogen adsorption (NAD), scanning electron microscopy (SEM), and X-ray diffraction (XRD) techniques were used to analyze the corresponding variations in the microstructure and the corrosion products. The results show that certain properties of the cement mortar evolve differently according to the durations of the dry-wet cycles and that some damage is caused to More >

Tahir Naseem^1,2,*, Iqra Bibi¹, Azeem Shahzad², Mohammad Munir³

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 663-677, 2023, DOI:10.32604/fdmp.2022.021136 - 29 September 2022

Abstract Heat transfer in an Eyring-Powell fluid that conducts electricity and flows past an exponentially growing sheet is considered. As the sheet is stretched in the x direction, the flow develops in the region with y > 0. The problem is tackled through a set of partial differential equations accounting for Magnetohydrodynamics (MHD), radiation and Joule heating effects, which are converted into a set of equivalent ordinary differential equations through a similarity transformation. The converted problem is solved in MATLAB in the framework a fourth order accurate integration scheme. It is found that the thermal relaxation period More >

Zhibin Zhang^1,2, Yongjun Gong^1,*, Liping Zhang³, Min Xv², Gaofeng Shang⁴

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 651-662, 2023, DOI:10.32604/fdmp.2022.020936 - 29 September 2022

Abstract Water jets are widely used in seabed scouring and desilting applications. In the present work, dedicated tests have been conducted using a jet scour model test platform and sand beds containing grains with different sizes. The FLOW-3D simulation software has also been used to tackle the problem form a numerical point of view. The boundary conditions of the simulation have been optimized to reduce the gap between the numerical results and the outcomes of the experimental tests. Scour area calculation has been based on a RNG k-ε Turbulence model. Moreover, the FAVOR (Fractional Area Volume More >

Zhenfeng Li, Yaqiao Li^*, Guangjun Wei

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 635-649, 2023, DOI:10.32604/fdmp.2022.020633 - 29 September 2022

Abstract In this study, the Stokes formula is used to analyze the separation effect of three-phase separators used in a Oilfield Central Processing Facility. The considered main influencing factors include (but are not limited to) the typical size of oil and water droplets, the residence time and temperature of fluid and the dosage of demulsifier. Using the “Specification for Oil and Gas Separators” as a basis, the control loops and operating parameters of each separator are optimized Considering the Halfaya Oilfield as a testbed, it is shown that the proposed approach can lead to good results More >

Danqing Huang^*

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 845-854, 2023, DOI:10.32604/fdmp.2022.020314 - 29 September 2022

Abstract A two-dimensional mathematical model is used to simulate the influence of water flow on the piers of a bridge for different incidence angles. In particular, a finite volume method is used to discretize the Navier-Stokes control equations and calculate the circumferential pressure coefficient distribution on the bridge piers’ surface. The results show that the deflection of the flow is non-monotonic. It first increases and then decreases with an increase in the skew angle. More >

Hao Qiu¹, Yi Wu¹, Min Wen¹, Xuesong Xing¹, Zening Hou¹, Nan Ma¹, Zizhen Zhang², Rui Zhang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 579-592, 2023, DOI:10.32604/fdmp.2022.020297 - 29 September 2022

Abstract Sand production is a critical issue during the development of offshore oil and gas fields. Certain gas fields (e.g. the AB gas field) have high porosity and high permeability, and with water at the bottom of the reservoir, the risk of sand production greatly increases at high differential pressures. Based on reservoir properties, geological conditions, production requirements, and well logging data, in this study an ultrasonic time difference method, a B index method, and a S index method are used together with a model of rock mass failure (accounting for water influx and pressure depletion)… More >

T. Edwin Ponraj^1,*, J. Charles²

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1189-1203, 2023, DOI:10.32604/iasc.2023.033383 - 29 September 2022

Abstract The mutation is a critical element in determining the proteins’ stability, becoming a core element in portraying the effects of a drug in the pharmaceutical industry. Doing wet laboratory tests to provide a better perspective on protein mutations is expensive and time-intensive since there are so many potential mutations, computational approaches that can reliably anticipate the consequences of amino acid mutations are critical. This work presents a robust methodology to analyze and identify the effects of mutation on a single protein structure. Initially, the context in a collection of words is determined using a knowledge More >

Hyun-Sam Shin¹, Jun-Ki Hong^2,*

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 235-248, 2023, DOI:10.32604/iasc.2023.033082 - 29 September 2022

Abstract Recently, artificial-intelligence-based automatic customer response system has been widely used instead of customer service representatives. Therefore, it is important for automatic customer service to promptly recognize emotions in a customer’s voice to provide the appropriate service accordingly. Therefore, we analyzed the performance of the emotion recognition (ER) accuracy as a function of the simulation time using the proposed chunk-based speech ER (CSER) model. The proposed CSER model divides voice signals into 3-s long chunks to efficiently recognize characteristically inherent emotions in the customer’s voice. We evaluated the performance of the ER of voice signal chunks More >

Jyoti Yadav^*, Suman

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1063-1078, 2023, DOI:10.32604/iasc.2023.032883 - 29 September 2022

Abstract Despite the advances mobile devices have endured, they still remain resource-restricted computing devices, so there is a need for a technology that supports these devices. An emerging technology that supports such resource-constrained devices is called fog computing. End devices can offload the task to close-by fog nodes to improve the quality of service and experience. Since computation offloading is a multiobjective problem, we need to consider many factors before taking offloading decisions, such as task length, remaining battery power, latency, communication cost, etc. This study uses the multiobjective grey wolf optimization (MOGWO) technique for optimizing… More >

S. Gnanapriya^1,*, K. Rahimunnisa²

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1105-1119, 2023, DOI:10.32604/iasc.2023.032832 - 29 September 2022

Abstract The performance of Hand Gesture Recognition (HGR) depends on the hand shape. Segmentation helps in the recognition of hand gestures for more accuracy and improves the overall performance compared to other existing deep neural networks. The crucial segmentation task is extremely complicated because of the background complexity, variation in illumination etc. The proposed modified UNET and ensemble model of Convolutional Neural Networks (CNN) undergoes a two stage process and results in proper hand gesture recognition. The first stage is segmenting the regions of the hand and the second stage is gesture identification. The modified UNET More >