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  • Open Access


    The Conversion of Non-Dispersed Polymers into Low-Potassium Anti-Collapse Drilling Fluids

    Hao Hu1,2,3, Jian Guan4, Shanfa Tang1,2,3,*, Jialuo Rong1,2,3, Yuanpeng Cheng1,2,3

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.2, pp. 325-335, 2024, DOI:10.32604/fdmp.2023.042055

    Abstract Different drilling fluid systems are designed according to mineral composition, lithology and wellbore stability of different strata. In the present study, the conversion of a non-dispersed polymer drilling fluid into a low potassium anti-collapsing drilling fluid is investigated. Since the two drilling fluids belong to completely different types, the key to this conversion is represented by new inhibitors, dispersants and water-loss agents by which a non-dispersed drilling fluid can be turned into a dispersed drilling fluid while ensuring wellbore stability and reasonable rheology (carrying sand—inhibiting cuttings dispersion). In particular, the (QYZ-1) inhibitors and (FSJSS-2) dispersants… More >

  • Open Access


    Atomistic Simulations on the Shock Response of Nanoscale He Bubble in Metal

    Jianli Shao1,2,*, Weidong Wei1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09101

    Abstract This report mainly introduces our recent research on the shock-induced collapse, migration and coalescence of He bubbles in metal based on atomistic simulations. The He bubble will be compressed to permanent deformation with the finite plastic collapse of metal. Under strong shock, the He bubble can be breakdown by the nano-jet of the metal, but it returns to a reduced sphere in the molten metal after long-time evolution, driven by the He-Al interface energy. Besides, the shock-induced migration of He bubble is revealed, which can be divided into shock acceleration and the following inertial motion. More >

  • Open Access


    Adaptive Consistent Management to Prevent System Collapse on Shared Object Manipulation in Mixed Reality

    Jun Lee1, Hyun Kwon2,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 2025-2042, 2023, DOI:10.32604/cmc.2023.036051

    Abstract A concurrency control mechanism for collaborative work is a key element in a mixed reality environment. However, conventional locking mechanisms restrict potential tasks or the support of non-owners, thus increasing the working time because of waiting to avoid conflicts. Herein, we propose an adaptive concurrency control approach that can reduce conflicts and work time. We classify shared object manipulation in mixed reality into detailed goals and tasks. Then, we model the relationships among goal, task, and ownership. As the collaborative work progresses, the proposed system adapts the different concurrency control mechanisms of shared object manipulation More >

  • Open Access


    Optimization of Anti-Collapse Drilling Fluid Systems with High Potassium Content

    Yu Xia1, Jian Guan4, Yong Gao5, Shanfa Tang1,2,3,*, Jialuo Rong1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1609-1622, 2023, DOI:10.32604/fdmp.2023.025263

    Abstract The ash mudstone in some oil formations is highly water-sensitive. The oil formation is fractured, and the risk of well leakage and collapse is not negligible. This study presents a countermeasure for well collapse prevention, based on a “force-chemistry synergistic balance” approach and the utilization of environmentally friendly and efficient hydration inhibitors. The relevance of this approach is demonstrated considering a drilling fluid system with the high potassium content. The analysis shows that the system can maintain good rheological properties, filtration loss and suspension stability even after aging at 130°C for 16 h. The primary More >

  • Open Access


    Experimental and Numerical Study on Progressive Collapse Analysis of a Glulam Frame Structure: I. Side Column Exposed to Fire

    Xiaowu Cheng, Xinyan Tao, Lu Wang*

    Journal of Renewable Materials, Vol.11, No.2, pp. 905-920, 2023, DOI:10.32604/jrm.2022.023196

    Abstract This paper presents experimental and numerical investigations on progressive collapse behavior of a two-story glulam frame when the side column is exposed to ISO834 standard fire. The collapse mechanism initiated by fire is identified. The experimental results show that the progressive collapse of a glulam frame could be described for three stages, namely bending effect stage, catenary effect stage and failure stage, respectively. These stages are discussed in detail to understand the structural behavior before and during collapse. It is demonstrated that the entire frame slopes towards the side of the heated column, and the More >

  • Open Access


    Intelligent SLAM Algorithm Fusing Low-Cost Sensors at Risk of Building Collapses

    Dahyeon Kim, Junho Ahn*

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1657-1671, 2023, DOI:10.32604/cmc.2023.029216

    Abstract When firefighters search inside a building that is at risk of collapse due to abandonment or disasters such as fire, they use old architectural drawings or a simple monitoring method involving a video device attached to a robot. However, using these methods, the disaster situation inside a building at risk of collapse is difficult to detect and identify. Therefore, we investigate the generation of digital maps for a disaster site to accurately analyze internal situations. In this study, a robot combined with a low-cost camera and two-dimensional light detection and ranging (2D-lidar) traverses across a… More >

  • Open Access


    Slope Collapse Detection Method Based on Deep Learning Technology

    Xindai An1, Di Wu1,2,*, Xiangwen Xie1, Kefeng Song1

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1091-1103, 2023, DOI:10.32604/cmes.2022.020670

    Abstract So far, slope collapse detection mainly depends on manpower, which has the following drawbacks: (1) low reliability, (2) high risk of human safe, (3) high labor cost. To improve the efficiency and reduce the human investment of slope collapse detection, this paper proposes an intelligent detection method based on deep learning technology for the task. In this method, we first use the deep learning-based image segmentation technology to find the slope area from the captured scene image. Then the foreground motion detection method is used for detecting the motion of the slope area. Finally, we More >

  • Open Access


    A New Proximity Indicator for Assessment of Voltage Stability and Critical Loadability Point

    Chandrakant Dondariya*, D. K. Sakravdia

    Energy Engineering, Vol.119, No.3, pp. 947-963, 2022, DOI:10.32604/ee.2022.019118

    Abstract This paper presents a newly developed proximity indicator for voltage stability assessment which can be used to predict critical real system load and voltages at various load buses at critical loading point. The proximity indicator varies almost parabolic with total real load demand and reaches orthogonally to real load axis. This relation has been utilized to predict critical loading point. It has been shown that two operating points are needed for estimating critical point and proper selection of operating points and variation of proximity indicator near collapse point highly affect the accuracy of estimation. Simulation More >

  • Open Access


    Experimental and Numerical Assessment on Seismic Performance of Earth Adobe Walls

    Zele Li1, Mohammad Noori2, Wael A. Altabey1,3,*

    Structural Durability & Health Monitoring, Vol.15, No.2, pp. 103-123, 2021, DOI:10.32604/sdhm.2021.011193

    Abstract Earth buildings are common types of structures in most rural areas in all developing countries. Catastrophic failure and destruction of these structures under seismic loads always result in loss of human lives and economic losses. Wall is an important load-bearing component of raw soil buildings. In this paper, a novel approach is proposed to improve the strength and ductility of adobe walls. Three types of analyses, material properties, mechanical properties, and dynamic properties, are carried out for the seismic performance assessment of the adobe walls. These performed studies include that, material properties of the earth… More >

  • Open Access


    Analysis of a Water-Inrush Disaster Caused by Coal Seam Subsidence Karst Collapse Column under the Action of Multi-Field Coupling in Taoyuan Coal Mine

    Zhibin Lin1, Boyang Zhang1,2,*, Jiaqi Guo1

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 311-330, 2021, DOI:10.32604/cmes.2021.011556

    Abstract Minin-induced water inrush from a confined aquifer due to subsided floor karst collapse column (SKCC) is a type of serious disaster in the underground coal extraction. Karst collapse column (KCC) developed in a confined aquifer occurs widely throughout northern China. A water inrush disaster from SKCC occurred in Taoyuan coal mine on February 3, 2013. In order to analyze the effect of the KCC influence zone’s (KCCIZ) width and the entry driving distance of the water inrush through the fractured channels of the SKCC, the stress, seepage, and impact dynamics coupling equations were used to… More >

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