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  • Open Access

    PROCEEDINGS

    Bending Collapse of Easily Fabricated Single- and Multi-Cell Arched Beams

    Xiong Zhang1,2,*, Jinkang Xiong1, Xinrong Fu1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011760

    Abstract Thin-walled beams are widely applied as energy-absorbing components in industrial products to meet the requirements of passive safety. Researchers have tried various approaches to improve the energy absorption efficiency of them. Recently, adopting arched beams was proposed by researchers to improve the crashworthiness of beams under transverse loads. Arched beams can switch the transverse forces to axial forces and were reported to show very much better crashworthiness performances than straight beams.
    Although adopting arched beams is an effective way to improve the performance of beams under transverse loads, the fabrication of arched beams is more… More >

  • Open Access

    PROCEEDINGS

    Theoretical Study on the Bending Collapse of Multi-Cell Thin-Walled Rectangular Beams

    Xinrong Fu1, Xiong Zhang1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011748

    Abstract Thin-walled beams with various cross-sectional shapes were widely applied in automobiles or other large-volume industrial products. Researchers have tried different methods to improve their crashworthiness performances and predict the collapse responses of the beams under various loads. Multi-cell thin-walled beams were reported to show excellent energy absorption efficiency and crashworthiness performances under many load conditions. Up to now, theoretical analyses on the axial crushing of multi-cell beams have attracted extensive attentions, and significant progress has been made in predicting the energy absorption of multi-cell beams with various sections. However, the theoretical analysis on the bending… More >

  • Open Access

    ARTICLE

    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 - 14 December 2023

    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

    PROCEEDINGS

    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

    ARTICLE

    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 - 06 February 2023

    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

    ARTICLE

    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 - 30 January 2023

    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

    ARTICLE

    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 - 22 September 2022

    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

    ARTICLE

    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 - 22 September 2022

    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

    ARTICLE

    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 - 31 August 2022

    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

    ARTICLE

    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 - 31 March 2022

    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 >

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