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  • Open Access

    ARTICLE

    The Material Deformation and Internal Structure Development of Granular Materials under Different Cyclic Loadings

    Jiao Wang1,*, Xihua Chu2,*, Jinbao Wang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 653-670, 2022, DOI:10.32604/cmes.2022.018207 - 13 December 2021

    Abstract Common structures in engineering such as slopes, roadbeds, ballasts, etc., are closely related to granular materials. They are usually subjected to long-term cyclic loads. This study mainly focused on the mechanical behaviors of randomly arranged granular materials before they reach a stable state under different cyclic loads. The variation of the maximum axial strain and the influence of CSR (cyclic stress ratio) were analyzed. The energy consumed in each cycle under constant confining stress loading condition is significantly greater than that of the fixed wall loading condition. The internal deformation evolution of granular materials is… More >

  • Open Access

    ARTICLE

    Optical Flow with Learning Feature for Deformable Medical Image Registration

    Jinrong Hu1, Lujin Li1, Ying Fu1, Maoyang Zou1, Jiliu Zhou1, Shanhui Sun2,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2773-2788, 2022, DOI:10.32604/cmc.2022.017916 - 07 December 2021

    Abstract Deformable medical image registration plays a vital role in medical image applications, such as placing different temporal images at the same time point or different modality images into the same coordinate system. Various strategies have been developed to satisfy the increasing needs of deformable medical image registration. One popular registration method is estimating the displacement field by computing the optical flow between two images. The motion field (flow field) is computed based on either gray-value or handcrafted descriptors such as the scale-invariant feature transform (SIFT). These methods assume that illumination is constant between images. However,… More >

  • Open Access

    ARTICLE

    Deformation Expression of Soft Tissue Based on BP Neural Network

    Xiaorui Zhang1,2,*, Xun Sun1, Wei Sun2, Tong Xu1, Pengpai Wang1, Sunil Kumar Jha3

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1041-1053, 2022, DOI:10.32604/iasc.2022.016543 - 17 November 2021

    Abstract This paper proposes a soft tissue grasping deformation model, where BP neural network optimized by the genetic algorithm is used to realize the real-time and accurate interaction of soft tissue grasping during virtual surgery. In the model, the soft tissue epidermis is divided into meshes, and the meshes generate displacements under the action of tension. The relationship between the tension and displacement of the mesh is determined by the proposed cylindrical spiral spring model. The optimized BP neural network is trained based on the sample data of the mesh point and vertical tension, so as More >

  • Open Access

    ARTICLE

    The Influence of Freeze-Thaw Cycles on Unconfined Compressive Strength of Lignin Fiber-Reinforced Loess

    Zhongnan Gao1,2,#, Xiumei Zhong1,2,#, Qian Wang1,2,*, Yongqi Su3, Jun Wang1,2

    Journal of Renewable Materials, Vol.10, No.4, pp. 1063-1080, 2022, DOI:10.32604/jrm.2022.017374 - 02 November 2021

    Abstract In the seasonal permafrost region with loess distribution, the influence of freeze-thaw cycles on the engineering performance of reinforced loess must be paid attention to. Many studies have shown that the use of fiber materials can improve the engineering performance of soil and its ability to resist freeze-thaw cycles. At the same time, as eco-environmental protection has become the focus, which has been paid more and more attention to, it has become a trend to find new environmentally friendly improved materials that can replace traditional chemical additives. The purpose of this paper uses new environmental-friendly… More >

  • Open Access

    ARTICLE

    High-Temperature Deformation and Low-Temperature Fracture Behavior of Steel Slag Rubber Asphalt Mixture Surface Layer

    Zhiqiang Shu1, Jianmin Wu1,*, Shi Chen2, Shan Yi2, Shaoqing Li1

    Journal of Renewable Materials, Vol.10, No.2, pp. 453-467, 2022, DOI:10.32604/jrm.2022.016828 - 30 August 2021

    Abstract Steel slag is regarded as one of the most widespread solid by-products of steel smelting with little commercial value. It can play a vital role in the construction industry especially in the field of transportation infrastructure construction. However, there are few evaluation systems established on the high-temperature deformation and low-temperature fracture behavior of steel slag rubber asphalt mixture (SSRAM). This study explores the performance of SSRAM by uniaxial penetration test, Semi-Circular Bending (SCB) test and evaluates test data through regression analysis. The uniaxial penetration test results shows that the failure deformation of SSRAM increases with… More >

  • Open Access

    ARTICLE

    Study of Mutual Improvement of Completed Weathered Phyllite and Red Clay Based on Neutralization Effects of Swelling and Shrinkage Deformation

    Xiushao Zhao1, Qijing Yang1,2,*, Jianglong Rao1, Daxin Geng1, Zhouyong Tan1

    Journal of Renewable Materials, Vol.10, No.1, pp. 203-218, 2022, DOI:10.32604/jrm.2021.015854 - 27 July 2021

    Abstract Completely weathered phyllite (CWP) soil is a kind of special soil with high swell potential, while red clay is a special soil with high shrinkage. This means that these two kinds of special soils are usually not suitable for direct use as subgrade fill. To reduce the swell index of the CWP soil and the shrinkage of red clay at the same time, it was proposed to blend the CWP soil with red clay to improve their basic characteristics. A series of swell index tests and dry-wet cycle tests of the blended soils have been… More > Graphic Abstract

    Study of Mutual Improvement of Completed Weathered Phyllite and Red Clay Based on Neutralization Effects of Swelling and Shrinkage Deformation

  • Open Access

    ARTICLE

    A GPU-Based Parallel Algorithm for 2D Large Deformation Contact Problems Using the Finite Particle Method

    Wei Wang1,2, Yanfeng Zheng1,3, Jingzhe Tang1, Chao Yang1, Yaozhi Luo1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 595-626, 2021, DOI:10.32604/cmes.2021.017321 - 08 October 2021

    Abstract Large deformation contact problems generally involve highly nonlinear behaviors, which are very time-consuming and may lead to convergence issues. The finite particle method (FPM) effectively separates pure deformation from total motion in large deformation problems. In addition, the decoupled procedures of the FPM make it suitable for parallel computing, which may provide an approach to solve time-consuming issues. In this study, a graphics processing unit (GPU)-based parallel algorithm is proposed for two-dimensional large deformation contact problems. The fundamentals of the FPM for planar solids are first briefly introduced, including the equations of motion of particles… More >

  • Open Access

    ARTICLE

    A 3-Node Co-Rotational Triangular Finite Element for Non-Smooth, Folded and Multi-Shell Laminated Composite Structures

    Zhongxue Li1,*, Jiawei Ji1, Loc Vu-Quoc2, Bassam A. Izzuddin3, Xin Zhuo1

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 485-518, 2021, DOI:10.32604/cmes.2021.016050 - 08 October 2021

    Abstract Based on the first-order shear deformation theory, a 3-node co-rotational triangular finite element formulation is developed for large deformation modeling of non-smooth, folded and multi-shell laminated composite structures. The two smaller components of the mid-surface normal vector of shell at a node are defined as nodal rotational variables in the co-rotational local coordinate system. In the global coordinate system, two smaller components of one vector, together with the smallest or second smallest component of another vector, of an orthogonal triad at a node on a non-smooth intersection of plates and/or shells are defined as rotational… More >

  • Open Access

    ARTICLE

    Methodology for Road Defect Detection and Administration Based on Mobile Mapping Data

    Marina Davidović1,*, Tatjana Kuzmić1, Dejan Vasić1, Valentin Wich2, Ansgar Brunn2, Vladimir Bulatović1

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 207-226, 2021, DOI:10.32604/cmes.2021.016071 - 24 August 2021

    Abstract A detailed inspection of roads requires highly detailed spatial data with sufficient precision to deliver an accurate geometry and to describe road defects visually. This paper presents a novel method for the detection of road defects. The input data for road defect detection included point clouds and orthomosaics gathered by mobile mapping technology. The defects were categorized in three major groups with the following geometric primitives: points, lines and polygons. The method suggests the detection of point objects from matched point clouds, panoramic images and ortho photos. Defects were mapped as point, line or polygon… More >

  • Open Access

    ARTICLE

    Analysis of One-Dimensional Compression under a Wide Range of Stress with Densely Arrayed BPM

    Tao Zhang1,*, Ke Xu1,2, Wenxiong Huang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1101-1117, 2021, DOI:10.32604/cmes.2021.015406 - 24 May 2021

    Abstract In this paper, the densely arrayed bonded particle model is proposed for simulation of granular materials with discrete element method (DEM) considering particle crushing. This model can solve the problem of pore calculation after the grains are crushed, and reduce the producing time of specimen. In this work, several one-dimensional compressing simulations are carried out to investigate the effect of particle crushing on mechanical properties of granular materials under a wide range of stress. The results show that the crushing process of granular materials can be divided into four different stages according to er-logσy curves. At More >

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