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  • Open Access

    ARTICLE

    Clinical Data-Driven Finite Element Analysis of the Kinetics of Chewing Cycles in Order to Optimize Occlusal Reconstructions

    Simon Martinez1, Jürgen Lenz1, Hans Schindler1,2, Willi Wendler1, Stefan Rues3, Karl Schweizerhof1,*, Sophia Terebesi2, Nikolaos Nikitas Giannakopoulos2, Marc Schmitter2

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.3, pp. 1259-1281, 2021, DOI:10.32604/cmes.2021.017422

    Abstract The occlusal design plays a decisive role in the fabrication of dental restorations. Dentists and dental technicians depend on mechanical simulations of mandibular movement that are as accurate as possible, in particular, to produce interference-free yet chewing-efficient dental restorations. For this, kinetic data must be available, i.e., movements and deformations under the influence of forces and stresses. In the present study, so-called functional data were collected from healthy volunteers to provide consistent information for proper kinetics. For the latter purpose, biting and chewing forces, electrical muscle activity and jaw movements were registered synchronously, and individual More >

  • Open Access

    ARTICLE

    Fatigue Performance of Orthotropic Steel Decks in Super-Wide Steel Box Girder Considering Transverse Distribution of Vehicle Load

    Xudong Wang1,2, Changqing Miao1,2,*, Mao Yang1,2, Youliang Ding1,2

    Structural Durability & Health Monitoring, Vol.15, No.4, pp. 299-316, 2021, DOI:10.32604/sdhm.2021.017526

    Abstract This study presents an investigation on the fatigue analysis of four types of details on orthotropic steel decks (OSDs) for a cable-stayed super-wide steel box girder bridge based on finite-element analysis (FEA) with vehicle transverse distribution model (VTDM). A high-fidelity 3D FE model verified by the static load test is established to satisfy the fatigue analysis accuracy. The stress behavior of super-wide steel box girders under the vehicle load at different lane locations is investigated. Then, considering the effect of VTDM, the fatigue life analysis of four typical details is performed using the Miner cumulative More >

  • Open Access

    ARTICLE

    Parametric Study of Hip Fracture Risk Using QCT-Based Finite Element Analysis

    Hossein Bisheh1,2, Yunhua Luo1,3, Timon Rabczuk2,*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1349-1369, 2022, DOI:10.32604/cmc.2022.018262

    Abstract Various parameters such as age, height, weight, and body mass index (BMI) influence the hip fracture risk in the elderly which is the most common injury during the sideways fall. This paper presents a parametric study of hip fracture risk based on the gender, age, height, weight, and BMI of subjects using the subject-specific QCT-based finite element modelling and simulation of single-leg stance and sideways fall loadings. Hip fracture risk is estimated using the strain energy failure criterion as a combination of bone stresses and strains leading to more accurate and reasonable results based on More >

  • Open Access

    ARTICLE

    2D Finite Element Analysis of Asynchronous Machine Influenced Under Power Quality Perturbations

    Jasmin Pamela S1 , R. Saranya1 , V. Indragandhi1 , R. Raja Singh1 , V. Subramaniyaswamy2, Yuvaraja Teekaraman3 , Shabana Urooj4,*, Norah Alwadai5

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5745-5763, 2022, DOI:10.32604/cmc.2022.020093

    Abstract

    Asynchronous machines are predominantly preferred in industrial sectors for its reliability. Power quality perturbations have a greater impact on industries; among the different power quality events, voltage fluctuations are the most common and that may cause adverse effect on machine's operation since they are longer enduring. The article discusses a numerical technique for evaluating asynchronous motors while taking into account magnetic saturation, losses, leakage flux, and voltage drop. A 2D linear analysis involving a multi-slice time stepping finite element model is used to predict the end effects. As an outcome, the magnetic saturation and losses are

    More >

  • Open Access

    ARTICLE

    Finite Element Analysis on the Uniaxial Compressive Behavior of Concrete with Large-Size Recycled Coarse Aggregate

    Tan Li, Jianzhuang Xiao*, Amardeep Singh

    Journal of Renewable Materials, Vol.10, No.3, pp. 699-720, 2022, DOI:10.32604/jrm.2022.016898

    Abstract To model the concrete with complex internal structure of concrete with large sized aggregates the effect of internal structure on uniaxial compression behavior are studied. Large-sized recycled aggregates behave differently in the concrete matrix. To understand the influence on concrete matrix, a finite element model was developed to model recycled aggregate concrete composed of multiple randomly distributed irregular aggregates and cement mortar. The model was used to calculate the effect of large-size recycled coarse aggregate (LRCA) on the strength of recycled aggregate concrete and simulate the compressive strength of cubes and prisms. The factors such… More >

  • Open Access

    ARTICLE

    Experimental Study on the Axial Compression Behavior of Short Columns of Steel-Fiber-Reinforced Recycled Aggregate Concrete

    Chunyang Liu1,2,*, Jia Xu1, Yifan Gu1, Ruofan Shi1

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.6, pp. 1129-1142, 2021, DOI:10.32604/fdmp.2021.017376

    Abstract In order to study the axial compression performances of short columns made of recycled aggregate concrete, four samples were designed with different recycled aggregate replacement rates and carbon fibre reinforced plastics (CFRP) sheets. Then, monotonic loading was implemented to assess the variation trends of their axial compression properties. The ABAQUS finite element software was also used to determined the compression performances. Good agreement between experimental and numerical results has been found for the different parameters being considered. As shown by the results, recycled coarse aggregates result in improved ductility and better deformation performance of the More >

  • Open Access

    ARTICLE

    An Improved Data-Driven Topology Optimization Method Using Feature Pyramid Networks with Physical Constraints

    Jiaxiang Luo1,2, Yu Li2, Weien Zhou2, Zhiqiang Gong2, Zeyu Zhang1, Wen Yao2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 823-848, 2021, DOI:10.32604/cmes.2021.016737

    Abstract Deep learning for topology optimization has been extensively studied to reduce the cost of calculation in recent years. However, the loss function of the above method is mainly based on pixel-wise errors from the image perspective, which cannot embed the physical knowledge of topology optimization. Therefore, this paper presents an improved deep learning model to alleviate the above difficulty effectively. The feature pyramid network (FPN), a kind of deep learning model, is trained to learn the inherent physical law of topology optimization itself, of which the loss function is composed of pixel-wise errors and physical More >

  • Open Access

    ARTICLE

    Ply-by-Ply Failure Analysis of Laminates Under Dynamic Loading

    Ravi Joshi*, P. Pal

    Sound & Vibration, Vol.55, No.2, pp. 173-190, 2021, DOI:10.32604/sv.2021.011387

    Abstract Ply-by-ply failure analysis of symmetric and anti-symmetric laminates under uniform sinusoidal transverse dynamic loading is performed for a specified duration. The study investigates the first ply failure load, followed by the detection of successive ply failures along with their failure modes using various failure theories. Some of the well-established failure theories, mostly used by the researchers, are considered for the failure prediction in laminates. The finite element computational model based on higher order shear deformation displacement field is used for the failure analysis and the complete methodology is computer coded using FORTRAN. The ply-discount stiffness More >

  • Open Access

    ARTICLE

    Numerical Analysis of Three-Layer Deep Tunnel Composite Structure

    Weiwei Sun1, Hongping Min2, Jianzhong Chen1,*, Chao Ruan2, Yanjun Zhang2, Lei Wang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 223-239, 2021, DOI:10.32604/cmes.2021.015208

    Abstract To date, with the increasing attention of countries to urban drainage system, more and more regions around the world have begun to build water conveyance tunnels, sewage pressure deep tunnels and so on. However, the sufficient bearing capacity and corrosion resistance of the structure, which can ensure the actual service life and safety of the tunnel, remain to be further improved. Glass Fiber Reinforced Plastics (GFRP) pipe, with light weight, high strength and corrosion resistance, has the potential to be applied to the deep tunnel structure. This paper proposed a new composite structure of deep… More >

  • Open Access

    ARTICLE

    Analysis of Electromagnetic Performance of Modulated Coaxial Magnetic Gears Used in Semi-Direct Drive Wind Turbines

    Jungang Wang1,*, Liqun Qian1, Shuairui Xu1, Ruina Mo2

    Energy Engineering, Vol.118, No.2, pp. 251-264, 2021, DOI:10.32604/EE.2021.014143

    Abstract Wind turbine is a key device to realize the utilization of wind energy, and it has been highly valued by all countries. But the mechanical gear transmission of the existing wind power device has the disadvantages of high vibration and noise, high failure rate, and short service time. Magnetic field modulation electromagnetic gear transmission is a new non-contact transmission method. However, the conventional modulation magnetic gear has low torque density and torque defects with large fluctuations. In order to overcome the gear transmission problems of the existing semi-direct drive wind power generation machinery and improve… More >

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