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  • Open Access

    ARTICLE

    Effect of Sheath Modeling on Unbonded Post-Tensioned Concrete under Blast Loads

    Hyeon-Sik Choi1, Min Kyu Kim1, Jiuk Shin2, Thomas H.-K. Kang1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074029 - 29 January 2026

    Abstract Unbonded post-tensioned (PT) concrete systems are widely used in safety-critical structures, yet modeling practices for prestress implementation and tendon-concrete interaction remain inconsistent. This study investigates the effects of sheath (duct) implementation and confinement assumptions through nonlinear finite element analysis. Four modeling cases were defined, consisting of an explicit sheath without tendon-concrete confinement (S) and three no-sheath variants with different confinement levels (X, N, A). One-way beams and two-way panels were analyzed, and panel blast responses were validated against experimental results. In both beams and panels, average initial stress levels were similar across models, through local More >

  • Open Access

    ARTICLE

    An Integrated DNN-FEA Approach for Inverse Identification of Passive, Heterogeneous Material Parameters of Left Ventricular Myocardium

    Zhuofan Li1, Daniel H. Pak2, James S. Duncan2, Liang Liang3, Minliang Liu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.073757 - 29 January 2026

    Abstract Patient-specific finite element analysis (FEA) is a promising tool for noninvasive quantification of cardiac and vascular structural mechanics in vivo. However, inverse material property identification using FEA, which requires iteratively solving nonlinear hyperelasticity problems, is computationally expensive which limits the ability to provide timely patient-specific insights to clinicians. In this study, we present an inverse material parameter identification strategy that integrates deep neural networks (DNNs) with FEA, namely inverse DNN-FEA. In this framework, a DNN encodes the spatial distribution of material parameters and effectively regularizes the inverse solution, which aims to reduce susceptibility to local optima… More >

  • Open Access

    ARTICLE

    A Hybrid Experimental-Numerical Framework for Identifying Viscoelastic Parameters of 3D-Printed Polyurethane Samples: Cyclic Tests, Creep/Relaxation and Inverse Finite Element Analysis

    Nikita Golovkin1,2, Olesya Nikulenkova3, Vsevolod Pobezhimov1, Alexander Nesmelov1, Sergei Chvalun1, Fedor Sorokin3, Arthur Krupnin1,3,*

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073161 - 12 January 2026

    Abstract This study presents and verifies a hybrid methodology for reliable determination of parameters in structural rheological models (Zener, Burgers, and Maxwell) describing the viscoelastic behavior of polyurethane specimens manufactured using extrusion-based 3D printing. Through comprehensive testing, including cyclic compression at strain rates ranging from 0.12 to 120 mm/min (0%–15% strain) and creep/relaxation experiments (10%–30% strain), the lumped parameters were independently determined using both analytical and numerical solutions of the models’ differential equations, followed by cross-verification in additional experiments. Numerical solutions for creep and relaxation problems were obtained using finite element analysis, with the three-parameter Mooney-Rivlin… More > Graphic Abstract

    A Hybrid Experimental-Numerical Framework for Identifying Viscoelastic Parameters of 3D-Printed Polyurethane Samples: Cyclic Tests, Creep/Relaxation and Inverse Finite Element Analysis

  • Open Access

    PROCEEDINGS

    Spatio-Temporal Prediction of Curing-Induced Deformation for Composite Structures Using a Hybrid CNN-LSTM and Finite Element Approach

    Xiangru He1, Ying Deng1, Zefu Li1, Jie Zhi1,2, Yonglin Chen1,2, Weidong Yang1,2,3,*, Yan Li1,2,3,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012395

    Abstract Coordinated control of structural accuracy and mechanical properties is the key to composites manufacturing and the prerequisite for aerospace applications. In particular, accurate and efficient prediction of curing-induced deformation (CID) is of vital importance for fiber reinforced polymer composites quality control. In this study, we explored a novel spatio-temporal prediction model, which incorporates the finite element method with a deep learning framework to efficiently forecast the curing-induced deformation evolution of composite structures. Herein, we developed an integrated convolutional neural network (CNN) and long short-term memory (LSTM) network approach to capture both the space-distributed and time-resolved… More >

  • Open Access

    ARTICLE

    Fatigue Assessment of Large-Diameter Stiffened Tubular Welded Joints Using Effective Notch Strain and Structural Strain Approach

    Dan Jiao1,2, Yan Dong1,2,*, Hao Xie3, Yordan Garbatov4,*, Jiancheng Liu5, Hui Zhang5

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3197-3216, 2025, DOI:10.32604/cmes.2025.074239 - 23 December 2025

    Abstract Floating offshore wind turbine platforms typically use stiffened tubular joints at the connections between columns and braces. These joints are prone to fatigue due to complex weld geometries and the additional stress concentrations caused by the stiffeners. Existing hot-spot stress approaches may be inadequate for analysing these joints because they do not simultaneously address weld-toe and weld-root failures. To address these limitations, this study evaluates the fatigue strength of stiffened tubular joints using the effective notch strain approach and the structural strain approach. Both methods account for fatigue at the weld toe and weld root… More >

  • Open Access

    ARTICLE

    Finite Element Analysis of the Influence of End Grouting Defects in Grouted Sleeve on the Structural Performance of Precast Reinforced Concrete Columns

    Shuoting Xiao1,*, Nikita Igorevich Fomin1, Kirill Anatolyevich Khvostunkov2, Chong Liu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 2821-2847, 2025, DOI:10.32604/cmes.2025.071961 - 23 December 2025

    Abstract Precast concrete structures have gained popularity due to their advantages. However, the seismic performance of their connection joints remains an area of ongoing research and improvement. Grouted Sleeve Connection (GSC) offers a solution for connecting reinforcements in precast components, but their vulnerability to internal defects, such as construction errors and material variability, can significantly impact performance. This article presents a finite element analysis (FEA) to evaluate the impact of internal grouting defects in GSC on the structural performance of precast reinforced concrete columns. Four finite element models representing GSC with varying degrees of defects were… More > Graphic Abstract

    Finite Element Analysis of the Influence of End Grouting Defects in Grouted Sleeve on the Structural Performance of Precast Reinforced Concrete Columns

  • Open Access

    PROCEEDINGS

    Maximizing Sound Absorption in 3D Printed Lattice Structures

    Xinwei Li*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-2, 2025, DOI:10.32604/icces.2025.010448

    Abstract Advances in 3D printing have unlocked new opportunities for developing lattice structures tailored for enhanced sound absorption. This work explores methods to maximize sound absorption in microlattice designs by introducing heterogeneity, leveraging dual dissipation mechanisms, and reshaping cavity wall geometries. We present a multilayered Helmholtz resonance (MLHR) analytical model to predict and guide the design of broadband sound-absorbing lattices [1]. Through structural optimization, we demonstrate that heterogeneous microlattices with varying pore and cavity morphologies achieve broadband absorption [2–4], with experimentally validated absorption coefficients exceeding 0.75 across a wide frequency range from 1000 to 6300 Hz.
    Beyond… More >

  • Open Access

    PROCEEDINGS

    An Advanced Design Optimization and Modeling Method of Type IV Composite Hydrogen Cylinder with Experimental Validations

    Ruiqi Li1,2, Hongda Chen1,2,*, Haixiao Hu1,2,3, Yu Zhang2, Shuxin Li1,2,3,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.011327

    Abstract Composite hydrogen cylinders are recognized as the most efficient solution for storage and transportation of high-pressure gaseous hydrogen. The plastic-lined and fully carbon fiber-wound Type IV composite cylinders are one of the most attractive advanced hydrogen storage technologies. The design of carbon fiber reinforcements on the dome section of the cylinder is one of the critical challenges in the development of Type IV composite hydrogen cylinders. Conventional design approaches ignored the variable angle of fiber-wound layers and the influence of fiber angle and thickness variations in the dome section on design and often result in… More >

  • Open Access

    ARTICLE

    Fatigue Life Prediction Using Finite Element Hot-Spot and Notch Approaches: Strain-Based FAT Curves Proposal for Ti6Al4V Joints

    Pasqualino Corigliano*, Giulia Palomba

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1935-1955, 2025, DOI:10.32604/cmes.2025.067094 - 31 August 2025

    Abstract Experimental tests are essential for evaluating S-N curves and assessing the fatigue life of welded joints. However, in the case of complex geometries, experimental tests often cannot provide the necessary stress-strain data for specific materials and welded joints. Therefore, finite element (FE) analyses are frequently utilized to assess fatigue behavior in complex geometries and address the discontinuities induced by welding processes. In this study, the fatigue properties of titanium welded joints, produced using an innovative laser source and welded without the use of filler materials, were analyzed through numerical methods. Two different FE methods were… More >

  • Open Access

    ARTICLE

    Impact of Stiffener Configuration on the Structural Performance of Orthotropic Steel Bridge Deck

    Pinyi Zhao1,*, Yu Qin2, Bo Wu3, Yu Chen1, Xingyu Chen1, Jinsheng Wen4

    Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1367-1386, 2025, DOI:10.32604/sdhm.2025.067558 - 05 September 2025

    Abstract The impact of longitudinal stiffener configurations on the structural performance of orthotropic steel bridge decks (OSD) was systematically investigated, with emphasis on U-shaped, T-shaped, and rectangular ribs. Finite element analysis was employed to evaluate deformation and stress distribution under three critical loading scenarios: vertical uniform load, vertical eccentric load, and lateral uniform load. Equivalent models ensuring identical steel usage, moment of inertia, and centroid alignment were established to compare five stiffener configurations. Results demonstrate that U-rib configurations exhibit superior performance in controlling local displacements and minimizing stress concentrations. Under eccentric loading, U-ribs significantly reduce deck… More >

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