Josef Walek^*, Petr Lichý

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 3135-3153, 2025, DOI:10.32604/cmes.2025.059889 - 03 March 2025

Abstract Plastometric experiments, supplemented with numerical simulations using the finite element method (FEM), can be advantageously used to characterize the deformation behavior of metallic materials. The accuracy of such simulations predicting deformation behaviors of materials is, however, primarily affected by the applied rheology law. The presented study focuses on the characterization of the deformation behavior of AISI 1045 type carbon steel, widely used e.g., in automotive and power engineering, under extreme conditions (i.e., high temperatures, strain rates). The study consists of two main parts: experimentally analyzing the flow stress development of the steel under different thermomechanical… More >

Cheng Deng^1,2, Hui Zheng^2,*, Liangyong Gong¹, Rongping Zhang¹, Mengqi Wang³

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2147-2172, 2025, DOI:10.32604/cmes.2025.059750 - 27 January 2025

Abstract Since the plasticity of soil and the irregular shape of the excavation, the efficiency and stability of the traditional local radial basis function (RBF) collocation method (LRBFCM) are inadequate for analyzing three-dimensional (3D) deformation of deep excavation. In this work, the technique known as the direct method, where the local influence nodes are collocated on a straight line, is introduced to optimize the LRBFCM. The direct method can improve the accuracy of the partial derivative, reduce the size effect caused by the large length-width ratio, and weaken the influence of the shape parameters on the More >

Wenpeng Li¹, Zhenghe Liu¹, Yujing Ma¹, Zhuxuan Meng^2,*, Ji Ma³, Weisong Liu², Vinh Phu Nguyen⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1515-1543, 2025, DOI:10.32604/cmes.2025.059235 - 27 January 2025

Abstract This paper presents a framework for constructing surrogate models for sensitivity analysis of structural dynamics behavior. Physical models involving deformation, such as collisions, vibrations, and penetration, are developed using the material point method. To reduce the computational cost of Monte Carlo simulations, response surface models are created as surrogate models for the material point system to approximate its dynamic behavior. An adaptive randomized greedy algorithm is employed to construct a sparse polynomial chaos expansion model with a fixed order, effectively balancing the accuracy and computational efficiency of the surrogate model. Based on the sparse polynomial More >

Petr Opěla^1,*, Josef Walek^1,*, Jaromír Kopeček²

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 713-732, 2025, DOI:10.32604/cmes.2024.055219 - 17 December 2024

Abstract In engineering practice, it is often necessary to determine functional relationships between dependent and independent variables. These relationships can be highly nonlinear, and classical regression approaches cannot always provide sufficiently reliable solutions. Nevertheless, Machine Learning (ML) techniques, which offer advanced regression tools to address complicated engineering issues, have been developed and widely explored. This study investigates the selected ML techniques to evaluate their suitability for application in the hot deformation behavior of metallic materials. The ML-based regression methods of Artificial Neural Networks (ANNs), Support Vector Machine (SVM), Decision Tree Regression (DTR), and Gaussian Process Regression More >

Yuanyuan Tian^1,2, Kun Zhou^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013372

Abstract Fabric-based materials have demonstrated promise for high-performance wearable applications but are currently restricted by their deficient mechanical properties. Here, we leverage the design freedom offered by additive manufacturing and a novel interlocking pattern to for the first time fabricate a dual-faced chain mail structure consisting of three-dimensional re-entrant unit cells. The flexible structured fabric demonstrates high specific energy absorption and specific strength of up to 1530 J/kg and 5900 N·m/kg, respectively, together with an excellent recovery ratio of ~80%, thereby overcoming the strength–recoverability trade-off. The designed dual-faced structured fabric compares favorably against a wide range More >

Mingchao Liu^1,2,*, Kexin Guo², Marc Suñé³, K Jimmy Hsia², Dominic Vella³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.011450

Abstract The mechanics of slender elastic sheets poses a rich collection of geometrically nonlinear behaviours [1,2]. Here, we present a new mode of global deformation induced by uniaxial stretching of an elastic sheet. We show that a global buckling in tension can occur and suggest it may be an organizing principle behind previous observations. More >

Ken-ichi Saitoh^1,*, Makoto Watanabe²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012624

Abstract Natural nanofibers, e.g., cellulose nanofiber (CNF) of plant, collagen fibril in human body and fibroin fiber in spider silk, show interesting and distinctive atomistic mechanisms in deformation under mechanical loading as well as exhibition of extraordinary strength. These fibers are comprising more larger bulk and wire materials by constructing structural hierarchy. However, the initiation of unique behavior of these materials largely originates from atomic-scale and chemical energetics in loading. Besides, the experimental approach is often difficult and is too limited to reveal the basic mechanism. Therefore, it is crucial to clarify atomic behavior of these… More >

Isamu Riku^1,*, Arisa Fukatsu¹, Koji Mimura¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011356

Abstract Pt-DNA hydrogel is formed by cross-linking the DNA strands with Pt-ions and the resultant three-dimensionally cross-linked DNA strands’ network is expected be used as a biocompatible polymeric carrier, i.e. the drug delivery platform for in situ tissue repair due to its high toughness. On the other hand, as another essential qualification for the drug delivery platform, the stability of the microstructure of the platform is indispensable.
To evaluate the stability of the microstructure of Pt-DNA hydrogel, in this study, we at first employ the nonaffine molecular chains’ network model to reproduce the experimental results of the More >

Yang Chen¹, Baobin Xie¹, Weizheng Lu¹, Jia Li^1,*, Qihong Fang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.011624

Abstract In order to accurately predict and evaluate the mechanical properties of multi-principal element alloys (MPEAs), some new models and simulation methods need to be developed to solve the problems caused by its unique natural characteristics, such as severe lattice distortion. The existing models are based on the development of low concentration alloys, and cannot be well applied to MPEAs. Here, we develop i) the random field theory informed discrete dislocation dynamics simulations based on high-resolution transmission electron microscopy, to systematically clarify the role of heterogeneous lattice strain on the complex interactions between the dislocation loop… More >

Yuanzhen Hou¹, YinBo Zhu¹, Heng-an Wu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.011353

Abstract Traditional materials are emerging increasingly severe problems such as environmental pollution, non-renewability, and resource waste. As the most abundant natural biomass in nature, nanocellulose materials are expected to become a new generation of green, biodegradable, high-performance structural materials and contribute to sustainable development. Starting from the intrinsic relationship between hydrogen bonding network and microstructure deformation in nanocellulose, we performs the bottom-up multiscale mechanics methods, combing theoretical modeling, experimental characterization and material preparation, to reveal the physical mechanism and key characteristic parameters of the microstructure-regulated mechanical behaviors of nanocellulose materials, further establishing the cross-scale relationship between… More >