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  • Open Access

    PROCEEDINGS

    Comparative Study on Thermodynamic Models of Liquid Hydrogen Storage Tanks

    Yanfeng Li1, Dongxu Han1,*, Jinhui Lin2, Qingwei Zhai3, Xiaohua Wu1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.011547

    Abstract Liquid hydrogen (LH2), with its high volumetric energy density and high purity, has become a promising choice for hydrogen storage. As the demand for hydrogen as a clean energy source continues to grow, the importance of liquid hydrogen in energy storage is becoming increasingly significant. However, the safe operation and storage of liquid hydrogen face several challenges, particularly the self-pressurization process within storage tanks. During storage, heat ingress into the tank causes the evaporation of liquid hydrogen, leading to a continuous rise in vapor pressure, resulting in self-pressurization. Accurately predicting this process is crucial for… More >

  • Open Access

    ARTICLE

    Thermodynamic Modeling of the Ti-Hf-Zr-Nb-Ta Refractory High Entropy Alloy and Its Application in Analyzing Phase Stability

    Jian Ding1, Jinghan Gao1, Enkuan Zhang1, Ying Tang2,*, Lijun Zhang3,*, Xingchuan Xia1

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 539-556, 2025, DOI:10.32604/cmc.2025.067266 - 29 August 2025

    Abstract Ti-Hf-Zr-Nb-Ta refractory high-entropy alloys (RHEAs) exhibiting a dual-phase structure resulting from martensitic transformation offer significant ductility enhancement, but their design requires precise control of the phase stability between body-centred cubic (BCC) and hexagonal close-packed (HCP) phases. This study establishes a comprehensive thermodynamic database for the Ti-Hf-Zr-Nb-Ta system using the 3rd-generation Calculation of Phase Diagrams (CALPHAD) model. The reliability of the database is validated by the strong agreement between the calculated thermodynamic properties and phase equilibria and the experimental data for pure element, as well as for binary and ternary systems. Utilizing this database, the phase… More >

  • Open Access

    ARTICLE

    Parameters Estimation of Modified Triple Diode Model of PSCs Considering Charge Accumulations and Electric Field Effects Using Puma Optimizer

    Amlak Abaza1, Ragab A. El-Sehiemy1,6, Mona Gafar2,3,*, Ahmed Bayoumi4,5

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 723-745, 2025, DOI:10.32604/cmes.2025.059625 - 11 April 2025

    Abstract Promoting the high penetration of renewable energies like photovoltaic (PV) systems has become an urgent issue for expanding modern power grids and has accomplished several challenges compared to existing distribution grids. This study measures the effectiveness of the Puma optimizer (PO) algorithm in parameter estimation of PSC (perovskite solar cells) dynamic models with hysteresis consideration considering the electric field effects on operation. The models used in this study will incorporate hysteresis effects to capture the time-dependent behavior of PSCs accurately. The PO optimizes the proposed modified triple diode model (TDM) with a variable voltage capacitor… More >

  • Open Access

    ARTICLE

    Reinforcement Learning Model for Energy System Management to Ensure Energy Efficiency and Comfort in Buildings

    Inna Bilous1, Dmytro Biriukov1, Dmytro Karpenko2, Tatiana Eutukhova2, Oleksandr Novoseltsev2,*, Volodymyr Voloshchuk1

    Energy Engineering, Vol.121, No.12, pp. 3617-3634, 2024, DOI:10.32604/ee.2024.051684 - 22 November 2024

    Abstract This article focuses on the challenges of modeling energy supply systems for buildings, encompassing both methods and tools for simulating thermal regimes and engineering systems within buildings. Enhancing the comfort of living or working in buildings often necessitates increased consumption of energy and material, such as for thermal upgrades, which consequently incurs additional economic costs. It is crucial to acknowledge that such improvements do not always lead to a decrease in total pollutant emissions, considering emissions across all stages of production and usage of energy and materials aimed at boosting energy efficiency and comfort in… More > Graphic Abstract

    Reinforcement Learning Model for Energy System Management to Ensure Energy Efficiency and Comfort in Buildings

  • Open Access

    PROCEEDINGS

    A Multiscale Dynamic Model of Cell–Substrate Interfaces

    Huiyan Liang1, Wei Fang1, Xiqiao Feng1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012719

    Abstract Cell–extracellular matrix (ECM) interactions play a pivotal role in many functions of cells, for example, sensing, signaling, migration, and gene expression. The spatial-temporal dynamic evolution of cell–substrate adhesions involves complicated mechano-bio-chemical coupling mechanisms of integrin, adaptor and signaling proteins, and the interplay between the cytoskeleton and ECM as well. In this paper, we establish a multiscale dynamic model of cell–substrate interfaces considering intermolecular force transmission pathways, i.e., intra- and extra-cellular bond dynamics, and mechanochemical coupling regulations. To illustrate its applications, this model is used to reproduce several adhesion-related experimental phenomena of cells, including substrate rigidity… More >

  • Open Access

    ARTICLE

    The Effect of Key Nodes on the Malware Dynamics in the Industrial Control Network

    Qiang Fu1, Jun Wang1,*, Changfu Si1, Jiawei Liu2

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 329-349, 2024, DOI:10.32604/cmc.2024.048117 - 25 April 2024

    Abstract As industrialization and informatization become more deeply intertwined, industrial control networks have entered an era of intelligence. The connection between industrial control networks and the external internet is becoming increasingly close, which leads to frequent security accidents. This paper proposes a model for the industrial control network. It includes a malware containment strategy that integrates intrusion detection, quarantine, and monitoring. Based on this model, the role of key nodes in the spread of malware is studied, a comparison experiment is conducted to validate the impact of the containment strategy. In addition, the dynamic behavior of… More >

  • Open Access

    ARTICLE

    Sub-Homogeneous Peridynamic Model for Fracture and Failure Analysis of Roadway Surrounding Rock

    Shijun Zhao1, Qing Zhang2, Yusong Miao1, Weizhao Zhang3, Xinbo Zhao1, Wei Xu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3167-3187, 2024, DOI:10.32604/cmes.2023.045015 - 11 March 2024

    Abstract The surrounding rock of roadways exhibits intricate characteristics of discontinuity and heterogeneity. To address these complexities, this study employs non-local Peridynamics (PD) theory and reconstructs the kernel function to represent accurately the spatial decline of long-range force. Additionally, modifications to the traditional bond-based PD model are made. By considering the micro-structure of coal-rock materials within a uniform discrete model, heterogeneity characterized by bond random pre-breaking is introduced. This approach facilitates the proposal of a novel model capable of handling the random distribution characteristics of material heterogeneity, rendering the PD model suitable for analyzing the deformation… More >

  • Open Access

    PROCEEDINGS

    A Modified Rate-Dependent Peridynamic Model with Rotation Effect for Dynamic Mechanical Behavior of Ceramic Materials

    Yaxun Liu1,2, Lisheng Liu1,2,*, Hai Mei1,2, Qiwen Liu1,2, Xin Lai1,2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09007

    Abstract As a mathematical expression of the dynamic mechanical behavior, the constitutive model plays an indispensable role in numerical simulations of ceramic materials. The current bond-based peridynamic constitutive models can accurately describe the dynamic mechanical behavior of partial ceramic materials under impact loading, however, the predicted value of the Poisson’s ratio is 0.25, which is not true for most of the known ceramic materials. Herein, based on the existing bond-based peridynamic constitutive model, the current study utilizes the description of tangential bond force and considers the influence of bond force on rotation to accurately predict the… More >

  • Open Access

    REVIEW

    Use of Statistical Tools for Comparison between Different Analytical and Semi-Empirical Models of the Bleve Fireball

    Abderraouf Guelzim1,2,*, Baraka Achraf Chakir3, Aziz Ettahir1, Anas Mbarki1,*

    Frontiers in Heat and Mass Transfer, Vol.21, pp. 125-140, 2023, DOI:10.32604/fhmt.2023.041832 - 30 November 2023

    Abstract The Bleve is an explosion involving both the rapid vaporization of liquid and the rapid expansion of vapor in a vessel. The loss of containment results in a large fireball if the stored chemical is flammable. In order to predict the damage generated by a Bleve, several authors propose analytical or semi-empirical correlations, which consist in predicting the diameter and the lifetime of the fireballs according to the quantity of fuel. These models are based on previous experience, which makes their validity arbitrary in relation to the initial conditions and the nature of the product… More > Graphic Abstract

    Use of Statistical Tools for Comparison between Different Analytical and Semi-Empirical Models of the Bleve Fireball

  • Open Access

    ARTICLE

    Dynamic Modeling and Sensitivity Analysis for an MEA-Based CO2 Capture Absorber

    Hongwei Guan1, Lingjian Ye2,3,*, Yurun Wang2, Feifan Shen4, Yuchen He3

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3535-3550, 2023, DOI:10.32604/iasc.2023.036399 - 15 March 2023

    Abstract The absorber is the key unit in the post-combustion monoethanolamine (MEA)-based carbon dioxide (CO2) capture process. A rate-based dynamic model for the absorber is developed and validated using steady-state experimental data reported in open literature. Sensitivity analysis is performed with respect to important model parameters associated with the reaction, mass transport and physical property relationships. Then, a singular value decomposition (SVD)-based subspace parameter estimation method is proposed to improve the model accuracy. Finally, dynamic simulations are carried out to investigate the effects of the feed rate of lean MEA solution and the flue inlet conditions. Simulation More >

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