Zhenhao Zhang^1,*, Yong Tian^1,2, Yuanzhi Cao¹, Tao Chen¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.010846

Abstract Accurate calculation of the failure probability of structural components was crucial for full-probability level structural design. However, current design codes typically use uniform design factors, which fail to accurately reflect the true failure probability of structures. In this paper, based on the direct probability integral method (DPIM) and combining different design parameter iterative calculation strategies, the full-probabilistic design methods for single-parameter and multi-parameter were proposed, and their accuracy advantages in structural reliability design were verified by engineering examples. Furthermore, this study compares the partial factor method, the design value method, the direct probability design method,… More >

N. F. Rozi^a, L. Hasnimulyati^a, A. Azuraida^b,*

Chalcogenide Letters, Vol.22, No.1, pp. 57-76, 2025, DOI:10.15251/CL.2025.221.57

Abstract This paper studies on the theoretical ionizing radiation shielding parameter for the glass of {[(TeO₂)_0.7 (B₂O₃)_0.3]_0.7 [ZnO]_0.3}_1-x {CeO₂}_x by using two software; WinXCOM and PhyX software, which investigate the ability of cerium oxide. The investigation revealed that the 5CeZBTe glass sample, which included the greatest concentration of CeO₂ (0.05 mol), showed the greatest linear attenuation coefficient (LAC) and least values in Half Value Layer (HVL) and Mean Free Path (MFP). These results suggest that 5CeZBTe glass has significant potential as an alternative to traditional lead-based radiation shielding, offering a safer environment for both patients and healthcare professionals in More >

Yujie Li¹, Zhongju Feng^1,*, Fuchun Wang¹, Jiang Guan², Xiaoqian Ma³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1549-1573, 2025, DOI:10.32604/cmes.2025.064785 - 30 May 2025

Abstract To study the dynamic response rules of pile foundations of mega-bridges over faults in strong seismic areas, a finite element model of the pile foundation-soil-fault interaction of the Haiwen Bridge is established. The 0.2–0.6 g peak acceleration of the 5010 seismic waves is input to study the effect of the seismic wave of different intensities and the distance changes between the fault and the pile foundation on the dynamic response of the pile body. The results show that the soil layer covering the bedrock amplifies the peak pile acceleration, and the amplifying effect decreases with… More >

Shanshan Tang^1,2,*, Zhanbin Li^3,4, Xubin Zhu^1,2, Peng Li³, Zhaoyang Feng^1,2, Guoliang Yang^1,2, Huake Chang^1,2, Zefeng Che^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.4, pp. 819-831, 2025, DOI:10.32604/fdmp.2025.057605 - 06 May 2025

Abstract The particle size distribution plays a crucial role in the transportation and deposition of eroded sediments. Gaining insights into the related sorting mechanism can significantly enhance our understanding of such processes. In this study, sand-covered slopes were examined. A controlled indoor rainfall simulation was conducted on loess slopes with a 12° incline and a rainfall intensity of 1.5 mm/min. These slopes were then covered with sand layers of varying thicknesses—0.5, 1.0, and 1.5 cm—to observe their effects. The findings have revealed that as the thickness of the sand cover increases, the content of sediment particles… More >

Taha Yacine Trad^1,*, Kheireddine Choutri¹, Mohand Lagha¹, Souham Meshoul², Fouad Khenfri³, Raouf Fareh⁴, Hadil Shaiba⁵

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4757-4786, 2024, DOI:10.32604/cmc.2024.055634 - 19 December 2024

Abstract The popularity of quadrotor Unmanned Aerial Vehicles (UAVs) stems from their simple propulsion systems and structural design. However, their complex and nonlinear dynamic behavior presents a significant challenge for control, necessitating sophisticated algorithms to ensure stability and accuracy in flight. Various strategies have been explored by researchers and control engineers, with learning-based methods like reinforcement learning, deep learning, and neural networks showing promise in enhancing the robustness and adaptability of quadrotor control systems. This paper investigates a Reinforcement Learning (RL) approach for both high and low-level quadrotor control systems, focusing on attitude stabilization and position… More >

Haojie Yang, Xiang Wen, Peng Geng^*

Journal on Artificial Intelligence, Vol.6, pp. 283-300, 2024, DOI:10.32604/jai.2024.056303 - 18 October 2024

Abstract To enhance the rationality of the layout of electric vehicle charging stations, meet the actual needs of users, and optimise the service range and coverage efficiency of charging stations, this paper proposes an optimisation strategy for the layout of electric vehicle charging stations that integrates Mini Batch K-Means and simulated annealing algorithms. By constructing a circle-like service area model with the charging station as the centre and a certain distance as the radius, the maximum coverage of electric vehicle charging stations in the region and the influence of different regional environments on charging demand are… More >

Liang Zeng^1,2, Junyang Shi¹, Yanyan Li¹, Shanshan Wang^1,2,*, Weigang Li³

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 375-392, 2024, DOI:10.32604/cmc.2023.045803 - 30 January 2024

Abstract The job shop scheduling problem is a classical combinatorial optimization challenge frequently encountered in manufacturing systems. It involves determining the optimal execution sequences for a set of jobs on various machines to maximize production efficiency and meet multiple objectives. The Non-dominated Sorting Genetic Algorithm III (NSGA-III) is an effective approach for solving the multi-objective job shop scheduling problem. Nevertheless, it has some limitations in solving scheduling problems, including inadequate global search capability, susceptibility to premature convergence, and challenges in balancing convergence and diversity. To enhance its performance, this paper introduces a strengthened dominance relation NSGA-III… More >

Sicheng Zhu, Dingli Liu^*, Weijun Liu, Ying Li, Tian Zhou

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 483-513, 2024, DOI:10.32604/cmes.2023.044809 - 30 December 2023

Abstract In recent years, frequent fire disasters have led to enormous damage in China. Effective firefighting rescues can minimize the losses caused by fires. During the rescue processes, the travel time of fire trucks can be severely affected by traffic conditions, changing the effective coverage of fire stations. However, it is still challenging to determine the effective coverage of fire stations considering dynamic traffic conditions. This paper addresses this issue by combining the traveling time calculation model with the effective coverage simulation model. In addition, it proposes a new index of total effective coverage area (TECA)… More >

Tianyu Zhou¹, Liang Hao¹, Xin Xu^2,3, Meng Si^2,3, Lian Zhang^2,3,*

Energy Engineering, Vol.121, No.1, pp. 145-168, 2024, DOI:10.32604/ee.2023.042798 - 27 December 2023

Abstract This paper discussed the experimental results of the performance of an organic Rankine cycle (ORC) system with an ultra-low temperature heat source. The low boiling point working medium R134a was adopted in the system. The simulated heat source temperature (SHST) in this work was set from 39.51°C to 48.60°C by the simulated heat source module. The influence of load percentage of simulated heat source (LPSHS) between 50% and 70%, the rotary valve opening (RVO) between 20% and 100%, the resistive load between 36 Ω and 180 Ω or the no-load of the generator, as well… More >

Caixia Tao, Shize Yang^*, Taiguo Li

Energy Engineering, Vol.121, No.1, pp. 187-201, 2024, DOI:10.32604/ee.2023.042421 - 27 December 2023

Abstract With the current integration of distributed energy resources into the grid, the structure of distribution networks is becoming more complex. This complexity significantly expands the solution space in the optimization process for network reconstruction using intelligent algorithms. Consequently, traditional intelligent algorithms frequently encounter insufficient search accuracy and become trapped in local optima. To tackle this issue, a more advanced particle swarm optimization algorithm is proposed. To address the varying emphases at different stages of the optimization process, a dynamic strategy is implemented to regulate the social and self-learning factors. The Metropolis criterion is introduced into… More >