Mianyue Yang^1,*, Huasheng Sun¹, Weigao Sheng²

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2749-2761, 2025, DOI:10.32604/cmc.2025.068009 - 23 September 2025

Abstract The shear pin of the friction pendulum bearing (FPB) can be made of 40Cr steel. In conceptual design, the optimal cut-off point of the shear pin is predetermined, guiding the design of bridges isolated by FPBs to maximize their isolation performance. Current researches on the shear pins are mainly based on linear elastic models, neglecting their plasticity, damage, and fracture mechanical properties. To accurately predict its cutoff behavior, the elastic-plastic degradation model of 40Cr steel is indeed calibrated. For this purpose, the Ramberg-Osgood model, the Bao-Wierzbicki damage initiation criterion, and the linear damage evolution criterion… More >

Chuan Yuan¹, Chang Liu^2,3, Shijun Chen¹, Weiting Xu^2,3, Jing Gou¹, Ke Xu^2,3, Zhengbo Li^4,*, Youbo Liu⁴

Energy Engineering, Vol.122, No.9, pp. 3573-3593, 2025, DOI:10.32604/ee.2025.067785 - 26 August 2025

Abstract The increasing penetration of second-life battery energy storage systems (SLBESS) in power grids presents substantial challenges to system operation and control due to the heterogeneous characteristics and uncertain degradation patterns of repurposed batteries. This paper presents a novel model-free adaptive voltage control-embedded dung beetle-inspired heuristic optimization algorithm for optimal SLBESS capacity configuration and power dispatch. To simultaneously address the computational complexity and ensure system stability, this paper develops a comprehensive bilevel optimization framework. At the upper level, a dung beetle optimization algorithm determines the optimal SLBESS capacity configuration by minimizing total lifecycle costs while incorporating… More >

Jie Lin^*, Hongchi Shen, Tingting Pei, Yan Wu

Energy Engineering, Vol.122, No.6, pp. 2449-2463, 2025, DOI:10.32604/ee.2025.065163 - 29 May 2025

Abstract This study proposes a novel visual maintenance method for photovoltaic (PV) modules based on a two-stage Wiener degradation model, addressing the limitations of traditional PV maintenance strategies that often result in insufficient or excessive maintenance. The approach begins by constructing a two-stage Wiener process performance degradation model and a remaining life prediction model under perfect maintenance conditions using historical degradation data of PV modules. This enables accurate determination of the optimal timing for post-failure corrective maintenance. To optimize the maintenance strategy, the study establishes a comprehensive cost model aimed at minimizing the long-term average cost… More >

Xueliang Wang¹, Qiangang Xu¹, Xiuxin Wang¹, Junhui Guo², Wancheng Cao¹, Chun Xiao^3,*

Journal of Renewable Materials, Vol.8, No.5, pp. 565-577, 2020, DOI:10.32604/jrm.2020.09020 - 29 April 2020

Abstract An accelerated decay test and a natural decay test were conducted synchronically to explore the strength degradation of decaying wood members under long-term exposure to natural environment. A natural decay test was carried out to measure the bending strength, compressive strength parallel to grain and modulus of elasticity of the wood members, with 6 groups of specimens decayed in natural environment for 3 to 18 months respectively. To compare with corresponding decay test, in which 6 other groups of specimens were measured under accelerated conditions. The experimental data collected were evaluated by Pearson productmoment for… More >

Tingting Yang¹, Shuwen Jia¹, Hao Ma^{2, *}

CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1249-1258, 2020, DOI:10.32604/cmc.2020.05777

Abstract Underwater imaging is widely used in ocean, river and lake exploration, but it is affected by properties of water and the optics. In order to solve the lower-resolution underwater image formed by the influence of water and light, the image super-resolution reconstruction technique is applied to the underwater image processing. This paper addresses the problem of generating super-resolution underwater images by convolutional neural network framework technology. We research the degradation model of underwater images, and analyze the lower-resolution factors of underwater images in different situations, and compare different traditional super-resolution image reconstruction algorithms. We further More >

Kun Peng¹, Xinyang Cui¹, Aike Qiao^1,*, Makoto Ohta², Koji Shimoyama², Yongliang Mu³

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 53-53, 2019, DOI:10.32604/mcb.2019.05729

Abstract Biodegradable stents which can avoid risks caused by incompatibility between artery and permanent stents are attracting much interests. However, biodegradable stents have not been extensively applied in clinical therapy because of their insufficient scaffold performance as a result of poor Young’s Modulus of biodegradable materials and weaken structures in degradation process. In this study, a patented stent and a common stent were simulated to degrade in a 40% stenotic vesel based on a corrosion model involving uniform corrosion and stress corrosion. In the degradation process, the scaffold performance of the two stents and their functionality… More >