Yoshihiro Kanno^1,*, Izuru Takewaki²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 115-152, 2025, DOI:10.32604/cmes.2025.061551 - 11 April 2025

Abstract Response analysis of structures involving non-probabilistic uncertain parameters can be closely related to optimization. This paper provides a review on optimization-based methods for uncertainty analysis, with focusing attention on specific properties of adopted numerical optimization approaches. We collect and discuss the methods based on nonlinear programming, semidefinite programming, mixed-integer programming, mathematical programming with complementarity constraints, difference-of-convex programming, optimization methods using surrogate models and machine learning techniques, and metaheuristics. As a closely related topic, we also overview the methods for assessing structural robustness using non-probabilistic uncertainty modeling. We conclude the paper by drawing several remarks through More >

Anandhavalli Muniasamy^1,*, Ashwag Alasmari²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 569-592, 2025, DOI:10.32604/cmes.2025.060484 - 11 April 2025

Abstract The effective and timely diagnosis and treatment of ocular diseases are key to the rapid recovery of patients. Today, the mass disease that needs attention in this context is cataracts. Although deep learning has significantly advanced the analysis of ocular disease images, there is a need for a probabilistic model to generate the distributions of potential outcomes and thus make decisions related to uncertainty quantification. Therefore, this study implements a Bayesian Convolutional Neural Networks (BCNN) model for predicting cataracts by assigning probability values to the predictions. It prepares convolutional neural network (CNN) and BCNN models. More > Graphic Abstract

Vidyalakshmi G¹, S Gopikrishnan^2,*, Wadii Boulila³, Anis Koubaa³, Gautam Srivastava^4,5

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 51-113, 2025, DOI:10.32604/cmes.2025.057788 - 11 April 2025

Abstract Cyber-Physical Systems (CPS) represent an integration of computational and physical elements, revolutionizing industries by enabling real-time monitoring, control, and optimization. A complementary technology, Digital Twin (DT), acts as a virtual replica of physical assets or processes, facilitating better decision making through simulations and predictive analytics. CPS and DT underpin the evolution of Industry 4.0 by bridging the physical and digital domains. This survey explores their synergy, highlighting how DT enriches CPS with dynamic modeling, real-time data integration, and advanced simulation capabilities. The layered architecture of DTs within CPS is examined, showcasing the enabling technologies and… More >

Yuanyin Song¹, Wenwei Wang^2,*

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 549-574, 2025, DOI:10.32604/sdhm.2024.055382 - 03 April 2025

Abstract To meticulously dissect the cracking issue in the transverse diaphragm concrete, situated at the anchor point of a colossal large-span, single cable plane cable-stayed bridge, this research paper adopts an innovative layered modeling analysis methodology for numerical simulations. The approach is structured into three distinct layers, each tailored to address specific aspects of the cracking phenomenon. The foundational first layer model operates under the assumption of linear elasticity, adhering to the Saint Venant principle. It narrows its focus to the crucial zone between the Bp20 transverse diaphragm and the central axis of pier 4’s support,… More >

Chen Chen^1,2, Fengqin Liu¹, Jianan Li², Bo Wang², Yuanming Xiao², Tao Sun¹, Guoying Zhou^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 973-986, 2025, DOI:10.32604/phyton.2025.062421 - 31 March 2025

Abstract Anisodus tanguticus (Maxim.) Pascher, a medicinal plant in the Solanaceae family, is widely distributed across the Qinghai-Tibet Plateau. Its medicinal properties, particularly the tropane alkaloids, are influenced by various ecological factors, but the underlying ecological mechanisms remain poorly understood. This study aimed to investigate how key environmental variables influence both the morphological traits and tropane alkaloid contents of A. tanguticus, with the goal of providing data to support the sustainable cultivation and management of this species. We collected samples from 71 sites across its natural habitat, analyzing the effects of factors such as soil nutrients, altitude, and… More >

Shanlong Che, Guangliang Qu, Jin Ding^*, Guochen Wang, Yunyan Hao, Dianchen Li

Journal of Polymer Materials, Vol.42, No.1, pp. 221-236, 2025, DOI:10.32604/jpm.2025.058587 - 27 March 2025

Abstract Acrylonitrile–butadiene–styrene (ABS) is the main material used in fused deposition modeling (FDM), which has good toughness and strength, but the single ABS material has poor heat resistance, which tends to cause warping and deformation during the printing process. Polycarbonate (PC) exhibits good performance in heat resistance, allowing it to maintain stable performance at higher temperatures. In this work, PC was used as a blending modifier to prepare five kinds of ABS/PC composite filaments, and the mechanical and thermal properties of the ABS/PC (Acrylonitrile–butadiene–styrene/Polycarbonate) composite filaments were studied and analyzed. Results showed that the glass transition… More >

Jianying Li^1,2,*, Donglai Li^1,2, Tiefeng Li^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 445-470, 2025, DOI:10.32604/fdmp.2025.062337 - 01 April 2025

Abstract Hydrodynamic cavitation, as an efficient technique applied in many physical and chemical treatment methods, has been widely used by various industries and in several technological fields. Relevant generators, designed with specific structures and parameters, can produce cavitation effects, thereby enabling effective treatment and reasonable transformation of substances. This paper reviews the design principles, performance, and practical applications associated with different types of cavitation generators, aiming to provide theoretical support for the optimization of these systems. It systematically analyzes the underpinning mechanisms and the various factors influencing the cavitation phenomena, also conducting a comparative analysis of More > Graphic Abstract

Zhengjing Shen^1,2,*, Fanqiang Kong¹, Yu Liu¹, Jilai Zeng¹, Wengang Yang¹, Jiangbo Wu^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 589-603, 2025, DOI:10.32604/fdmp.2024.058727 - 01 April 2025

Abstract Erosion in slurry pumps presents a persistent challenge in industrial applications. This study examines the erosion of the static components of a 150ZJ-C42 centrifugal slurry pump, currently in operation at a beneficiation plant, under varying particle conditions. Utilizing high-precision three-dimensional reverse engineering, the pump’s flow passage geometry was reconstructed to facilitate detailed erosion analysis. Focusing on the front and rear baffles of the pump chamber, as well as the volute, erosion patterns were analyzed for different particle volume concentrations and sizes. The results reveal that the highest erosion damage consistently occurs near the volute tongue,… More > Graphic Abstract

Xu Liu¹, Qiujie Li^1,*, Youlin Xu¹, Musaed Alhussein², Khursheed Aurangzeb^2,*, Fa Zhu¹

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 575-593, 2025, DOI:10.32604/cmc.2025.062445 - 26 March 2025

Abstract The correction of Light Detection and Ranging (LiDAR) intensity data is of great significance for enhancing its application value. However, traditional intensity correction methods based on Terrestrial Laser Scanning (TLS) technology rely on manual site setup to collect intensity training data at different distances and incidence angles, which is noisy and limited in sample quantity, restricting the improvement of model accuracy. To overcome this limitation, this study proposes a fine-grained intensity correction modeling method based on Mobile Laser Scanning (MLS) technology. The method utilizes the continuous scanning characteristics of MLS technology to obtain dense point… More >

Xiyu Gao, Peng Liu, Anran Zhao, Guotai Huang, Jianhai Zhang, Liming Zhou^*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4137-4159, 2025, DOI:10.32604/cmc.2025.060194 - 06 March 2025

Abstract The High-Temperature Biaxial Testing Apparatus (HTBTA) is a critical tool for studying the damage and failure mechanisms of heat-resistant composite materials under extreme conditions. However, existing methods for managing and monitoring such apparatus face challenges, including limited real-time modeling capabilities, inadequate integration of multi-source data, and inefficiencies in human-machine interaction. To address these gaps, this study proposes a novel digital twin-driven framework for HTBTA, encompassing the design, validation, operation, and maintenance phases. By integrating advanced modeling techniques, such as finite element analysis and Long Short-Term Memory (LSTM) networks, the digital twin enables high-fidelity simulation, real-time… More >