Variable-Diameter Deployable Structure Composite Preforms Made by Braiding and Needle-Punching Integrated Forming Technology by Zhengxi Zhou, Zitong Guo, Zhongde Shan, Zheng Sun, Jun Zhang, Fengchen Geng, Yaoyao Wang, Tianzheng Yang, Zhiqi Zhuang

Subjects: “…Variable-diameter deployable structure…”
Get full text

Modeling and Performance Analysis of Variable Cycle Engine with Ceramic Matrix Composite Turbine Blades by Baokuo Li, Sheng Huang, Huaixu Yan, Xiaobo Zhang, Kun Du, Zhanxue Wang

Subjects: “…variable cycle engine…”
Get full text

Home made sour cream from Bjelovar by Slavko Kirin

“…This paper contains the results of organoleptic properties, chemical composition and microbiological quality investigation samples of home made cream taken from Bjelovar (Croatia) market. …”
Get full text

Bistable variable stiffness laminates - novel manufacturing and modeling strategies by P.M. Anilkumar, A. Haldar, G. Clancy, S. Scheffler, B.N. Rao, P.M. Weaver, R. Rolfes

“…Recent advancements in composites research indicate that replacing conventional straight fiber composites with variable stiffness (VS) composites opens up new avenues for enhancing the design space of shape-morphing structures. …”
Get full text

Variable Cluster Analysis of Employment in the Cities of the Russian Federation by I. A. Zalmanov

“…The study revealed that statistically homogeneous clusters of cities have specific administrative composition, which predetermines the characteristics of multifactor regression models of employment, the parameters of which are recommended for use in developing measures to regulate employment and the socio-economic development of cities.…”
Get full text

A progessive damage fatigue model for unidirectional laminated composites based on finite element analysis by Michael Hack, D. Carrella-Payan, B. Magneville, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

“…The simulation of the fatigue damage of laminated composites under multi-axial and variable amplitude loadings has to deal with several new challenges and several methods of damage modelling. …”
Get full text

Optimal Design of Variable-Stiffness Fiber-Reinforced Composites by Evangelos P. Hadjigeorgiou, Christos A. Patsouras, Vassilios K. Kalpakides

“…The concept of variable-stiffness composites allows the stiffness properties to vary spatially in the material. …”
Get full text

The Ukrainian Pryazovye: composition, uniqueness, variability of the recreational development by Олександр Бейдик, Олександр Комлєв, Лариса Донченко, Ірина Арсененко, Олеся Топалова, Ірина Донець

Get full text

Planning and optimization models in ready-made concrete production and logistics by Mykhailo Buhaievskyi, Yuri Petrenko

“…These models account for production constraints, stochastic demand, variable delivery routes, mix composition, and time limitations. …”
Get full text

Uncertain Parameter Numerical Model Updating According to Variable Modal Test Data in Application of Large Composite Fuselage Panel by Marcin Luczak, Antonio Vecchio, Bart Peeters, Ludo Gielen, Herman Van der Auweraer

“…This paper presents a novel approach in the field of experimental and numerical investigation of mechanical properties of composite structures. It takes into account test data variability resulting from structural dynamic properties measurement and uses them to quantify uncertainties in model parameters updating. …”
Get full text

AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition by N. M. Mahowald, L. Li, J. Vira, M. Prank, D. S. Hamilton, H. Matsui, R. L. Miller, P. L. Lu, P. L. Lu, E. Akyuz, D. Meidan, P. Hess, H. Lihavainen, C. Wiedinmyer, J. Hand, M. G. Alaimo, C. Alves, A. Alastuey, P. Artaxo, A. Barreto, F. Barraza, S. Becagli, G. Calzolai, S. Chellam, Y. Chen, P. Chuang, D. D. Cohen, C. Colombi, E. Diapouli, G. Dongarra, K. Eleftheriadis, J. Engelbrecht, C. Galy-Lacaux, C. Gaston, D. Gomez, Y. González Ramos, Y. González Ramos, R. M. Harrison, C. Heyes, B. Herut, B. Herut, P. Hopke, P. Hopke, C. Hüglin, M. Kanakidou, M. Kanakidou, M. Kanakidou, Z. Kertesz, Z. Klimont, K. Kyllönen, F. Lambert, F. Lambert, X. Liu, R. Losno, F. Lucarelli, W. Maenhaut, B. Marticorena, R. V. Martin, N. Mihalopoulos, N. Mihalopoulos, Y. Morera-Gómez, A. Paytan, J. Prospero, S. Rodríguez, S. Rodríguez, P. Smichowski, D. Varrica, B. Walsh, C. L. Weagle, X. Zhao

“…There are substantial data sets describing aerosol particles in the literature or in public health databases, but they have not been compiled for easy use by the climate and air quality modeling community. Here, we present a new compilation of PM<span class="inline-formula">_2.5</span> and PM<span class="inline-formula">₁₀</span> surface observations, including measurements of aerosol composition, focusing on the spatial variability across different observational stations. …”
Get full text

A flexible way to study composites in ecology using structural equation modeling by Xi Yu, Florian Schuberth, Jörg Henseler

“…For example, it allows researchers to specify the effects of other variables on a composite. Consequently, conceptual models can be more adequately represented by the statistical model using this specification. …”
Get full text

Composite GDP nowcasting using macroeconomic variables and electricity data. by Zhiqiang Lan, Zidi Liu, Guoyao Wu

Get full text

Dem-driven investigation and AutoML-Enhanced prediction of Macroscopic behavior in cementitious composites with Variable frictional parameters by Vahid Shafaie, Majid Movahedi Rad

Get full text

Two-stage multiple imputation with a longitudinal composite variable by Xuzhi Wang, Martin G. Larson, Chunyu Liu

“…Results In simulation studies, the imputation models within two-stage MI, assuming appropriate ignorability assumptions, exhibited the smallest bias and achieved optimal coverage probabilities for the means, slopes across different time points, and hazard ratios for mortality related to the composite variable. …”
Get full text

Implementation of fatigue model for unidirectional laminate based on finite element analysis: theory and practice by D. Carrella-Payan, B. Magneville, M. Hack, C. Lequesne, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

“…The aim of this study is to deal with the simulation of intralaminar fatigue damage in unidirectional composite under multi-axial and variable amplitude loadings. …”
Get full text

Implementation of fatigue model for unidirectional laminate based on finite element analysis: theory and practice by D. Carrella-Payan, B. Magneville, M. Hack, C. Lequesne, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

“…The aim of this study is to deal with the simulation of intralaminar fatigue damage in unidirectional composite under multi-axial and variable amplitude loadings. …”
Get full text

Modeling Syngas Fermentation for Ethanol Production under Fluctuating Inlet Gas Composition by Noviani Arifina Istiqomah, Rendy Mukti, Made Tri Ari Penia Kresnowati, Tjandra Setiadi

“…Despite these fluctuations, the microbial system displayed resilience, stabilizing once gas composition returned to normal levels. These insights underscored the adaptability and robustness of syngas fermentation systems, making them viable for industrial applications where gas composition variability is inevitable. …”
Get full text

Process variables in mixture experimental design applied to wood plastic composites by Javier Cruz-Salgado, Sergio Alonso-Romero, Edgar Augusto Ruelas-Santoyo, José Alfredo Jiménez-García, Israel Miguel-Andrés, Roxana Zaricell Bautista-López

“…The highest tensile strength is achieved at maximum levels of these variables, indicating a synergistic effect. Response variable optimization identifies the optimal mixture composition as 90% PET, 10% wood, and no coupling agent. …”
Get full text

Effect of titanium dioxide (Tio2) nanoparticles on the wear rate of marine journal bearings made of composite materials by Suadad Noori Ghani, Ali Sadiq Alithari, Hala Salman Hasan

“…To support the results, a statistical regression analysis was conducted, revealing a strong and significant relationship between the variables. The coefficient of determination (R²) was 0.974, indicating that the model explained 97.4 % of the variance in the data. …”
Get full text