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This article highlights the absence of published paradigms hybridized by The Cuckoo Search (CS) and Stochastic Paint Optimizer (SPO) for optimizing truss structures using composite materials under natural frequency constraints. The article proposes a novel optimization algorithm called CSSPO for optimizing truss structures made of composite materials, known as fiber-reinforced polymer (FRP) composites, to address this gap. Optimization problems of truss structures under frequency constraints are recognized as challenging due to their non-linear and non-convex search spaces that contain numerous local optima. The proposed methodology produces high-quality optimal solutions with less computational effort than the original methods. The aim of this work is to compare the performance of carbon FRP (CFRP), glass FRP (GFRP), and steel using a novel hybrid algorithm to provide valuable insights and inform decision-making processes in material selection and design. Four benchmark structure trusses with natural frequency constraints were utilized to demonstrate the efficiency and robustness of the CSSPO. The numerical analysis findings indicate that the CSSPO outperforms the classical SPO and exhibits comparable or superior performance when compared to the SPO. The study highlights that implementing CFRP and GFRP composites in truss construction leads to a notable reduction in weight compared to using steel.

<abstract> <p>The trend is shifting from internal combustion engines (ICEs) to battery electric vehicles (BEVs). One of the important battery joints is battery tabs to the busbar connection. Aluminum (Al) and copper (Cu) are among the common materials for busbar and battery tab manufacturing. A wide range of research shows that the laser welding of busbar to battery tabs is a very promising technique. It can enhance the battery module's safety and reliability owing to its unique properties. The desired strength, ductility, fatigue life as well as electrical resistivity are crucial to attain in laser welding of dissimilar materials aluminum and copper in busbar to battery tab in BEVs. Therefore, an adequate understating of the principal factors influencing the Al–Cu busbar to battery tabs joint properties are of prime importance. The current review paper provides information on laser welding and laser brazing of dissimilar Al–Cu with thin thicknesses. Also, the common defects, the effect of materials properties on laser joining, and laser-materials interaction during the laser welding process are discussed. Laser process parameters adjustment (e.g., laser power or speed), laser operational mode, and proper choice of materials (e.g., base metals, alloying elements, filler metals, etc.) may enhance the joint properties in terms of mechanical and electrical properties.</p> </abstract>

This paper considers the problem of long time prediction of uncertain dynamic systems. Spectral methods such as polynomial chaos expansion (PCE) provides a suitable alternative for classical Monte Carlo method with lower computational load. However, polynomial chaos expansion has a major drawback of long time integration error. In this paper, we will apply singular perturbation (SP) method for reducing long time integration error. Using SP the accuracy of long time predictions are improved with comparable computational load. We will apply SP to illustrative exemplify problems to show effectiveness of our approach. Moreover, we will illustrate application of SP together with a model order reduction tool to reduce long time integration error as applied to distributed parameter.

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