2026-10-18T23:16:07Zhttps://ebyu-rdlopen.rawdatalibrary.net/oai/request

oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/133422026-10-18T20:39:23Zopenairedrivercom_ebyu_10000col_ebyu_10001

Single- and Multiobjective Optimizations of Dimensionally Stable Composites Using Genetic AlgorithmsAydin, L.Artem, H.S.Deveci, H.A.dimensional stabilitylaminated compositessatellite structuresstochastic optimizationElastic moduliExpansionMultiobjective optimizationThermal expansionCarbon/epoxy compositesDesign processHigh elastic modulusInterlaminar stressLaminate designLow coefficient of thermal expansionsStacking sequenceThermal expansion coefficientsGenetic algorithmsThe present study aims to design stacking sequences of dimensionally stable symmetric balanced laminated carbon/epoxy composites, with different numbers of layers, with a low coefficient of thermal expansion and high elastic moduli. To avoid excessive interlaminar stresses in the composites, the contiguity constraint for plies is also taken into consideration. In the design process, both single- and multiobjective optimization approaches, including genetic algorithms, are utilized. Results showed that stacking sequences ensuring lower thermal expansion coefficients and higher elastic moduli than those of traditional laminate designs can be obtained. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.Springer2021Articlehttps://rdlopen.rawdatalibrary.net/r/ebyu/13342https://doi.org/10.1007/s11029-021-09957-y0191-5665enMechanics of Composite Materialsinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/13342