複合材料壓力容器 (CPVs) 由於纖維排列交織複雜，導致建模或分析困難。目前大多數方法使用簡化的軸對稱模型：假設任一位置的非軸向層僅含有均勻正纖維角度和相同大小之負纖維角度，並在不同位置改變疊層厚度。然而，這種簡化方法通常會導致嚴重低估壓力容器的相對較薄區域產生的局部應力，因此不適合進行詳細設計或應用於太空的最佳化。本研究旨在開發一種能夠準確且快速地構建連續纖維強化之壓力容器有限元模型的方法，有效的提高設計與評估時的可靠性。本研究開發了一個名為Structural Analysis Process for Composite Pressure Vessels (SAPCPV) 的腳本，該腳本在Abaqus中運行，根據指定的設計參數（如幾何外型、纖維材料和纖維束包覆桶槽的製造參數）和負載，自動化生成有限元模型、設置和執行分析。SAPCPV使用了由研究團隊成員開發的Laminate Modeling for Composite Pressure Vessels (LMCPV) 程式碼，該程式碼根據指定的精度計算每個元素的疊層定義。此外，SAPCPV還能與由研究團隊成員開發的貝葉斯最佳化演算法框架Bayesian Optimization Framework for Finite Element Models (BOFFEM) 結合。在貝葉斯最佳化迭代中，SAPCPV會自動獲取設計參數的值，並且返還分析結果給BOFFEM。為了展示整個過程，本研究使用SAPCPV分析以簡化方法設計的燃料桶槽，分析其首層失效和最終失效。本論文中還展示了通過使用這一先進方法進行的最佳化過程，顯著減輕了重量並提高了安全裕度。

Composite Pressure Vessels are difficult to model or analyze due to the complex interwoven arrangement of the fibers. Currently, most approaches use simplified axisymmetric models where all the off-axis layers are balanced angle plies with variation in ply thickness. However, these approaches often result in substantially underestimated local stresses for relatively thinner pressure vessels and therefore are not suitable for detailed design or optimization for space applications. This research aims to develop a process for accurately and rapidly building finite-element models for continuous fiber-reinforced pressure vessels and effectively improve the reliability of design assessment. A script (SAPCPV) was developed in the research, which runs in Abaqus to automate the generation of a finite element model and setting up and execution of analyses according to specified design parameters (e.g., geometrical, material, and filament winding parameters) and loadings. SAPCPV employs a code (LMCPV) that was developed by a research partner to calculate the laminate definition for each finite element according to specified resolution. Moreover, SAPCPV can run within a Bayesian optimization framework developed by another partner. In the evaluation of each design trial during the Bayesian optimization, values of design variables are automatically provided to SAPCPV, and SAPCPV returns results of the analysis that it invokes. To demonstrate the entire process, a pressure vessels designed by a simplified approach was analyzed to investigate its first-ply failure and final failure by using SAPCPV. The tank was further optimized by using the advanced process, resulting in significant weight reductions and increases in safety margin.

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