Deep virtual model assisted dynamic buckling and reliability analysis of stiffened perovskite solar cells under high-dimensional and categorical factors

IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES
Luo Bo , Jize Zhang , Shaoyu Zhao , Jie Yang
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引用次数: 0

Abstract

The perovskite solar cell (PSC) emerges as one of the most burgeoning photovoltaic contenders, igniting tremendous research passion within academia and industry. This study addresses the critical yet challenging issue of nonlinear dynamic buckling and reliability analysis for the PSC with agglomerated carbon nanotube reinforced composite (CNTRC) stiffeners under triaxial impacts, simultaneously tackling high-dimensional uncertainties and various categorical factors for the first time. A deep virtual modelling technique, namely Tree-structured Parzen Estimator enhanced Gated Additive Tree Ensemble (TPE-GATE), is newly developed to depict the sophisticated relationship among high-dimensional and heterogenous categorical inputs, and the focused composite nonlinear failure response and reliability accurately and efficiently, circumventing extensive triaxial simulations across vast combinatorial spaces. Statistical information and risk probabilities regarding buckling behaviour are effectively furnished with the deep virtual model, which is essential for safety assessments and serviceability limit state design of the stiffened PSC. In numerical experiments, the superiority of TPE-GATE over popular meta-models is quantitatively demonstrated. Furthermore, parametric studies examining various critical factors influencing deterministic and stochastic failure responses are efficiently conducted using TPE-GATE. Ultimately, unique findings will facilitate informed decision-making and preventive strategies to enhance impact-carrying capacity, reliability-based safety design, and robust optimization of advanced solar composites.
深度虚拟模型辅助强化钙钛矿太阳能电池在高维和分类因素下的动态屈曲和可靠性分析
钙钛矿太阳能电池(PSC)作为新兴的光伏电池竞争者之一,在学术界和工业界引发了巨大的研究热情。本研究首次解决了带有团聚碳纳米管增强复合材料(CNTRC)加强筋的PSC在三轴冲击下的非线性动态屈曲和可靠性分析这一关键而又具有挑战性的问题,同时解决了高维不确定性和各种分类因素。基于树型结构Parzen Estimator增强门控可加性树集成(TPE-GATE)的深度虚拟建模技术,能够准确有效地描述高维异质分类输入与聚焦复合非线性失效响应和可靠性之间的复杂关系,从而避免了在巨大组合空间中进行大量的三轴模拟。该深度虚拟模型有效地提供了钢筋混凝土结构屈曲行为的统计信息和风险概率,对钢筋混凝土结构的安全性评估和使用极限状态设计具有重要意义。在数值实验中,定量地证明了TPE-GATE模型相对于常用元模型的优越性。此外,利用TPE-GATE有效地进行了影响确定性和随机失效响应的各种关键因素的参数化研究。最终,独特的发现将促进明智的决策和预防策略,以提高冲击承载能力,基于可靠性的安全设计,以及先进太阳能复合材料的稳健优化。
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来源期刊
Composite Structures
Composite Structures 工程技术-材料科学:复合
CiteScore
12.00
自引率
12.70%
发文量
1246
审稿时长
78 days
期刊介绍: The past few decades have seen outstanding advances in the use of composite materials in structural applications. There can be little doubt that, within engineering circles, composites have revolutionised traditional design concepts and made possible an unparalleled range of new and exciting possibilities as viable materials for construction. Composite Structures, an International Journal, disseminates knowledge between users, manufacturers, designers and researchers involved in structures or structural components manufactured using composite materials. The journal publishes papers which contribute to knowledge in the use of composite materials in engineering structures. Papers deal with design, research and development studies, experimental investigations, theoretical analysis and fabrication techniques relevant to the application of composites in load-bearing components for assemblies, ranging from individual components such as plates and shells to complete composite structures.
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