Aeroelastic Analysis of Perovskite Solar cell
Aeroelastic Analysis of Perovskite Solar cell
批准号:
2880923
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
This project aims to develop a novel computational framework to study the aeroelastic behaviour of perovskite solar cell (PSC) composite structures. The (PSC), as a potential disruptive space market entrant, has fascinated both the scientific community and the aerospace industry due to its high specific power, flexibility, and low fabrication cost. The perovskite solar cell (PSC) discovery has become a dominant breakthrough within third-generation photovoltaic devices. The resultant high specific power and flexible inherence of the PSC alleviate the satellite payload while strengthening the adaptability in deploying the photovoltaic system. These advantages qualify the revolutionary PSC as a good rival in the contemporary space panel sector. The emerging perovskite and organic solar cell technologies have recently attracted much attention among researchers. Applied in space crafts or satellites, such panels would save propellants and create novel possibilities for space missions. During the operation of the PSC products, the unanticipated external impacts are prevalent and inescapable, severely endangering the practical devices' serviceability. During the successful voyage towards practical deployment of the novel PSC, investigating the structure's dynamic mechanical performance and stability is an urgent and essential issue. Such an attribute represents a critical issue for space structure design and a crucial capability metric against aerodynamic loadings. On the contrary, negligence might yield composite degradation and damage, compromising the operational performance and safety of the PSC structure. Therefore, this research aims to develop a robust finite element framework to study the aeroelastic behaviour of PSC composite beams, plates and composite shell structures.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
登录
查看更多内容
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
-
批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位:
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
-
批准号:--
-
项目类别:外国学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:USHARANI HAREESH GOVINDARA JAN
-
依托单位:
基于Meta-analysis的新疆棉花灌水增产模型研究
-
批准号:41601604
-
项目类别:青年科学基金项目
-
资助金额:22.0万元
-
批准年份:2016
-
负责人:赵爱琴
-
依托单位:
大规模微阵列数据组的meta-analysis方法研究
-
批准号:31100958
-
项目类别:青年科学基金项目
-
资助金额:20.0万元
-
批准年份:2011
-
负责人:赵洪雅
-
依托单位:
用“后合成核磁共振分析”(retrobiosynthetic NMR analysis)技术阐明青蒿素生物合成途径
-
批准号:30470153
-
项目类别:面上项目
-
资助金额:22.0万元
-
批准年份:2004
-
负责人:刘本叶
-
依托单位: