AIAA Scitech 2021 Forum最新文献_第9页

Withdrawal: Numerical simulation study on the effects of delamination of silicon active material 摘要:硅活性物质分层效应的数值模拟研究

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-0888

Zhuoyuan Zheng, Zheng Liu, Pingfeng Wang, Yumeng Li

引用次数: 0

A Comprehensive Experimental and Computational Study on LVI induced Damage of Laminated Composites 层合复合材料LVI损伤的综合实验与计算研究

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-1623

Shiyao Lin, V. Ranatunga, A. Waas

引用次数: 7

Three-Body Collision Based Recombination Rate Constants from Quasi Classical Trajectory Calculations 准经典轨迹计算中基于三体碰撞的复合速率常数

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-0808

Eric C Geistfeld, T. Schwartzentruber

引用次数: 2

Numerical Investigations of Heat Transfer enhancement in double pipe heat exchanger using twisted tape insert 双管换热器采用扭带插片强化换热的数值研究

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-1923

E. Khalil, Ahmed Hwary, Samir AboHedaima, Mohamed M. El-Shabrawy

引用次数: 0

Review of Ablative Polymer Nanocomposites and Ultra High Temperature Ceramics for Hypersonic Applications 用于高超声速的烧蚀聚合物纳米复合材料和超高温陶瓷研究进展

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-1586

C. Yee, J. Koo

引用次数: 1

A Novel Automated Electronic Checklist for Non-Normal Event Resolution Tasks 一种用于非正常事件解决任务的新型自动电子检查表

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-1320

Coen E. Linskens, Jelmer R. Reitsma, C. Borst, M. V. van Paassen, M. Mulder

{"title":"A Novel Automated Electronic Checklist for Non-Normal Event Resolution Tasks","authors":"Coen E. Linskens, Jelmer R. Reitsma, C. Borst, M. V. van Paassen, M. Mulder","doi":"10.2514/6.2021-1320","DOIUrl":"https://doi.org/10.2514/6.2021-1320","url":null,"abstract":"Non-normal event resolution in-flight can be challenging on the flight crew with increased time pressure, workload, stress. Other competing tasks impose a risk on flight safety and burdens the decision-making process. Pilots rely on checklists to aid in their effort, which in its state-of-the-art form are presented on the dedicated Electronic Checklist (ECL) display for Boeing aircraft and on the Electronic Centralised Aircraft Monitor (ECAM) system for Airbus aircraft. However, human-induced errors and limitations remain prevalent. Exploring a different approach from other research efforts, this paper proposes a novel design which assumes automated checklist handling as a viable option to reduce workload durning nonnormal events. In a human-in-the-loop experiment with 12 commercial pilots, the design was compared against a reproduced Boeing 787 ECL over two scenarios. A synthetic setup was used, assuming a touch-based Boeing 737-8 flight deck combined with the Boeing 787 state-of-the-art alerting systems and displays. Results indicate significant checklist completion time reductions with the proposed design of 31.3% and 42.0% for an electrical and hydraulic failure, respectively. Experienced workload and situation awareness remained unchanged, though compressed in a shorter time frame. The novel display was positively anticipated by participants but was found to lack automation feedback.","PeriodicalId":165313,"journal":{"name":"AIAA Scitech 2021 Forum","volume":"278 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114246982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physics-Informed Feature-to-Feature Learning for Design-Space Dimensionality Reduction in Shape Optimisation 形状优化中设计空间降维的物理信息特征到特征学习

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-1235

Shahroz Khan, A. Serani, M. Diez, P. Kaklis

{"title":"Physics-Informed Feature-to-Feature Learning for Design-Space Dimensionality Reduction in Shape Optimisation","authors":"Shahroz Khan, A. Serani, M. Diez, P. Kaklis","doi":"10.2514/6.2021-1235","DOIUrl":"https://doi.org/10.2514/6.2021-1235","url":null,"abstract":". High-dimensional parametric design problems cause optimisers and physics simulations to suﬀer from the curse-of-dimensionality, resulting in high computational cost. In this work, to release this computational burden, we adopted a two-step feature-to-feature learning methodology to discover a lower-dimensional latent space, based on the combination of geometry-and physics-informed principal component analysis and the active subspace method. At the ﬁrst step, statistical dependencies implicit in the design parameters encode important geometric features of the underline shape. During the second step, functional features of designs are extracted in term of previously learned geometric features. Afterwards, both geometric and functional features are augmented together to create a functionally-active subspace, whose basis not only captures the geometric variance of designs but also induces the variability in the designs’ physics. As the new subspace accumulates both the functional and geometric variance, therefore, it can be exploited for eﬃcient design exploration and the construction of improved surrogate models for designs’ physics prediction. The validation and experimental studies presented in this work show the beneﬁcial eﬀects of the current approach in comparison to a conventional single-step feature learning.","PeriodicalId":165313,"journal":{"name":"AIAA Scitech 2021 Forum","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121519438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Direct Numerical Simulations of Laminar-Turbulent Transition for Transonic Boundary Layers 跨声速边界层层流-湍流过渡的直接数值模拟

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-1658

C. Hader, N. Deng, Michael Woodward, H. Fasel

引用次数: 0

“Best Laid Plans”: Ares I, Thrust Oscillation, and NASA Safety Post-CAIB “最佳规划”:战神一号、推力振荡和NASA安全后caib

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-1348

P. S. Wallace

引用次数: 0

Design of Additively-Manufactured Lattice Structure for Thermal Protection System: Thermal Characterization and Ablation Performance 热防护系统的增材制造晶格结构设计:热特性和烧蚀性能

AIAA Scitech 2021 Forum Pub Date : 2021-01-04 DOI: 10.2514/6.2021-0671

Yu-Chuen Chang, C. Yee, W. Fahy, A. Kafi, S. Bateman, Hao Wu, J. Koo

引用次数: 2