Analytical approach for nonlinear vibration response of the thin cylindrical shell with a straight crack

Wang, Tong; Wang, Chengyan; Yin, Yaxing; Zhang, Yankang; Li, Lin; Tan, Dapeng

doi:10.1007/s11071-023-08460-4

Cited by 25 publications

(20 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the combined transcriptome and metabolome, we found that the metabolic pathways, including those related to anthocyanin biosynthesis; cysteine and methionine metabolism; C5-branched dibasic acid metabolism; glutathione metabolism; and beta-alanine metabolism were closely related to the H. mutabilis color change from white to pink. Polyphenol compounds, such as anthocyanins, produce the different hues of pink, red, purple, and blue in flowers, vegetables, and fruits [ 59 , 60 , 61 , 62 , 63 , 64 , 65 ]. The enrichment of the anthocyanin biosynthesis pathway may play a key role in regulating the color transition of H. mutabilis from white to pink [ 34 , 66 ].…”

Section: Discussionmentioning

confidence: 99%

Transcription and Metabolic Profiling Analysis of Three Discolorations in a Day of Hibiscus mutabilis

Zhu¹,

Zeng²,

Shi³

et al. 2023

Biology

View full text Add to dashboard Cite

In this study, we used combined transcriptomics and metabolomics to analyze the H. mutabilis cultivar’s genetic and physiological mechanisms during three flower color transition periods (from white to pink, then from pink to red) within the span of one day. As a result, 186 genes were found to be significantly increased with the deepening of the H. mutabilis flower color; these genes were mainly involved in the expression of peroxidase 30, zinc finger protein, phosphate transporter PHO1, etc. In contrast, 298 genes were significantly downregulated with the deepening of H. mutabilis flower color, including those involved in the expression of probable O-methyltransferase 3, copper binding protein 9, and heat stress transcription factor A-6b. Some genes showed differential expression strategies as the flower color gradually darkened. We further detected 19 metabolites that gradually increased with the deepening of the H. mutabilis flower color, including L-isoleucine, palmitic acid, L-methionine, and (+)-7-isonitrobenzene. The content of the metabolite hexadecanedioate decreased with the deepening of the H. mutabilis flower color. Combined transcriptomics and metabolomics revealed that the metabolic pathways, including those related to anthocyanin biosynthesis, cysteine and methionine metabolism, and sulfur metabolism, appear to be closely related to H. mutabilis flower color transition. This study served as the first report on the genetic and physiological mechanisms of short-term H. mutabilis flower color transition and will promote the molecular breeding of ornamental cultivars of H. mutabilis.

show abstract

Section: Discussionmentioning

confidence: 99%

Transcription and Metabolic Profiling Analysis of Three Discolorations in a Day of Hibiscus mutabilis

Zhu¹,

Zeng²,

Shi³

et al. 2023

Biology

View full text Add to dashboard Cite

show abstract

“…Constraints ( 26) to (28) show that the total volume of de-icing fluid loaded by the unmanned de-icing vehicle fleet is not less than the volume required for Type K flights. Moreover, constraint (29) indicates that the number of active unmanned de-icing vehicles cannot exceed the total number of available unmanned de-icing vehicles.…”

Section: Lower Level Modeling-fsm-mdvrp For Unmanned De-icing Vehiclesmentioning

confidence: 99%

“…Moreover, Jiang [27] proposed an optimization model for the airport Ground Movement Problem (GMP) based on bi-level planning, specifically designed to tackle taxiing conflict issues on airport grounds, thereby enhancing operational safety and efficiency. Similar collaborative mechanisms have also yielded substantial research achievements in other fields [28][29][30][31]. Due to the mutual influence of the upper and lower levels in bi-level planning, this can serve as a solution approach to coordinate between airport de-icing resources.…”

Section: Introductionmentioning

confidence: 97%

Bi-Level Optimization for De-Icing Position Allocation and Unmanned De-Icing Vehicle Fleet Routing Problem

Liu,

Huang,

Han

et al. 2024

Biomimetics

View full text Add to dashboard Cite

Aircraft icing due to severe cold and local factors increases the risk of flight delays and safety issues. Therefore, this study focuses on optimizing de-icing allocation and adapting to dynamic flight schedules at medium to large airports. Moreover, it aims to establish a centralized de-icing methodology employing unmanned de-icing vehicles to achieve the dual objectives of minimizing flight delay times and enhancing airport de-icing efficiency. To achieve these goals, a mixed-integer bi-level programming model is formulated, where the upper-level planning guides the allocation of de-icing positions and the lower-level planning addresses the collaborative scheduling of the multiple unmanned de-icing vehicles. In addition, a two-stage algorithm is introduced, encompassing a Mixed Variable Neighborhood Search Genetic Algorithm (MVNS-GA) as well as a Multi-Strategy Enhanced Heuristic Greedy Algorithm (MSEH-GA). Both algorithms are rigorously assessed through horizontal comparisons. This demonstrates the effectiveness and competitiveness of these algorithms. Finally, a model simulation is conducted at a major northwestern hub airport in China, providing empirical evidence of the proposed approach’s efficiency. The results show that research offers a practical solution for optimizing the use of multiple unmanned de-icing vehicles in aircraft de-icing tasks at medium to large airports. Therefore, delays are mitigated, and de-icing operations are improved.

show abstract

“…Final results obtained by comparing the two methods in the literature [45] are very similar. The MRF method can also adopt transient simulation, which is calculated in a pseudo-steady state way, compared to the SG method, which is more accurate but more time-consuming [46][47][48]. Therefore, this simulation adopts the transient MRF method.…”

Section: Boundary Conditions and Parameter Selectionmentioning

confidence: 99%

Material Transport and Flow Pattern Characteristics of Gas–Liquid–Solid Mixed Flows

Chen

et al. 2023

Processes

Self Cite

View full text Add to dashboard Cite

Flow pattern monitoring of gas–liquid–solid mixed flow has great significance to enhance the quality and efficiency of material mixing, and the material transport mechanism and dynamic control strategy are faced with significant challenges. To solve these problems, a computational fluid mechanics and discrete element method (CFD-DEM) coupling modeling and solving approach based on soft sphere and porous models is presented to explore material transport mechanisms. The user-defined function (UDF) is adopted to perform data communication, and the porosity of the porous model is calculated to achieve the bidirectional calculation of Eulerian fluid and Lagrange particle phases. Material transport processes of gas–liquid–solid mixed flows are discussed to explore material transport mechanisms of particle flow and the flow pattern evolution laws under the inflation control are obtained. The results show that the particles are not evenly distributed under the synergistic action of impeller rotation and inflation. The particles in the upper and lower impeller have similar characteristics along the radial direction, and there is an aggregation phenomenon in the impeller center. A certain degree of inflation enhances the macroscopic mixing process of turbulent vortices, promotes the particle suspension effect inside the container, and improves the material transport efficiency inside the mixing space. Relevant research results can provide theoretical references for the material transport mechanism, flow pattern tracking models, and energy transfer and can also provide technical support for chemical process separation, food processing, battery homogenate mixing, and other production processes.

show abstract

Analytical approach for nonlinear vibration response of the thin cylindrical shell with a straight crack

Cited by 25 publications

References 48 publications

Transcription and Metabolic Profiling Analysis of Three Discolorations in a Day of Hibiscus mutabilis

Transcription and Metabolic Profiling Analysis of Three Discolorations in a Day of Hibiscus mutabilis

Bi-Level Optimization for De-Icing Position Allocation and Unmanned De-Icing Vehicle Fleet Routing Problem

Material Transport and Flow Pattern Characteristics of Gas–Liquid–Solid Mixed Flows

Contact Info

Product

Resources

About