Numerical investigation of airborne contaminant transport under different vortex structures in the aircraft cabin.

Airborne contaminants such as pathogens, odors and CO2 released from an individual passenger could spread via air flow in an aircraft cabin and make other passengers unhealthy and uncomfortable. In this study, we introduced the airflow vortex structure to analyze how airflow patterns affected contaminant transport in an aircraft cabin. Experimental data regarding airflow patterns were used to validate a computational fluid dynamics (CFD) model. Using the validated CFD model, we investigated the effects of the airflow vortex structure on contaminant transmission based on quantitative analysis. It was found that the contaminant source located in a vorticity-dominated region was more likely to be "locked" in the vortex, resulting in higher 62% higher average concentration and 14% longer residual time than that when the source was on a deformation dominated location. The contaminant concentrations also differed between the front and rear parts of the cabin because of different airflow structures. Contaminant released close to the heated manikin face was likely to be transported backward according to its distribution mean position. Based on these results, the air flow patterns inside aircraft cabins can potentially be improved to better control the spread of airborne contaminant

Reconstruction of metabolic pathways by combining probabilistic graphical model-based and knowledge-based methods

Automatic reconstruction of metabolic pathways for an organism from genomics and transcriptomics data has been a challenging and important problem in bioinformatics. Traditionally, known reference pathways can be mapped into an organism-specific ones based on its genome annotation and protein homology. However, this simple knowledge-based mapping method might produce incomplete pathways and generally cannot predict unknown new relations and reactions. In contrast, ab initio metabolic network construction methods can predict novel reactions and interactions, but its accuracy tends to be low leading to a lot of false positives. Here we combine existing pathway knowledge and a new ab initio Bayesian probabilistic graphical model together in a novel fashion to improve automatic reconstruction of metabolic networks. Specifically, we built a knowledge database containing known, individual gene / protein interactions and metabolic reactions extracted from existing reference pathways. Known reactions and interactions were then used as constraints for Bayesian network learning methods to predict metabolic pathways. Using individual reactions and interactions extracted from different pathways of many organisms to guide pathway construction is new and improves both the coverage and accuracy of metabolic pathway construction. We applied this probabilistic knowledge-based approach to construct the metabolic networks from yeast gene expression data and compared its results with 62 known metabolic networks in the KEGG database. The experiment showed that the method improved the coverage of metabolic network construction over the traditional reference pathway mapping method and was more accurate than pure ab initio methods

The Effect of Initial Creep Damage on Unloading Failure Properties of Sandstone from Macro-mesoscopic Perspective

The aim of this research was to show the effect of initial creep damage on unloading failure of rock from macro-mesoscopic perspective. A series of triaxial creep tests were carried out on sandstone to simulate initial creep damage and then unloading confining pressure tests were performed, respectively. A creep damage variable was proposed to analyze the degree of initial creep damage and the relationship of it with the macroscopic strength parameters was established. The results showed that the unloading amount of confining pressure and residual strength all tend to decrease when the degree of initial creep damage increases. The critical challenge was how to describe the effect of initial creep damage from mesoscopic perspective. This aim was achieved through two steps. In the first step, the mesoscopic properties were analyzed using experimentally obtained SEM images of the rock samples with different levels of initial creep damage. By comparative analysis of porosities in different magnifications, it can be concluded that porosity can’t reflect the effect of initial creep damage very well, thus, other pore parameters are further proposed. In the second step, three pore parameters were calculated by using the Matlab and IPP software, then, the average value of mean pore diameter is determined as the proper evaluation parameter and, finally, the agreement was verified between the mesoscopic pore parameter and creep damage variable

Study on Spatial Variation of Shear Mechanical Properties of Soil-rock Mixture

The soil-rock mixture (SRM) is a kind of special engineering geological material, which has been exposed to the field for a long time and is affected by rainwater seepage, geological force, slope sliding force and human activities, resulting in the spatial variability of its mechanical properties. Taking the SRM distributed on a slope of the Three Gorges Reservoir area as the research object, four test locations were selected along and transverse the slope. First, in-situ large-scale direct shear test was carried out, and then the laboratory large-scale direct shear test, particle sieving test, and water content test were carried out in the undisturbed sample to study the variation of shear mechanical properties of SRM distributed in different spatial locations. The results show that: (1) Under the same normal stress, the peak strength of the SRM decreases at a similar rate along the slope direction and the transverse slope direction. (2) The cohesion of the SRM is continuously strengthened, and the friction angle is continuously deteriorated along the slope from high to low, the cohesion and friction angle are almost no variability along the transverse slope. (3) The mechanism of the above-mentioned variation in the shear mechanics parameters of SRM is that the lower the elevation along the slope, the more fragmented the rock, the lower the rock content. (4) Spatial variability models of cohesion and friction angle of SRM were established, which can provide references for related engineering applications