Morris method with improved sampling strategy and Sobol’ Variance-based method, as validation tool on Numerical Model of Richard’s Equation

Richard’s equation was approximated by finite-difference numerical scheme to model water infiltration profile in variably unsaturated soil. The published data of Philip’s semi-analytical solution was used to validate the simulated results from the numerical scheme. A discrepancy was found between the simulated and the published semi-analytical results. Morris method as a global sensitivity tool was used as an alternative to local sensitivity analysis to assess the results discrepancy. Morris method with different sampling strategies were tested, of which Manhattan distance method have resulted a better sensitivity measures and also a better scan of input space than Euclidean method. Moreover, Morris method at and Manhattan distance sampling strategy, with only 2 extra simulation runs than local sensitivity analysis, was able to produce reliable sensitivity measures ( , ). The sensitivity analysis results were cross-validated by Sobol’ variance-based method with 150,000 simulation runs. The global sensitivity tool has identified three important parameters, of which spatial discretization size was the sole reason of the discrepancy observed. In addition, a high proportion of total output variance contributed by parameters and is suggesting a greater significant digits is required to reduce its input uncertainty range.

Morris method with improved sampling strategy and Sobol’ variance-based method, as validation tool on numerical model of Richard’s equation

Richard’s equation was approximated by finite-difference numerical scheme to model water infiltration profile in variably unsaturated soil. The published data of Philip’s semi-analytical solution was used to validate the simulated results from the numerical scheme. A discrepancy was found between the simulated and the published semi-analytical results. Morris method as a global sensitivity tool was used as an alternative to local sensitivity analysis to assess the results discrepancy. Morris method with different sampling strategies were tested, of which Manhattan distance method have resulted a better sensitivity measures and also a better scan of input space than Euclidean method. Moreover, Morris method at and Manhattan distance sampling strategy, with only 2 extra simulation runs than local sensitivity analysis, was able to produce reliable sensitivity measures ( , ). The sensitivity analysis results were cross-validated by Sobol’ variance-based method with 150,000 simulation runs. The global sensitivity tool has identified three important parameters, of which spatial discretization size was the sole reason of the discrepancy observed. In addition, a high proportion of total output variance contributed by parameters and is suggesting a greater significant digits is required to reduce its input uncertainty range.

Application of probabilistic approaches to the performance evaluation of building envelopes to withstand mould growth

Probabilistic-based approaches for the performance evaluation of building envelopes to withstand mould growth have gained significant attention in recent years. In this article, a scoping review is performed to identify some current challenges and opportunities in probabilistic-based approaches. Therefore, the performance of a highly insulated wall is evaluated by applying a probabilistic-based methodology that accounts for several uncertainties and investigates their significance. A sensitivity analysis is performed according to the Morris method to understand the influence of each parameter and simplify the system representation of this case study. Deficiencies in terms of rain penetration and air leakage are accounted for. The mould growth risk is evaluated by integrating different mould models and assessment criteria. Overall, the performance of the investigated wall is found satisfactory in most of the cases, except when wind-driven rain penetration occurs. The study demonstrates that a probabilistic-based methodology enables a systematic approach to evaluate the performance of building constructions as it accounts for the involved uncertainties, provides a clear association of the microbial growth to its probability of occurrence and enables the identification of the dominant parameters, delivering more comprehensive conclusions.

Lifestyle of football fans: psychological space features

The subjects are 299 men aged 18 to 29 years old among which residents of Ukraine (198 persons) and Poland (101 persons) occupying different positions (lawyers, engineers, economists, managers, managers, specialties, etc). Of the studied Ukrainians - 49 men, and among the investigated Poles, 47 men are directly related to the fan group of their city, that is, they belong to the ultra’s association. The purpose of the work is to determine the structure of the psychological space of a "fan" lifestyle. The methods used: a numerical scaling method to measure the value of "maintaining a favorite team" and comparing it with other values; method "Completeness of sentences"; the technique is aimed at studying the leading lifestyle of Ch. Morris; method of reactive and personality anxiety diagnostics of Ch.D. Spielberger, Yu.L.Hanin; the method of multivariate analysis of personality of R. Kettell (105) form C. The research plan of the intergroup comparison is used to determine the deindividualized, averaged information about the characteristic psychological properties of each group members. The model of the integral psychological space of the lifestyle of men who are involved in football sickening is obtained. Four vectors which collectively create an integral psychological space of stylistic features of football fans are allocated. The psychological content of each of the defined vectors is described. Graphic representation in the form of a three-dimensional model, where the vectors of such axes are the vector of independence, the vector of harmony of life, the vector of inclusion. Conditional zero is a rolled vector of mentality. The psychological space of lifestyle of football fans has been constructed, connections between psychological spaces of different groups of football fans have been determined. The peculiarity of this model is that it allows us to clearly demonstrate the typology of football fans and to clearly distinguish the features of football fans lifestyle.