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were the first to study the effect of hydrostatic pressure on the phase transition of TGS. They found a linear upward shift in Curie point with -3 growing pressure at a rate of dT / d d = 2 . 5~1 0 et al. (2) followed the effect of pressure on T and extended the result of (1) t o 3.3 kbar. Upward of this pressure, a deviation from linearity was found up to pressures of 5 kbar. Measurements by Zheludev et al. (3) resulted in a linear increase in T at a rate of dT / d d = 1 . 8~1 0 -~d e g / b a r up to 12 kbar. Samara (4) studied the effect of hydrostatic pressure on the electric permittivity of a TGS monocrystal up t o 17 kbar. In this paper, we report results on the influence of hydrostatic pressure up to 12 kbar on the phase transition of a TGS monocrystal. Moreover, in a modified thermodynamical theory taking into account the temperature and pressure dependence of the electromechanical coefficient, we determine the pressure-induced shift of the Curie point. deg/bar UP to 2.7 kbar. Leonidova C C C C The electric permittivity of the TGS monocrystal was measured a s a function of temperature at various values of the hydrostatic pressure, and a s a function of press u r e at various temperatures. The electric permittivity measurements were performed both during heating and cooling. The characteristic permittivity curves were observed to shift towards higher temperatures with growing pressure. At transition from the paraelectric phase to the ferroelectric phase the permittivity values observed in the Curie point are larger than those found for the ferropara transition.Permittivity versus pressure measurements performed at various temperatures showed that the higher the temperature the larger was the pressure required to obtain a phase transition. Fig. 1 shows a linear rise in Curie temperature a s a function of pressure up to 4 kbar, at a rate of dT / d d = deg/bar; at still higher pressures the dependence C

We propose a methodology for risk-aware decision making related to the investment in safety. The methodology consists of probabilistic risk assessment and following cost-benefit analysis upon calculated risk values. We introduce a web-based tool for computing the risk for various safety regimes. The tool makes use of joint fire and evacuation modelling along with Monte Carlo sampling for uncertain or variate input variables. The results include individual as well as societal risk values, related to fatalities or serious injuries. The obtained changes in risk valuesrelated to the applied safety measuresdefine an input for the cost-benefit analysis. The analysis is based on the Life Quality Index and J-value judgement method. As a case study, we used the hotel part of a sevenstory mixed-use building. We designed the methodology to be applicable in day-to-day engineering calculations related to the safety of the building as well as other purposes, such as the introduction of the new product to the market. Therefore, in this article, we focus on the practical aspect of the methodology.

Abstract. Modelling dispersion and determining the range of a danger zone is usually based on empirical models whose limitations simplify the result. Spreading the cloud in industrial space, urban or other irregular area with numerous obstacles, is impossible to predict using these models. The solution in this situation is the use of numerical modelling. CFD allows for consideration of complex geometry, wind flow between elements, gas weight, turbulence in the atmosphere and mass and heat flow in the test area. Such relations illustrate the phenomenon of dispersion in 3d space in a very accessible way, at the same time they allow to show more precisely the characteristic places of residual gas or fast dispersion. The paper presents the possibilities of using numerical simulations for 3d modelling dispersion of ammonia and chlorine in the densely built urban space of Warsaw.