Truck accidents are an issue of concern due to their severity. Logit modeling and Neural Network modeling are performed to investigate factors such as vehicle, roadway, environment and driver characteristics that can potentially contribute to the severity of truck accidents. The objective of this study is to present models that can predict the severity of truck accidents and to identify the important factors causing these accidents. Comparison between neural networks and logit modeling are made using vehicle crash data on two-lane rural highways in Iran. A variety of variables related to roadways, vehicles, environment and drivers, such as, driver fatigue, head-on collision and lack of vehicle control, are found to have a significant bearing on the severity of truck accidents. Also, investigating the marginal effects of variables showed the same variables to be significant. The results of the comparison between the logit and neural network model indicated that they both show similar patterns regarding the effects of different variables causing truck accidents, with the logit model providing better results.      

Background: Several factors contribute to accidents in small-scale construction projects (SSCPs). The present study aimed to assess the influential factors in SSCP accidents and introduce a model to predict their frequency. Methods: In total, 38 SSCPs were within the scope of this investigation. The safety index of accident frequency rate (AFR) causing 452 injury construction accidents during 12 years (2007-2018) was analyzed and modeled. Data analysis was performed based on feature selection using Pearson's χ 2 coefficient and SPSS modeler, as well as the artificial neural networks (ANNs) in MATLAB software. Results: Mean AFR was estimated at 26. 32 ± 14. 83, and the results of both approaches revealed that individual factors, organizational factors, training factors, and risk management-related factors could predict the AFR involved in SSCPs. Conclusion: The findings of this research could be reliably applied in the decisionmaking regarding safety and health construction issues. Furthermore, Pearson's correlation-coefficient and ANN modeling are considered to be reliable tools for accident modeling in SSCPs.

In the study, consequences analysis of Akç agaz LPG Facilities accident was conducted. The consequences analysis, modeling studies were performed by the use of EFFECTS 10. 0 Software over two liquefied gas LOC (Loss of Containment) scenarios. One of the scenarios was G1: Instantaneous release corresponding to BLEVE (Boiling Liquid Expanding Vapor Explosion) and the other was G2: Release in 10 min corresponding to UVCE (Unconfined Vapor Cloud Explosion). The highest threat zone distance (1kW/m2 heat radiation distance) was determined as 1699 m, the lethal burn distance as 377 m and distance from the center cloud to threshold overpressure as 342. 46 m with the G1 scenario. French, Italian and Austrian methodologies relating to LUP (Land Use Planning) context of the Seveso Directive, which was not implemented in Turkish legislation, were evaluated for BLEVE of The Akç agaz Accident. Three different modeling approaches for BLEVE including static, dynamic and rupture of the vessel were used and the results were compared to the LUP methodology. The value (height of the fire ball: 273m) closed to the actual accident situation (height of the fire ball: 200-300m) was obtained with the use of the static modeling approach. The distance access to fragments of the tank was calculated as 409 m with the use of rupture of vessel modeling approach which was compatible with the actual accident value (~500m). High lethality, the beginning of lethality, irreversible effects, indirect/reversible effects radius of The Akç agaz Accident were calculated for each country LUP methodology. The determined distances with the use of static BLEVE model correlation were obtained at the highest value again. High lethality radius was determined for French and Italian as 173. 37 m and 86. 13 m, respectively. The LUP methodology used in France is said to be more restrictive based on the large impact distances. On the other hand, when the TOTAL specifications (GS EP SAF 253& 262) are considered, which are dependent on demand but very important, the threshold values for health effects are seen to be much more stringent.

In this study, thermal-hydraulic analysis of partial loss of coolant flow accident in supercritical pressure light water reactor (SCWR) with a new geometric design has been investigated. In the new design, the coolant and moderator circuits are separated. This analysis was performed using the development of a transient-state thermal-hydraulic code in which the equations of mass, momentum, and energy are solved. The porous Media approach is used to solve these equations. By extracting the results of transition modeling, it is observed that in the new geometric design, by separating the coolant and moderator circuits, the maximum fuel clad temperature is lower than the maximum fuel clad temperature value of the previous designs. As in the new design at the end of the transition, the maximum fuel clad temperature has decreased by about 37% compared to the initial state. The result of the calculations in this study shows that the new design, in which the coolant and moderator circuits are separated, has created more safety in a chosen transition.

Nuclear emergency management prioritizes minimizing radioactive releases to protect public health and environmental systems. Radiological incidents can cause widespread ecosystem contamination with multi-generational consequences. This study employs predictive modeling to assess risks across all incident phases using computational tools and analytical methods.This study evaluates a hypothetical accident scenario involving a one-hour atmospheric release of 137Cs from a Russian KLT-40S small modular reactor (SMR) during peak operation in the Chabahar region. Utilizing the RASCAL computational code, a regulatory-endorsed tool for radiological emergency response, the research analyzes the isotope's dispersion dynamics over nine hours.This paper provides both a methodology for identifying hazard zones and a decision-support resource for emergency management officials during incident response. Implementation of fundamental protective actions, based on established protocols and real-time incident conditions, remains the responsibility of local authorities according to quantified risk levels.