Mw 6.4 Petrinja earthquake in Croatia: Main earthquake parameters, impact on buildings and recommendation for their structural strengthening

Strong Mw 6.4 Petrinja earthquake from 29.12.2020. took 7 lives and caused catastrophic damage in the Banovina area. The paper presents and analyses the most important earthquake parameters and highlights their importance in understanding the damage and demolition of buildings, as well as creating an optimal structure for their reconstruction. A contribution is made to the understanding of the complex mechanism of earthquake formation through the analysis of the stress-strain state in a rock mass during tectonic plate conflict. The causes of demolition and damage to buildings are explained by the combination of the properties of their structure, soil and the earthquake itself. Solutions for optimal structure of new buildings, as well as solutions for structural renovation of damaged buildings are proposed and described.

Assessment and Management of Technical and Production Risks in Industry

Industrial companies have always paid close attention to the continuity of production and technological processes. Technical and production risks, such as equipment damage, accidents, natural disasters can have a significant impact on production processes, lead to injury to people, environmental pollution. Managing these risks means investing substantial funds in upgrading, repairing and reconstructing assets. However, these investments have different economic effects. Proper prioritization of risks and measures for their management, based on the concept of risk-income, proposed in this article, can significantly improve the efficiency of risk management, reduce the degree of uncertainty, protect the organization from catastrophic damage.

An ETL Pipeline for Disaster Response

Natural disasters such as floods, forest fires, and hurricanes can cause catastrophic damage to human life and infrastructure. We focus on response to hurricanes caused by both river water lodging and storm surge. Using models for storm surge simulation and flood extent prediction, we generate forecasts about areas likely to be highly affected by the disaster. Further, we overlay the simulation results with information about tragic incidents to correlate tragic incidents with other data modality. We present these results in a modularized, interactive map-based visualization, which can help emergency responders to better plan and coordinate disaster response.

Evaluation of Friction Models for Rotor-Rubbing Predictions

Rubbing, in turbomachinery, is a phenomenon difficult to identify and predict. Rubbing is a sudden event that can cause catastrophic damage, therefore, it is necessary to have good prediction models. In order to predict this phenomenon, several models have been proposed which are based on representing rubbing as an external friction force acting on the rotor. The work presented here includes the results of two experiments. In the first one, the accelerations of a rotor rubbing a fixed spot were recorded. In the second experiment, the accelerations and the friction force were measured. All the data were analyzed using the Continuous Wavelet Transform and the data from the second experiment were used for estimating the friction force. It was found that modelling the stiffness of the system as a Fourier Series gives better results than other models.