Leszek Słowik

Deputy Head of Department/PhD

Building Research Institute

Poland

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Dr. Leszek Słowik is the Deputy Head of Department at the Building Research Institute in Poland. His research areas encompass damage assessment and predictive systems for masonry and reinforced concrete structures, particularly in relation to seismic events and mining activities. His recent publications highlight innovative applications of Bayesian methods and machine learning in evaluating the impact of industrial environments on structural integrity.

Articles (12)

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2025

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2020

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2020

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2020

Collaborators (3)

Leszek Chomacki

Instytut Techniki Budowlanej

POLAND

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Janusz Rusek

AGH University of Science and Technology

POLAND

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Krzysztof Tajduś

Full professor

AGH University of Krakow

POLAND

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Leszek Słowik

Research Interests

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Articles (12)

Bayesian predictive system for assessing the damage intensity of residential masonry buildings under the impact of continuous ground deformation

BNSL GOBNILP algorithm in application to damage intensity prognostic system to RC multistorey residential buildings subjected to negative impacts of the industrial environment of mines

Comparison of the effects of anthropogenic seismic events and natural earthquakes on buried infrastructure network components

Algorytmy wykrywania struktury sieci Bayesa z danych w ocenie ryzyka powstawania uszkodzeń budynków na terenach górniczych

Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines

Paraseismic Resistance Evaluation for Existing Steel Conveyor Bridge Subjected to Mining Tremors

PARASEISMIC RESISTANCE EVALUATION FOR EXISTING STEEL CONVEYOR BRIDGE SUBJECTED TO MINING TREMORS

Selected Artificial Intelligence Methods in the Risk Analysis of Damage to Masonry Buildings Subject to Long-Term Underground Mining Exploitation

Analysis of steel industrial portal frame building subjected to loads resulting from land surface uplift following the closure of underground mines

Determining the Dynamic Resistance of Existing Steel Industrial Hall Structures for Areas with Different Seismic Activity

Extracting structure of Bayesian network from data in predicting the damage of prefabricated reinforced concrete buildings in mining areas

Extracting structure of Bayesian network from data in predicting the damage of prefabricated reinforced concrete buildings in mining areas

Collaborators (3)

Leszek Chomacki

Janusz Rusek

Krzysztof Tajduś

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