Sürdürülebilir Kalkınma Amaçları
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Yayınlar
- Kitap BölümüAçık Erişim2022Poverty and City Safety
Alacadağli, Esmeray
Children are people’s gateway to the future; they are 30.3% of the world’s population. Childhood is a stage that has a great impact on adulthood and children being healthy individuals. For this reason, child poverty and childhood conditions are very important for individual and community life. Cities are places where people live, and more than 50% of the world’s population lives there. In the cities, whose numbers and sizes have increased over time, the crimes committed have also increased and diversified. For this reason, it has become increasingly difficult to provide urban security today. The aim of this study is to show the relationship between child poverty and urban safety, by carrying out an overview of the global perspective and examining the case of Turkey. Copyright 2022 Esmeray Alacadağlı Published under exclusive licence by Emerald Publishing Limited.
- MakaleYalnız künye2016Scopus SJRQ2ANN based investigations of reliabilities of the models for concrete under triaxial compression
Öztekin, Ertekin
Purpose - A lot of triaxial compressive models for different concrete types and different concrete strength classes were proposed to be used in structural analyses. The existence of so many models creates conflicts and confusions during the selection of the models. In this study, reliability analyses were carried out to prevent such conflicts and confusions and to determine the most reliable model for normal- and high-strength concrete (NSC and HSC) under combined triaxial compressions. The paper aims to discuss these issues. Design/methodology/approach - An analytical model was proposed to estimate the strength of NSC and HSC under different triaxial loadings. After verifying the validity of the model by making comparisons with the models in the literature, reliabilities of all models were investigated. The Monte Carlo simulation method was used in the reliability studies. Artificial experimental data required for the Monte Carlo simulation method were generated by using artificial neural networks. Findings - The validity of the proposed model was verified. Reliability indexes of triaxial compressive models were obtained for the limit states, different concrete strengths and different lateral compressions. Finally, the reliability indexes were tabulated to be able to choose the best model for NSC and HSC under different triaxial compressions. Research limitations/implications - Concrete compressive strength and lateral compression were taken as variables in the model. Practical implications - The reliability indexes were tabulated to be able to choose the best model for NSC and HSC under different triaxial compressions. Originality/value - A new analytical model was proposed to estimate the strength of NSC and HSC under different triaxial loadings. Reliability indexes of triaxial compressive models were obtained for the limit states, different concrete strengths and different lateral compressions. Artificial experimental data were obtained by using artificial neural networks. Four different artificial neural networks were developed to generate artificial experimental data. They can also be used in the estimations of the strength of NSC and HSC under different triaxial loadings.
AtıfScopus5WoS5OpenAlex6
İncele - DergiEngineering Computations (Swansea, Wales)