Browsing by Author "Silva, Dyorgge Alves"
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- Evaluating airborne sound insulation in dwellings constructed with hollow ceramic blocks under brazilian housing policiesPublication . Ribeiro, Rodrigo Scoczynski; Arnela, Marc; Braz-César, Manuel; Bosse, Rúbia Mara; Silvestro, Laura; Gidrão, Gustavo de Miranda Saleme; Kempka, Mariane; Silva, Dyorgge Alves; Czap, Marcela Maier FariasIn Brazil, there is a shortage of approximately 5.80 million residences, a challenge that intensified during the pandemic. Since 2013, there has been a mandate to implement specific performance criteria in residential constructions. However, many construction firms face difficulties in meeting these standards, especially concerning sound insulation in partition elements. This work aims to assess the airborne sound insulation performance and compliance with legal standards in new residential buildings through measurements and simulations. In particular, subsidized housing units for low-income populations are studied, which are eligible for reduced taxes on building loans. These buildings are typically made of hollow ceramic blocks with vertical perforations as separating walls, a commonly used national building material. Three buildings located in Guarapuava, a southern city in Brazil with a population of approximately 183,000 residents, were selected for this purpose. Measurements were conducted following ISO 16283-1 guidelines, whereas simulations were performed using ISO 12354-1, initially assuming a uniform plate but also exploring an alternative model that considers orthotropic behavior with analytical expressions. The calculations considered both static and dynamic moduli of elasticity. The results indicated that all the units failed to meet the specified standards. The measured (Formula presented.) values were below the required thresholds, obtaining 42 < 45 dB for Building B1, 40 < 45 dB for Building B2, and 38 < 40 dB for Building B3. The predicted (Formula presented.) values agreed well with the measured values when considering orthotropy with a dynamic elastic modulus. However, discrepancies were observed in the spectral analysis, especially at lower and higher frequencies. The findings suggest refraining from employing single-leaf partition walls made of vertical hollow ceramic blocks in such buildings. Improving sound insulation necessitates embracing a comprehensive strategy that takes into account the separating element, flanking paths, and the room geometries.
- Prediction models for rail temperatures validated with experimental measurementsPublication . Frigeri, Ary Vinicius Nervis; Minhoto, Manuel; Piloto, Paulo A.G.; Silva, Dyorgge AlvesRail temperatures play an important role when understanding and predicting rail track instabilities. A rail temperature energy balance model was used, validated with FEA analysis, and compared with field-collected data. Both simplified and Finite Element Analysis (FEA) model are in good agreement. Compared with the collected data, the model reaches an R² of 0.83. Boundary conditions improvements are needed.
- Prediction models for rail temperatures validated with experimental measurementsPublication . Frigeri, Ary Vinicius Nervis; Minhoto, Manuel; Piloto, Paulo A.G.; Silva, Dyorgge AlvesRail temperatures play an important role when understanding and predicting rail track’s instabilities. An energy balance model called CNU was used to simulate rail temperatures, validated with FEA analysis, and compared with field-collected data. The model uses weather data and accounts for the solar position to improve temperature prediction. In addition, a python package is developed to solve the thermal lumped model including specific modifications on the model. Both simplified and Finite Element Analysis (FEA) models are in good agreement. Compared with the collected data, the model reaches an R² of 0.914.
- Rail temperatures models validated with experimental measurementsPublication . Frigeri, Ary Vinicius N.; Minhoto, Manuel; Piloto, P.A.G.; Silva, Dyorgge AlvesRail temperature plays an important role when understanding and predicting thermal buckling. An energy balance model called CNU was used to simulate rail temperatures, validated with FEA analysis, and compared with experimental measurements. The model uses weather data and accounts for the solar position and shadow effect to improve temperature prediction. Furthermore, a python package is developed to solve the thermal lumped model including specific modifications on the model. The results from the simplified model and Finite Element Analysis (FEA) model are in good agreement. Compared with the collected data, the model reaches the value R² of 0.914.