Víctor D. Fachinotti
- Automatic generation of high-fidelity representative volume elements and computational homogenization for the determination of thermal conductivity in foamed concretes. Dans: Materials and Structures, v. 56, n. 10 (3 novembre 2023). (2023):
- Early-stage analysis of a novel insulation material based on MPCM-doped cementitious foam: Modelling of properties, identification of production process hotspots and exploration of performance trade-offs. Dans: Developments in the Built Environment, v. 16 (décembre 2023). (2023):
- Atomistic simulations, meso-scale analyses and experimental validation of thermal properties in ordinary Portland cement and geopolymer pastes. Dans: Computers & Structures, v. 285 (septembre 2023). (2023):
- Computational design of a Massive Solar-Thermal Collector enhanced with Phase Change Materials. Dans: Energy and Buildings, v. 274 (novembre 2022). (2022):
- Generation of typical meteorological years for the Argentine Littoral Region. Dans: Energy and Buildings, v. 129 (octobre 2016). (2016):
- Residential building design optimisation using sensitivity analysis and genetic algorithm. Dans: Energy and Buildings, v. 133 (décembre 2016). (2016):
- A computational multi-objective optimization method to improve energy efficiency and thermal comfort in dwellings. Dans: Energy and Buildings, v. 154 (novembre 2017). (2017):
- Prediction of wind pressure coefficients on building surfaces using artificial neural networks. Dans: Energy and Buildings, v. 158 (janvier 2018). (2018):
- Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review. Dans: Energy and Buildings, v. 217 (juin 2020). (2020):
- An efficient metamodel-based method to carry out multi-objective building performance optimizations. Dans: Energy and Buildings, v. 206 (janvier 2020). (2020):
- Inverse finite element modeling of shells using the degenerate solid approach. Dans: Computers & Structures, v. 157 (septembre 2015). (2015):