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