• Assessment of mussel shells building solutions: A real-scale application 

      Martínez-García, Carolina; González-Fonteboa, Belén; Carro-López, Diego; Pérez Ordóñez, Juan Luis (Elsevier, 2021)
      [Abstract:] The construction sector is a key generator of greenhouse emissions, so the use of alternative low-emission building materials is a growing tendency. This work describes and analyses an innovative sustainable ...
    • Estimating Adaptive Setpoint Temperatures Using Weather Stations 

      Bienvenido Huertas, José David; Rubio-Bellido, Carlos; Pérez Ordóñez, Juan Luis; Martínez-Abella, Fernando (MDPI, 2019)
      [Abstract] Reducing both the energy consumption and CO2 emissions of buildings is nowadays one of the main objectives of society. The use of heating and cooling equipment is among the main causes of energy consumption. ...
    • Genetic programming to understand the influence of new sustainable powder materials in the fresh performance of cement pastes 

      Rojo-López, Gemma; González-Fonteboa, Belén; Pérez Ordóñez, Juan Luis; Martínez-Abella, Fernando (Elsevier, 2024)
      [Abstract:] This study focused on pastes that incorporate metakaolin, biomass ash, and granite powder as supplementary cementitious materials to obtain specific expressions to predict rheological properties in pastes and ...
    • Mussel shells: A canning industry by-product converted into a bio-based insulation material 

      Martínez-García, Carolina; González-Fonteboa, Belén; Carro-López, Diego; Pérez Ordóñez, Juan Luis (Elsevier, 2020)
      [Abstract:] The canning industry in Galicia produces 25 thousand tonnes of mussel by-product (i.e. unconsumed shells) per year, having a significant environmental impact. Mussel shell becomes suitable for different uses ...
    • Parametric Analysis in Sustainable Self-Compacting Mortars Using Genetic Programming 

      Rojo-López, Gemma; González-Fonteboa, Belén; Pérez Ordóñez, Juan Luis; Martínez-Abella, Fernando (Elsevier, 2023-09-06)
      [Abstract]: This study addresses the capabilities of genetic programming to predict the behaviour of cement-based mixtures by focusing on the influence of quaternary binders (incorporating metakaolin, biomass ash and granite ...