Volume 22 Number 7 Special Issue on Artificial Intelligence, Sensing and Big Data Analytics in Earthquake Engineering

  • Guest editorial for the special issue on artificial intelligence, sensing and big data analytics in earthquake engineering

    Eleni Smyrou, İhsan E. Bal & Vasilis Sarhosis

  • Seismic response of bridges employing knowledge-enhanced neural networks for the lumped plasticity modelling of RC piers

    Zhenliang Liu, Anxin Guo, Cunbao Zhao & Anastasios Sextos

  • Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions

    Giorgia Giardina, Valentina Macchiarulo, Fatemeh Foroughnia, Joshua N. Jones, Michael R. Z. Whitworth, Brandon Voelker, Pietro Milillo, Camilla Penney, Keith Adams & Tracy Kijewski-Correa

  • Automated image-based generation of finite element models for masonry buildings

    Bryan German Pantoja-Rosero, Radhakrishna Achanta & Katrin Beyer

  • Rapid seismic response prediction of rocking blocks using machine learning

    Zeinep Achmet, Spyridon Diamantopoulos & Michalis Fragiadakis

  • Comparison between Bayesian updating and approximate Bayesian computation for model identification of masonry towers through dynamic data

    Silvia Monchetti, Cecilia Viscardi, Michele Betti & Francesco Clementi

  • Generative adversarial networks review in earthquake-related engineering fields

    Giuseppe Carlo Marano, Marco Martino Rosso, Angelo Aloisio & Giansalvo Cirrincione

  • A dual Kriging-XGBoost model for reconstructing building seismic responses using strong motion data

    Eusef Abdelmalek-Lee & Henry Burton

  • Evolutionary numerical model for cultural heritage structures via genetic algorithms: a case study in central Italy

    Georgios Panagiotis Salachoris, Gianluca Standoli, Michele Betti, Gabriele Milani & Francesco Clementi

  • Earthquake scenarios for building portfolios using artificial neural networks: part II—damage and loss assessment

    Petros Kalakonas & Vitor Silva

  • Earthquake scenarios for building portfolios using artificial neural networks: part I—ground motion modelling

    Petros Kalakonas & Vitor Silva