Recent Submissions

  • CECM: a continuous empirical cubature method with application to the dimensional hyperreduction of parameterized finite element models 

    Hernández Ortega, Joaquín Alberto; Bravo Martínez, José Raúl; Ares de Parga Regalado, Sebastian (Elsevier, 2024-01)
    Article
    Open Access
    We propose a method for finding optimal quadrature/cubature rules with positive weights for parameterized functions in 1D, 2D or 3D spatial domains. The method takes as starting point the values of the functions at the ...
  • Life-cycle analysis of last-mile parcel delivery using autonomous delivery robots 

    Lemardele, Clement; Pinheiro Melo, Sofia; Cerdas, Felipe; Herrmann, Christoph; Estrada Romeu, Miguel Ángel (2023-08)
    Article
    Open Access
    The acceleration of global e-commerce brings an increasing environmental burden to urban last-mile logistics. Autonomous delivery robots (ADRs) have often been considered as an attractive solution to this challenge but, ...
  • Models and explanatory variables in modelling failure for drinking water pipes to support asset management: a mixed literature review 

    Forero Ortiz, Edwar Andres; Martínez Gomariz, Eduardo; Sánchez Juny, Martí; Cardús González, Jaume; Cucchietti, Fernando; Baque Viader, Ferran; Sàrrias Monton, Miquel (Springer, 2023-10-13)
    Article
    Open Access
    There is an increasing demand to enhance infrastructure asset management within the drinking water sector. A key factor for achieving this is improving the accuracy of pipe failure prediction models. Machine learning-based ...
  • Analysis and comparison of the infrastructure report cards as a decision making tool for sustainable development 

    Boix Cots, David; Pardo Bosch, Francesc; Pujadas Álvarez, Pablo (Multidisciplinary Digital Publishing Institute (MDPI), 2023-09)
    Article
    Open Access
    Infrastructure plays a pivotal role in a nation’s economic and societal progress. However, due to the substantial expenses and the constraints of a limited government budget, the need to assess the condition of each ...
  • Empirical Interscale Finite Element Method (EIFEM) for modeling heterogeneous structures via localized hyperreduction 

    Hernández Ortega, Joaquín Alberto; Giuliodori Picco, Agustina; Soudah Prieto, Eduardo (Elsevier, 2024-01)
    Article
    Open Access
    This work proposes a special type of Finite Element (FE) technology – the Empirical Interscale FE method – for modeling heterogeneous structures in the small strain regime, for both dynamic and static analyses. The method ...
  • Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021 

    Mclaughlin, S; Dalton, Benjamin; Haidar Ahmad, Dima; Ahmad, Shahid; Ahmadi, Abolfaz; Aljahdali, Hani Moaiteq; Andrei, C.O.; Al Badawi, Ahmad; Bagherieh, Sara; Bhaskar, Sonu; Cho, Wonjun; Chu, Dewei; Díaz Sánchez, Daniel; Feng, Xiaodong; Ben Hassen, M.; Heidari, Majid; Hossain, Md Abid; Hosseinzadeh, Mohammad Reza; Ben-Yehuda, Muli; Hussain, Syed Asad; Kilic, Mukremin; Iqbal Begum, Awais; Jain, Rahul; Joseph, Augustine; Kebede, S; Koyanagi, Ai; Kumar, Haresh; Kundu, Swarup; Larsson, A.; Lee, Wonyoung; Anchalee, Puengnim; Lopes, Gonçalo; Mahmoud, Malak Maher Fawzy; Cusmai, Adriel; Makris, K G; Malik Ara, Ibrar; Al Mamun, Abdullah; Martini, Séverine; Marzo Lafuente, Rafael; Mossialos, E; Mueller, Ute; Panagiotakos, Demosthenes; Patel, J M; Rahmani, Saman; Rashidi Meybodi, Mehdi; Riaz, Maryam; Salemsafi, Sanam; Sahebkar, Amirhossein; Salehi, Maryam; Salomón Arquedas, Juan Carlos; Sanabria, José A.; Schlaich, Mike; Singh, Parvesh; Soleimani, Hesam; Patan, Krzysztof; Tyrovolas, Stefanos; Vaziri, Sam; Verma, Manish; Bozhevolnyi, Sergey I; Moniruzzaman, Shaikh; Zare, Iman; Zoladl, Mohammad; Zou, ZhiXiang; Vos, Tanja; Marateb, Hamid Reza (2023-06)
    Article
    Open Access
    Background Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global ...
  • An accurate approach to simulate friction stir welding processes using adaptive formulation refinement 

    Venghaus, Henning; Chiumenti, Michele; Baiges Aznar, Joan; Juhre, Daniel; Castañar Pérez, Inocencio (Elsevier, 2023-07-07)
    Article
    Restricted access - publisher's policy
    A novel Adaptive Formulation Refinement (AFR) strategy for Friction Stir Welding (FSW) problems is presented. In FSW, the accurate computation of strains is crucial to correctly predict the highly non-linear material ...
  • Offshore electrical grid layout optimization for floating wind: a review 

    Kallinger, Magnus Daniel; Rapha, José Ignacio; Trubat Casal, Pau; Domínguez-García, José Luis (2023-09)
    Article
    Open Access
    Electrical grid layout optimization should consider the placements of turbines and substations and include effects such as wake losses, power losses in cables, availability of different cable types, reliability-based power ...
  • Potential of retrofitted urban green infrastructure to reduce runoff: a model implementation with site-specific constraints at neighborhood scale 

    Aparicio Uribe, Carlos Humberto; Bonilla Brenes, Ricardo; Hack, Jochen (2022-03)
    Article
    Open Access
    The urbanization has resulted in significant changes in the water balance. Urban Green Infrastructures (UGI) have become a promising method for reducing reoccurring floods whilst providing additional social and ecological ...
  • Dataset of the temperature rise during granular flows in a rotating drum 

    Nazareth López, Rafael; Kisuka, Francisco; Hare, Colin; Vivacqua, Vincenzino; Franci, Alessandro; Oñate Ibáñez de Navarra, Eugenio; Wu, Chuan Yu (Elsevier, 2023-06)
    Article
    Open Access
    This paper provides experimental data on the temperature rise during granular flows in a small-scale rotating drum due to heat generation. All heat is believed to be generated by conversion of some mechanical energy, through ...
  • Combining synthetic and observed data to enhance machine learning model performance for streamflow prediction 

    López Chacón, Sergio Ricardo; Salazar González, Fernando; Bladé i Castellet, Ernest (Multidisciplinary Digital Publishing Institute (MDPI), 2023-06)
    Article
    Open Access
    Machine learning (ML) models have been shown to be valuable tools employed for streamflow prediction, reporting considerable accuracy and demonstrating their potential to be part of early warning systems to mitigate flood ...
  • Is entropy an indicator of port traffic predictability? The evidence from Chinese ports 

    Li, Chuchu; Lin, Qin; Huang, Dong; Grifoll Colls, Manel; Yang, Dong; Feng, Hongxiang (2023-02)
    Article
    Restricted access - publisher's policy
    Historical time-series data of container traffic in ports are characterised by strong randomness that causes the time-series prediction performance to vary significantly. In this sense, the prediction accuracy differs as ...

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