Laura De Lorenzis


Last Name

De Lorenzis

First Name

Laura

ORCID

0000-0003-2748-3287

Organisational unit

09697 - De Lorenzis, Laura / De Lorenzis, Laura

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Publications 1 - 10 of 173
  • Phase-field modeling of ductile fracture
    Item type: Journal Article
    Ambati, Marreddy; Gerasimov, Tymofiy; De Lorenzis, Laura (2015)
    Computational Mechanics
  • Stochastic homogenized effective properties of three-dimensional composite material with full randomness and correlation in the microstructure
    Item type: Journal Article
    Ma, Juan; Zhang, Suqin; Wriggers, Peter; et al. (2014)
    Computers & Structures
  • Isogeometric collocation: Neumann boundary conditions and contact
    Item type: Journal Article
    De Lorenzis, Laura; Evans, John A.; Hughes, Thomas J.R.; et al. (2015)
    Computer Methods in Applied Mechanics and Engineering
  • The influence of geometrical and rheological non-linearity on the calculation of rubber friction
    Item type: Journal Article
    Scaraggi, Michele; Comingio, Davide; Al-Qudsi, Ahmad; et al. (2016)
    Tribology International
  • Fracture in concrete: X-ray tomography with in-situ testing, digital volume correlation and phase-field modeling
    Item type: Journal Article
    Mishra, Akanksha; Carrara, Pietro; Griffa, Michele; et al. (2026)
    Cement and Concrete Research
    We test and simulate the mesoscopic cracking behavior of specimens made of a standard concrete mixture. To this end, we combine stable wedge-splitting fracture experiments performed during X-ray tomography, their analysis with digital volume correlation providing the full three-dimensional displacement field, and phase-field cohesive fracture modeling. In our computations, we apply the measured boundary conditions and model the actual heterogeneous material structure at the mesoscopic scale. Within the phase-field model, we explicitly distinguish among (thus individually represent) the mesostructural features of distinct material phases with size above a threshold of 1 mm, while we homogenize pores and finer aggregates below this threshold within the cementitious mortar matrix, with material parameters characterized accordingly. We compare experimental and numerical results in terms of both local and global quantities.
  • Automated discovery of hyperelastic material models
    Item type: Conference Paper
    De Lorenzis, Laura (2025)
    Constitutive Models for Rubbers XIII
    This paper reviews the recent research on automated discovery of hyperelastic material models carried out by the group of the author and collaborators. Overall, this research proposes a shift in paradigm, moving away from the classical calibrationof the unknown parameters in an a priori chosen material model, towards the new task of model discovery, i.e. simultaneous selection of the most appropriate model and calibration of its unknown parameters, by leveraging tools such as sparse, Bayesian or symbolic regression. Detailed aspects including choice of the modeling space, type of data, objective function, optimization method and physics constraints are discussed in a modular fashion. Avenues for future research are highlighted.
  • Predicting crack nucleation and propagation in brittle materials using Deep Operator Networks with diverse trunk architectures
    Item type: Journal Article
    Kiyani, Elham; Manav, Manav; Kadivar, Nikhil; et al. (2025)
    Computer Methods in Applied Mechanics and Engineering
    Phase-field modeling reformulates fracture problems as energy minimization problems and enables a comprehensive characterization of the fracture process, including crack nucleation, propagation, merging and branching, without relying on ad-hoc assumptions. However, the numerical solution of phase-field fracture problems is characterized by a high computational cost. To address this challenge, in this paper, we employ a deep neural operator (DeepONet) consisting of a branch network and a trunk network to solve brittle fracture problems. We explore three distinct approaches that vary in their trunk network configurations. In the first approach, we demonstrate the effectiveness of a two-step DeepONet, which results in a simplification of the learning task. In the second approach, we employ a physics-informed DeepONet, whereby the mathematical expression of the energy is integrated into the trunk network's loss to enforce physical consistency. The integration of physics also results in a substantially smaller data size needed for training. In the third approach, we replace the neural network in the trunk with a Kolmogorov–Arnold Network and train it without the physics loss. Using these methods, we model crack nucleation in a one-dimensional homogeneous bar under prescribed end displacements, as well as crack propagation and branching in single edge-notched specimens with varying notch lengths subjected to tensile and shear loading. We show that the networks predict the solution fields accurately and the error in the predicted fields is localized near the crack.
  • A segmentation-free isogeometric extended mortar contact method
    Item type: Journal Article
    Duong, Thang X.; De Lorenzis, Laura; Sauer, Roger A. (2019)
    Computational Mechanics
  • Lattice Boltzmann for linear elastodynamics: Periodic problems and Dirichlet boundary conditions
    Item type: Journal Article
    Boolakee, Oliver Anwar; Geier, Martin; De Lorenzis, Laura (2025)
    Computer Methods in Applied Mechanics and Engineering
    We propose a new second-order accurate lattice Boltzmann formulation for linear elastodynamics that is stable for arbitrary combinations of material parameters under a CFL-like condition. The construction of the numerical scheme uses an equivalent first-order hyperbolic system of equations as an intermediate step, for which a vectorial lattice Boltzmann formulation is introduced. The only difference to conventional lattice Boltzmann formulations is the usage of vector-valued populations, so that all computational benefits of the algorithm are preserved. Using the asymptotic expansion technique and the notion of pre-stability structures we further establish second-order consistency as well as analytical stability estimates. Lastly, we introduce a second-order consistent initialization of the populations as well as a boundary formulation for Dirichlet boundary conditions on 2D rectangular domains. All theoretical derivations are numerically verified by convergence studies using manufactured solutions and long-term stability tests.
  • Structural study of masonry buttresses: the stepped form
    Item type: Journal Article
    De Lorenzis, Laura; Dimitri, Rossana; Ochsendorf, John (2012)
    Proceedings of the Institution of Civil Engineers - Structures and Buildings
Publications 1 - 10 of 173