Wave based damage detection in solid structures using spatially asymmetric encoder–decoder network

F Wuttke, H Lyu, AS Sattari, ZH Rizvi - Scientific reports, 2021 - nature.com
The identification of structural damages takes a more and more important role within the
modern economy, where often the monitoring of an infrastructure is the last approach to …

Experimental study of enzyme-induced carbonate precipitation for high temperature applications by controlling enzyme activity

H Wang, L Miao, X Sun, L Wu, G Fan - Geomicrobiology Journal, 2022 - Taylor & Francis
Biomineralization is a popular reinforcement technology, but which is rarely studied at high
temperatures. Some potential application targets are high-temperature environments. So it's …

Discrete element model for the failure analysis of partially saturated porous media with propagating cracks represented with embedded strong discontinuities

M Nikolić - Computer methods in applied mechanics and …, 2022 - Elsevier
A novel, fully coupled hydro-mechanical model for the failure analysis of partially saturated
porous media is presented. Failure mechanisms pertain to propagating discontinuities, ie …

Discrete softening-damage model for fracture process representation with embedded strong discontinuities

J Čarija, M Nikolić, A Ibrahimbegovic… - Engineering fracture …, 2020 - Elsevier
A damage softening model is implemented into a discrete lattice framework with embedded
strong discontinuities for the discontinuous representation of fracture. Such a model fits …

[HTML][HTML] Fracture of bio-cemented sands

C Konstantinou, E Martínez-Pañeda, G Biscontin… - Extreme Mechanics …, 2023 - Elsevier
Bio-chemical reactions enable the production of biomimetic materials such as sandstones.
In the present study, microbiologically-induced calcium carbonate precipitation (MICP) is …

Soft and hard computation methods for estimation of the effective thermal conductivity of sands

ZH Rizvi, HH Zaidi, SJ Akhtar, AS Sattari… - Heat and Mass …, 2020 - Springer
Thermal properties of sand are of importance in numerous engineering and scientific
applications ranging from energy storage and transportation infrastructures to underground …

Comparison of Machine Learning and gPC-based proxy solutions for an efficient Bayesian identification of fracture parameters

M Šodan, A Urbanics, N Friedman, A Stanic… - Computer Methods in …, 2025 - Elsevier
Fracture parameters play an important role in accurately simulating fracture propagation
phenomena, which are highly nonlinear and sensitive to various parameters. The main …

Study of wave propagation in discontinuous and heterogeneous media with the dynamic lattice method

AS Sattari, ZH Rizvi, HDB Aji, F Wuttke - Scientific reports, 2022 - nature.com
The development of a new dynamic lattice element method (dynamicLEM) as well as its
application in the simulation of the propagation of body waves in discontinuous and …

Artificial neural networks and their applications in computational materials science: A review and a case study

S Xiao, J Li, SPA Bordas, TY Kim - Advances in Applied Mechanics, 2023 - Elsevier
Current advances in artificial intelligence (AI), especially machine learning and deep
learning, provide an alternative approach to problem-solving for engineers and scientists in …

Numerical models of pressure-driven fluid percolation in rock salt: nucleation and propagation of flow pathways under variable stress conditions

K Yoshioka, A Sattari, M Nest, RM Günther… - Environmental Earth …, 2022 - Springer
Success of our ongoing energy transition largely depends on subsurface exploitation. The
subsurface can act as a “battery” to store energy dense fluids such as hydrogen, or a “host” …