[HTML][HTML] A review of artificial neural networks in the constitutive modeling of composite materials

X Liu, S Tian, F Tao, W Yu - Composites Part B: Engineering, 2021 - Elsevier
Abstract Machine learning models are increasingly used in many engineering fields thanks
to the widespread digital data, growing computing power, and advanced algorithms. The …

The stiffness of living tissues and its implications for tissue engineering

CF Guimarães, L Gasperini, AP Marques… - Nature Reviews …, 2020 - nature.com
The past 20 years have witnessed ever-growing evidence that the mechanical properties of
biological tissues, from nanoscale to macroscale dimensions, are fundamental for cellular …

Mesoscopic and multiscale modelling in materials

J Fish, GJ Wagner, S Keten - Nature materials, 2021 - nature.com
The concept of multiscale modelling has emerged over the last few decades to describe
procedures that seek to simulate continuum-scale behaviour using information gleaned from …

[HTML][HTML] Additive manufacturing in construction: A review on processes, applications, and digital planning methods

A Paolini, S Kollmannsberger, E Rank - Additive manufacturing, 2019 - Elsevier
The application of additive manufacturing (AM) in construction has been increasingly
studied in recent years. Large robotic arm-and gantry-systems have been created to print …

[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021

JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo… - Journal of Traffic and …, 2021 - Elsevier
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …

Phase-field modeling of fracture

JY Wu, VP Nguyen, CT Nguyen, D Sutula… - Advances in applied …, 2020 - Elsevier
Fracture is one of the most commonly encountered failure modes of engineering materials
and structures. Prevention of cracking-induced failure is, therefore, a major concern in …

A review of nonlinear FFT-based computational homogenization methods

M Schneider - Acta Mechanica, 2021 - Springer
Since their inception, computational homogenization methods based on the fast Fourier
transform (FFT) have grown in popularity, establishing themselves as a powerful tool …

[HTML][HTML] Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process …

M Bayat, O Zinovieva, F Ferrari, C Ayas… - Progress in Materials …, 2023 - Elsevier
Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …

Development of an ABAQUS plugin tool for periodic RVE homogenisation

SL Omairey, PD Dunning, S Sriramula - Engineering with Computers, 2019 - Springer
EasyPBC is an ABAQUS CAE plugin developed to estimate the homogenised effective
elastic properties of user created periodic representative volume element (RVE), all within …

A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials

K Matouš, MGD Geers, VG Kouznetsova… - Journal of Computational …, 2017 - Elsevier
Since the beginning of the industrial age, material performance and design have been in the
midst of innovation of many disruptive technologies. Today's electronics, space, medical …