Multiscale computational solid mechanics: data and machine learning

TH Su, SJ Huang, JG Jean, CS Chen - Journal of Mechanics, 2022 - academic.oup.com
Multiscale computational solid mechanics concurrently connects complex material physics
and macroscopic structural analysis to accelerate the application of advanced materials in …

Applying full-field measurement techniques for the thermomechanical characterization of shape memory alloys: a review and classification

D Delpueyo, A Jury, X Balandraud… - Shape Memory and …, 2021 - Springer
Full-field measurement techniques are now mature. As such, they have profoundly impacted
the experimental mechanics community in recent years. The way that shape memory alloys …

[HTML][HTML] Ti30Zr10Hf10Ni35Cu15 high-entropy shape memory alloy with tunable transformation temperature and elastocaloric performance by heat treatment

YT Chang, MH Lee, MW Chu, YT Hsu… - Materials Today Advances, 2023 - Elsevier
This work investigates the influence of heat treatments on a pseudo-binary Ti 30 Zr 10 Hf 10
Ni 35 Cu 15 high-entropy shape memory alloy. Heat treatments on the alloy resulted in the …

Characterization of interfacial transition zone of fly ash concrete with different coarse-aggregates by optical microscopy and digital image correlation coupled method

Z Gao, D Lei, H Chen, J He, E Kong, Y Xu - Materials Today …, 2023 - Elsevier
The interfacial transition zone (ITZ) plays a significant role in the mechanical behavior of
concrete. For the purpose of improving the strength of concrete, the influences of four kinds …

Modeling and control analysis of an arc-shaped SMA actuator using PID, sliding and integral sliding mode controllers

AM Khan, Y Kim, B Shin, MH Moghadam… - Sensors and Actuators A …, 2022 - Elsevier
This paper presents approximate model-based sliding and integral control for an arc-shaped
Shape Memory Alloy (SMA) actuator. This actuator is fabricated by using a SMA wire which …

[HTML][HTML] Direct data-driven algorithms for multiscale mechanics

E Prume, C Gierden, M Ortiz, S Reese - Computer Methods in Applied …, 2025 - Elsevier
We propose a randomized data-driven solver for multiscale mechanics problems which
improves accuracy by esca** local minima and reducing dependency on metric …

Phase estimation via riesz transform in laser speckle interferometry for large-area damage imaging

RY Fong, FG Yuan - NDT & E International, 2022 - Elsevier
A direct phase estimation (DPE) via Riesz transform from a speckle pattern (images) for
visualizing barely visible impact damage (BVID) occurring in layered composites is …

Model-free data-driven identification algorithm enhanced by local manifold learning

TH Su, JG Jean, CS Chen - Computational Mechanics, 2023 - Springer
Reliable and consistent material data identification is essential to the data-driven
computational mechanics paradigm. This paper presents a generalized data-driven …

A data-driven method for the deformation analysis of layered rocks

F Feng, D Yang, Q Jiang - International Journal of Rock Mechanics and …, 2025 - Elsevier
This paper proposes a data-driven method for the deformation analysis of layered rocks,
which consists of generating a stress–strain database and using a data-driven …

Backstep** control of novel arc-shaped SMA actuator

AM Khan, B Shin, M Usman, Y Kim - Microsystem Technologies, 2022 - Springer
In this paper, we present modeling and control of a novel arc-shaped Shape Memory Alloy
(SMA) actuator. The arc-shaped SMA actuator is developed to provide rotational motion with …