AIMC Topic: Finite Element Analysis
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Tendon Stress Estimation from Strain Data of a Bridge Girder Using Machine Learning-Based Surrogate Model.
Sensors (Basel, Switzerland)
May 24, 2023
Prestressed girders reduce cracking and allow for long spans, but their construction requires complex equipment and strict quality control. Their accurate design depends on a precise knowledge of tensioning force and stresses, as well as monitoring t...
Prediction of Bone Healing around Dental Implants in Various Boundary Conditions by Deep Learning Network.
International journal of molecular sciences
Jan 18, 2023
Tissue differentiation varies based on patients' conditions, such as occlusal force and bone properties. Thus, the design of the implants needs to take these conditions into account to improve osseointegration. However, the efficiency of the design p...
A strategy to formulate data-driven constitutive models from random multiaxial experiments.
Scientific reports
Dec 23, 2022
We present a test technique and an accompanying computational framework to obtain data-driven, surrogate constitutive models that capture the response of isotropic, elastic-plastic materials loaded in-plane stress by combined normal and shear stresse...
Elasticity imaging using physics-informed neural networks: Spatial discovery of elastic modulus and Poisson's ratio.
Acta biomaterialia
Nov 17, 2022
Elasticity imaging is a technique that discovers the spatial distribution of mechanical properties of tissue using deformation and force measurements under various loading conditions. Given the complexity of this discovery, most existing methods appr...
Historical evolution and new trends for soil-intruder interaction modeling.
Bioinspiration & biomimetics
Nov 9, 2022
Soil is a crucial resource for life on Earth. Every activity, whether natural or man-made, that interacts with the sub or deep soil can affect the land at large scales (e.g. geological risks). Understanding such interactions can help identify more su...
Development and model form assessment of an automatic subject-specific vertebra reconstruction method.
Computers in biology and medicine
Oct 5, 2022
BACKGROUND: Current spine models for analog bench models, surgical navigation and training platforms are conventionally based on 3D models from anatomical human body polygon database or from time-consuming manual-labelled data. This work proposed a w...
Kirigami-Inspired Programmable Soft Magnetoresponsive Actuators with Versatile Morphing Modes.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Sep 30, 2022
Untethered soft magnetoresponsive actuators (SMRAs), which can realize rapid shape transformation, have attracted widespread attention for their strategic applications in exploration, transportation, and minimally invasive medicine. It remains a chal...
Automated irreversible electroporated region prediction using deep neural network, a preliminary study for treatment planning.
Electromagnetic biology and medicine
Aug 22, 2022
The primary purpose of cancer treatment with irreversible electroporation (IRE) is to maximize tumor damage and minimize surrounding healthy tissue damage. Finite element analysis is one of the popular ways to calculate electric field and cell kill p...
A minimally designed soft crawling robot for robust locomotion in unstructured pipes.
Bioinspiration & biomimetics
Jul 8, 2022
Soft robots have attracted increasing attention due to their excellent versatility and broad applications. In this article, we present a minimally designed soft crawling robot (SCR) capable of robust locomotion in unstructured pipes with various geom...
Multi-fidelity surrogate modeling through hybrid machine learning for biomechanical and finite element analysis of soft tissues.
Computers in biology and medicine
Jun 9, 2022
Biomechanical simulation enables medical researchers to study complex mechano-biological conditions, although for soft tissue modeling, it may apply highly nonlinear multi-physics theories commonly implemented by expensive finite element (FE) solvers...
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