AIMC Topic: Materials Testing
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The research explores the predictive capacity of the shear strength of reinforced concrete walls with different cross-sectional shapes using the XGBoost model.
PloS one
Nov 27, 2024
Structurally, the lateral load-bearing capacity mainly depends on reinforced concrete (RC) walls. Determination of flexural strength and shear strength is mandatory when designing reinforced concrete walls. Typically, these strengths are determined t...
Evaluation of a novel robotic testing method for stability and kinematics of total knee arthroplasty.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Oct 24, 2024
PURPOSE: This work developed a novel preclinical test of total knee replacements (TKRs) in order to explain TKR instability linked to patient dissatisfaction. It was hypothesized that stability tests on the isolated moving prostheses would provide no...
A machine learning system for artificial ligaments with desired mechanical properties in ACL reconstruction applications.
Journal of the mechanical behavior of biomedical materials
Aug 22, 2024
The anterior cruciate ligament is one of the important tissues to maintain the stability of the human knee joint, but it is difficult for this ligament to self-heal after injury. Consequently, transplantation of artificial ligaments (ALs) has gained ...
Improving accuracy and efficiency of the machined PEEK denture based on NSGA-II integrated GABP neural network.
Dental materials : official publication of the Academy of Dental Materials
Aug 10, 2024
OBJECTIVES: The polymer polyetheretherketone (PEEK) is gradually being used in dental restorations because of its excellent mechanical properties, chemical resistance, fatigue resistance, thermal stability, radiation translucency and good biocompatib...
Tensile strength analysis of additively manufactured CM 247LC alloy specimen by employing machine learning classifiers.
PloS one
Jul 29, 2024
Using a cutting-edge net-shape manufacturing technique called Additive Layer Manufacturing (ALM), highly complex components that are not achievable with conventional wrought and cast methods can be produced. As a result, the aerospace sector is payin...
Design of Co-Cured Multi-Component Thermosets with Enhanced Heat Resistance, Toughness, and Processability via a Machine Learning Approach.
Macromolecular rapid communications
Jul 17, 2024
Designing heat-resistant thermosets with excellent comprehensive performance has been a long-standing challenge. Co-curing of various high-performance thermosets is an effective strategy, however, the traditional trial-and-error experiments have long...
Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials.
Cardiovascular engineering and technology
Jul 2, 2024
BACKGROUND AND OBJECTIVE: Advanced material models and material characterization of soft biological tissues play an essential role in pre-surgical planning for vascular surgeries and transcatheter interventions. Recent advances in heart valve enginee...
A study of forecasting the Nephila clavipes silk fiber's ultimate tensile strength using machine learning strategies.
Journal of the mechanical behavior of biomedical materials
Jun 26, 2024
Recent advancements in biomaterial research conduct artificial intelligence for predicting diverse material properties. However, research predicting the mechanical properties of biomaterial based on amino acid sequences have been notably absent. This...
Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability.
Journal of the mechanical behavior of biomedical materials
Jun 17, 2024
Currently, the use of autografts is the gold standard for the replacement of many damaged biological tissues. However, this practice presents disadvantages that can be mitigated through tissue-engineered implants. The aim of this study is to explore ...
Predicting concrete strength early age using a combination of machine learning and electromechanical impedance with nano-enhanced sensors.
Environmental research
May 31, 2024
To ensure the structural integrity of concrete and prevent unanticipated fracturing, real-time monitoring of early-age concrete's strength development is essential, mainly through advanced techniques such as nano-enhanced sensors. The piezoelectric-b...
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