[HTML][HTML] Adhesively bonded joints–a review on design, manufacturing, experiments, modeling and challenges
This paper provides a state-of-the-art review on adhesively bonded joints (ABJs) for
composite materials and structures, with a focus on the open literatures from 2016 to 2023 to …
composite materials and structures, with a focus on the open literatures from 2016 to 2023 to …
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
Backbreak is a rock fracture problem that exceeds the limits of the last row of holes in an
explosion operation. Excessive backbreak increases operational costs and also poses a …
explosion operation. Excessive backbreak increases operational costs and also poses a …
[HTML][HTML] A parametric study of adhesive bonded joints with composite material using black-box and grey-box machine learning methods: Deep neuron networks and …
The aerospace, automotive and marine industries have witnessed a rapid increase of using
adhesive bonded joints due to their advantages in joining dissimilar and/or new engineering …
adhesive bonded joints due to their advantages in joining dissimilar and/or new engineering …
On adhesively bonded joints with a mixed failure mode—An experimental and numerical study
Cohesive zone model (CZM) has been extensively used to study interfacial failure behaviors
such as fracture of adhesively bonded joints (ABJs). Accurate and efficient identification of …
such as fracture of adhesively bonded joints (ABJs). Accurate and efficient identification of …
Design optimisation of braided composite beams for lightweight rail structures using machine learning methods
Braided composites have seen substantial industrial uptake for structural applications in the
past decade. The dependence of their properties on braid angle provides opportunities for …
past decade. The dependence of their properties on braid angle provides opportunities for …
Machine learning/finite element analysis-A collaborative approach for predicting the axial impact response of adhesively bonded joints with unique sandwich …
Despite the increasing usage of adhesively bonded joints (ABJs) in various industries,
optimization of their bond strength in a cost-effective manner remains a challenging task …
optimization of their bond strength in a cost-effective manner remains a challenging task …
[HTML][HTML] A novel genetic expression programming assisted calibration strategy for discrete element models of composite joints with ductile adhesives
Discrete element (DE) model has a great feasibility in modelling the microstructural
behaviours of adhesive composite joints. However, it demands a sophisticated calibration …
behaviours of adhesive composite joints. However, it demands a sophisticated calibration …
Parametric investigation of bonded composite joints under Mode II using a new methodology based on design of experiments
JAP da Silva, LFM da Silva, AJM Ferreira… - The Journal of …, 2024 - Taylor & Francis
In the pursuit of a sustainable future with limited resources and growing environmental
concerns, adhesive joining stands out as a pivotal technology for the advancement of …
concerns, adhesive joining stands out as a pivotal technology for the advancement of …
Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation
Adhesively bonded joints have been extensively employed in the aeronautical and
automotive industries to join thin-layer materials for develo** lightweight components. To …
automotive industries to join thin-layer materials for develo** lightweight components. To …
[HTML][HTML] Estimating microscale DE parameters of brittle adhesive joints using genetic expression programming
Particle-based model has strength and flexibility in modelling the microstructures of
adhesives and interface in adhesive joints. In this work, a procedure with genetic expression …
adhesives and interface in adhesive joints. In this work, a procedure with genetic expression …