📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A parametric study of adhesive bonded joints with composite material using black-box and grey-box machine learning methods: Deep neuron networks and genetic programming (2021)

First Author: Gu Z

Attributed to: Failure process and optimal design of hybrid adhesive joints - a microscale experimental and numerical approach funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.compositesb.2021.108894

Publication URI: http://dx.doi.org/10.1016/j.compositesb.2021.108894

Type: Journal Article/Review

Parent Publication: Composites Part B: Engineering