Machine learning aided durability and safety analyses on cementitious composites and structures

Volume: 160, Pages: 165 - 181
Published: Sep 1, 2019
Abstract
The adverse impacts of material deterioration on structural durability and human safety have become increasingly recognised. This paper is concerned with novel metamodeling on the degradation of cementitious composites and structures under environmental attacks. The material deterioration represents a chemophysical process, consisting of the reactive transportations of multiple species. Various coupling effects and associated uncertainties, both...
Paper Details
Title
Machine learning aided durability and safety analyses on cementitious composites and structures
Published Date
Sep 1, 2019
Volume
160
Pages
165 - 181
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