Recursive partitioning and Gaussian process regression for the detection and localization of damages in pultruded glass fiber reinforced polymer material

G Boscato, M Civera… - Structural Control and …, 2021 - Wiley Online Library
In this paper, a methodology for the detection and localization of damages in composite
pultruded members is proposed. This is particularly relevant to thin‐walled pultruded …

Recursive partitioning and Gaussian Process Regression for the detection and localization of damages in pultruded Glass Fiber Reinforced Polymer material

G Boscato, M Civera, L Zanotti Fragonara - STRUCTURAL CONTROL & …, 2021 - air.iuav.it
In this paper, a methodology for the detection and localization of damages in composite
pultruded members is proposed. This is particularly relevant to thin-walled pultruded …

Recursive partitioning and Gaussian process regression for the detection and localization of damages in pultruded glass fiber reinforced polymer material

G Boscato, M Civera, L Zanotti Fragonara - dspace.lib.cranfield.ac.uk
In this paper, a methodology for the detection and localization of damages in composite
pultruded members is proposed. This is particularly relevant to thin-walled pultruded …

Recursive partitioning and Gaussian Process Regression for the detection and localization of damages in pultruded Glass Fiber Reinforced Polymer material.

G Boscato, M Civera… - Structural Control & …, 2021 - search.ebscohost.com
In this paper, a methodology for the detection and localization of damages in composite
pultruded members is proposed. This is particularly relevant to thin‐walled pultruded …

Recursive partitioning and Gaussian Process Regression for the detection and localization of damages in pultruded Glass Fiber Reinforced Polymer material

G Boscato, M Civera, L Zanotti Fragonara - … CONTROL & HEALTH …, 2021 - iris.polito.it
In this paper, a methodology for the detection and localization of damages in composite
pultruded members is proposed. This is particularly relevant to thin-walled pultruded …

[PDF][PDF] Recursive partitioning and Gaussian Process Regression for the detection and localization of damages in pultruded Glass Fiber Reinforced Polymer material

G Boscato, M Civera, LZ Fragonara - 2021 - scholar.archive.org
In this paper, a methodology for the detection and localization of damages in composite
pultruded members is proposed. This is particularly relevant to thin-walled pultruded …