Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Reliability-based code calibration of local buckling strength design of pultruded GFRP I- and H-section columns

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2024

Reliability-based code calibration of local buckling strength design of pultruded GFRP I- and H-section columns

0 Datasets

0 Files

English
2024
Engineering Structures
Vol 318
DOI: 10.1016/j.engstruct.2024.118687

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Nuno Silvestre
Nuno Silvestre

University of Lisbon

Verified
André Dias Martins
A.P. Teixeira
João R. Correia
+2 more

Abstract

This paper presents and discusses a reliability-based code calibration (RBCC) procedure for the determination of optimal partial safety factors to be employed in the semi-probabilistic design rules of pultruded Glass Fibre-Reinforced Polymer (pGFRP) columns, susceptible to local buckling, considered in the technical specification CEN/TS 19101: 2022, Design of Fibre-Polymer Composite Structures. First, the description of the two distinct resistance models for local buckling of I- and H-section columns adopted in CEN/TS 19101:2022 is presented. Next, attention is turned to the detailed presentation of the procedure to perform a RBCC, including all the relevant data, with emphasis to all the probabilistic models adopted. Next, the results obtained by applying the RBCC procedure are presented and discussed. Lastly, the paper closes with the presentation of relevant concluding remarks and recommends the partial safety factors for I- and H-section pGFRP columns susceptible to local buckling triggered by the web and flanges.

How to cite this publication

André Dias Martins, A.P. Teixeira, João R. Correia, Nuno Silvestre, Mário F. Sá (2024). Reliability-based code calibration of local buckling strength design of pultruded GFRP I- and H-section columns. Engineering Structures, 318, pp. 118687-118687, DOI: 10.1016/j.engstruct.2024.118687.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2024

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

Engineering Structures

DOI

10.1016/j.engstruct.2024.118687

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access