Intelligent damage diagnosis in bridges using vibration-based monitoring approaches and machine learning: A systematic review
Rosette Niyirora, Wei Ji, Elyse Masengesho, Jean Munyaneza, Ferdinand Niyonyungu, Ritha Nyirandayisabye
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.1016/j.rineng.2022.100761 ↗
- Volume · Issue · Pages
- 16 · — · 100761-100761
- Publisher
- Elsevier BV
- Article URL
- https://doi.org/10.1016/j.rineng.2022.100761 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
11 Nov 2022
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 11 Nov 2022 | OpenAlex |
Keywords (as given): bridge damage detection; vibration-based condition monitoring; bridge health monitoring; machine learning; structural integrity management; bridge deterioration; uncertainty management
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
X
Based on the recorded HEC dataset applicable to the article's publication date. Listed as X in the HEC list for 2022–23.
- Journal
- Results in Engineering
- Publication date used
- 11 Nov 2022 (OpenAlex publication date)
- Applicable HEC period
- 2022–23 (version 2) · 01 Jul 2022 – 30 Jun 2023
- Category
- X
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- hjrs-2022-23 row 12451
- Verification status
- Verified against source · last verified 16 Oct 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.