Experimental facility dedicated to detection and prediction of penstock fatigue induced by pressure oscillations

Abstract Hydroelectric powerplants play a vital role in the electricity production mix, especially during the ongoing energy transition towards renewable sources. However, they face operational challenges due to harmful stress loading of various components. Ensuring safe operation remains essential for people’s safety, electricity supply, and costs avoidance. The study focuses on penstocks and pipelines material damaging caused by fatigue, crack initiation and propagation. These critical components are often several decades old and expensive to refurbish or replace. Cycling loading, induced by pressure oscillations during start-stop or transient operations, accelerates material fatigue. Steel lining corrodes over time, and welds may contain original defects. To address this, a new testing facility that generates controlled cyclic pressure oscillations using the water hammer effect has been built. This specific closed-loop circuit allows accelerated fatigue testing of material probes, providing insights into crack initiation and propagation. The test rig operating principle is described while its 1D numerical model is introduced and validated with measurement data. The prediction of crack incipience and rupture of a tubular specimen with a pre-machined longitudinal weakening is in the end compared with the results of a fatigue test conducted on the test bench.

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2024-11-01
DOI
https://doi.org/10.1088/1755-1315/1411/1/012039
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
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article

Experimental facility dedicated to detection and prediction of penstock fatigue induced by pressure oscillations

Vlad Hasmatuchi, Samuel Rey-Mermet, Cécile Münch-Alligné, Christophe Nicolet et al.
IOP Conference Series Earth and Environmental Science
Water Systems and Optimization
article

Experimental facility dedicated to detection and prediction of penstock fatigue induced by pressure oscillations

Vlad Hasmatuchi, Samuel Rey-Mermet, Cécile Münch-Alligné, Christophe Nicolet, R Rittiner, S Pires-Boyer, C L Lecointre
article en

Abstract

Abstract Hydroelectric powerplants play a vital role in the electricity production mix, especially during the ongoing energy transition towards renewable sources. However, they face operational challenges due to harmful stress loading of various components. Ensuring safe operation remains essential for people’s safety, electricity supply, and costs avoidance. The study focuses on penstocks and pipelines material damaging caused by fatigue, crack initiation and propagation. These critical components are often several decades old and expensive to refurbish or replace. Cycling loading, induced by pressure oscillations during start-stop or transient operations, accelerates material fatigue. Steel lining corrodes over time, and welds may contain original defects. To address this, a new testing facility that generates controlled cyclic pressure oscillations using the water hammer effect has been built. This specific closed-loop circuit allows accelerated fatigue testing of material probes, providing insights into crack initiation and propagation. The test rig operating principle is described while its 1D numerical model is introduced and validated with measurement data. The prediction of crack incipience and rupture of a tubular specimen with a pre-machined longitudinal weakening is in the end compared with the results of a fatigue test conducted on the test bench.

IOP Conference Series Earth and Environmental ScienceVol. 1411(1)
ESI Group (Switzerland) (CH), HES-SO Valais-Wallis (CH)
Openalex Percentile: Top 39%
Water Systems and Optimization
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Experimental facility dedicated to detection and prediction of penstock fatigue induced by pressure oscillations — Vlad Hasmatuchi, Samuel Rey-Mermet, et al. · IOP Conference Series Earth and Environmental Science (2024) | TGRS Research Map | TGRS