PMID- 37448054 OWN - NLM STAT- PubMed-not-MEDLINE DCOM- 20230717 LR - 20230718 IS - 1424-8220 (Electronic) IS - 1424-8220 (Linking) VI - 23 IP - 13 DP - 2023 Jul 6 TI - Experimental Investigations of Distributed Fiber Optic Sensors for Water Pipeline Monitoring. LID - 10.3390/s23136205 [doi] LID - 6205 AB - Water Loss (WL) is a global issue. In Italy, for instance, WL reached 36.2% of the total fresh water conveyed in 2020. The maintenance of a water supply system is a strategic task that requires a huge amount of investment every year. In this work, we focused on the use of Distributed Fiber Optic Sensors (DFOS) based on Stimulated Brillouin Scattering (SBS) technology for monitoring water pipeline networks. We worked on High-Density Polyethylene (HDPE) pipes, today the most widely used for creating water pipelines. By winding and fixing the optic fiber cable on the pipe's external surface, we verified the ability to detect strain related to pressure anomalies along a pipeline, e.g., those caused by water leakage. We performed two experimental phases. In the first one, we assessed the sensibility of sensor layout on an HDPE pipeline solicited with static pressure. We investigated the viscoelastic rheology of the material by calibrating and validating the parameters of a Burger model, in which Maxwell and Kelvin-Voigt models are connected in series. In the second experimental phase, instead, we focused on the detection of the pressure anomaly produced by leakage in a pipeline circuit set up with running water moved by a pump. The theoretical and experimental studies performed returned overall positive feedback on the use of DFOS for the monitoring of HDPE water pipelines. Future developments will be focused on more detailed studies of this monitoring solution and on the industrial production of "natively smart" HDPE pipes in which DFOS cables are integrated into the pipeline surface during the extrusion process. FAU - Bertulessi, Manuel AU - Bertulessi M AUID- ORCID: 0000-0003-0574-7325 AD - Civil and Environmental Engineering Department, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy. FAU - Bignami, Daniele Fabrizio AU - Bignami DF AUID- ORCID: 0000-0002-1971-5538 AD - Fondazione Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy. FAU - Boschini, Ilaria AU - Boschini I AUID- ORCID: 0000-0002-5350-4873 AD - Civil and Environmental Engineering Department, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy. FAU - Longoni, Marina AU - Longoni M AD - Civil and Environmental Engineering Department, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy. FAU - Menduni, Giovanni AU - Menduni G AUID- ORCID: 0000-0002-7006-0880 AD - Civil and Environmental Engineering Department, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy. FAU - Morosi, Jacopo AU - Morosi J AD - Cohaerentia S.r.l, Via Pinturicchio 5, 20131 Milano, Italy. LA - eng PT - Journal Article DEP - 20230706 PL - Switzerland TA - Sensors (Basel) JT - Sensors (Basel, Switzerland) JID - 101204366 RN - 9002-88-4 (Polyethylene) RN - 059QF0KO0R (Water) SB - IM MH - *Polyethylene MH - *Water Supply MH - Fiber Optic Technology MH - Water MH - Fresh Water PMC - PMC10346350 OTO - NOTNLM OT - Brillouin DFOS OT - pipeline health monitoring OT - smart pipe OT - water leakage detection COIS- The authors declare no conflict of interest. EDAT- 2023/07/14 13:07 MHDA- 2023/07/17 06:42 PMCR- 2023/07/06 CRDT- 2023/07/14 01:26 PHST- 2023/06/13 00:00 [received] PHST- 2023/06/30 00:00 [revised] PHST- 2023/07/04 00:00 [accepted] PHST- 2023/07/17 06:42 [medline] PHST- 2023/07/14 13:07 [pubmed] PHST- 2023/07/14 01:26 [entrez] PHST- 2023/07/06 00:00 [pmc-release] AID - s23136205 [pii] AID - sensors-23-06205 [pii] AID - 10.3390/s23136205 [doi] PST - epublish SO - Sensors (Basel). 2023 Jul 6;23(13):6205. doi: 10.3390/s23136205.