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Predicting airborne chloride deposition in marine bridge structures using an artificial neural network model
- Source :
- Construction and Building Materials. 337:127623
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
Details
- ISSN :
- 09500618
- Volume :
- 337
- Database :
- OpenAIRE
- Journal :
- Construction and Building Materials
- Accession number :
- edsair.doi...........9ba681285343b4b769e2bf59474427b5