Samenvatting
Self-healing cementitious composites have gained increased attention over the past decades, encouraged by the excessive costs related to manual concrete repair. Thorough investigations on these materials have shown their potential to be applied for real life construction elements. However, the existing methods used to assess the self-healing effectiveness possess several limitations, making an in-situ evaluation of the regained properties practically impossible. This study therefore investigates a non-destructive testing methodology based on ultrasonic wave propagation that can eventually be practically implemented. The sensitivity of ultrasound to the elastic properties of the material under study allows to assess the self-healing effectiveness and discriminate between actual healing, in the sense of mechanical properties restoration, and simple filling of the crack. Moreover, the method is validated and complemented by numerical wave simulations that allow to connect the macroscopically measured wave velocity to the stiffness of the healing products deposited within the crack.
Originele taal-2 | English |
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Artikelnummer | 104683 |
Tijdschrift | Cement and Concrete Composites |
Volume | 133 |
DOI's | |
Status | Published - okt 2022 |
Bibliografische nota
Funding Information:This research is funded by the Vrije Universiteit Brussel through an OZR backup mandate (OZR3776). The financial support is therefore gratefully acknowledged by all authors. The authors wish to express their gratitude to Dr. Alexander Assmann (BASF) for providing the SAP under study and to Yves De Vreese (W. R. Grace & Co.-Conn.) for providing LUDOX® HS40.
Funding Information:
This research is funded by the Vrije Universiteit Brussel through an OZR backup mandate ( OZR3776 ). The financial support is therefore gratefully acknowledged by all authors. The authors wish to express their gratitude to Dr. Alexander Assmann (BASF) for providing the SAP under study and to Yves De Vreese (W. R. Grace & Co.-Conn.) for providing LUDOX® HS40.
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© 2022 Elsevier Ltd
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