Abstract
Wave reflection from berm breakwaters is an area less focused as these structures are generally considered to have relatively low reflection levels. However, the reflected waves may compromise the stability of the structure by inducing scour at the toe and may enhance harbour access risk (Zanuttigh et al., 2013). Hence, it is necessary that the reflection coefficients are predicted accurately. Several empirical formulas such as Postma (1989), Alikhani (2000), Zanuttigh and Van der Meer (2008) and Van der Meer and Sigurdarson (2016) have been suggested for the prediction of wave reflection, Kr. In this study, physical model tests were conducted to supplement the existing berm breakwater data sets in the CLASH database (Zanuttigh et al., 2016). The measured reflection coefficients were then compared with those of the existing formulas to evaluate their performance.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/WXIoa_ae-1Y
Highlights
Wave reflection from berm breakwaters is an area less focused as these structures are generally considered to have relatively low reflection levels
A reason for this could be that the Postma (1989) and Alikhani (2000) formulas include mostly the primary governing variables while the others include more structural and hydraulic parameters
The latter are developed from a database that is less representative of berm breakwaters
Summary
Wave reflection from berm breakwaters is an area less focused as these structures are generally considered to have relatively low reflection levels. It is necessary that the reflection coefficients are predicted accurately Several empirical formulas such as Postma (1989), Alikhani (2000), Zanuttigh and Van der Meer (2008) and Van der Meer and Sigurdarson (2016) have been suggested for the prediction of wave reflection, Kr. In this study, physical model tests were conducted to supplement the existing berm breakwater data sets in the CLASH database (Zanuttigh et al, 2016). The measured reflection coefficients were compared with those of the existing formulas to evaluate their performance. COMPARISON OF MESURED AND ESTIMATED VALUES The performances of the existing Kr formulas (Table 1) were examined by comparing the predicted values (Kr_est) with the measured data (Kr_meas) from the physical model tests (from this study).
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
