Atıf İçin Kopyala
Alan A. R., Bayındır C.
ICAME 2021, Balıkesir, Türkiye, 1 - 03 Eylül 2021, sa.10, ss.1-6
-
Yayın Türü:
Bildiri / Tam Metin Bildiri
-
Basıldığı Şehir:
Balıkesir
-
Basıldığı Ülke:
Türkiye
-
Sayfa Sayıları:
ss.1-6
-
İstanbul Teknik Üniversitesi Adresli:
Evet
Özet
The analysis of wave overtopping and overwash is
fundamental to prevent damage to coastal structures and zones. There are many
studies in the literature on this subject that shed light on today's research
[1-12]. Wave overwash modeling methods are principally based on the prediction
and generation of overtopping parameters as the essential inputs [1-12].
Currently, available methods are inefficient for the evaluation of big
field data. Recording and analyzing these data with efficient sensing are
fundamentally significant for the observation, appraisal, and prevention of
catastrophic results of coastal hazards. For this purpose, new algorithms
should be developed, implemented, and tested. Compressive sensing
technique (CS) is one of the most efficient algorithms that can beat old-style
sensing approaches by utilizing far fewer samples while accomplishing accurate
recovery [13-14]. In this paper, we investigate the possible usage of the CS
for the viable estimation and analysis of wave runup, overtopping, and overwash
for coastal areas. Using the time-series data sets of wave overtopping and
overwash constructed by empirical formulas proposed in [11], we show that CS
may be utilized as a powerful instrument for the estimation, investigation, and
analysis of wave overtopping and overwash in coastal areas and structural
health monitoring. We discuss our results and remark on their importance and
possible usage areas. The results of this study will be useful for the coastal
engineering community in implementing wave runup, overtopping, and overwash
reduction strategies to mitigate coastal hazards and the associated human and
economic losses.