2002
DOI: 10.1016/s0378-3839(01)00038-2
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Stem waves along vertical wall due to random wave incidence

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Cited by 19 publications
(12 citation statements)
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“…연파특성을 검토한 기존 연구의 대부분은 직립구조물을 대상으로 월파가 발생하지 않는 조건에서 규칙파(monochromatic wave), 불규칙파(random wave), 고립파(solitary wave) 및 크노이드파(cnoidal wave) 등을 적용하여 수치해 석 및 수리실험을 통해 검토하였다 (Perroud, 1957;Melville, 1980;Yue and Mei, 1980;Berger and Kohlhase, 1976;Liu and Yoon, 1986;Yoon and Liu, 1989;Mase et al, 2002). …”
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“…연파특성을 검토한 기존 연구의 대부분은 직립구조물을 대상으로 월파가 발생하지 않는 조건에서 규칙파(monochromatic wave), 불규칙파(random wave), 고립파(solitary wave) 및 크노이드파(cnoidal wave) 등을 적용하여 수치해 석 및 수리실험을 통해 검토하였다 (Perroud, 1957;Melville, 1980;Yue and Mei, 1980;Berger and Kohlhase, 1976;Liu and Yoon, 1986;Yoon and Liu, 1989;Mase et al, 2002). …”
unclassified
“…Mase et al (2002) performed both laboratory experiments and numerical simulations on stem waves along a vertical wall for the case of unidirectional random waves, and investigated changes of stem wave characteristics associated with incident wave conditions. The numerical model employed by Mase et al (2002) was a nonlinear parabolic approximation equation model based on the so-called spectral KP (Kadomtsev and Petviashvili, 1970) equation extended to deep water.…”
Section: Introductionmentioning
confidence: 99%
“…Mase et al (2002) performed both laboratory experiments and numerical simulations on stem waves along a vertical wall for the case of unidirectional random waves, and investigated changes of stem wave characteristics associated with incident wave conditions. The numerical model employed by Mase et al (2002) was a nonlinear parabolic approximation equation model based on the so-called spectral KP (Kadomtsev and Petviashvili, 1970) equation extended to deep water. By comparing measured and calculated wave heights 15 along the wall with the linear diffraction solution of the Sommerfeld theory (Sommerfeld, 1896), Mase et al (2002) showed that measured wave heights along a wall decreased much faster after reaching a peak than those predicted by the nonlinear numerical model or the linear diffraction solution.…”
Section: Introductionmentioning
confidence: 99%
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