Journal ArticleDOI
Wave group statistics from numerical simulations of a random sea
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TLDR
In this paper, two commonly used methods of simulating random time series, given a target power spectrum, are discussed, and the wave group statistics such as the mean length of runs of high waves, produced by the different simulation schemes are compared.About:
This article is published in Applied Ocean Research.The article was published on 1985-04-01. It has received 40 citations till now. The article focuses on the topics: Sea state & Random field.read more
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Statistics of bicoherence and biphase
Steve Elgar,Gloria Sebert +1 more
TL;DR: In this article, the bias, variance, and probability distributions of estimates of bicoherence and biphase as functions of the true bicoherency and number of degrees of freedom (dof) used in the estimates are presented.
Journal ArticleDOI
Wave-to-Wire Model and Energy Storage Analysis of an Ocean Wave Energy Hyperbaric Converter
Paula B. Garcia-Rosa,José Paulo V. S. Cunha,Fernando Lizarralde,Segen F. Estefen,Isaac R. Machado,Edson H. Watanabe +5 more
TL;DR: In this article, a wave energy hyperbaric converter, which consists of a set of oscillating bodies (named as pumping modules) linked to hydropneumatic accumulators and an electric generating unit, is presented.
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A review of the analyses of ocean wave groups
TL;DR: In this article, the most common parameters and functions used to characterize wave groups in linear seas are reviewed and interrelated in a unified manner, and the theoretical estimates used to demonstrate the relationships between the various parameters must be considered as only first-order trends to parameter estimates computed from real wave data.
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An experimental study of large waves in intermediate and shallow water depths. Part I: Wave height and crest height statistics
TL;DR: In this article, a series of laboratory observations undertaken in a purpose-built wave flume was used to simulate a range of realistic ocean spectra evolving over a number of mild bed slopes (m ).
Wave Runup and Overtopping on Beaches and Coastal Structures
Abstract: : Wave runup and overtopping on inclined coastal structures and wave runup on beaches are reviewed together to examine the ranges of wave runup processes occurring on slopes of different inclinations. Laboratory experiments on regular wave runup and overtopping on coastal structures are reviewed first to provide historical perspec- tive. More recent laboratory experiments on irregular wave runup and overtopping on coastal structures are summarized to show the improved quantitative understanding due to the improved capabilities for irregular wave experiments. Field experiments on wave runup on beaches are then reviewed to discuss the possible dominance and causes of low frequency shoreline oscillations on gently sloping beaches. The recent development of time dependent numerical models is reviewed to indicate the rapid progress of the numerical capabilities of predicting irregular wave runup on inclined coastal structures and beaches. This review indicates that the improved quantitative understanding of irregular wave runup and overtopping on inclined coastal structures and irregular wave runup on beaches has essentially been limited to normally incident waves on coastal structures and beaches of alongshore uniformity. Future experimental and numerical studies are suggested in this review.
References
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Journal ArticleDOI
Mathematical analysis of random noise
TL;DR: In this paper, the authors used the representations of the noise currents given in Section 2.8 to derive some statistical properties of I(t) and its zeros and maxima.
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Numerical simulation of a random sea: a common error and its effect upon wave group statistics
TL;DR: In this paper, a commonly used method of simulating ocean waves from a specified frequency spectrum is shown to be incorrect, and the error arises from assuming that the amplitudes of these component sine waves are deterministic, when they are in fact random variables.
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Groups of waves in shallow water
TL;DR: In this paper, the authors compared linear wave group statistics predicted by linear theories with numerical simulations, and found that these theories are not generally valid for ocean data because of many assumptions and simplifications beyond linearity and random phase or because their range of applicability does not include the vast majority of ocean conditions.