scholarly journals Approximate upper limit of irregular wave runup on riprap / by John P. Ahrens, Martha S. Heimbaugh.

1988 ◽  
Author(s):  
John. Ahrens ◽  
Martha S. Heimbaugh ◽  
◽  
◽  
Keyword(s):  
Wave Runup ◽  
Irregular Wave ◽  
Upper Limit

The Signal Generated by an Insect in a Spider's Web

1965 ◽  
Vol 43 (1) ◽  
pp. 185-192
Author(s):  
D. A. PARRY
Keyword(s):  
Linear Response ◽  
Wave Form ◽  
Irregular Wave ◽  
Prey Recognition ◽  
Upper Limit ◽  
Fast Transients ◽  
Sudden Release ◽  
House Spider ◽  
Rotational Oscillations ◽  
The Web

1. There is evidence that web-spinning spiders discriminate between prey and artifacts in their webs, and that the signal involved is a mechanical one. As a contribution to our understanding of the basis of this discrimination, an analysis has been made of the natural signal generated by an insect in the web of the British house spider Tegenaria atrica. 2. The signal investigated was frequency-limited to 1 kc./sec, this being the upper limit of the linear response of the specially designed transducer. 3. The signal has an irregular wave-form with most of the energy lying below 50 cyc./sec. Damped transverse and rotational oscillations of the mass of the spider in the compliance of the web have been recognized. In addition there are ‘fast transients’, most likely due to the sudden release of tension in the web by slight movements of the insect. 4. The possibility that the fast transients form the basis of prey-recognition is being investigated.

Irregular Wave Runup and Overtopping

1978 ◽  
Vol 104 (4) ◽  
pp. 439-442
Author(s):  
John P. Ahrens ◽  
Martin F. Titus
Keyword(s):  
Wave Runup ◽  
Irregular Wave

Time-Averaged Probabilistic Model for Irregular Wave Runup on Permeable Slopes

2008 ◽  
Vol 134 (2) ◽  
pp. 88-96 ◽  
Author(s):  
Nobuhisa Kobayashi ◽  
Francisco J. de los Santos ◽  
Peter G. Kearney
Keyword(s):  
Probabilistic Model ◽  
Wave Runup ◽  
Irregular Wave

scholarly journals Irregular wave runup statistics on plane beaches: Application of a Boussinesq-type model incorporating a generating–absorbing sponge layer and second-order wave generation

2016 ◽  
Vol 114 ◽  
pp. 309-324 ◽  
Author(s):  
Colm J. Fitzgerald ◽  
Paul H. Taylor ◽  
Jana Orszaghova ◽  
Alistair G.L. Borthwick ◽  
Colin Whittaker ◽  
...  
Keyword(s):  
Wave Generation ◽  
Second Order ◽  
Type Model ◽  
Wave Runup ◽  
Irregular Wave ◽  
Sponge Layer

Irregular Wave Runup on Riprap Revetments

1988 ◽  
Vol 114 (4) ◽  
pp. 524-530 ◽  
Author(s):  
John P. Ahrens ◽  
Martha S. Heimbaugh
Keyword(s):  
Wave Runup ◽  
Irregular Wave

scholarly journals WAVE RUNUP ON DIKES AND BEACHES

2012 ◽  
Vol 1 (33) ◽  
pp. 19 ◽  
Author(s):  
Jill Pietropaolo ◽  
Nobuhisa Kobayashi ◽  
Jeffry A. Melby
Keyword(s):  
The United States ◽  
Measured Data ◽  
Wave Transformation ◽  
Period Effect ◽  
Wave Runup ◽  
Peak Period ◽  
Practical Applications ◽  
Irregular Wave ◽  
Coastal Flood ◽  
Coastal Features

In the United States, the Federal Emergency Management Agency (FEMA) is in the process of updating its coastal flood risk maps in order to determine which locations are threatened by storm surge and wave action. These maps require the prediction of extreme wave runup. A method for predicting the runup height along the entire coast must be robust, reliable, and applicable to many different coastal features. Kobayashi et al. (2008) developed a time-average probabilistic model that predicts wave runup statistics instead of the time series of shoreline elevation. This numerical cross-shore model, CSHORE, is extended to the wet-dry zone above the still water level to predict irregular wave runup on impermeable dikes and gentle impermeable slopes. To show the CSHORE’s capability in predicting runup on beaches with different geometries, the computed results from the model are compared to measured data from a variety of experiments. CSHORE is tested against 40 wave runup tests on an impermeable dike on a barred beach, 97 wave runup tests on an impermeable dike with a gently sloping beach, and 120 tests for wave runup on gentle uniform slopes. The measured 2% and 1% exceedence runup heights are predicted within errors of about 20%. The spectral significant wave height, Hmo, and a representative period are used for input to CSHORE. The measured and computed cross-shore variations of Hmo are also computed and compared to measured data to show the capabilities and limitations of CSHORE in regards to predicting to wave transformation. Both the spectral period, Tm-1,0, and the peak period Tp at x = 0 are adapted as representative periods used in CSHORE to assess the period effect in CSHORE. The tested CSHORE is ready for practical applications such as FEMA’s coastal flood mapping, and is a good practical choice because it can be used to predict beach and dune profile changes.

Numerical Modeling of Wave Runup on Coastal Structures and Beaches

1999 ◽  
Vol 33 (3) ◽  
pp. 33-37 ◽  
Author(s):  
Nobuhisa Kobayashi
Keyword(s):  
Numerical Models ◽  
Three Dimensional ◽  
Finite Amplitude ◽  
Random Waves ◽  
Wave Runup ◽  
Coastal Structures ◽  
Irregular Wave ◽  
Quantitative Understanding ◽  
Incident Waves ◽  
Marine Engineers

The quantitative understanding of regular and irregular wave runup on inclined coastal structures and beaches has improved considerably for the last decade owing to the improved laboratory and field experimental capabilities followed by the development of time-dependent numerical models. Numerical models based on the finite-amplitude shallow-water equations including the effects of bottom friction have been verified fairly extensively using laboratory and field data. The capabilities and limitations of the models are summarized so that marine engineers and scientists may be able to apply them effectively. The existing models are practically limited to normally incident waves on coastal structures and beaches of alongshore uniformity. The extension of these models to directional random waves on coastal structures and beaches of arbitrary three-dimensional geometry will be challenging numerically.

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