commit 14b36ed5e179578e46258c6523102cf039384eee
parent d3b282710a950671cef757caebd3ae1849538967
Author: Ivan Gankevich <igankevich@ya.ru>
Date: Wed, 17 May 2017 13:47:54 +0300
Add outline.
Diffstat:
| arma.org | | | 48 | +++++++++++++++++++++++++++++++++++------------- |
1 file changed, 35 insertions(+), 13 deletions(-)
diff --git a/arma.org b/arma.org
@@ -1,4 +1,4 @@
-#+TITLE: Simulation of standing and propagating ocean waves with three-dimensional ARMA model
+#+TITLE: Simulation of standing and propagating sea waves with three-dimensional ARMA model
#+AUTHOR: Ivan Gankevich, Alexander Degtyarev
#+LANGUAGE: en
#+LATEX_CLASS: scrartcl
@@ -6,17 +6,39 @@
#+OPTIONS: H:2 num:0 todo:nil toc:nil
#+begin_abstract
-Simulation of ocean waves is a problem appearing in the framework of developing
+Simulation of sea waves is a problem appearing in the framework of developing
software-based ship motion modelling applications. These applications generally
use linear wave theory to generate small-amplitude waves programmatically and
-determine impact of external excitations on the ship. Using linear wave theory
-is feasible for ocean waves, but is not accurate for shallow-water and storm
-waves. In this paper we introduce new autoregressive moving-average (ARMA) model
-to cope these shortcomings. The new model allows generating waves of arbitrary
-amplitudes, is accurate for both shallow and deep water, and its software
-implementation shows superior performance by relying on fast Fourier transform
-family of algorithms. Integral characteristics of wavy surface produced by ARMA
-model are verified against the ones of real ocean surface. Despite all its
-advatages, ARMA model requires a new method to determine wave pressures, a
-two-dimensional version of which is included in the paper.
-#+end_abstract
+determine impact of external excitations on a ship hull. Using linear wave
+theory is feasible for ocean waves, but is not accurate for shallow-water and
+storm waves. In this paper we introduce new autoregressive moving-average (ARMA)
+model to cope with these shortcomings. The new model allows to generate waves of
+arbitrary amplitudes, is accurate for both shallow and deep water, and its
+software implementation shows superior performance by relying on fast Fourier
+transform family of algorithms. Integral characteristics of wavy surface
+produced by ARMA model are verified against the ones of real sea surface.
+Despite all its advantages, ARMA model requires a new method to determine wave
+pressures, an instance of which is included in the paper.
+#+end_abstract
+
+* Introduction
+* Related work
+* Three-dimensional ARMA process as a sea wave simulation model
+** Autoregressive (AR) process
+** Moving average (MA) process
+** Mixed autoregressive moving average (ARMA) process
+** The shape of ACF for different types of waves
+** Evaluation
+** Discussion
+* Determining wave pressures for discretely given wavy surface
+** Two-dimensional case
+** Three-dimensional case
+** Evaluation
+** Discussion
+* High-performance software implementation for heterogeneous platforms
+** White noise generation
+** Wavy surface generation
+** Velocity potential field computation
+** Evaluation
+** Discussion
+* Conclusion
