방파제 피복석 신뢰성 설계를 위한 인공신경망

Title
방파제 피복석 신뢰성 설계를 위한 인공신경망
Alternative Title
Artificial Neural Network for Reliability Based Design of Breakwater Armor Layers
Author(s)
김동현; 박우선
KIOST Author(s)
Park, Woo Sun(박우선)
Publication Year
2003-09-24
Abstract
Some neural network stability models for rubble mound breakwaters are proposed and analyzed. The proposed models give the more reliable results than the well known van der Meer’s formula. Among them, the neural network model having the slope angle and the wave steepness as independent inputs shows the best performance. But the neural network model having independent input parameter for significant wave height, significant period is found not to be useful for the design of rubble mound breakwater because the design parameters exceed the training data ranges. In addition, a reliability analysis technique using the trained neural network model is proposed. Based on two analysis examples, it was found that van der Meer’s formula gives the larger or smaller failure probabilities than the neural network models. Therefore, one should be very careful in making a decision whether the designed armor units are safe or not if he/she uses only empirical formula. To avoid this situation, it is heavily recommended that more advanced models such as the neural network model proposed here should be simultaneously considered.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/32187
Bibliographic Citation
KORDI-PARI Joint Workshop on Coastal Disaster Prevention, pp.23 - 28, 2003
Publisher
한국해양연구원
Type
Conference
Language
English
Publisher
한국해양연구원
Related Researcher
Research Interests

Development of harbor structures,Analysis of harbor structures,Design of harbor structures,항만구조물개발,항만구조물해석,항만구조물설계

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