Determination of the static pressure loads on a marine composite panel from strain measurements utilising artificial neural networks

This source preferred by Siamak Noroozi and Mehran Koohgilani

Authors: Ramazani, M., Noroozi, S., Koohgilani, M., Cripps, B. and Sewell, P.

Journal: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment

ISSN: 1475-0902

DOI: 10.1177/1475090212449231

One of the first steps in marine structural design is to calculate wave induced loads and load combinations. In contrast to both hydrostatic and self-weight loads that can be evaluated with a high degree of confidence, it is more difficult to measure in-service hydrodynamic loads generated by sea waves. Direct pressure load measurement techniques can only currently provide data at finite locations while classical analytical techniques require knowledge of all the parameters that influence the load and that each parameter is studied independently. Therefore, a novel technique is required to overcome these limitations by providing a method of measuring the pressure load over large areas with relatively few sensors and minimal data collection. This paper reports on research undertaken to develop an inverse problem approach utilising an Artificial Neural Network (ANN) for the measurement of pressure loads experienced by marine structures. The suitability and performance of utilising an ANN for quantifying the pressure load applied to a marine structure is presented. It was found that the ANN was able to accurately estimate pressure loads applied to up to 12 locations on the structure. It is concluded that the inverse problem approach can be used to estimate applied loads on the marine structure in real-time from strain measurements.

This data was imported from Scopus:

Authors: Ramazani, M.R., Noroozi, S., Koohgilani, M., Cripps, B. and Sewell, P.

Journal: Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment

Volume: 227

Issue: 1

Pages: 12-21

eISSN: 2041-3084

ISSN: 1475-0902

DOI: 10.1177/1475090212449231

One of the first steps in marine structural design is to calculate the wave-induced loads and load combinations. In contrast with both the hydrostatic loads and the self-weight loads which can be evaluated with a high degree of confidence, it is more difficult to measure the in-service hydrodynamic loads generated by sea waves. Direct pressure load measurement techniques can currently provide only data at finite locations while classical analytical techniques require knowledge of all the parameters that influence the load and that each parameter is studied independently. Therefore, a novel technique is required to overcome these limitations by providing a method of measuring the pressure load over large areas with relatively few sensors and minimal data collection. This paper reports research undertaken to develop an inverse problem approach utilising an artificial neural network for measurement of the pressure loads experienced by marine structures. The suitability and performance of utilising an artificial neural network for quantifying the pressure load applied to a marine structure is presented. It was found that the artificial neural network was able to estimate accurately the pressure loads applied to up to 12 locations on the structure. It is concluded that the inverse problem approach can be used to estimate the applied loads on the marine structure in real time from strain measurements. © IMechE 2013.

The data on this page was last updated at 05:17 on May 25, 2020.