Herramientas de análisis y predicción del comportamiento de buque atracado en operaciones de carga y descargaaplicación a los Puertos Interior y Exterior de A Coruña

  1. Figuero Pérez, Andrés
Supervised by:
  1. Enrique Peña Co-director
  2. José Sande Co-director

Defence university: Universidade da Coruña

Fecha de defensa: 07 September 2020

Committee:
  1. Jerónimo Puertas Chair
  2. María Clavero Gilabert Secretary
  3. Xavi Gironella Committee member
Department:
  1. Civil Engineering

Type: Thesis

Teseo: 633675 DIALNET lock_openRUC editor

Abstract

The efficiency of a vessel’s cargo operation in port mainly depends on its behavior at berth, being this a determining factor in the operability. Although there are regulations proposing acceptable movement thresholds, their general application means that they do not properly match the characteristics of all ports. Traditionally, the behavior of moored ships has been analyzed by means of physical and numerical modeling, and there are few examples of field studies due to their involved difficulties. Taking this need into account, this doctoral thesis presents the development and validation of two low‐cost, easy‐to‐use and easy‐to‐install tools for in‐situ evaluation of moored vessel motions. They are based on the adaptation of two widely used technologies in engineering, such as inertial measurement units (IMU) and computer vision. The application of these techniques in intensive ship monitoring campaigns during their operation at the Inner and Outer Port of A Coruña, both with different characteristics, confirmed the versatility of these tools. In addition, their potential as an effective way for analyzing the influence of forcing agents on the problems affecting a specific port has been demonstrated. The obtained results have shown the real operating conditions of the ships, highlighting the need to update or particularize the movement thresholds of the regulations. Additionally, a methodology has been applied for moored ship motions predictive tools development in a specific facility, based on records of observed motions and meteorological and ocean data. This result constitutes a significant advance towards the development of decision‐making systems to contribute in the management of a port