Hybrid reconstruction method for indirect monitoring of an ice load of a steel gate in a cold region

Abstract The steel gate of a hydraulic complex may be subjected to ice loads during freezing periods in cold regions, threatening the gate safety. The ice load on the gate is usually affected by several factors, including the ice thickness, snow cover, and changes in water level and temperature. The ice pressure distribution on the gate cannot be readily estimated by theoretical analysis or empirical formulae. Therefore, structural strain and local ice pressure data were collected over 140 days during the winter of 2016–2017 to investigate the structural deformation and local ice pressure distribution. A hybrid reconstruction method (HCM) was developed for establishing the ice pressure distribution using the monitoring data, and the effectiveness of the HCM was analysed based on several uniform load patterns and the Chebyshev polynomial functions. The ice pressure distributions on the gate were reconstructed during the entire monitoring period, considering the collected data for the lowest temperature of each day. The reconstructed ice pressure distribution, i.e., the equivalent and uniform ice pressure within every individual cell, was lower than 0.1 MPa in most parts of the gate.

[1]  Ioannis G. Tsoulos,et al.  Modifications of real code genetic algorithm for global optimization , 2008, Appl. Math. Comput..

[2]  Cameron W. Coates,et al.  Inverse Method Using Finite Strain Measurements to Determine Flight Load Distribution Functions , 2008 .

[3]  Eliz-Mari Lourens,et al.  On the use of equivalent forces for structural health monitoring based on joint input-state estimation algorithms , 2017 .

[4]  B. Colbourne,et al.  A study on the evaluation of ice loads and pressure distribution using Pressure Indicating Film in ice-structure interaction , 2018, Ocean Engineering.

[5]  David J. Ewins,et al.  Modal Testing: Theory, Practice, And Application , 2000 .

[6]  Geert Lombaert,et al.  Verification of joint input-state estimation for force identification by means of in situ measurements on a footbridge , 2016 .

[7]  Robert E. Gagnon,et al.  Analysis of data from bergy bit impacts using a novel hull-mounted external Impact Panel , 2008 .

[8]  Thomas G. Brown,et al.  Extreme ice load events on the Confederation Bridge , 2010 .

[9]  E. Stander,et al.  Ice Stresses in Reservoirs: Effect of Water Level Fluctuations , 2006 .

[10]  Samir Mustapha,et al.  Reconstruction and Analysis of Impact Forces on a Steel-Beam-Reinforced Concrete Deck , 2016 .

[11]  Qianjin Yue,et al.  ICE-INDUCED JACKET STRUCTURE VIBRATIONS IN BOHAI SEA , 2000 .

[12]  Chyi Hwang,et al.  A simple and efficient real-coded genetic algorithm for constrained optimization , 2016, Appl. Soft Comput..

[13]  Karl Shkhinek,et al.  A method to determine the horizontal ice loads on the vertical steel structures which adfreeze to the ice level , 2014 .

[14]  Per Christian Hansen,et al.  Regularization Tools version 4.0 for Matlab 7.3 , 2007, Numerical Algorithms.

[15]  Tak-Kee Lee,et al.  Field measurement of local ice pressures on the ARAON in the Beaufort Sea , 2014 .

[16]  Kusum Deep,et al.  A real coded genetic algorithm for solving integer and mixed integer optimization problems , 2009, Appl. Math. Comput..

[17]  Bernt J. Leira,et al.  Probabilistic methods for estimation of the extreme value statistics of ship ice loads , 2018 .

[18]  M. Fafard,et al.  Impact of ice type on predicted ice load for dams , 2015 .

[19]  George Comfort,et al.  Static ice loads on dams , 2003 .

[20]  Garry Timco,et al.  Measuring global impact forces on the CCGS Terry Fox with an inertial measurement system called MOTAN , 2008 .

[21]  Roger Skjetne,et al.  A method for real-time estimation of full-scale global ice loads on floating structures , 2018 .

[22]  Nedim Tutkun,et al.  Parameter estimation in mathematical models using the real coded genetic algorithms , 2009, Expert Syst. Appl..

[23]  Youxiang Xie,et al.  An Improved Iterative Tikhonov Regularization Method for Solving the Dynamic Load Identification Problem , 2015 .

[25]  Thomas G. Brown Analysis of ice event loads derived from structural response , 2007 .

[26]  Ron Ritch,et al.  Local ice pressures measured on a strain gauge panel during the CCGS Terry Fox bergy bit impact study , 2008 .

[27]  Kyungsik Choi,et al.  Estimation of local ice load by analyzing shear strain data from the IBRV ARAON's 2016 Arctic voyage , 2018 .

[28]  Hirotaka Igawa,et al.  Inverse identification of continuously distributed loads using strain data , 2012 .

[29]  Meng Zhang,et al.  Indirect monitoring of distributed ice loads on a steel gate in a cold region , 2018, Cold Regions Science and Technology.

[30]  Ashraf O. Nassef,et al.  Y-stiffened panel multi-objective optimization using genetic algorithm , 2009 .