| 失效测点影响下极地船舶结构冰载荷的有效识别方法 |
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| 引用本文： | 王键伟,陈晓东,何帅康,段庆林,季顺迎.失效测点影响下极地船舶结构冰载荷的有效识别方法[J].工程力学,2021,38(7):226-238. |
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| 作者姓名： | 王键伟 陈晓东 何帅康 段庆林 季顺迎 |
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| 作者单位： | 大连理工大学工业装备结构分析国家重点实验室，辽宁，大连 116023 |
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| 基金项目： | 国家重点研发计划重点专项项目(2016YFC1402706，2017YFE0111400，2016YFC1401505)；国家自然科学基金项目(51639004，41576179) |
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| 摘 要： | 冰载荷是极地船舶在冰区航行时受到的一种极端环境载荷，而对船体结构的现场监测是研究冰载荷的重要途径。一般通过在船体结构上安装应变传感器直接测量冰载荷引起的应变响应；采用影响系数矩阵法根据应变响应反演识别冰载荷。然而当应变传感器无法正常工作时，识别结果的准确性将难以得到保障。通过对典型极地船舶舷侧板架结构的有限元分析，研究了测点失效对识别结果的影响。基于对“天恩号”多用途冰级船实测应变数据以及典型极地船舶舷侧板架结构有限元应变数据的深入分析，确定了测点应变的空间分布规律，并进一步提出了失效测点影响下基于最小二乘拟合的冰载荷识别方法。在此基础上，较为准确地识别出7种典型工况下的冰载荷，大幅降低了识别误差，最终验证了该方法的有效性。
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| 关 键 词： | 极地船舶结构 冰载荷识别 应变测点失效 最小二乘拟合 影响系数矩阵法 |
| 收稿时间： | 2020-07-27 |
AN EFFECTIVE METHOD FOR IDENTIFYING ICE LOADS ON POLAR SHIP STRUCTURES UNDER THE INFLUENCE OF FAILURE MEASURING POINTS |
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| Affiliation: | State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian, Liaoning 116023, China |
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| Abstract: | The ice load is an extreme environmental load received by the polar ship during its ice navigation. The field monitoring of hull structures is an important approach to study ice loads. Generally, the strain responses caused by ice loads are directly measured by installing strain sensors on hull structures, then ice loads are reversely identified according to those responses by Influence Coefficient Matrix Method. However, when strain sensors cannot work normally, the accuracy of identification results will be difficult to be guaranteed. Firstly, the influence of measuring point failure on identification results is studied by the finite element analysis of a typical polar ship's side grillage structure. Then, according to the in-depth analysis on measured strain data of multi-purpose ice-class ship Tian'en and the finite element strain data of a typical polar ship's side grillage structure, the spatial distribution of measuring point strains is determined. Furthermore, a method for identifying ice loads based on least square fitting under the influence of failure points is proposed. Finally, the ice loads under seven typical cases are identified accurately, which greatly reduces the identification error. As a result, the effectiveness of this method is verified. |
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