一种基于Newmark显式法和模态振型比较法的动载荷定位新方法

IF 1.9 3区 工程技术 Q3 MECHANICS
Zhengshu Wang, Jinhui Jiang
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引用次数: 0

摘要

准确确定作用在结构上的载荷的位置和大小对于结构设计、优化和健康监测至关重要。然而,通过直接测量来确定振动源是极具挑战性的。因此,开发一种快速准确的动态载荷位置识别方法至关重要。本文以比例阻尼连续系统为研究对象,提出了一种新的、有效的动态载荷位置识别方法。基于Newmark显式方法,将传统的“响应-系统-荷载”框架转化为“响应-模态响应-系统-模态荷载”框架,确定了振动系统中各阶模态荷载。然后利用最小二乘反求法确定荷载位置对应的模态振型,通过计算模态振型偏差函数确定荷载位置。随后,提出了一种动态荷载位置识别的迭代策略,进一步提高了该方法在复杂结构下的计算效率。仿真结果表明,与虚拟荷载方法相比,该方法不需要对每个可能的点进行荷载识别,只需识别一次模态荷载,显著提高了动态荷载位置识别的速度。此外,该算法在正弦载荷、宽带随机载荷和冲击载荷的识别中具有较高的精度和良好的抗噪声性能。该方法在模型不确定条件下具有较强的适应性。为了进一步验证该算法在实际应用中的性能,对简支梁系统进行了动载荷识别实验研究,结果表明该算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel rapid positioning method for dynamic load location based on Newmark explicit method and modal shape comparison method

Accurately determining the location and magnitude of loads acting on a structure is crucial for structural design, optimization, and health monitoring. However, identifying the source of vibration through direct measurement is extremely challenging. Therefore, developing a rapid and accurate method for dynamic load location identification is essential. This paper focuses on proportionally damped continuous systems and proposes a novel and efficient method for dynamic load location identification. The traditional "response-system-load" framework for dynamic load identification is transformed into a "response-modal response-system-modal load" framework based on the Newmark explicit method, determining the modal loads of various orders in the vibration system. The modal shapes corresponding to the load location are then determined using the least squares inverse method, and the load location is identified by calculating the mode shape deviation function. Subsequently, an iterative strategy for dynamic load location identification is proposed to further enhance the computational efficiency of the method on complex structures. Simulated results demonstrate that, compared to the virtual load method, this method does not require load identification for every possible point, but only needs to identify modal loads once, significantly improving the speed of dynamic load location identification. Furthermore, the algorithm demonstrates high precision and excellent noise resistance in the identification of sinusoidal loads, broadband random loads, and impact loads. It also demonstrates robust adaptability under conditions of model uncertainties. To further verify the performance of the algorithm in practical applications, experimental studies on dynamic load identification were conducted on a simply supported beam system, and the results show that the algorithm is effective.

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来源期刊
Meccanica
Meccanica 物理-力学
CiteScore
4.70
自引率
3.70%
发文量
151
审稿时长
7 months
期刊介绍: Meccanica focuses on the methodological framework shared by mechanical scientists when addressing theoretical or applied problems. Original papers address various aspects of mechanical and mathematical modeling, of solution, as well as of analysis of system behavior. The journal explores fundamental and applications issues in established areas of mechanics research as well as in emerging fields; contemporary research on general mechanics, solid and structural mechanics, fluid mechanics, and mechanics of machines; interdisciplinary fields between mechanics and other mathematical and engineering sciences; interaction of mechanics with dynamical systems, advanced materials, control and computation; electromechanics; biomechanics. Articles include full length papers; topical overviews; brief notes; discussions and comments on published papers; book reviews; and an international calendar of conferences. Meccanica, the official journal of the Italian Association of Theoretical and Applied Mechanics, was established in 1966.
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