利用模态克雷格-班普顿框架计算有效质量

IF 1.5 4区 工程技术 Q3 ENGINEERING, MECHANICAL
B. R. Pacini, R. L. Mayes
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引用次数: 0

摘要

有效质量模型是机械设计和鉴定中的一个强大框架。它们是一种专门的模态模型,使用基座加速度输入来产生单轴动态环境中基座安装结构的响应。其应用包括计算底座安装有效载荷的每个模态的反作用力、确定负载分析中最 "重要 "的模态等。计算有效质量模型的实验技术最初源自结构的有限元模型。这项工作描述了一种新技术的推导过程,该技术利用克雷格-巴姆顿模态框架从模态测试中提取有效质量模型,提供了比以往方法更简单的表述,同时保持了计算有效质量模型的准确性。本文提供了分析和实验演示,以及成功实施的实用建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Computing Effective Mass Using the Modal Craig Bampton Framework

Computing Effective Mass Using the Modal Craig Bampton Framework

Effective mass models are a powerful framework in mechanical design and qualification. They are a specialized modal model that use a base-acceleration input to yield the response of a base-mounted structure in single-axis dynamic environments. Applications include the computation of reaction forces of each mode of the base-mounted payload, the identification of the most “important” modes for loads analysis, and many others. Originally derived from a finite element model of the structure, many experimental techniques for computing effective mass models have also been developed. This work describes the derivation of a novel technique which utilizes the Craig-Bampton Modal framework to extract an effective mass model from a modal test and provides a much simpler formulation than previous methods while maintaining the accuracy of the computed effective mass model. Analytical and experimental demonstrations are provided along with practical recommendations for successful implementation.

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来源期刊
Experimental Techniques
Experimental Techniques 工程技术-材料科学:表征与测试
CiteScore
3.50
自引率
6.20%
发文量
88
审稿时长
5.2 months
期刊介绍: Experimental Techniques is a bimonthly interdisciplinary publication of the Society for Experimental Mechanics focusing on the development, application and tutorial of experimental mechanics techniques. The purpose for Experimental Techniques is to promote pedagogical, technical and practical advancements in experimental mechanics while supporting the Society''s mission and commitment to interdisciplinary application, research and development, education, and active promotion of experimental methods to: - Increase the knowledge of physical phenomena - Further the understanding of the behavior of materials, structures, and systems - Provide the necessary physical observations necessary to improve and assess new analytical and computational approaches.
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