Dynamical models of a suspension bridge driven by vibration data

IF 2.1 3区 工程技术 Q2 ENGINEERING, CIVIL
V. Gattulli, Á. Cunha, E. Caetano, F. Potenza, A. Arena, U. D. Sabatino
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引用次数: 6

Abstract

The great availability of measurement systems permits to acquire quite easily data related to structural oscillations in operational conditions. This occurrence may permit to enhance our capability to data-driven computing using directly experimental data and pertinent constraints and conservation laws, such as compatibility and equilibrium, surely certain. In the paper, a methodology will be presented to furnish an analytical mechanical model of a suspension bridge in which the main parameters can be derived from vibration measurements. In this respect, Polymax and Enhanced Frequency Domain Decomposition identification procedures are used to determine a complete modal model which is used to evaluate an error function. Optimization algorithms are used to evaluate the function minima in the fundamental parameter space. The procedure will be validated by results coming from a sophisticated finite element model for which geometric measurements are included through a 3D point cloud geometrical model and a consequent Building Information model (BIM) constructed with images acquired by unmanned aerial vehicle (UAV). The case study of the pedestrian cable suspension Polvorines bridge (100 meters of span) is considered to demonstrate the procedure, due the test campaign conducted on March 2020.
由振动数据驱动的悬索桥动力模型
测量系统的巨大可用性使得在操作条件下很容易获得与结构振荡有关的数据。这种情况可能会增强我们使用直接实验数据和相关约束和守恒定律(如兼容性和平衡)进行数据驱动计算的能力,这是肯定的。本文将提出一种方法来建立悬索桥的解析力学模型,其中主要参数可以从振动测量中得到。在这方面,使用Polymax和增强频域分解识别程序来确定用于评估误差函数的完整模态模型。利用优化算法求解基本参数空间中的函数极小值。该程序将通过来自复杂有限元模型的结果进行验证,该模型的几何测量包括通过3D点云几何模型和随后的建筑信息模型(BIM),该模型由无人机(UAV)获取的图像构建。Polvorines人行索桥(100米跨度)的案例研究被认为可以演示该程序,因为该测试活动于2020年3月进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart Structures and Systems
Smart Structures and Systems 工程技术-工程:机械
CiteScore
6.50
自引率
8.60%
发文量
0
审稿时长
9 months
期刊介绍: An International Journal of Mechatronics, Sensors, Monitoring, Control, Diagnosis, and Management airns at providing a major publication channel for researchers in the general area of smart structures and systems. Typical subjects considered by the journal include: Sensors/Actuators(Materials/devices/ informatics/networking) Structural Health Monitoring and Control Diagnosis/Prognosis Life Cycle Engineering(planning/design/ maintenance/renewal) and related areas.
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