Investigation of uncertainties associated with actuation modeling error and sensor noise on real time hybrid simulation performance

A. Maghareh, S. Dyke, G. Ou, Yili Qian
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引用次数: 3

Abstract

Real time hybrid simulation (RTHS) is a promising cyber-physical method for the experimental evaluation of civil engineering structures. RTHS allows for simulation of highly complicated civil engineering structures by partitioning them into numerical and physical (experimental) substructures, reducing the costs and time associated with a single test. Numerical and experimental RTHS substructures must be integrated with high fidelity at run-time. In recent years, a great deal of progress has been made to address the many challenges in conducting the physical portion of these simulations, such as hydraulic actuation and control, magneto-rheological (MR) dampers, and sensors, making RTHS a reality. However, systematic and random uncertainties developed in the physical/experimental substructure are inevitable and can have substantial impacts on the quality of the simulation results. Due to the interaction of the numerical and physical substructures in RTHS, uncertainties associated with the physical portion are amplified and degrade the quality of RTHS results. Compared to shake table testing, it has been shown that the reliability of hybrid simulation results is highly dependent upon how successfully experimental uncertainties are mitigated. Further studies are required to understand and quantify the impacts of various sources of physical uncertainties on the quality of the simulation results. In this paper, the impact of two inevitable uncertainties on the quality of the RTHS results is studied.
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驱动建模误差和传感器噪声对实时混合仿真性能的不确定性研究
实时混合仿真(RTHS)是一种很有前途的土木工程结构试验评估的信息物理方法。RTHS允许通过将高度复杂的土木工程结构划分为数值和物理(实验)子结构来模拟它们,从而减少与单个测试相关的成本和时间。数值和实验RTHS子结构必须在运行时具有高保真度。近年来,在解决这些模拟的物理部分的许多挑战方面取得了很大进展,例如液压驱动和控制、磁流变(MR)阻尼器和传感器,使RTHS成为现实。然而,在物理/实验子结构中产生的系统和随机不确定性是不可避免的,并且会对模拟结果的质量产生重大影响。由于RTHS中数值子结构和物理子结构的相互作用,与物理部分相关的不确定性被放大并降低了RTHS结果的质量。与振动台试验相比,混合模拟结果的可靠性在很大程度上取决于如何成功地减轻实验不确定性。需要进一步的研究来了解和量化各种物理不确定性来源对模拟结果质量的影响。本文研究了两个不可避免的不确定因素对RTHS结果质量的影响。
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