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Response attenuation of cable-stayed bridge subjected to central US earthquakes using neuro-fuzzy and simple adaptive control

机译:基于神经模糊和简单自适应控制的斜拉桥在美国中部地震中的响应衰减

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摘要

Cable-stayed bridges generally present high flexibility, little redundancy, and complex dynamic behavior, which may lead to excessive dynamic responses. Structural control is an option to limit dynamic responses of these structures in order to avoid excessive damage and guarantee an acceptable level of comfort. Most studies in the field of control of cable-stayed bridges are performed considering their nominal parameters. However, bridges are subjected to extreme changes in temperature, cracking, corrosion, snow accumulation, extreme loading and fatigue. Additionally, engineering modeling simplifications, estimates, and assumptions also result in estimation of parameters that are different from the actual ones. Earthquake excitation prediction also involves a great amount of uncertainties. The development of a control scheme that presents satisfactory performance and presents enough robustness is fundamental for its successful operation. The main goal of this study is to fmd control solutions that are able to attenuate seismic induced responses, while providing enough predictability and robustness in face of parametric changes and the variability of earthquake loads. The implementation of a control approach that is cost effective, dependable, predictable and effective may lead to the possibility of accounting for this control solution in design, allowing for more flexible but safe structures. A control approach that is dependable and robust has the potential to guarantee performance limits and impact how structures are designed in the future. Adaptive control is presented in this research as a suitable and robust control alternative to deal with the many uncertainties related to the prediction of bridge structural parameters and earthquake loading. Adaptive control schemes based on the simple adaptive control and the neuro-fuzzy adaptive control theoretical basis are proposed to attenuate the seismic responses of the benchmark for cable-stayed bridges, considering different parametric scenarios, as well as site conditions and seismic characteristics of the central US region. The performances of the adaptive schemes are compared to non-adaptive control before and after two parametric variations are introduced to the bridge, considering earthquakes matched to the American Association of State Highways and Transportation Officials' most recent design spectra. Probability density functions are developed in order to capture the controlled performance representative of the earthquake suite. The adaptive methods performances are compared to uncontrolled and passive schemes before and after two parametric variations are considered. The bridge controlled by the passive-on case presents a satisfactory performance for the nominal structure. However, once the parameters are changed, the performance of the control scheme deteriorates. The passive-off scheme sustains performance well; however, the control scheme does not reduce overall responses significantly. The neuro-fuzzy control displays improved performance in comparison to the passive cases. The simple adaptive control scheme gives an overall successful reduction in both peak and normed responses, sustaining performance for most criteria and shows improved performance and robustness compared to the other schemes.
机译:斜拉桥通常具有较高的灵活性,很少的冗余性和复杂的动态行为,这可能导致过多的动态响应。结构控制是限制这些结构的动态响应的一种选择,以避免过度损坏并保证可接受的舒适度。斜拉桥控制领域中的大多数研究都是在考虑其标称参数的情况下进行的。但是,桥梁的温度,开裂,腐蚀,积雪,极端载荷和疲劳都会发生极端变化。此外,工程建模的简化,估计和假设也会导致与实际参数不同的参数估计。地震激发预测还涉及大量不确定性。具有令人满意的性能并具有足够的鲁棒性的控制方案的开发是其成功运行的基础。这项研究的主要目标是找到能够衰减地震感应响应的FMD控制解决方案,同时在面对参数变化和地震荷载变化时提供足够的可预测性和鲁棒性。实施具有成本效益,可靠,可预测和有效的控制方法可能会导致在设计中考虑该控制解决方案的可能性,从而实现更灵活但更安全的结构。可靠而强大的控制方法有可能保证性能极限并影响未来结构的设计。在这项研究中,自适应控制被认为是解决桥梁结构参数和地震荷载预测中许多不确定性的合适且鲁棒的控制选择。提出了一种基于简单自适应控制和神经模糊自适应控制理论基础的自适应控制方案,以考虑斜拉桥的基准参数的地震响应,并考虑到不同的参数场景以及中心位置的条件和地震特性美国地区。考虑到地震符合美国国家公路和运输官员协会的最新设计频谱,在桥梁上引入两个参数变化之前和之后,将自适应方案的性能与非自适应控制进行了比较。开发概率密度函数以捕获代表地震套件的受控性能。在考虑两个参数变化之前和之后,将自适应方法的性能与非受控方案和被动方案进行比较。由无源外壳控制的电桥为标称结构提供了令人满意的性能。但是,一旦更改了参数,控制方案的性能就会下降。被动关闭方案可以很好地维持性能;但是,该控制方案不会显着降低总体响应。与被动情况相比,神经模糊控制显示出更高的性能。与其他方案相比,简单的自适应控制方案可以总体上成功地降低峰值响应和标准响应,维持大多数标准的性能,并显示出更高的性能和鲁棒性。

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