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Multi-criteria decision support framework for optimal multi-hazard design of passively damped structures.

机译：多准则决策支持框架，用于被动阻尼结构的最佳多灾种设计。

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摘要

This dissertation develops a new multi-criteria decision support framework for conducting multi-hazard design and retrofit of seismic- and wind-excited structures with passive energy dissipation (PED) devices. In addition to designing in compliance with the relevant codes of practice, it is important to note that the performance of PED devices for reducing the structural responses depends on the type, size, and distribution of dampers. The proposed framework provides a genetic algorithm (GA) based methodology to address these optimization issues of structural control systems within the context of nonlinear structures. Steel buckling restrained braces, viscous fluid dampers and solid viscoelastic dampers are all considered as possible design alternatives within this framework. In the proposed algorithm, passively damped structural designs evolve toward configurations that limit damage associated with inter-story drift and absolute peak floor acceleration, while considering essential conflicts in dynamic response demands of the structures under different hazard environments, involving earthquakes and strong windstorms. Optimal design of passively damped structures in such uncertain hazardous environments requires not only choosing the most cost-effective approach from a series of alternatives but also defining project-specific constraints and the risk associated with each decision alternative. Thus, unlike previous work in PED optimization, the proposed framework introduces a newly developed multi-objective genetic algorithm to accelerate the convergence to the robust design solutions and to maximize the overall benefit of the structural control system. Additionally, a probability-based optimization approach is introduced to allow decision makers to achieve a specific performance objective, such as identifying the retrofitting investments that will result in minimum life-cycle cost impact on a building. This new approach uses weighted life-cycle cost as an objective function to permit consideration of risk aversion by accounting for uncertainty related to earthquake frequency, structural vulnerability, cost of structural damage and retrofitting, and mitigation benefits.;The proposed optimization framework is applied to several example buildings designed or retrofitted with passive control devices to demonstrate the effectiveness of the optimization approaches. From the illustrative examples, it is positively concluded that the modular framework can be successfully used as a practical decision-making tool for cost-effective optimal multiple hazard design of passively damped structures. Also, it is shown that the probability-based optimization approach results in design or retrofit alternatives that combine well with the performance-based design concept, with usage of more realistic design criteria, such as expected life-cycle cost of meeting prescribed performance level.
机译：本论文开发了一种新的多准则决策支持框架，该框架可以通过无源消能（PED）装置进行地震和风激励结构的多危害设计和改造。除了按照相关的实践准则进行设计外，还必须注意，PED设备降低结构响应的性能取决于阻尼器的类型，尺寸和分布。提出的框架提供了一种基于遗传算法（GA）的方法，以解决非线性结构环境下结构控制系统的这些优化问题。在该框架内，钢制屈曲约束支撑，粘性流体阻尼器和固体粘弹性阻尼器均被视为可能的设计替代方案。在所提出的算法中，被动阻尼结构设计趋向于限制与层间漂移和绝对峰值楼层加速度相关的破坏的配置，同时考虑结构在不同危险环境下的动态响应需求中的本质冲突，包括地震和强风暴。在这种不确定的危险环境中，被动阻尼结构的最佳设计不仅需要从一系列替代方案中选择最具成本效益的方法，还需要定义特定于项目的约束以及与每个决策替代方案相关的风险。因此，与以前的PED优化工作不同，该框架引入了新开发的多目标遗传算法，以加速收敛到健壮的设计解决方案并最大程度地提高结构控制系统的整体效益。此外，引入了基于概率的优化方法，以使决策者能够实现特定的性能目标，例如确定将对建筑物产生最小生命周期成本影响的改造投资。这种新方法将加权生命周期成本作为目标函数，通过考虑与地震频率，结构脆弱性，结构破坏和改造成本以及缓解收益相关的不确定性来考虑风险规避。设计或改装了无源控制设备的几座示例建筑物，以证明优化方法的有效性。从说明性示例中可以肯定地得出结论，模块化框架可以成功地用作实用的决策工具，用于被动阻尼结构的经济高效的最佳多灾种设计。此外，还表明，基于概率的优化方法会导致设计或翻新方案与基于性能的设计概念很好地结合在一起，并使用更现实的设计标准，例如达到规定性能水平的预期生命周期成本。

著录项

  • 作者

    Dogruel, Seda.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Engineering Civil.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 290 p.
  • 总页数 290
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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