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Nonlinear Assessment and Optimization Methods for Concrete Structures

Nonlinear Assessment and Optimization Methods for Concrete Structures
混凝土结构的非线性评估与优化方法
批准号:
RGPIN-2018-05643
负责人:
Bentz, Evan
金额:
$2.26万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

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中文摘要
翻译
目前加拿大结构工程的实践是基于传统的分析方法,这些方法可以追溯到许多年前,并且已经证明了它们是安全、经济和高效的。与此同时,加拿大和国际大学的分析和设计方法远远超出了这一理解水平,并允许结构的设计和建造具有一系列优势:a)提高对地震等意外事件的安全性,b)相同或更高安全水平的总成本更低,c)在降低能源密集型建筑材料消耗方面的效率更高。这些先进方法的问题是,它们往往操作缓慢,使用复杂。******在过去的几十年里,计算机的能力也有了戏剧性的提高,但结构工程师还没有以最有效的方式使用它。事实上,我们现在所处的状态是,计算机“自己”进行优化过程,而工程师仅仅观察计算机的行为,就有可能实现第一段中的一些目标。从生成理解的角度来看,这种形式的非引导优化是一个值得关注的问题,但它通常还不是一个问题,因为分析工具通常太复杂,无法与优化方法一起使用。然而,考虑到这些工具现在是可能的,有必要研究开发优化方法,其中包括工程师作为过程的基本部分。******为了实现这种类型的设计优化,有必要将更快的分析方法扩展到3D。在我之前的NSERC发现资助中,我计划生成有效的二维分析方法,更准确地预测建筑行为,考虑到混凝土开裂、屈服和破碎的非线性方面。现在已经实现了这一点,现在可以将其扩展到带有板和墙的建筑物的3D模型中。这种类型的建模将允许优化3D建筑进行合理有效******虽然使用计算机优化设计将允许设计更有效的结构,但也有必要开发优化过程,以增加工程师对问题的理解,而不是像“盲目”优化那样减少它。因此,人类仍然是设计过程的一部分,这将是提出的指导性优化的关键组成部分,因为从中产生的技能是诊断建筑物问题并为未来提出真正新的设计方案所需要的。也就是说:设计过程本身必须确保加拿大工程师保持在世界各地使用的方法和技术的最前沿
英文摘要
The current practice of Canadian structural engineering is based on traditional analysis methods that go back many years and have shown themselves to be safe, economical and efficient. At the same time there are analysis and design methods in Canadian and International Universities that go well beyond this level of understanding and allow structures to be designed and built which have a series of advantages: a) improved safety against unexpected events such as earthquakes, b) lower overall cost for the same, or higher, level of safety, and c) higher efficiency in terms of lower consumption of energy-intensive construction materials. The problem with these advanced methods is that they tend to be slow to operate and complex to use.******Over the past decades, there has also been a dramatic increase in computer power and structural engineers are not yet using that in the most efficient way possible. Indeed we are now at the state where it is possible to achieve some of the goals in the first paragraph with computers doing the optimization process "by themselves" with the engineer merely watching the computer act. This form of unguided optimization is of a concern from the perspective of generation of understanding for engineers but it hasn't generally been a problem yet as the analysis tools are often too complex to be used with optimization methods anyway. Given that such tools are now possible, however, there is a research need to develop optimization methods which include the engineer as a fundamental part of the process.******To achieve design optimization of this type, it is necessary that the faster methods of analysis be extended to 3D. In my previous NSERC Discovery grant I planned to generate efficient 2D methods of analysis that more accurately can predict building behaviour accounting for the nonlinear aspects of cracking, yielding and crushing of the concrete. This has now been achieved and it is now possible to extend this to 3D models of buildings with slabs and walls. This type of modelling will allow optimization of 3D buildings to go ahead reasonably efficiently ******While using computers to optimize designs will allow more efficient structures to be designed, it will also be necessary to develop the optimization process in a way that increases the engineer's understanding of the problems rather than decreasing it as "blind" optimization could do. Thus it will be a key component of the proposed guided optimization that human beings remain part of the design process as the skills generated from that are what are needed to diagnose problems in buildings and come up with truly new design options for the future. That is: the design process must itself be designed to ensure that Canadian engineers remain at the forefront of methods and technologies used around the world.**
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Nonlinear Assessment and Optimization Methods for Concrete Structures
  • 批准号:
    RGPIN-2018-05643
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.52万
  • 财政年份:
    2022
  • 负责人:
    Bentz, Evan
  • 依托单位:
Nonlinear Assessment and Optimization Methods for Concrete Structures
  • 批准号:
    RGPIN-2018-05643
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2021
  • 负责人:
    Bentz, Evan
  • 依托单位:
Nonlinear Assessment and Optimization Methods for Concrete Structures
  • 批准号:
    RGPIN-2018-05643
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2020
  • 负责人:
    Bentz, Evan
  • 依托单位:
Nonlinear Assessment and Optimization Methods for Concrete Structures
  • 批准号:
    RGPIN-2018-05643
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2019
  • 负责人:
    Bentz, Evan
  • 依托单位:
国内基金
海外基金
基于重要农地保护LESA(Land Evaluation and Site Assessment)体系思想的高标准基本农田建设研究
  • 批准号:
    41340011
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2013
  • 负责人:
    钱凤魁
  • 依托单位: