遗传算法在滞回模型最优标定中的应用

S. Di Benedetto, M. Latour, G. Rizzano
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引用次数: 0

摘要

最近计算的改进已经允许大量使用数值模型来预测涉及各种主题的现象。特别是,考虑到土木工程领域,拥有更大的计算能力的可能性保证了以更大的关注和精度探索建筑物的整体和局部行为,因此目前,许多软件程序允许以高精度建模不同的结构部件。感兴趣的一个方面是校准现象学定律,以模拟特定结构构件,装置或连接的机械行为。考虑到这一点,最近有许多努力致力于通过实现称为“遗传算法”的计算代码来解决这个问题,该代码按照模仿达尔文进化论的程序提供参数的最佳配置。但是,这些算法通常采用c++格式编码,难以根据用户的需要进行修改。考虑到这一点,目前工作的新颖性包括实现一种遗传算法,该算法从指定的滞后曲线的知识开始,允许通过适当校准OpenSees软件的“滞后”单轴材料元素的参数来建模。特别值得一提的是,本文提出的代码的独创性在于它是在Matlab环境下开发的,与传统的c++编译器相比,它更容易编辑,更灵活地满足客户的特定需求,例如MultiCal,这是一款已经在研究中的校准软件。遗传算法是一种指令,通过它可以根据一个程序达到数学模型的最佳校准,这个程序在概念上指的是生物物种的进化过程。通过校准44条力-位移迟滞曲线,利用MultiCal工具对所提出的遗传算法进行了验证,这些曲线是由有限元模拟得到的,涉及圆形空心截面轮廓和穿过板之间的连接在轴向位移历史下的循环行为。结果表明,所提出的算法以可接受的精度校准已知响应,与MultiCal提供的结果一致甚至更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of A Genetic Algorithm For The Optimal Calibration Of Hysteretic Models
Recent computing improvements have allowed a considerable use of numerical models to predict phenomena concerning various topics. In particular, considering the field of civil engineering, the possibility of having greater computational capabilities has guaranteed to explore both the global and local behaviour of buildings with greater attention and precision so that currently, many software programs allow modelling different structural components with high accuracy. One of the aspects of interest concerns the calibration of phenomenological laws to model the mechanical behaviour of specific structural members, devices or connections. With this in mind, many efforts have recently been dedicated to solving this problem by implementing computational codes called “Genetic Algorithms”, which provide optimal configurations of parameters following procedures that emulate Darwin’s theory of evolution. However, generally, these algorithms are encoded in C++ formats, which result difficult to be modified basing on the needs of the users. With this in mind, the present work's novelty consists of implementing a Genetic Algorithm that, starting from the knowledge of assigned hysteretic curves, allows their modelling through an appropriate calibration of the parameters of the “hysteretic” uniaxialmaterial element of the OpenSees software. In particular, the originality of the code proposed in this paper is its development in the Matlab environment, which is more easily editable and more flexible to customers' specific needs than traditional C++ compilers, such as MultiCal, a calibration software already available in research. Genetic Algorithms are instructions through which it is possible to reach the optimal calibration of mathematical models according to a procedure that conceptually refers to the evolutionary process of living species. The proposed GA has been validated against MultiCal tool by calibrating 44 force-displacement hysteretic curves obtained from finite element simulations relating to the cyclic behaviour of connections between circular hollow section profiles and passing-through plates subjected to displacement histories in the axial direction. The results have shown that the proposed algorithm calibrates the known responses with acceptable accuracy, in line with or even better than the outcomes provided by MultiCal.
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