基于力学性能的 GFRP 涵洞可靠性优化设计

IF 1.5 4区 材料科学 Q4 MATERIALS SCIENCE, COMPOSITES
Huawang Shi, Jianbin Zhao, Jichao Wang, Jiawei Wang
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引用次数: 0

摘要

为了更有效地提高玻璃纤维增强塑料(GFRP)砂浆涵洞结构的可靠性,结合蔡武失效准则和唐氏失效准则对其失效模式进行了估算。采用 Monte Carlo 方法分析了玻璃纤维增强塑料砂浆涵洞的可靠性。根据 GFRP 砂浆管涵的结构特点,引入了自适应调整权重来改进鲸鱼优化(WOA)算法。在一定权重下,以可靠性为目标函数,利用改进后的 WOA 算法优化 GFRP 砂浆管涵的结构设计。结果表明,层压结构在单层相对厚度不同的情况下会产生不同的最佳层压角。随着层数的增加,最佳纤维角度也显著增加。基于三个设计变量的优化结果优于基于两个设计变量的优化结果。确定了最佳特性,使 GFRP 砂浆管涵的结构达到最大可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mechanical Properties-Based Reliability Optimization Design of GFRP Culvert

Mechanical Properties-Based Reliability Optimization Design of GFRP Culvert

To improve the reliability of the glass fiber-reinforced plastic (GFRP) mortar culvert structure more effectively, their failure modes were estimated by combining the Tsai–Wu and Tang failure criteria. The reliability of GFRP mortar culverts was analyzed using the Monte Carlo method. According to the characteristics of structure of GFRP mortar pipe culvert, the adaptive adjustment weights were introduced to improve the whale optimization (WOA) algorithm. The improved WOA algorithm was used to optimize the structure design of the GFRP mortar pipe culvert with its reliability as the objective function under a certain weight. It was determined that the laminated structure produces different optimal lamination angles with different relative thicknesses of single layers. As the number of layers increases, the optimal angle of fibers increases significantly. The optimization based on three design variables gave better results than based on two design variables. It was determined the optimal characteristics to reach maximum reliability of structure of GFRP mortar pipe culvert.

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来源期刊
Mechanics of Composite Materials
Mechanics of Composite Materials 工程技术-材料科学:复合
CiteScore
2.90
自引率
17.60%
发文量
73
审稿时长
12 months
期刊介绍: Mechanics of Composite Materials is a peer-reviewed international journal that encourages publication of original experimental and theoretical research on the mechanical properties of composite materials and their constituents including, but not limited to: damage, failure, fatigue, and long-term strength; methods of optimum design of materials and structures; prediction of long-term properties and aging problems; nondestructive testing; mechanical aspects of technology; mechanics of nanocomposites; mechanics of biocomposites; composites in aerospace and wind-power engineering; composites in civil engineering and infrastructure and other composites applications.
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