A Novel Self‐Centering Mechanical Model for Shape Memory Alloys Incorporating Cyclic Degradation

降级(电信) 形状记忆合金 结构工程 材料科学 计算机科学 岩土工程 地质学 工程类 复合材料 电信
作者
Wenlang Yuan,Fei Shi,Chao Zhang,Yun Zhou
出处
期刊:Earthquake Engineering & Structural Dynamics [Wiley]
被引量:1
标识
DOI:10.1002/eqe.4379
摘要

ABSTRACT Shape memory alloys (SMAs) have gained increased attention in earthquake engineering due to their exceptional self‐centering and energy dissipation capabilities. However, the cyclic degradation behavior of SMA has a significant impact on their mechanical properties, which is often inadequately addressed in existing mechanical models. This paper proposes a phenomenological mechanical model that comprehensively considers the cyclic degradation effects of SMA. The proposed model accounts for key aspects including stiffness degradation, strength degradation, residual strain accumulation, as well as energy dissipation during the hardening stage. The theoretical framework and hysteresis rules governing the mechanical model are first presented, followed by its implementation in OpenSees software as a new material model. Subsequently, experimental data from four different loading protocols are used to validate the feasibility and accuracy of the proposed mechanical model. The comparative analysis demonstrates that the mechanical model proposed and implemented in OpenSees can effectively simulate the hysteretic behavior and various degradation responses of SMA materials under different loading protocols. Furthermore, two different SMA‐braced steel frame structures, one considering cyclic degradation and the other neglecting it, are analyzed and compared to assess the impact of SMA cyclic degradation on the seismic performance of the structures. The results show that SMA cyclic degradation significantly impacts both the maximum transient and residual inter‐story drift ratios (RIDRs) of the structure. Notably, structures that properly account for SMA cyclic degradation exhibit a remarkably higher median RIDR, along with greater variability. This also confirms that the proposed mechanical model can be effectively implemented in OpenSees for practical applications, enabling a more accurate and reasonable assessment of structural responses during seismic events.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
高铭政发布了新的文献求助10
1秒前
无糖零脂完成签到,获得积分10
2秒前
passby发布了新的文献求助10
2秒前
2秒前
sun发布了新的文献求助10
2秒前
Adalwolf发布了新的文献求助10
2秒前
研友_ZGXj48发布了新的文献求助10
3秒前
跳跃惜筠发布了新的文献求助10
3秒前
molihuakai应助翠花采纳,获得10
3秒前
常富育发布了新的文献求助10
3秒前
4秒前
上官若男应助直率媚颜采纳,获得10
6秒前
精明凌旋发布了新的文献求助10
6秒前
CPU完成签到 ,获得积分10
7秒前
田様应助ren采纳,获得10
7秒前
YY发布了新的文献求助10
8秒前
假面绅士完成签到,获得积分10
8秒前
pnn_1214发布了新的文献求助10
9秒前
9秒前
自由山槐完成签到,获得积分10
12秒前
眯眯眼的岂愈完成签到,获得积分10
14秒前
三四月完成签到 ,获得积分10
14秒前
14秒前
XiaonanTang完成签到 ,获得积分10
15秒前
15秒前
研友_ZGXj48完成签到,获得积分10
16秒前
pnn_1214完成签到,获得积分10
17秒前
18秒前
19秒前
alara发布了新的文献求助10
19秒前
20秒前
XC发布了新的文献求助30
20秒前
doudou完成签到 ,获得积分10
22秒前
星辰大海应助跳跃惜筠采纳,获得10
22秒前
23秒前
左友铭发布了新的文献求助10
23秒前
乐正元正完成签到,获得积分10
23秒前
高铭政完成签到,获得积分20
24秒前
大嘻完成签到,获得积分10
25秒前
Hhj发布了新的文献求助10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development Across Adulthood 1000
Chemistry and Physics of Carbon Volume 18 800
The formation of Australian attitudes towards China, 1918-1941 660
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6449027
求助须知:如何正确求助?哪些是违规求助? 8261947
关于积分的说明 17601540
捐赠科研通 5512058
什么是DOI,文献DOI怎么找? 2902798
邀请新用户注册赠送积分活动 1879913
关于科研通互助平台的介绍 1721134