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Nonlinear Analysis for the Crack Control of SMA Smart Concrete Beam Based on a Bidirectional B-Spline QR Method

机译:基于双向B样条QR法的SMA智能混凝土梁裂缝控制的非线性分析

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摘要

Abidirectional B-splineQR method (BB-sQRM) for the study on the crack control of the reinforced concrete (RC) beam embedded with shape memory alloy (SMA) wires is presented. In the proposed method, the discretization is performed with a set of spline nodes in two directions of the plane model, and structural displacement fields are constructed by the linear combination of the products of cubic B-spline interpolation functions. To derive the elastoplastic stiffness equation of the RC beam, an explicit form is utilized to express the elastoplastic constitutive law of concrete materials. The proposed model is compared with the ANSYS model in several numerical examples. The results not only show that the solutions given by the BB-sQRM are very close to those given by the finite element method (FEM) but also prove the high efficiency and low computational cost of the BB-sQRM. Meanwhile, the five parameters, such as depth-span ratio, thickness of concrete cover, reinforcement ratio, prestrain, and eccentricity of SMA wires, are investigated to learn their effects on the crack control. The results show that depth-span ratio of RC beams and prestrain and eccentricity of SMA wires have a significant influence on the control performance of beam cracks.
机译:提出了一种双向B样条QR方法(BB-sQRM),用于埋入形状记忆合金(SMA)丝的钢筋混凝土(RC)梁的裂缝控制。在提出的方法中,用平面模型两个方向上的一组样条节点进行离散化,并通过三次B样条内插函数乘积的线性组合构造结构位移场。为了导出钢筋混凝土梁的弹塑性刚度方程,采用显式形式表达混凝土材料的弹塑性本构律。在几个数值示例中,将提出的模型与ANSYS模型进行了比较。结果不仅表明BB-sQRM给出的解与有限元方法(FEM)给出的解非常接近,而且证明了BB-sQRM的高效性和低计算量。同时,研究了深宽比,混凝土表皮厚度,增强比,预应变和SMA钢丝的偏心率这五个参数,以了解它们对裂纹控制的影响。结果表明,RC梁的深宽比和SMA钢丝的预应变和偏心距对梁裂缝的控制性能有重要影响。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第1期|6092479.1-6092479.16|共16页
  • 作者单位

    Guangxi Univ Coll Civil Engn & Architecture Nanning 530004 Peoples R China;

    Guangxi Univ Coll Civil Engn & Architecture Nanning 530004 Peoples R China|Guangxi Univ Educ Minist Key Lab Disaster Prevent & Struct Safety Nanning 530004 Peoples R China;

    Guangxi Power Grid Co Ltd Elect Power Res Inst Nanning 530023 Peoples R China;

    Tongji Univ Dept Geotech Engn Shanghai 200092 Peoples R China;

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