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基于高温DIC全场位移与膜内弱形式平衡约束的薄板热弹性参数反演方法

THERMOELASTIC-PARAMETER INVERSION METHOD FOR THIN PLATES BASED ON HIGH-TEMPERATURE DIC FULL-FIELD DISPLACEMENT AND MEMBRANE WEAK-FORM EQUILIBRIUM CONSTRAINTS

  • 摘要: 针对非均匀温升和边界约束共同作用下薄板热屈曲实验中应力场难以直接测量、热弹性参数难以由全场位移直接确定的难题, 提出一种基于高温数字图像相关(digital image correlation, DIC)全场位移和膜内弱形式平衡约束的结构级等效热弹性参数反演方法. 首先, 利用DIC三维位移场计算中面膜应变, 并结合热电偶测量结果重构非均匀温度场; 随后, 将弹性模量和热膨胀系数表示为归一化热加载状态变量的连续函数, 并通过两级前馈神经网络进行可微表示; 在此基础上, 由观测膜应变场和温度场构造平面应力条件下的膜内热弹性应力试探场, 并以有效内部节点的弱形式平衡残差最小为目标, 完成随热加载状态变化的热弹性参数反演, 同时引入趋势一致性项, 并利用两级前馈神经网络对参数函数进行连续可微参数化, 以提高优化稳定性. 开展四边固支薄板非均匀升温热屈曲实验用于方法验证, 其中第1-24加载步用于参数反演, 第25-30加载步用于同一升温路径下的后续加载步评估. 单一参数固定消融与局部灵敏度分析表明, 弹性模量与热膨胀系数对膜内弱形式平衡残差的影响存在明显但非完全重合的耦合; 10次独立反演结果表明当前数值优化过程具有较好的重复稳定性. 结果表明, 与常参数模型相比, 所识别参数函数在反演区间和后续加载区间内分别使膜内弱形式平衡残差平均降低20.95%和35.53%; 基于反演参数得到的中心点挠度和全场面外位移形态能够再现实验热屈曲过程的主要演化特征. 该方法为无应力标签和无边界反力条件下的结构级热弹性参数反演提供了一种基于全场观测和平衡约束的途径.

     

    Abstract: In thermal buckling experiments of thin plates under nonuniform temperature rise and complex boundary constraints, stress fields cannot be measured directly, and the thermoelastic parameters cannot be inferred from full-field digital image correlation (DIC) displacements alone. This study proposes a structural-level equivalent thermoelastic-parameter inversion method that combines high-temperature DIC full-field displacements with membrane weak-form equilibrium constraints. First, the mid-plane membrane strain is calculated from the three-dimensional DIC displacement field, and the nonuniform temperature field is reconstructed by combining thermocouple measurements. Then, the elastic modulus and thermal expansion coefficient are expressed as continuous functions of a normalized thermal-loading state variable and are differentiably represented by a two-stage feedforward neural network. On this basis, a membrane thermoelastic trial stress field under the plane-stress condition is constructed from the observed membrane strain field and temperature field, and the weak-form equilibrium residual of effective internal nodes is taken as the minimization objective to invert the thermoelastic parameters varying with the thermal-loading state. A trend-consistency term is included, while the parameter functions are represented in a continuously differentiable form by tanh feedforward neural networks; no separate smoothness penalty is imposed. A nonuniform-heating thermal buckling experiment of a four-edge-clamped thin plate is conducted for method assessment. Loading steps 1-24 are used for parameter inversion, whereas loading steps 25-30 are reserved for assessment at subsequent loading states along the same monotonic heating path. Single-parameter-fixed ablation and local sensitivity analyses further show that the two parameters have clearly coupled but non-collinear effects on the equilibrium residual, while ten independent inversions demonstrate good numerical repeatability. The results show that, compared with the constant-parameter model, the identified parameter functions reduce the average membrane weak-form equilibrium residual over the considered loading process by 20.95% and 35.53% in the inversion interval and the subsequent-loading interval, respectively. The center-point deflection and full-field out-of-plane displacement morphology obtained based on the inverted parameters can reproduce the main evolutionary characteristics of the experimental thermal buckling process. The proposed method therefore provides a full-field-observation-based route for structural-level equivalent thermoelastic-parameter inversion without stress labels or boundary-reaction data.

     

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