.png){kind=icon}
返回
Accurate force evaluation in prestressed cable-strut structures: A robust sparse Bayesian learning method with feedback-driven error optimization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.engstruct.2025.119878.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Force evaluation is critical to ensuring the safety of cable-strut structures during service. This study employs dynamic testing to assess the internal forces resulting from cable relaxation in prestressed cable-strut structures. A cross-model cross-mode algorithm is utilized to establish a cable force evaluation model. This approach broadens the range of available modes and addresses mismatches between modes before and after cable force loss. To enhance the accuracy and reliability of the force evaluation, a robust sparse Bayesian learning method is proposed. Measurement noise is modeled as a mixture of Gaussian distributions rather than a single Gaussian distribution, enabling a more precise representation of uncertainties in force evaluation. Furthermore, a feedback-driven error optimization process is introduced to minimize residuals through multiple linear iterations. Numerical simulations demonstrate that the proposed method achieves greater evaluation accuracy compared to existing sparse Bayesian approaches. Comparative analyses under varying noise levels reveal that the proposed method is robust and effectively reduces the impact of measurement noise.
Keyword:
Force evaluation
Prestressed cable-strut structure
Sparse Bayesian learning
Expectation-maximization algorithm
Uncertainty quantification
期刊
IF:
6.4
论文数:
2.1W
被引数:
8.7W
机构
引用论文
Hierarchical sparse Bayesian learning for structural damage detection: Theory, computation and application.png)
STRUCTURAL SAFETY
STRUCTURAL SAFETYIF6.3
PREAI
分享收藏Accelerating computations in two-stage Bayesian system identification with Fisher information matrix and eigenvalue sensitivity用Fisher信息矩阵和特征值灵敏度加速两阶段贝叶斯系统辨识中的计算
PREAI
分享收藏Modal Strain Energy-Based Model Updating Method for Damage Identification on Beam-Like Structures基于模态应变能的梁式结构损伤识别模型修正方法
PREAI
分享收藏Efficient Bayesian inference for finite element model updating with surrogate modeling techniques
PREAI
分享收藏
查看更多内容