Dynamic load identification for mechanical systems: A review
R Liu, E Dobriban, Z Hou, K Qian - Archives of Computational Methods in …, 2022 - Springer
Due to the great challenges of measuring forces directly, identifying dynamic loads based on
accessible responses is a crucial problem in engineering, helping ensure integrity and …
accessible responses is a crucial problem in engineering, helping ensure integrity and …
Artificial Neural Network (ANN)-Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties
In view of the universal existence of multi-source uncertainty factors in engineering
structures, a novel method of dynamic force reconstruction is investigated based on Artificial …
structures, a novel method of dynamic force reconstruction is investigated based on Artificial …
[PDF][PDF] 动载荷识别方法的研究进展
杨智春， 贾有 - 力学进展, 2015 - imechanica.org
摘要大多数情况下, 作用在工程结构上的动载荷, 如高性能战斗机在大攻角机动飞行时作用在垂
尾结构上的抖振载荷, 是无法直接测量的, 只能通过测试结构在动载荷作用下的动态响应来识别 …
尾结构上的抖振载荷, 是无法直接测量的, 只能通过测试结构在动载荷作用下的动态响应来识别 …
Multiobjective-clustering-based optimal heterogeneous sensor placement method for thermo-mechanical load identification
The direct measurement of external loads acting on structures remains a challenge in many
engineering applications. In this context, mechanical load identification has received …
engineering applications. In this context, mechanical load identification has received …
A hybrid model-data-driven framework for inverse load identification of interval structures based on physics-informed neural network and improved Kalman filter …
Accurately capturing data on the external loads that large structural systems endure is
crucial for improving the performance of energy equipment. This paper introduces a novel …
crucial for improving the performance of energy equipment. This paper introduces a novel …
A two-step weighting regularization method for stochastic excitation identification under multi-source uncertainties based on response superposition-decomposition …
Excitation identification has received considerable attention because of its importance in
safety assessment and structural design. This paper proposed a power spectral density …
safety assessment and structural design. This paper proposed a power spectral density …
Load-independent multi-objective sensor placement method for localization and reconstruction of external excitations under interval uncertainties
The direct measurement of external excitations under operation conditions remains
challenging in many engineering applications. This study proposes a method of optimal …
challenging in many engineering applications. This study proposes a method of optimal …
Moving force identification based on redundant concatenated dictionary and weighted l1-norm regularization
Moving force identification (MFI) is an important inverse problem in the field of bridge
structural health monitoring (SHM). Reasonable signal structures of moving forces are rarely …
structural health monitoring (SHM). Reasonable signal structures of moving forces are rarely …
A Gaussian process latent force model for joint input-state estimation in linear structural systems
The problem of combined state and input estimation of linear structural systems based on
measured responses and a priori knowledge of structural model is considered. A novel …
measured responses and a priori knowledge of structural model is considered. A novel …
Joint parameter-input estimation for digital twinning of the Block Island wind turbine using output-only measurements
This paper presents a recursive Bayesian inference framework for digital twinning of an
offshore wind turbine (OWT) in the Block Island Wind Farm (BIWF), the first commercial …
offshore wind turbine (OWT) in the Block Island Wind Farm (BIWF), the first commercial …