Results 1 to 10 of about 14,032,764 (185)
Dynamic model updating (DMU) approach for statistical learning model building with missing data [PDF]
BMC Bioinformatics, 2021 Background Developing statistical and machine learning methods on studies with missing information is a ubiquitous challenge in real-world biological research.
Rahi Jain, Wei Xu
doaj +2 more sources
Accounting for Modeling Errors and Inherent Structural Variability through a Hierarchical Bayesian Model Updating Approach: An Overview [PDF]
Sensors, 2020 Mechanics-based dynamic models are commonly used in the design and performance assessment of structural systems, and their accuracy can be improved by integrating models with measured data.
Mingming Song +3 more
doaj +2 more sources
Real-Time Structural Health Monitoring and Damage Identification Using Frequency Response Functions along with Finite Element Model Updating Technique [PDF]
Sensors, 2022 Throughout service, damage can arise in the structure of buildings; hence, their dynamic testing becomes essential to verify that such buildings possess sufficient strength to withstand disturbances, particularly in the event of an earthquake.
Tarunpreet Singh +3 more
doaj +2 more sources
IEEE Access, 2021 Model updating can improve the accuracy of the multistage gearbox dynamic model (MGDM). However, owing to the time-consuming calculations and numerous parameters of the MGDM, previous updating methods are not suitable for updating the MGDM.
Huachao Xu +3 more
doaj +1 more source
Infrastructures, 2023 This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two different point clouds
F. Necati Catbas +4 more
doaj +1 more source
To Update Or Not to Update? Neurons at Equilibrium in Deep Models
Advances in Neural Information Processing Systems 35, 2022 Recent advances in deep learning optimization showed that, with some a-posteriori information on fully-trained models, it is possible to match the same performance by simply training a subset of their parameters. Such a discovery has a broad impact from theory to applications, driving the research towards methods to identify the minimum subset of ...
Andrea Bragagnolo +2 more
openaire +4 more sources
A Dynamic Model Updating Method with Thermal Effects Based on Improved Support Vector Regression
Applied Sciences, 2021 The dynamic modeling of structures in a thermal environment has become a new research topic in structural dynamics. The amount of calculation caused by the complexity of the structure and the size of the FEM, which increase the difficulty in modeling the
Zhe Chen, Qijun Zhao
doaj +1 more source
Mathematical and Computational Applications, 2023 To rigorously evaluate the health of a steel bridge subjected to vehicle-induced fatigue, both a detailed numerical model and effective fatigue analysis methods are needed. In this paper, the process for establishing the structural health monitoring (SHM)
Li Dai, Mi-Da Cui, Xiao-Xiang Cheng
doaj +1 more source
Frequency Separation in Architected Structures using Inverse Methods [PDF]
Journal of Applied and Computational Mechanics, 2021 A major goal in the design of architected structures for low frequency vibration applications (also called mechanical metamaterials, metastructures, elastic metamaterials, auxetic structures) is the creation of regions in the frequency domain where ...
Daniel J. Inman, Aishwarya Gunasekar
doaj +1 more source
Applied Sciences, 2022 Centrifugal tests provide an efficacious experimental process to predict the behavior of deep excavations, and numerical models are indispensable for demonstrating the test results and analyzing the engineering demand parameters.
Md Mehidi Hassan +5 more
doaj +1 more source