Structural damage identification using piezoelectric impedance measurement with sparse inverse analysis

P Cao, S Qi, J Tang - Smart Materials and Structures, 2018 - iopscience.iop.org
The impedance/admittance measurements of a piezoelectric transducer bonded to or
embedded in a host structure can be used as damage indicator. When a credible model of …

Mixed-input Bayesian optimization method for structural damage diagnosis

C Huang, J Lee, Y Zhang, S Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Structural health monitoring (SHM) is of significant importance in the operation of
engineering systems to ensure the durability and reliability. In this article, we introduce a …

[HTML][HTML] Review and Computational Study on Practicality of Derivative-Free DIRECT-Type Methods

L Stripinis, R Paulavičius - Informatica, 2024 - informatica.vu.lt
Derivative-free DIRECT-type global optimization algorithms are increasingly favoured for
their simplicity and effectiveness in addressing real-world optimization challenges. This …

A multi-objective DIRECT algorithm toward structural damage identification with limited dynamic response information

P Cao, Q Shuai, J Tang - Journal of …, 2018 - asmedigitalcollection.asme.org
A major challenge in structural health monitoring (SHM) is to accurately identify both the
location and severity of damage using the dynamic response information acquired. While in …

Damage identification method for medium-and small-span bridges based on macro-strain data under vehicle–bridge coupling

H Zhang, Z Zhong, J Duan, J Yang, Z Zheng, G Liu - Materials, 2022 - mdpi.com
The damage identification method based on macro-strain modality has shown good results
for large-span flexible bridges. However, medium-and small-span bridges have a high …

The Role of the DIRECT Algorithm in Derivative-Free Global Optimization

L Stripinis, R Paulavičius - Derivative-free DIRECT-type Global …, 2023 - Springer
This chapter serves as an introduction to the global optimization problems explored within
this book, offering a succinct overview of existing derivative-free techniques for global …

Data-Driven and Physics-Based Modeling and Optimization for Smart Systems

C Huang - 2024 - search.proquest.com
Smart systems are systems embedded with various types of sensors and smart components
(eg, a robot) for superior systems performance and optimal utilization of resources. Due to …

Flow analysis and damage assessment for concrete box girder based on flow characteristics

XF Ye, KC Chang, CW Kim, H Ogai, Y Oshima… - Sustainability, 2019 - mdpi.com
For a system such as the concrete structure, flow can be the dynamic field to describe the
motion, interactions, or both in dynamic or static (Eulerian description) states. Further …

Optimal football pressure as a function of a footballer's physical abilities

A Christenson, P Cao, J Tang - Proceedings, 2018 - mdpi.com
Football is one of the most popular sports in the world. It is played by a diverse set of people,
from little kids to professional athletes, who possess a large range of physical abilities and …

Data Sampling and Reasoning: Harnessing Optimization and Machine Learning for Design and System Identification

P Cao - 2018 - digitalcommons.lib.uconn.edu
The recently rapid advancements in sensing devices and computational power have caused
paradigm shift in engineering analyses: data driven and sampling-based approaches play …