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Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …
smart monitoring and decision-making solutions. Near real-time and online damage …
A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
A review of multi-objective optimization: methods and algorithms in mechanical engineering problems
The optimization problems that must meet more than one objective are called multi-objective
optimization problems and may present several optimal solutions. This manuscript brings …
optimization problems and may present several optimal solutions. This manuscript brings …
The need for multi-sensor data fusion in structural health monitoring of composite aircraft structures
With the increased use of composites in aircraft, many new successful contributions to the
advancement of the structural health monitoring (SHM) field for composite aerospace …
advancement of the structural health monitoring (SHM) field for composite aerospace …
Multi-objective lichtenberg algorithm: A hybrid physics-based meta-heuristic for solving engineering problems
With the advancement of computing and inspired by optimal phenomena found in nature,
several algorithms capable of solving complex engineering problems have been developed …
several algorithms capable of solving complex engineering problems have been developed …
Multi-objective heat transfer search algorithm for truss optimization
In the real world, we often come across conditions like optimization of more than one
objective functions concurrently which are of conflicting nature and that makes the prospect …
objective functions concurrently which are of conflicting nature and that makes the prospect …
Multi-objective sensor placement optimization of helicopter rotor blade based on Feature Selection
This work aims to develop a Structural Health Monitoring methodology that maximizes the
acquired modal response and minimizes the number of sensors in a helicopter's main rotor …
acquired modal response and minimizes the number of sensors in a helicopter's main rotor …
Optimized damage identification in CFRP plates by reduced mode shapes and GA-ANN methods
Delamination is one of the most common failure mode in laminated composites that leads
the separation along the interfaces of the layers. The structural performance can be …
the separation along the interfaces of the layers. The structural performance can be …
Multi-objective sensor placement optimization in SHM systems with Kriging-based mode shape interpolation
Sensor location optimization plays a key role in the application and development of
structural integrity monitoring methodologies, especially in large mechanical structures …
structural integrity monitoring methodologies, especially in large mechanical structures …
Damage identification of offshore jacket platforms in a digital twin framework considering optimal sensor placement
M Wang, A Incecik, S Feng, MK Gupta… - Reliability Engineering & …, 2023 - Elsevier
A new digital twin (DT) framework with optimal sensor placement (OSP) is proposed to
accurately calculate the modal responses and identify the damage ratios of the offshore …
accurately calculate the modal responses and identify the damage ratios of the offshore …