A5080565326- Probabilistic and Robust Engineering Design
- Advanced Multi-Objective Optimization Algorithms
- Reliability and Maintenance Optimization
- Structural Health Monitoring Techniques
- Fatigue and fracture mechanics
- Optimal Experimental Design Methods
- Biomimetic flight and propulsion mechanisms
- Risk and Safety Analysis
- Topology Optimization in Engineering
- Catalytic Processes in Materials Science
- Manufacturing Process and Optimization
- Analytical Chemistry and Chromatography
- Mechanical Engineering and Vibrations Research
- Non-Destructive Testing Techniques
- Catalysis and Oxidation Reactions
- Software Reliability and Analysis Research
- Protein purification and stability
- Fault Detection and Control Systems
- Wind and Air Flow Studies
- Industrial Technology and Control Systems
- Zeolite Catalysis and Synthesis
- Mesoporous Materials and Catalysis
- Structural Response to Dynamic Loads
- Statistical Distribution Estimation and Applications
- Concrete Corrosion and Durability
University of Electronic Science and Technology of China
2016-2025
Huzhou University
2022-2024
Institute of Electronics
2024
Shenzhen Institutes of Advanced Technology
2023
Gansu Institute of Political Science and Law
2018-2022
Dalian Jiaotong University
2022
State Key Laboratory of Mechanical Transmission
2014-2017
Glasgow Caledonian University
2015
Chongqing University
2014
Lanzhou Institute of Chemical Physics
2008-2013
In this study, based on the Miner rule, a new linear damage accumulation rule is proposed to consider strengthening and damaging of low amplitude loads with different sequences using fuzzy sets theory. This model improves application traditional by considering not only loads, but also load sequence effects. To apply model, law selecting membership functions for spectra found, are investigated show important influence estimating fatigue life. Applicability method validated comparing...
The Monte Carlo simulation (MCS) can provide high reliability evaluation accuracy. However, the efficiency of crude MCS is quite low, in large part because it computationally expensive to evaluate a very small failure probability. In this paper, subset simulation-based analysis (SSRA) approach combined with multidisciplinary design optimization (MDO) improve computational reliability-based MDO (RBMDO) problems. Furthermore, sequential and assessment (SORA) utilized decouple an RBMDO problem...
A reliability-based optimization framework is introduced and used to design filament-wound cylindrical shells with variable angle tow. Seven cases are investigated enable a comparison between constant-stiffness tow designs, also considering effects of thickness variation created due overlapping paths, determined using the kinematics filament winding manufacturing process. The uncertainty in considered by means metamodels constructed Kriging method. Moving search windows incorporated into...
Abstract Variable-angle filament-wound (VAFW) cylinders are herein optimized for minimum mass under manufacturing constraints, and various design loads. A parameterization based on a second-order polynomial variation of the tow winding angle along axial direction is utilized to explore nonlinear steering-thickness dependency in VAFW structures, whereby thickness becomes function filament steering angle. Particle swarm optimization coupled with three Kriging-based metamodels used find optimum...
This paper develops a material-structure integrated design and optimization method based on multiscale approach for the lightweight of CFRP car doors. Initially, parametric modeling RVE is implemented, their elastic performance parameters are predicted using homogenization theory thermal stress, exploring impact composite material performance. Subsequently, finite element model door constructed principle equal stiffness, parameter transfer across microscale, mesoscale, macroscale levels...
There has been quite some research on the development of tools and techniques for grid systems, yet important issues, e.g., service reliability task scheduling in grid, have not sufficiently studied. For services which large subtasks requiring time-consuming computation, could be rather low. To resolve this problem, paper introduces Local Node Fault Recovery (LNFR) mechanism into presents an in-depth study modeling analysis with kind fault recovery. make LNFR practical, constraints, i.e....
Abstract Due to the uncertainties and dynamic parameters from design, manufacturing, working conditions, many engineering structures usually show uncertain properties. This paper proposes a novel time-variant reliability analysis method using failure processes decomposition transform problems time-invariant for under uncertainties. The transformation is achieved via two-stage decomposition. First, limit state function with high dimensional input variables order temporal transformed quadratic...
Time-dependent reliability is the probability that a system will perform its intended function successfully for specified time. Unless many and often unrealistic assumptions are made, accuracy efficiency of time-dependent estimation major issues which may limit practicality. Monte Carlo simulation (MCS) accurate easy to use but it computationally prohibitive high dimensional, long duration, (dynamic) systems with low failure probability. This work addresses random parameters excited by...
Collision-free navigation of mobile robots is a challenging task, especially in unknown environments, and various studies have been carried out this regard. However, the previous shortcomings, such as low performance cluttered high computational costs, multiple controller models for navigation. This paper proposes an adaptive neuro-fuzzy inference system (ANFIS) global positioning (GPS) control to overcome these problems. The proposed method automates robot while averting obstacles densely...
The recovery rate of magnetic beads is a crucial factor in evaluating the performance flow fluorescence immunoassay analyzer. This paper proposes an optimal design method for analyzer using orthogonal testing and comprehensive sensitivity analysis. experimental was employed to reduce number analysis tests required key parameters Through rigorous evaluation, combination adsorption height, liquid volume, time determined. results demonstrate that this can significantly improve beads. provides...
Reliability-based design (RBD) ensures high reliability with a reduced cost. Most of the RBD methodologies do not account for maintenance and warranty actions. As result, result may be truly optimal in terms lifecycle reliability. This work attempts to integrate reliability, maintenance, during RBD. Three models are built. The total cost production, minimized. computational procedures solving developed. demonstrated by two examples, proposed meet only initial requirement but also requirements costs.