Z. Zhang

ORCID: 0000-0003-2203-7376
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Probabilistic and Robust Engineering Design
  • Fatigue and fracture mechanics
  • Structural Health Monitoring Techniques
  • Advanced Multi-Objective Optimization Algorithms
  • Wind and Air Flow Studies
  • Concrete Corrosion and Durability
  • Electromagnetic wave absorption materials
  • Asphalt Pavement Performance Evaluation
  • Control Systems and Identification
  • Advanced Antenna and Metasurface Technologies
  • Metamaterials and Metasurfaces Applications
  • Advanced Decision-Making Techniques
  • Numerical Methods and Algorithms
  • Risk and Safety Analysis
  • Statistical Distribution Estimation and Applications
  • Infrastructure Maintenance and Monitoring

Hunan University
2012-2024

Abstract Traditional reliability analysis generally uses probability approach to quantify the uncertainty, while it needs a great amount of information construct precise distributions uncertain parameters. In this paper, new technique is developed based on hybrid model, which can deal with problems limited information. All parameters are treated as random variables, some their distribution not given values but variation intervals. Due existence interval parameters, limit-state strip enclosed...

10.1115/1.4005595 article EN Journal of Mechanical Design 2012-02-18

Abstract Epistemic uncertainty is widespread in reliability analysis of practical engineering products. Evidence theory regarded as a powerful model for quantifying and analyzing epistemic uncertainty. However, the heavy computational burden has severely hindered its application problems, which essentially caused by repeated extreme limit-state function (LSF). In order to address issue, this paper proposes novel method solve evidence-theory-based (ETRA). It transforms conventional ETRA...

10.1115/1.4062271 article EN cc-by Journal of Mechanical Design 2023-04-05

In this paper, an efficient optimization method named NIO-SLP is suggested for uncertain structures by using the non-probabilistic interval model to quantify uncertainty. A general nonlinear (NIO) problem investigated, in which both of objective function and constraints are uncertain. sequence approximate sub-problems created based on first-order Taylor expansion each one degenerates into a simple linear (LIO) problem. An iterative mechanism proposed update design space whereby make converge...

10.1142/s021987621100285x article EN International Journal of Computational Methods 2011-11-02
Coming Soon ...