Jiaming Cheng

ORCID: 0000-0003-2271-3143
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About
Contact & Profiles
Research Areas
  • Probabilistic and Robust Engineering Design
  • Advanced Multi-Objective Optimization Algorithms
  • Non-Destructive Testing Techniques
  • Structural Engineering and Vibration Analysis
  • Optimal Experimental Design Methods
  • Wind and Air Flow Studies
  • Fatigue and fracture mechanics
  • 3D Surveying and Cultural Heritage
  • Infrastructure Maintenance and Monitoring
  • Advanced Welding Techniques Analysis
  • Geotechnical Engineering and Analysis
  • Machine Learning and ELM
  • Structural Health Monitoring Techniques
  • Welding Techniques and Residual Stresses

Southeast University
2021-2024

Jinan University
2019-2021

10.1007/s40430-021-03257-1 article EN Journal of the Brazilian Society of Mechanical Sciences and Engineering 2021-11-18

It is of extreme importance to assess the failure probability and safety level structural system in design. Nowadays, many researchers presented several approaches for reliability analysis, such as first-order method, Monte Carlo simulation, meta-heuristic algorithm. The algorithm not only efficient solve global optimization problems but also shown be an effective tool analysis. A recent approach, enhanced colliding bodies optimization, has emerged a relatively simple implementation with...

10.1177/1369433219875295 article EN Advances in Structural Engineering 2019-09-13

10.1007/s00158-021-02857-8 article EN Structural and Multidisciplinary Optimization 2021-02-09

Abstract Large-span spatial truss structures are widely used for their high performance, making it crucial to ensure proper installation quality. Currently, the lifting process of large-span structure is guided by visual observation, which both imprecise and time-consuming. This paper presents a vision-based monitoring system designed guide in real-time. A deep learning-based target detector initially tracks trajectory welded balls during process. To precisely extract center point each ball...

10.1088/2631-8695/ad885d article EN Engineering Research Express 2024-10-17

Abstract Conventional First order reliability method (FORM) usually encounters divergence and non-convergence for high nonlinear performance functions. This paper puts forward an improved FORM coupling with a newly raised metaheuristic optimization algorithm, that is, Group teaching algorithm (GTO). The GTO is inspired by grouping strategy, featured no additional control parameters, has shown excellent global search ability problems. Thus, the utilized to solve equivalent constrained problem...

10.1088/1755-1315/719/2/022015 article EN IOP Conference Series Earth and Environmental Science 2021-04-01
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