Yongtu Liang

According to our database1, Yongtu Liang authored at least 15 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


An integrated methodology for the supply reliability analysis of multi-product pipeline systems under pumps failure.
Reliab. Eng. Syst. Saf., 2020

A leakage risk assessment method for hazardous liquid pipeline based on Markov chain Monte Carlo.
Int. J. Crit. Infrastructure Prot., 2019

A hybrid time MILP model for the pump scheduling of multi-product pipelines based on the rigorous description of the pipeline hydraulic loss changes.
Comput. Chem. Eng., 2019

A MILP model for the detailed scheduling of multiproduct pipelines with the hydraulic constraints rigorously considered.
Comput. Chem. Eng., 2019

A MINLP model for the optimal waterflooding strategy and operation control of surface waterflooding pipeline network considering reservoir characteristics.
Comput. Chem. Eng., 2019

New batch-centric model for detailed scheduling and inventory management of mesh pipeline networks.
Comput. Chem. Eng., 2019

Optimal design and operation for supply chain system of multi-state natural gas under uncertainties of demand and purchase price.
Comput. Ind. Eng., 2019

A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption.
IEEE Access, 2019

Robust Optimization for Emergency Scheduling of Oil Products After Disaster.
IEEE Access, 2019

Improved PSO-Based Method for Leak Detection and Localization in Liquid Pipelines.
IEEE Trans. Ind. Informatics, 2018

A self-learning approach for optimal detailed scheduling of multi-product pipeline.
J. Comput. Appl. Math., 2018

A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development.
Comput. Chem. Eng., 2018

A MILP model based on flowrate database for detailed scheduling of a multi-product pipeline with multiple pump stations.
Comput. Chem. Eng., 2018

A novel particle swarm optimization based on prey-predator relationship.
Appl. Soft Comput., 2018

An automatic detailed scheduling method of refined products pipeline.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016