Ming Yang

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Assistant professor of safety and security science

Delft University of Technology

Netherlands

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About

Dr. Ming Yang is an Assistant Professor of Safety and Security Science at Delft University of Technology in the Netherlands. His research focuses on resilience assessment in transportation networks, pipeline system reliability, and safety management in the maritime industry, particularly with ammonia-powered ships. He has published recent articles on critical factors in structural safety and risk-informed design, emphasizing a multidisciplinary approach to safety and risk assessment.

Recent Grants

Grant: Open

AmmoniaDrive

Open Date: 2023-02-01

Close Date: 2027-02-01

Grant: Close

FUSION

Open Date: 2022-12-01

Close Date: 2025-12-01

Grant: Close

Value of Safety

Open Date: 2020-10-01

Close Date: 2021-08-01

Grant: Close

Development of a conditioning monitoring-based asset integrity management system for process facilities

Open Date: 2020-01-01

Close Date: 2022-01-01

Grant: Close

Quantitative resilience assessment of process systems operating in harsh environments

Open Date: 2019-05-01

Close Date: 2021-04-01

Articles (28)

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Collaborators (7)

Sidum Adumene

CANADA

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Pieter van Gelder

Professor of Safety Science

TU Delft

NETHERLANDS

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yuanyuan xu

Delft University of Technology

NETHERLANDS

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T M Rabiul Islam

Lecturer- Marine Engineering

University of Tasmania

AUSTRALIA

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VALERIO COZZANI

Professor

University of Bologna

ITALY

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Erica Arango

Delft University of Technology

NETHERLANDS

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Mark Stewart

Distinguished Professor of Civil Engineering

University of Sydney

AUSTRALIA

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Ming Yang

Research Interests

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About

Recent Grants

Articles (28)

Resilience assessment in post-wildfire recovery of road transport networks by dynamic thresholds and characteristic curves

Enhancing pipeline system resilience: a reliability-centric approach

Beyond technical barriers: enhancing onboard safety through human-machine interaction management in ammonia-powered ships

Critical Human and Organizational Factors for Structural Safety in the Dutch Construction Industry

Integrating Process Safety and Process Security Risk Management: Practitioner Insights for a Resilience-Oriented Framework

A Monte Carlo-based modeling method for the spatial-temporal evolution process of multi-hazard and higher-order domino effect

Risk Assessment of Ammonia Fueled Ships: Consequences on Human Health of Ammonia Releases from Damaged Fuel Storage Tanks

Optimizing safety barrier allocation to prevent domino effects in large-scale chemical clusters using graph theory and optimization algorithms

An integrated approach to quantitative resilience assessment in process systems

Dynamic risk assessment of chemical process systems using the System-Theoretic accident model and process approach (STAMP) in combination with cascading failure propagation model (CFPM)

Emergency response in cascading scenarios triggered by natural events

Buckling failure analysis of storage tanks under the synergistic effects of fire and wind loads

Integrated process safety and process security risk assessment of industrial cyber-physical systems in chemical plants

Towards risk-informed design and operation of ammonia-powered ships: Critical aspects and prospective solutions

A Multidisciplinary Review into the Evolution of Risk Concepts and Their Assessment Methods

A Bayesian-network approach for assessing the probability of success of physical security attacks to offshore Oil&amp;Gas facilities

Uncertainties and their treatment in the quantitative risk assessment of domino effects: Classification and review

Uncertainty Modeling of a Chemical System with a Flexible Node by Mapping the Fault Tree into the Response Surface Method

Cost-effective maintenance of safety and security barriers in the chemical process industries via genetic algorithm

Inference algorithms for the useful life of safety instrumented systems under small failure sample data

A risk-based approach to inspection planning for pipelines considering the coupling effect of corrosion and dents

Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data

An integrated resilience assessment methodology for emergency response systems based on multi-stage STAMP and dynamic Bayesian networks

Influence-Based Consequence Assessment of Subsea Pipeline Failure under Stochastic Degradation

Bibliometric Analysis of Accidental Oil Spills in Ice-Infested Waters

A Quantitative Framework for Resilience Assessment of Complex Engineered Systems under Uncertainty

A STAMP-based approach to quantitative resilience assessment of chemical process systems

A virtual experiment for measuring system resilience: A case of chemical process systems

Collaborators (7)

Sidum Adumene

Pieter van Gelder

yuanyuan xu

T M Rabiul Islam

VALERIO COZZANI

Erica Arango

Mark Stewart

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A Bayesian-network approach for assessing the probability of success of physical security attacks to offshore Oil&Gas facilities