M
Minghui Cheng
Researcher at Lehigh University
Publications - 11
Citations - 101
Minghui Cheng is an academic researcher from Lehigh University. The author has contributed to research in topics: Computer science & Risk analysis. The author has an hindex of 4, co-authored 9 publications receiving 42 citations.
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Risk-based life-cycle optimal dry-docking inspection of corroding ship hull tankers
TL;DR: A risk-based maintenance decision-making framework for ships to address the economically optimal dry-docking inspection interval is proposed and Monte Carlo simulations are employed to obtain the probability distribution of the life-cycle cost.
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Risk-informed structural repair decision making for service life extension of aging naval ships
TL;DR: In this paper, a framework for a synthesized life-cycle risk analysis integrating the aged ship's performance considering reliability, cost, and availability is presented, which enables decision makers to choose optimal repair option with respect to different service life extension needs.
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Life-cycle optimization of structural systems based on cumulative prospect theory: Effects of the reference point and risk attitudes
TL;DR: In this article, the parameters of cumulative prospect theory (CPT) were calibrated through a survey among students and practicing engineers in the field of structural engineering, and the fitted model was applied to life-cycle maintenance of a steel girder bridge.
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Investigation of Effects of Time Preference and Risk Perception on Life-Cycle Management of Civil Infrastructure
TL;DR: In this article, life cycle management (LCM) of civil infrastructures has been studied in order to achieve long service life and low probability of failure in infrastructure systems.
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Risk-based decision-making on corrosion delay for ship hull tankers
TL;DR: The results show that corrosion addition by IACS may not be economically optimal; the reduction in the life-cycle cost through corrosion addition and the optimal corrosion addition achieving the maximum benefit varies with the item costs specified.