System resilience assessment method of urban lifeline system for GIS

2018 ◽  
Vol 71 ◽  
pp. 67-80 ◽  
Author(s):  
Wenjie Huang ◽  
Mengzhi Ling
Keyword(s):  
Assessment Method ◽  
Lifeline System ◽  
System Resilience ◽  
Resilience Assessment

scholarly journals Resilience Assessment Based on Time-Dependent System Reliability Analysis

2016 ◽  
Vol 138 (11) ◽  
Author(s):  
Zhen Hu ◽  
Sankaran Mahadevan
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Assessment Method ◽  
Time Dependent ◽  
Design Stage ◽  
System Failure ◽  
System Reliability Analysis ◽  
System Resilience ◽  
Resilience Assessment ◽  
Time Dependent System

Significant efforts have been recently devoted to the qualitative and quantitative evaluation of resilience in engineering systems. Current resilience evaluation methods, however, have mainly focused on business supply chains and civil infrastructure, and need to be extended for application in engineering design. A new resilience metric is proposed in this paper for the design of mechanical systems to bridge this gap, by investigating the effects of recovery activity and system failure paths on system resilience. The defined resilience metric is connected to design through time-dependent system reliability analysis. This connection enables us to design a system for a specific resilience target in the design stage. Since computationally expensive computer simulations are usually used in design, a surrogate modeling method is developed to efficiently perform time-dependent system reliability analysis. Based on the time-dependent system reliability analysis, dominant system failure paths are enumerated and then the system resilience is estimated. The connection between the proposed resilience assessment method and design is explored through sensitivity analysis and component importance measure (CIM). Two numerical examples are used to illustrate the effectiveness of the proposed resilience assessment method.

Resilience Assessment Based on Time-Dependent System Reliability Analysis

2016 ◽  
Author(s):  
Zhen Hu ◽  
Sankaran Mahadevan
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Assessment Method ◽  
Time Dependent ◽  
Importance Measure ◽  
System Reliability Analysis ◽  
Component Importance ◽  
System Resilience ◽  
Resilience Assessment ◽  
Time Dependent System

Significant efforts have been recently devoted to the qualitative and quantitative evaluation of resilience in engineering systems. Current resilience evaluation methods, however, have mainly focused on business supply chains and civil infrastructure, and need to be extended for application in engineering design. A new resilience metric is proposed in this paper for the design of mechanical systems to bridge this gap, by investigating the effects of recovery activity and failure scenarios on system resilience. The defined resilience metric is connected to design through time-dependent system reliability analysis. This connection enables us to design a system for a specific resilience target in the design stage. Since computationally expensive computer simulations are usually used in design, a surrogate modeling method is developed to efficiently perform time-dependent system reliability analysis for resilience assessment. System resilience assessment is then investigated based on the developed time-dependent system reliability analysis method. The connection between the proposed resilience assessment method and design is discussed through the sensitivity analysis and component importance measure. Two numerical examples are used to illustrate the effectiveness of the proposed resilience assessment method and the associated sensitivity analysis and component importance measure.

scholarly journals Measuring Resilience Potentials: A Pilot Program Using the Resilience Assessment Grid

Safety ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 51
Author(s):  
Karen Klockner ◽  
Peter Meredith
Keyword(s):  
Road Transport ◽  
Safety Performance ◽  
Theory And Practice ◽  
Resilience Engineering ◽  
Operational Safety ◽  
The Face ◽  
System Variability ◽  
System Resilience ◽  
Technical Systems ◽  
Resilience Assessment

Researchers in the resilience engineering space have proposed the notion that organisations operating in complex socio-technical systems cannot ‘be’ resilient but can have the ‘potential for resilient performance’. This theoretical stance also suggests that organisations wanting to enhance their potential for resilience begin by measuring their operational safety performance against four key potentials, these being: the Potential to Anticipate; the Potential to Respond; the Potential to Learn; and the Potential to Monitor. Furthermore, to measure these four key resilience constructs, organisations have been recommended to use a Resilience Assessment Grid (RAG) developed as part of this theory. However, scarce research appears to have been conducted that bridges the theory and practice divide on just how organisations can pragmatically measure their current performance against these four resilience potentials using the RAG. Therefore, this research was interested in undertaking a pilot study using RAG theory in order to examine an organisation’s four resilience potentials, and was conducted within a large road transport organisation in Australia. Results indicated that measuring both the four individual potentials and a combination of the four potentials was possible using a RAG and proved effective in providing a snapshot of operational safety system resilience concepts. Recommendations on how to increase organisational resilience potentials were provided to ensure future safety endeavours would enhance the organisation’s potential to be resilience in the face of system variability and operational demands.

scholarly journals Resilience Assessment for HDG under Extreme Events

2021 ◽  
Vol 256 ◽  
pp. 02020
Author(s):  
Saiyi Wang ◽  
Weiguo He ◽  
Haodong Shen ◽  
Tangyun Xu ◽  
Shichao Zhou ◽  
...  
Keyword(s):  
Natural Disasters ◽  
Extreme Events ◽  
Distribution Network ◽  
Monte Carlo Sampling ◽  
Assessment Method ◽  
Distribution Grid ◽  
Operating Characteristics ◽  
Improvement Strategy ◽  
Entropy Weight ◽  
Resilience Assessment

The resilience assessment method of hybrid AC-DC distribution grid is the key and basis of measuring the tolerance of the distribution network in face of extreme events and testing the effect of the resilience improvement strategy of the distribution network. This paper fully considers the characteristics of different extreme natural disasters and proposes a targeted resilience assessment method. For natural disasters, the fault rate model of the line under the influence of the disaster is constructed, and the fault set is generated based on Monte Carlo sampling. According to the operating characteristics, a set of evaluation indicators focusing on the core characteristics of resilience, including capability of strain, defense and recoverability, is constructed. The objective weight of each indicator and the comprehensive assessment results are obtained based relatively on the entropy weight method and the approximate ideal solution sorting method.

scholarly journals Quantification of the Benefits for Power System of Resilience Boosting Measures

2020 ◽  
Vol 10 (16) ◽  
pp. 5402
Author(s):  
Emanuele Ciapessoni ◽  
Diego Cirio ◽  
Andrea Pitto ◽  
Marino Sforna
Keyword(s):  
Power Systems ◽  
Power System ◽  
Climate Changes ◽  
System Resilience ◽  
Set Up ◽  
Resilience Indicators ◽  
Power System Resilience ◽  
Resilience Assessment

Severe natural events leading to wide and intense impacts on power systems are becoming more and more frequent due to climate changes. Operators are urged to set up plans to assess the possible consequences of such events, in view of counteracting them. To this aim, the application of the resilience concept can be beneficial. The paper describes a methodology for power system resilience assessment and enhancement, aimed at quantifying both system resilience indicators evaluated for severe threats, and the benefits to resilience brought by operational and grid hardening measures. The capabilities of the methodology are demonstrated on real study cases.

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