Dear Pardeep Kumar

The simplest, most accurate and computational costly method in reliability analysis is the sampling method. The reliability analysis without a Response surface or neural network for a real engineering structure such as bridge and dams etc is impossible. This is a serious problem in the reliability analysis of real engineering structures.

Another idea is to develop the free open-source program based on Python that fast evaluates the closed-form failure functions.

In the below link some of my recent Reliability Assessment of Real Engineering structures available:

Article Reliability Assessment and Sensitivity Analysis of Concrete ...

Article Reliability analysis of Pole Kheshti historical arch bridge ...

Article Probabilistic Safety Evaluation of a Concrete arch dam Based...

Yours Faithfully

Majid

Dear Pardeep Kumar

The simplest, most accurate and computational costly method in reliability analysis is the sampling method. The reliability analysis without a Response surface or neural network for a real engineering structure such as bridge and dams etc is impossible. This is a serious problem in the reliability analysis of real engineering structures.

Another idea is to develop the free open-source program based on Python that fast evaluates the closed-form failure functions.

In the below link some of my recent Reliability Assessment of Real Engineering structures available:

Article Reliability Assessment and Sensitivity Analysis of Concrete ...

Article Reliability analysis of Pole Kheshti historical arch bridge ...

Article Probabilistic Safety Evaluation of a Concrete arch dam Based...

Yours Faithfully

Majid

Hello,

If you talk about reliability modelling, the two topic herafter should be considered:

- modelling the reliability of a system mixing hardware and software failures because at the present time they are considered separately and this is not really relevant: more systemic appraoches are needed.

- most of the reliability models are built for curative maintenance (i.e. the failure occurs and then it is repaired) when predictive maintenance is now more and more implemented (i.e. repair is undertaken before that the failure actually occurs) and the models based on curative maintenace become obsolète.

Best regards

JPS

Dear Pardeep Kumar

I would suggest the following hot topics in the field of reliability engineering:

1- Reliability and Safety evaluation of Artificial Intelligence (AI) or Machine Learning based systems.

E.g. Can you trust this prediction? Auditing pointwise reliability after learning

http://proceedings.mlr.press/v89/schulam19a/schulam19a.pdf

2- Using Artificial Intelligence (AI) or Machine Learning to improve reliability and safety models (Please check the attached figure).

E.g. Article Safety + AI: A Novel Approach to Update Safety Models Using ...

3- Reliability and safety assessment of Cyber-Physical Systems.

4- Reliability and safety measure of Open Adaptive System in which system dynamics will change during the operation.