Weighted Regression-Based Extremum Response Surface Method for Structural Dynamic Fuzzy Reliability Analysis

Cheng Jiang Lu · Yunwen Feng · Cheng‐Wei Fei

22 citations0/0 files storedEnergies

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Probabilistic and Robust Engineering Design Reliability and Maintenance Optimization Fuzzy Systems and Optimization

Abstract

The parameters considered in structural dynamic reliability analysis have strong uncertainties during machinery operation, and affect analytical precision and efficiency. To improve structural dynamic fuzzy reliability analysis, we propose the weighted regression-based extremum response surface method (WR-ERSM) based on extremum response surface method (ERSM) and weighted regression (WR), by considering the randomness of design parameters and the fuzziness of the safety criterion. Therein, we utilize the ERSM to process the transient to improve computational efficiency, by transforming the random process of structural output response into a random variable. We employ the WR to find the efficient samples with larger weights to improve the calculative accuracy. The fuzziness of the safety criterion is regarded to improve computational precision in the WR-ERSM. The WR-ERSM is applied to perform the dynamic fuzzy reliability analysis of an aeroengine turbine blisk with the fluid-structure coupling technique, and is verified by the comparison of the Monte Carlo (MC) method, equivalent stochastic transformation method (ESTM) and ERSM, with the emphasis on model-fitting property and simulation performance. As revealed from this investigation, (1) the ERSM has the capacity of processing the transient of the structural dynamic reliability evaluation, and (2) the WR approach is able to improve modeling accuracy, and (3) regarding the fuzzy safety criterion is promising to improve the precision of structural dynamic fuzzy reliability evaluation, and (4) the change rule of turbine blisk structural stress from start to cruise for the aircraft is acquired with the maximum value of structural stress at t = 165 s and the reliability degree (Pr = 0.997) of turbine blisk. The proposed WR-ERSM can improve the efficiency and precision of structural dynamic reliability analysis. Therefore, the efforts of this study provide a promising method for structural dynamic reliability evaluation with respect to working processes.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 22 citations exist upstream.

References

2004Application of kriging method to structural reliability problems 2004A response surface method based on weighted regression for structural reliability analysis 2017A new direct second-order reliability analysis method 2011An improvement of the response surface method 2005Response surface augmented moment method for efficient reliability analysis 2010A Second-Order Reliability Method With First-Order Efficiency 2012Extremum response surface method of reliability analysis on two-link flexible robot manipulator 2006Probabilistic transient thermal analysis of an atmospheric reentry vehicle structure

Cited by

2022A novel response surface method for structural reliability 2024Dynamic precision reliability of the aircraft landing gear retraction mechanism under coupled extreme working conditions 2021Dynamical relaxed directional method for fuzzy reliability analysis 2020The Impact of Self-Efficacy Analysis-Based Psychological Theory and Literary Ethics on Chinese American Entrepreneurship Education

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.