以第一/通讯作者发表SCI论文50余篇，大部分发表于领域国际顶级期刊，谷歌学术引用次数1700余次，H因子22，i10指数41。在装备可靠性工程、机器学习算法、不确定性量化等方向提出了原创学术思想和方法，学术研究上深受贝叶斯学派思想影响，擅长采用贝叶斯数值方法解决各类工程计算和仿真难题，特别是装备发展中的可靠性和寿命难题，在航空发动机燃油控制系统性能和可靠性一体化仿真、试验、设计方面具有一定研究积累。

部分已发表论文如下：

2023

Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertainties

F Hong, P Wei, J Song, MA Valdebenito, MGR Faes, M Beer

Computer Methods in Applied Mechanics and Engineering 417, 116410

Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis

J Song, Y Cui, P Wei, MA Valdebenito, W Zhang

Reliability Engineering & System Safety, 109613

Structural reliability analysis by line sampling: A Bayesian active learning treatment

C Dang, MA Valdebenito, MGR Faes, J Song, P Wei, M Beer

Structural Safety 104, 102351

Combining Bayesian active learning and conditional Gaussian process simulation for propagating mixed uncertainties through expensive computer simulators

J Fu, F Hong, P Wei, Z Guo, Y Xu, W Gao

Aerospace Science and Technology 139, 108363

Estimation of small failure probabilities by partially Bayesian active learning line sampling: Theory and algorithm

C Dang, MA Valdebenito, J Song, P Wei, M Beer

Computer Methods in Applied Mechanics and Engineering 412, 116068

Combining data and physical models for probabilistic analysis: A Bayesian Augmented Space Learning perspective

F Hong, P Wei, J Song, MGR Faes, MA Valdebenito, M Beer

Probabilistic Engineering Mechanics, 103474

A new reliability method combining adaptive Kriging and active variance reduction using multiple importance sampling

A Persoons, P Wei, M Broggi, M Beer

Structural and Multidisciplinary Optimization 66 (6), 144

A new acquisition function combined with subset simulation for active learning of small and time-dependent failure probability

F Hong, P Wei, J Fu, Y Xu, W Gao

Structural and Multidisciplinary Optimization 66 (4), 72

An expected integrated error reduction function for accelerating Bayesian active learning of failure probability

P Wei, Y Zheng, J Fu, Y Xu, W Gao

Reliability Engineering & System Safety 231, 108971

A feature mapping strategy of metamodelling for nonlinear stochastic dynamical systems with low to high-dimensional input uncertainties

Z Wan, J Chen, W Tao, P Wei, M Beer, Z Jiang

Mechanical Systems and Signal Processing 184, 109656

2022

Structural reliability analysis: A Bayesian perspective

C Dang, MA Valdebenito, MGR Faes, P Wei, M Beer

Structural Safety 99, 102259

Bayesian probabilistic propagation of hybrid uncertainties: Estimation of response expectation function, its variable importance and bounds

C Dang, P Wei, MGR Faes, M Beer

Computers & Structures 270, 106860

Parallel adaptive Bayesian quadrature for rare event estimation

C Dang, P Wei, MGR Faes, MA Valdebenito, M Beer

Reliability Engineering & System Safety 225, 108621

A distributionally robust approach for mixed aleatory and epistemic uncertainties propagation

M Kitahara, J Song, P Wei, M Broggi, M Beer

AIAA Journal 60 (7), 4471-4477

Interval uncertainty propagation by a parallel Bayesian global optimization method

C Dang, P Wei*, MGR Faes, MA Valdebenito, M Beer

Applied Mathematical Modelling 108, 220-235

Application of an improved sequential importance sampling for structural reliability analysis of aeronautical hydraulic pipeline with multiple stochastic responses

F Liu, P Wei, P He, Y Dai

Structural and Multidisciplinary Optimization 65 (2), 1-14

Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration

J Song, P Wei, MA Valdebenito, M Faes, M Beer

Mechanical Systems and Signal Processing 163, 108106

2021

Efficient reliability analysis of complex systems in consideration of imprecision.

J Salomon*, N Winnewisser, P Wei*, M Broggi, M Beer

Reliability Engineering and System Safety, in press

Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty

P Wei*, F Liu, M Valdebenito, M Beer

Mechanical Systems and Signal Processing 149, 107219

Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning–Augmented Probabilistic Integration

C Dang, P Wei*, J Song, M Beer

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(4):04021054

Active learning line sampling for rare event analysis

J Song, P Wei*, M Valdebenito, M Beer

Mechanical Systems and Signal Processing 147, 107113

Failure probability estimation of a class of series systems by multidomain Line Sampling

MA Valdebenito, P Wei, J Song, M Beer, M Broggi

Reliability Engineering & System Safety 213, 107673

Bounds optimization of model response moments: a twin-engine Bayesian active learning method

P Wei*, F Hong, KK Phoon, M Beer

Computational Mechanics 67 (5), 1273-1292

Application of a Reduced Order Model for Fuzzy Analysis of Linear Static Systems

MA Valdebenito, HA Jensen, P Wei, M Beer, AT Beck

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems,  Part B: Mechanical Engineering, 7(2): 020904

Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics

MGR Faes, MA Valdebenito, X Yuan, P Wei, M Beer

Advances in Engineering Software 155, 102993

An approach to evaluation of EVD and small failure probabilities of uncertain nonlinear structures under stochastic seismic excitations

C Dang, P Wei*, M Beer

Mechanical Systems and Signal Processing 152, 107468

2020

Adaptive Experiment Design for Probabilistic Integration

P Wei*, X Zhang, M Beer

Computer Methods in Applied Mechanics and Engineering, 366, 113035

Non-intrusive imprecise stochastic simulation by line sampling

J Song, M Valdebenito, P Wei*, M Beer, Z Lu

Structural Safety 84, 101936

Reliability and reliability sensitivity analysis of structure by combining adaptive linked importance sampling and Kriging reliability method

F Liu, P Wei*, C Zhou, Z Yue

Chinese Journal of Aeronautics

Fuzzy failure probability estimation applying intervening variables

MA Valdebenito, M Beer, HA Jensen, J Chen, P Wei

Structural Safety 83, 101909

2019:

Generalization of non-intrusive imprecise stochastic simulation for mixed uncertain variables

J Song, P Wei*, M Valdebenito, S Bi, M Broggi, M Beer, Z Lei

Mechanical Systems and Signal Processing 134, 106316

 Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation

P Wei*, J Song*, S Bi, M Broggi, M Beer, Z Lu, Z Yue

Mechanical Systems and Signal Processing 124, 349-368

Non-intrusive stochastic analysis with parameterized imprecise probability models: II. reliability and rare events analysis

P Wei*, J Song*, S Bi, M Broggi, M Beer, Z Lu, Z Yue

Mechanical Systems and Signal Processing 126, 227-247

Fuchao Liu, Pengfei Wei*, Chenghu Tang, Pan Wang, Zhufeng Yue

Reliability Engineering and System Safety, In Press, available at: https://www.sciencedirect.com/science/article/pii/S0951832017304945 

Structural reliability and reliability sensitivity analysis of extremely rare failure events by combining sampling and surrogate model methods

Pengfei Wei* , Chenghu Tang and Yuting Yang

Journal of Risk and Reliability, in press, DOI: 10.1177/1748006X19844666

The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis

S Bi, M Broggi, P Wei, M Beer

Mechanical Systems and Signal Processing 129, 265-281

2018:

魏鹏飞*, 吕震宙, 宋静文. 不确定性量化及敏感性分析研究进展. 发表于：李杰, 陈建兵, 彭永波. 随机振动理论与应用新进展(第Ⅱ辑). 上海：同济大学出版社, 2018

A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models

P Wei*, F Liu, Z Lu, Z Wang

International Journal of Approximate Reasoning 

Reliability and reliability-based importance analysis of structural systems using multiple response Gaussian process model

P Wei*, F Liu, C Tang

Reliability Engineering & System Safety 175, 183-195 

2017:

Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processes

P Wei*, Y Wang, C Tang

Structural and Multidisciplinary Optimization 55 (5), 1883-1898 

 Extending first-passage method to reliability sensitivity analysis of motion mechanisms

W Wang, H Gao, P Wei, C Zhou

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of … 

2016:

Time-dependent reliability sensitivity analysis of motion mechanisms

P Wei*, J Song, Z Lu, Z Yue

Reliability Engineering & System Safety 149, 107-120 

Parametric Reliability Sensitivity Analysis Using Failure Probability Ratio Function

P Wei*, Z Lu

International Journal of Computational Methods 13 (04), 1641005 

Global reliability sensitivity analysis of motion mechanisms

P Wei*, J Song, Z Lu

Journal of Risk and Reliability  230(3), 265-277

2015:

Variable importance analysis: A comprehensive review

P Wei, Z Lu, J Song

Reliability Engineering & System Safety 142, 399-432 

Regional and parametric sensitivity analysis of Sobol？ indices

P Wei, Z Lu, J Song

Reliability Engineering & System Safety 137, 87-100 

A comprehensive comparison of two variable importance analysis techniques in high dimensions: Application to an environmental multi-indicators system

P Wei, Z Lu, J Song

Environmental Modelling & Software 70, 178-190 

2014:

Moment‐Independent Sensitivity Analysis Using Copula

P Wei, Z Lu, J Song

Risk Analysis 34 (2), 210-222 

Uncertainty Importance Analysis Using Parametric Moment Ratio Functions

P Wei, Z Lu, J Song

Risk Analysis 34 (2), 223-234 

Regional sensitivity analysis using revised mean and variance ratio functions

P Wei, Z Lu, W Ruan, J Song

Reliability Engineering & System Safety 121, 121-135 

Extended Monte Carlo simulation for parametric global sensitivity analysis and optimization

P Wei, Z Lu, J Song

AIAA Journal 52 (4), 867-878 

2013:

A new variance-based global sensitivity analysis technique

P Wei, Z Lu, J Song

Computer Physics Communications 184 (11), 2540-2551 

Moment-independent regional sensitivity analysis: Application to an environmental model

P Wei, Z Lu, D Wu, C Zhou

Environmental Modelling & Software 47, 55-63 

Monte Carlo simulation for moment-independent sensitivity analysis

P Wei, Z Lu, X Yuan

Reliability Engineering & System Safety 110, 60-67 

Reliability analysis of structural system with multiple failure modes and mixed uncertain input variables

P Wei, Z Lu, B Ren

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science  227, 1441-1453

Addition laws of failure probability and their applications in reliability analysis of structural system with multiple failure modes

P Wei, Z Lu, L Tian

Proceedings of the Institution of Mechanical Engineers, Part C:  Journal of Mechanical Engineering Science  227, 120-136

2012：

Efficient sampling methods for global reliability sensitivity analysis

P Wei, Z Lu, W Hao, J Feng, B Wang

Computer Physics Communications 183 (8), 1728-1743 

New Linear Programming-Based Bound Method for Structural System Reliability

P Wei, Z Lu, L Tian

Journal of Aircraft 49 (2), 664-670 

2011:

Importance measure analysis in the presence of epistemic and aleatory uncertainties

P Wei, Z Liu, W Hao

Journal of Aircraft 48 (5), 1733-1740