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Mengyu Chai

Xi'an Jiaotong University

H指数:14

被引数:782

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Uncertainty quantification and decomposition in creep rupture life prediction of chromium-molybdenum (CrMo) ferritic steels

铬钼（CrMo）铁素体钢蠕变断裂寿命预测中的不确定性量化与分解

International Journal of Pressure Vessels and Piping

IF3.5

2026-10-060

PRE

Comparison of Performances of Machine Learning and Deep Learning Models for Prediction of Creep Rupture Life

机器学习与深度学习模型在蠕变断裂寿命预测性能的比较

IF2.5

2026-07-150

OA

Machine learning-based denoising of acoustic emission signals for fatigue crack growth monitoring in metallic piping materials

基于机器学习的声发射信号去噪在金属管道材料疲劳裂纹扩展监测中的应用

IF5.6

2026-07-142

PRE

Tensile damage identification of high-strength CrMoV steel based on acoustic emission and machine learning

Construction and Building Materials

IF8

2026-02-050

PRE

Linking acoustic emission signatures to the initiation and growth of small fatigue cracks in CrMoV steel

将声发射信号与CrMoV钢中小疲劳裂纹的萌生和扩展相联系

Materials Letters

IF2.7

2025-12-080

PRE

Machine Learning Approaches for Creep Rupture Life Prediction of Metallic Materials: A Comprehensive Review

金属材料蠕变断裂寿命预测的机器学习方法：一项综合评述

International Journal of Pressure Vessels and Piping

IF3.5

2025-10-220

PRE

Assessing tensile damage in pressure vessel steels with varying ductility using multi-feature fusion of acoustic emission signals

评估不同延展性压力容器钢的拉伸损伤，采用声发射信号的多特征融合方法

Nondestructive Testing and Evaluation

IF4.2

2025-09-180

PRE

Predicting creep life of CrMo pressure vessel steel using machine learning models with optimal feature subset selection

INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

IF3.5

2024-12-010

PRE

In situ monitoring of high-temperature creep damage in CrMoV high-strength structural steel using acoustic emission

CrMoV高强度结构钢高温蠕变损伤声发射原位监测

CONSTRUCTION AND BUILDING MATERIALS

IF8

2024-10-013

PRE

A developed convolutional neural network model for accurately and stably predicting effective thermal conductivity of gradient porous ceramic materials

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

IF5.8

2024-06-013

PRE

Determination of fracture toughness of 2.25Cr1Mo0.25V steel based on acoustic emission technique

INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

IF3.5

2023-10-015

PRE

Machine learning-based approach for fatigue crack growth prediction using acoustic emission technique

FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

IF3.2

2023-05-0417

PRE

Coupling effect of hydrogen and strain rate on 2.25Cr1Mo0.25V steel deformed over wide strain rate ranges

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

IF8.3

2023-01-013

PRE

Characterization of Fatigue Crack Growth Based on Acoustic Emission Multi-Parameter Analysis

IF3.2

2022-09-2614

OAAI

Mesonephric-Like Adenocarcinoma of Uterine Corpus: A Clinicopathological and Targeted Genomic Profiling Study in a Single Institution

FRONTIERS IN ONCOLOGY

IF3.3

2022-07-059

OAAI

Identification and prediction of fatigue crack growth under different stress ratios using acoustic emission data

INTERNATIONAL JOURNAL OF FATIGUE

IF6.8

2022-07-0169

PRE

Creep rupture behavior of 2.25Cr1Mo0.25V steel and weld for hydrogenation reactors under different stress levels

REVIEWS ON ADVANCED MATERIALS SCIENCE

IF3.9

2022-06-028

OA

High-Temperature Tensile and Creep Behavior in a CrMoV Steel and Weld Metal

IF3.2

2021-12-247

OAAI

Swin-UNet plus plus : A Nested Swin Transformer Architecture for Location Identification and Morphology Segmentation of Dimples on 2.25Cr1Mo0.25V Fractured Surface

IF3.2

2021-12-0721

OAAI

Experimental Investigation of Fatigue Crack Growth Behavior of the 2.25Cr1Mo0.25V Steel Welded Joint Used in Hydrogenation Reactors

IF3.2

2021-03-019

OAAI