Reliability Analysis of Complex Structures Under Multi-Failure Mode Utilizing an Adaptive AdaBoost Algorithm

Reliability Analysis of Complex Structures Under Multi-Failure Mode Utilizing an Adaptive AdaBoost Algorithm

A reliability analysis can become intricate when addressing issues related to nonlinear implicit models of complex structures. To improve the accuracy and efficiency of such reliability analyses, this paper presents a surrogate model based on an adaptive AdaBoost algorithm. This model employs an ada...

Full description

Saved in:

Bibliographic Details
Main Authors:	Feng Zhang, Zijie Qiao, Yuxiang Tian, Mingying Wu, Xiayu Xu
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Applied Sciences
Subjects:	AdaBoost algorithm adaptive iteration complex structure multiple-failure mode failure probability
Online Access:	https://www.mdpi.com/2076-3417/14/22/10098
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Text steganalysis using AdaBoost
by: SUI Xin-guang, et al.
Published: (2007-01-01)

AdaBoost algorithm based on fitted weak classifier
by: Pengfeng SONG, et al.
Published: (2019-11-01)

Optimizing Performance of AdaBoost Algorithm through Undersampling and Hyperparameter Tuning on CICIoT 2023 Dataset
by: Sahrul Fahrezi Fahrezi, et al.
Published: (2024-11-01)

Modified link prediction algorithm based on AdaBoost
by: Zu-feng WU, et al.
Published: (2014-03-01)

AdaBoost algorithm based on target perturbation
by: Shufen ZHANG, et al.
Published: (2023-02-01)

A Novel Approach for Model Interpretability and Domain Aware Fine-Tuning in AdaBoost
by: Raj Joseph Kiran, et al.
Published: (2024-09-01)

Study on AdaBoost-based link quality prediction mechanism
by: Jian SHU, et al.
Published: (2017-10-01)

UAV data link anti-interference via SLHS-SVM-AdaBoost algorithm: Classification prediction and route planning
by: Shuo Zeng, et al.
Published: (2024-12-01)

An innovative combination of extra trees within adaboost for accurate prediction of agricultural water quality indices
by: Mahmood Yousefi, et al.
Published: (2024-12-01)

Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification
by: Safet Purkovic, et al.
Published: (2024-12-01)

An efficient computational investigation on accurate daily soil temperature prediction using boosting ensemble methods explanation based on SHAP importance analysis
by: Meysam Alizamir, et al.
Published: (2024-12-01)

Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation
by: Muteb Alanazi, et al.
Published: (2025-02-01)

Robust diabetic prediction using ensemble machine learning models with synthetic minority over-sampling technique
by: Pradeepa Sampath, et al.
Published: (2024-11-01)

Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete
by: Maryam Bypour, et al.
Published: (2025-03-01)

Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach
by: Illia Mushta, et al.
Published: (2024-12-01)

A Pseudo-Labeling Multi-Screening-Based Semi-Supervised Learning Method for Few-Shot Fault Diagnosis
by: Shiya Liu, et al.
Published: (2024-10-01)

Evaluating the Impact of Recursive Feature Elimination on Machine Learning Models for Predicting Forest Fire-Prone Zones
by: Ali Rezaei Barzani, et al.
Published: (2024-11-01)

Non-Destructive Prediction of Rosmarinic Acid Content in Basil Plants Using a Portable Hyperspectral Imaging System and Ensemble Learning Algorithms
by: Hyo In Yoon, et al.
Published: (2024-10-01)

Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association
by: Zhenxin He, et al.
Published: (2024-11-01)

AdaBoost model for rockburst intensity prediction considering class differences and quantitative characterization of misclassification difference
by: Yunzhen Zhang, et al.
Published: (2024-11-01)

Analysis and Selection of Multiple Machine Learning Methodologies in PyCaret for Monthly Electricity Consumption Demand Forecasting
by: José Orlando Quintana Quispe, et al.
Published: (2024-08-01)

Predicting tensile and fracture parameters in polypropylene-based nanocomposites using machine learning with sensitivity analysis and feature impact evaluation
by: Pouya Rajaee, et al.
Published: (2024-10-01)

Balanced Multi-Class Network Intrusion Detection Using Machine Learning
by: Faraz Ahmad Khan, et al.
Published: (2024-01-01)

Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning
by: Meiyue Shen, et al.
Published: (2025-01-01)

Personal Identification Using Embedded Raspberry Pi-Based Face Recognition Systems
by: Sebastian Pecolt, et al.
Published: (2025-01-01)

Experimental comparison and optimal machine learning technique for predicting the thermo-hydraulic performance of Low-GWP refrigerants (R1234yf, R290, and R13I1/R290) during evaporation in plate heat exchanger
by: Rajendran Prabakaran, et al.
Published: (2024-12-01)

A novel neural network model with cascaded structure for state-of-charge estimation in lithium-ion batteries
by: Chunsheng Wang, et al.
Published: (2024-01-01)

Water Pipeline Leak Detection and Localization With an Integrated AI Technique
by: Uma Rajasekaran, et al.
Published: (2025-01-01)

Reliability of C-ADAS and the importance of the acceleration function for cycling safety
by: Marek Junghans, et al.
Published: (2024-12-01)

Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks
by: Rezty Amalia Aras, et al.
Published: (2023-06-01)

Deficiency of ADA2 (DADA2)
by: Hülya Köse, et al.
Published: (2024-08-01)

WiFi Fingerprint Indoor Localization Employing Adaboost and Probability-One Access Point Selection for Multi-Floor Campus Buildings
by: Shanyu Jin, et al.
Published: (2024-12-01)

Study of Reliability for Main Components and Devices of Die-Cutting Presses for Packaging
by: N. S. Kohnenko, et al.
Published: (2020-08-01)

STUDY ON FAILURE MODE AND COUNTERMEASURES OF SHEARER PICKS
by: ZHAO LiJuan, et al.
Published: (2017-01-01)

Reliability assessment of the behavior of reinforced and/or prestressed concrete beams sections in shear failure
by: Karim Benyahi, et al.
Published: (2021-07-01)

Reliability assessment of the behavior of reinforced and/or prestressed concrete beams sections in shear failure
by: Karim Benyahi, et al.
Published: (2021-06-01)

Time Effort Prediction Of Agile Software Development Using Machine Learning Techniques
by: Muchamad Bachram Shidiq, et al.
Published: (2023-12-01)

Reliability Assessment of an Improved Single‐Input Switched‐Capacitor Boost 7/9‐Level Inverter Suitable for Renewable Energies
by: Armin Ghelichi, et al.
Published: (2025-01-01)

Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method
by: Rencheng Fang, et al.
Published: (2025-01-01)

Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations
by: Younghyun Lee, et al.
Published: (2013-01-01)