☆ 4.6 Article

A Deep Learning-Based Approach for the Identification of a Multi-Parameter BWBN Model

APPLIED SCIENCES-BASEL (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Materials Science, Multidisciplinary

Dynamic response analysis of Euler-Bernoulli beam on spatially random transversely isotropic viscoelastic soil

Zele Li et al.

Summary: A novel dynamic soil-structure interaction model is developed for analyzing the behavior of Euler-Bernoulli beam on a spatially random transversely isotropic viscoelastic foundation subjected to moving and oscillating loads. The model utilizes the extended Hamilton's principle to establish the dynamic equilibrium equation of the beam-soil system. The resulting partial differential equations are discretized and solved using the finite difference method. The model demonstrates accuracy and efficiency in predicting the displacement response of the beam-soil system.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS (2022)

添加到收藏夹

Article Materials Science, Multidisciplinary

Dynamic analysis of soil-structure interaction shear model for beams on transversely isotropic viscoelastic soil

Zele Li et al.

Summary: This study investigates the dynamic response problem of the Timoshenko shear beam resting on a transversely isotropic viscoelastic foundation and subjected to a moving load. The results show that the developed shear model of the beam-soil system is accurate and effective.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS (2022)

添加到收藏夹

Article Materials Science, Multidisciplinary

Simultaneous effect of temperature, shrinkage, and self-weight creep on RC beams: A case study

Seyed Bahram Beheshti Aval et al.

Summary: This study presents the long-term field measurement results of two RC beams under the simultaneous effect of medium to high temperature, shrinkage, and self-weight creep. The results show that temperature and mechanical temperature increase can lead to an increase in beam deflection. Additionally, the field measurements demonstrate the significant impact of these factors on the beams.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS (2022)

添加到收藏夹

Article Materials Science, Multidisciplinary

Reliability of reinforced concrete beams in serviceability limit state via microprestress-solidification theory, a structural health monitoring strategy

Mohsen Ghabdian et al.

Summary: This paper investigates the impact of creep, shrinkage, and high temperature on the reliability and serviceability of structures. By extending the microprestress-solidification creep theory and using a nanoscale method for reliability analysis, it is found that the reliability of reinforced concrete beams is influenced by shear span-to-depth ratio, temperature, and load level.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS (2022)

添加到收藏夹

Article Chemistry, Analytical

Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification

Pooya Mohebian et al.

Summary: This study proposes a new optimization algorithm called visible particle series search (VPSS) for identifying structural damage. By mapping candidate solutions into a visibility graph network, the algorithm utilizes information from visible particles to search for the optimum solution. Numerical simulations demonstrate the high accuracy, reliability, and computational efficiency of the VPSS algorithm in identifying the location and extent of structural damage.

SENSORS (2022)

添加到收藏夹

Article Chemistry, Multidisciplinary

Structural Assessment under Uncertain Parameters via the Interval Optimization Method Using the Slime Mold Algorithm

Ramin Ghiasi et al.

Summary: In this study, a non-probabilistic structural damage identification technique based on an optimization algorithm and interval mathematics is proposed for uncertainty-oriented damage identification. The method takes into account uncertainty quantification and provides support for structural health diagnosis under uncertain conditions. The technique is implemented using the slime mold algorithm (SMA) for model updating and an enhanced variant of SMA (ESMA) is developed. Results show that the proposed method reduces computation time and improves the certainty of damage detection.

APPLIED SCIENCES-BASEL (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study

Ahmed Silik et al.

Summary: This study proposes a new framework for choosing an appropriate wavelet for massive nonstationary data analysis, disturbances separation, and extraction of informative features associated with damage. The method takes into consideration various criteria and introduces new measures to evaluate the capabilities of base wavelets for decomposition and reconstruction of structural dynamic responses. Experimental and simulated data verification shows that small order Daubechies and Symlet wavelets, especially order 3, provide the best results for base wavelet selection. The proposed framework can be applied to other structural applications.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A new non-adaptive optimization method: Stochastic gradient descent with momentum and difference

Wei Yuan et al.

Summary: The article introduces the application of adaptive and non-adaptive optimization methods in deep learning, proposes a new non-adaptive method SGD(MD) based on the idea of difference, and experimental results show that in some cases it is even better than popular adaptive optimization methods.

APPLIED INTELLIGENCE (2022)

添加到收藏夹

Article Chemistry, Analytical

Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network

Tianyu Wang et al.

Summary: A deep Bayesian convolutional neural network is proposed in this paper for predicting seismic response. The proposed method shows high accuracy in predicting acceleration and displacement responses. The influence of random parameters and the robustness of the model are also discussed.

SENSORS (2022)

添加到收藏夹

Review Materials Science, Composites

The Damage Identification in Laminated Composite Plate under Fatigue Load through Wavelet Packet Energy Curvature Difference Method

Wael A. Altabey

Summary: In this study, a damage identification framework for Basalt Fiber Reinforced Polymer (BFRP) composite plate systems is proposed using the wavelet packet energy curvature difference (WPECD) method. By combining finite element modeling and accumulative damage modeling, the proposed method can effectively identify different types of damage.

COMPOSITES PART C: OPEN ACCESS (2022)

添加到收藏夹

Review Green & Sustainable Science & Technology

Damage detection of wind turbine system based on signal processing approach: a critical review

Roshan Kumar et al.

Summary: This paper provides a comprehensive literature review on damage detection methods for wind turbine systems, covering various signal processing techniques and machine learning approaches. The merits and shortcomings of each method in detecting different types of damage with varied complexity levels are discussed. The aim is to inform readers and experts about advanced signal processing methods for fault diagnosis in wind turbine systems.

CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

Uncertainty Handling in Structural Damage Detection via Non-Probabilistic Meta-Models and Interval Mathematics, a Data-Analytics Approach

Ramin Ghiasi et al.

Summary: This paper proposes a novel approach using a non-probabilistic surrogate model based on WWLS-SVM for uncertainty in vibration-based damage detection. The method calculates changes in Young's modulus based on an interval analysis method, providing interval-bound output predictions considering uncertainties in input parameters. Results show superior performance compared to direct finite element models in uncertainty-based damage detection with less computational effort.

APPLIED SCIENCES-BASEL (2021)

添加到收藏夹

Article Engineering, Biomedical

Applying deep learning and wavelet transform for predicting the vibration behavior in variable thickness skew composite plates with intermediate elastic support

Wael A. Altabey

Summary: The paper extracts vibration behavior features from skew composite plates using a combination of Wavelet Transform and Finite Strip Transition Matrix, then designs a new deep neural network to learn and test these features. The results suggest that deep learning is a promising method for dealing with complex structures and variable environments.

JOURNAL OF VIBROENGINEERING (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

A Novel MRE Adaptive Seismic Isolator Using Curvelet Transform Identification

Wael A. Altabey et al.

Summary: Magnetorheological elastomeric (MRE) materials are capable of adaptively changing their rheological properties in response to external magnetic fields, achieved through various development schemes such as incorporating functionalized multiwall carbon nanotubes (MWCNTs). Analyzing and modifying mathematical models of MRE materials can lead to potential applications in seismic isolation, with the use of smart materials enhancing the performance compared to traditional isolation devices. The adaptive control algorithm presented in this research demonstrates the ability to transiently suppress and protect structures against non-stationary disturbances in real time, showcasing promising opportunities for optimal and adaptive structural performance.

APPLIED SCIENCES-BASEL (2021)

添加到收藏夹

Article Engineering, Civil

Reaching law based sliding mode control for a frame structure under seismic load

Ying Zhao et al.

Summary: Efficient vibration control schemes for seismically excited structures are crucial. This study examined the influence of different control schemes on the dynamic performance of a frame structure, finding that the sliding mode strategy can effectively control the structure when the damage extent does not exceed 20%. Additionally, control effectiveness is improved when the control location aligns with the direction of external excitation.

EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION (2021)

添加到收藏夹

Article Materials Science, Multidisciplinary

A multi-objective optimization algorithm for Bouc-Wen-Baber-Noori model to identify reinforced concrete columns failing in different modes

Zele Li et al.

Summary: A multi-objective optimization algorithm NSGA-II is employed in this paper to identify the parameters of the Bouc-Wen-Baber-Noori hysteresis model in order to describe the restoring force characteristics of reinforced concrete columns under different failure modes. Sensitivity analysis and parameter distribution patterns are used to propose reference parameter values for different failure modes.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS (2021)

添加到收藏夹

Article Construction & Building Technology

Selecting optimum levels of wavelet multi-resolution analysis for time-varying signals in structural health monitoring

Ahmed Silik et al.

Summary: The study proposed a new framework for selecting the optimal decomposition level (DL) to ensure effective wavelet analysis of time-varying structural responses. Experimental results demonstrated that the optimal DL for El Centro earthquake was 4, and for acceleration data was 6, showcasing the stability and robustness of the proposed method in analyzing contaminated time-varying signals.

STRUCTURAL CONTROL & HEALTH MONITORING (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

Deep Learning-Based Crack Identification for Steel Pipelines by Extracting Features from 3D Shadow Modeling

Wael A. Altabey et al.

Summary: The study presents a method for automatic crack identification using deep learning algorithm and 3D shadow modeling technology, which effectively diagnoses corrosion cracks in pipelines with high accuracy and efficiency.

APPLIED SCIENCES-BASEL (2021)

添加到收藏夹

Article Materials Science, Multidisciplinary

Identification of cracks in an Euler-Bernoulli beam using Bayesian inference and closed-form solution of vibration modes

Tianyu Wang et al.

Summary: This paper presents a novel method for crack detection in Euler-Bernoulli beams based on Bayesian inference using closed-form solution of mode shapes. The expression of vibration modes is derived analytically with the crack parameters as unknown variables. Bayesian inference is utilized to obtain the probability density function of crack parameters and validate the effectiveness of the method through numerical examples.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS (2021)

添加到收藏夹

Review Medicine, General & Internal

Machine Learning in Medicine

Alvin Rajkomar et al.

NEW ENGLAND JOURNAL OF MEDICINE (2019)

添加到收藏夹

Article Construction & Building Technology

A Comparison of Three Different Methods for the Identification of Hysterically Degrading Structures Using BWBN Model

Ying Zhao et al.

FRONTIERS IN BUILT ENVIRONMENT (2019)

添加到收藏夹

Article Chemistry, Multidisciplinary

Deep Learning-Based Damage, Load and Support Identification for a Composite Pipeline by Extracting Modal Macro Strains from Dynamic Excitations

Ying Zhao et al.

APPLIED SCIENCES-BASEL (2018)

添加到收藏夹

Article Engineering, Multidisciplinary

A modified wavelet energy rate-based damage identification method for steel bridges

M. Noori et al.

SCIENTIA IRANICA (2018)

添加到收藏夹

Article Engineering, Civil

Beam-Column Joint Model for Nonlinear Analysis of Non-Seismically Detailed Reinforced Concrete Frame

Chao-Lie Ning et al.

JOURNAL OF EARTHQUAKE ENGINEERING (2016)

添加到收藏夹

Article Construction & Building Technology

Hysteretic Model for Shear-Critical Reinforced Concrete Columns

Bo Yu et al.

JOURNAL OF STRUCTURAL ENGINEERING (2016)

添加到收藏夹

Article Construction & Building Technology

Hysteretic Model for Shear-Critical Reinforced Concrete Columns

Bo Yu et al.

JOURNAL OF STRUCTURAL ENGINEERING (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Identification of Bouc-Wen type models using the Transitional Markov Chain Monte Carlo method

Gilberto A. Ortiz et al.

COMPUTERS & STRUCTURES (2015)

添加到收藏夹

Article Engineering, Electrical & Electronic

Bouc-Wen Hysteresis Model Identification by the Metric-Topological Evolutionary Optimization

Antonino Laudani et al.

IEEE TRANSACTIONS ON MAGNETICS (2014)

添加到收藏夹

Article Construction & Building Technology

Enhanced Smooth Hysteretic Model with Degrading Properties

Tathagata Ray et al.

JOURNAL OF STRUCTURAL ENGINEERING (2014)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Identification of Bouc-Wen type models using multi-objective optimization algorithms

Gilberto A. Ortiz et al.

COMPUTERS & STRUCTURES (2013)

添加到收藏夹

Article Engineering, Civil

Modelling hysteretic behaviour of cold-formed steel wall panels

M. Nithyadharan et al.

ENGINEERING STRUCTURES (2013)

添加到收藏夹

Article Engineering, Civil

Modified Bouc-Wen model for hysteresis behavior of RC beam-column joints with limited transverse reinforcement

Piyali Sengupta et al.

ENGINEERING STRUCTURES (2013)

添加到收藏夹

Article Chemistry, Multidisciplinary

Identification of the Bouc-Wen Hysteresis Model for Piezoelectric Actuated Micro/Nano Electromechanical System

Long Ma et al.

JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE (2013)

添加到收藏夹

Article Construction & Building Technology

Stress-Strain Law for Confined Concrete with Hardening or Softening Behavior

Piero Colajanni et al.

ADVANCES IN CIVIL ENGINEERING (2013)

添加到收藏夹

Article Engineering, Mechanical

Parameter identification of Bouc-Wen model for MR fluid dampers using adaptive charged system search optimization

S. Talatahari et al.

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2012)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

OpenSees: A Framework for Earthquake Engineering Simulation

Frank McKenna

COMPUTING IN SCIENCE & ENGINEERING (2011)

添加到收藏夹

Article Engineering, Civil

Rapid repair of severely earthquake-damaged bridge piers with flexural-shear failure mode

Sun Zhiguo et al.

EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION (2011)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

The Hysteresis Bouc-Wen Model, a Survey

Mohammed Ismail et al.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2009)

添加到收藏夹

Article Engineering, Civil

Refinement of a Design-Oriented Stress-Strain Model for FRP-Confined Concrete

J. G. Teng et al.

JOURNAL OF COMPOSITES FOR CONSTRUCTION (2009)

添加到收藏夹

Article Engineering, Civil

Probabilistic Characteristics of Seismic Ductility Demand of SDOF Systems with Bouc-Wen Hysteretic Behavior

K. Goda et al.

JOURNAL OF EARTHQUAKE ENGINEERING (2009)

添加到收藏夹

Article Construction & Building Technology

Evaluation, calibration, and verification of a reinforced concrete beam-column joint model

Nilanjan Mitra et al.

JOURNAL OF STRUCTURAL ENGINEERING-ASCE (2007)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.