ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering最新文献_第4页

Fragility Analysis and Resilience Assessment of the Single-Column Pier Steel-Concrete Composite Bridge Subjected to Seismic Loads 承受地震荷载的单柱墩钢-混凝土组合桥的脆性分析和复原力评估

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering Pub Date : 2024-02-03 DOI: 10.1115/1.4064647

Tong Wang, Q. Gao, Yidian Dong, Hao Xu, Yang Liu

{"title":"Fragility Analysis and Resilience Assessment of the Single-Column Pier Steel-Concrete Composite Bridge Subjected to Seismic Loads","authors":"Tong Wang, Q. Gao, Yidian Dong, Hao Xu, Yang Liu","doi":"10.1115/1.4064647","DOIUrl":"https://doi.org/10.1115/1.4064647","url":null,"abstract":"\u0000 With the advantages of a small footprint, wide under-bridge view, and beautiful appearance, single-column pier bridges are widely used in urban bridge networks. However, single-column pier bridges are prone to damage during earthquakes or heavy vehicle use, which can seriously affect normal operations and post-disaster recoveries. Therefore, there is an urgent need to carry out the seismic resilience assessment of single-column pier bridges and formulate disaster prevention and mitigation measures from the aspects of design, maintenance, and post-earthquake recovery. This paper first establishes a resilience assessment framework for the single-column pier bridge and optimizes a functionality recovery model after an earthquake. Then, a numerical model of a sample bridge is built for resilience fragility analysis. Nonlinear dynamic time history analysis is performed to build a probabilistic seismic demand model, and moment-curvature analysis is performed to build a probabilistic seismic capacity model. Finally, a seismic resilience assessment of the single-column pier bridge is obtained based on the seismic fragility, and a sensitivity analysis is carried out for the pier height, pier section dimension, span and vehicle load level to improve the resilience of the single-column pier bridge.","PeriodicalId":504755,"journal":{"name":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139868364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LSTM Neural Networks Using the SMOTE Algorithm for Wind Turbine Fault Prediction 使用 SMOTE 算法的 LSTM 神经网络用于风力涡轮机故障预测

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering Pub Date : 2024-02-01 DOI: 10.1115/1.4064375

Júlio Oliveira Schmidt, Lucas França Aires, G. R. Hubner, Humberto Pinheiro, Daniel Fernando Tello Gamarra

引用次数: 0

Statistical Approaches for the Reduction of Measurement Errors in Metrology 减少计量测量误差的统计方法

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering Pub Date : 2023-12-15 DOI: 10.1115/1.4064284

Marc Gille, Pierre Beaurepaire, N. Gayton, Antoine Dumas, T. Yalamas

引用次数: 0

Filter Approximations for Random Vibroacoustics of Rigid Porous Media 刚性多孔介质随机振动声学的滤波器近似值

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering Pub Date : 2023-12-15 DOI: 10.1115/1.4064286

A. Sreekumar, I. Kougioumtzoglou, S. Triantafyllou

{"title":"Filter Approximations for Random Vibroacoustics of Rigid Porous Media","authors":"A. Sreekumar, I. Kougioumtzoglou, S. Triantafyllou","doi":"10.1115/1.4064286","DOIUrl":"https://doi.org/10.1115/1.4064286","url":null,"abstract":"An approximate efficient stochastic dynamics technique is developed for determining response statistics of linear systems with frequency-dependent parameters, which are used for modeling wave propagation through rigid porous media subject to stochastic excitation. This is done in conjunction with a filter approximation of the system frequency response function. The technique exhibits the following advantages compared to alternative solution treatments in the literature. First, relying on an input-output relationship in the frequency domain, the response power spectrum matrix is integrated analytically for determining the stationary response covariance matrix, at zero computational cost. Second, the proposed filter approximation facilitates a state-variable formulation of the governing stochastic differential equations in the time domain. This yields a coupled system of deterministic differential equations to be solved numerically for the response covariance matrix. Thus, the non-stationary (transient) response covariance can be computed in the time domain at a relatively low computational cost. Various numerical examples are considered for demonstrating the accuracy and computational efficiency of the herein developed technique. Comparisons with pertinent Monte Carlo simulation data are included as well.","PeriodicalId":504755,"journal":{"name":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139177892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0