地震工程与工程振动最新文献_第7页

EXPERIMENTAL AND NUMERICAL INVESTIGATION OF INNOVATIVE DUCTILE AND REPLACEABLE ANCHORING SYSTEMS FOR WOOD SHEAR WALLS UNDER SEISMIC LOADS 地震荷载作用下新型延性和可替换型木剪力墙锚固系统的试验与数值研究

地震工程与工程振动 Pub Date : 2021-01-01 DOI: 10.7712/120121.8632.18636

Georgios Balaskas, V. Wilden, B. Hoffmeister

引用次数: 0

A PARAMETRIC ANALYSIS OF THE SEISMIC PERFORMANCE OF BRIDGES AS A FUNCTION OF THE DCFP DEVICE PROPERTIES 桥梁抗震性能随DCFP装置性能的参数化分析

地震工程与工程振动 Pub Date : 2021-01-01 DOI: 10.7712/120121.8798.18548

P. Castaldo, G. Amendola

引用次数: 0

TYPOLOGICAL ANALYSIS AND VULNERABILITY CURVES FOR MASONRY CHURCHES 砖石教堂类型分析及脆弱性曲线

地震工程与工程振动 Pub Date : 2021-01-01 DOI: 10.7712/120121.8702.19026

E. Cescatti, V. Follador, F. da Porto

引用次数: 2

ANALYTICAL PROBABILISTIC RESILIENCE ESTIMATION FOR BRIDGES UNDER NEAR-FAULT EARTHQUAKES 近断层地震作用下桥梁恢复力的分析概率估计

地震工程与工程振动 Pub Date : 2021-01-01 DOI: 10.7712/120121.8726.19090

Yang Liu, D. Lu, F. Paolacci

{"title":"ANALYTICAL PROBABILISTIC RESILIENCE ESTIMATION FOR BRIDGES UNDER NEAR-FAULT EARTHQUAKES","authors":"Yang Liu, D. Lu, F. Paolacci","doi":"10.7712/120121.8726.19090","DOIUrl":"https://doi.org/10.7712/120121.8726.19090","url":null,"abstract":"The seismic resilience is becoming an important indicator for the performance assessment of structures and infrastructure systems. This paper proposes a probabilistic approach based on seismic fragility analysis to assess the seismic resilience of steel-concrete composite bridges. By considering the structural and seismic uncertainties in different analysis steps of this approach, the sample generation process for probabilistic demand models is simplified, which largely reduced the computational burden. To deeper understand the seismic resilience and better describe the uncertainties, the estimation interval of the expected resilience is given, while the uncertainties are considered in fragility and propagated to the resilience. This approach is applied to a new typology of steel-concrete composite bridge endowed with concrete cross beams, which has been analyzed within the European Research Project SEQBRI. The results show that this probabilistic approach can largely speed up the process of seismic resilience assessment, while both the aleatory and epistemic uncertainties are considered. Mean-while, the resilience of the bridge is assessed under both the near-fault and the far-field ground motions which aim to study the influence of near-fault earthquakes on the seismic resilience.","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84989475","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

EXPERIMENTAL SEISMIC POST-TENSIONING PERFORMANCE AND LONG-TERM EFFECTS OF A POST-TENSIONED TIMBER FRAMED MODEL WITH DISSIPATIVE SYSTEMS 具有耗散体系的后张木结构模型的抗震后张性能及长期影响

地震工程与工程振动 Pub Date : 2021-01-01 DOI: 10.7712/120121.8761.18994

A. Di Cesare, F. Ponzo, N. Lamarucciola, D. Nigro

引用次数: 0

STRUCTURAL DAMAGE PREDICTION UNDER SEISMIC SEQUENCE USING NEURAL NETWORKS 基于神经网络的地震序列下结构损伤预测

地震工程与工程振动 Pub Date : 2021-01-01 DOI: 10.7712/120121.8750.18752

Petros C. Lazaridis, Ioannis E. Kavvadias, Konstantinos Demertzis, L. Iliadis, Antonios Papaleonidas, L. Vasiliadis, A. Elenas

{"title":"STRUCTURAL DAMAGE PREDICTION UNDER SEISMIC SEQUENCE USING NEURAL NETWORKS","authors":"Petros C. Lazaridis, Ioannis E. Kavvadias, Konstantinos Demertzis, L. Iliadis, Antonios Papaleonidas, L. Vasiliadis, A. Elenas","doi":"10.7712/120121.8750.18752","DOIUrl":"https://doi.org/10.7712/120121.8750.18752","url":null,"abstract":"Advanced machine learning algorithms, such as neural networks, have the potential to be successfully applied to many areas of system modelling. Several studies have been already conducted on forecasting structural damage due to individual earthquakes, ignoring the influence of seismic sequences, using neural networks. In the present study, an ensemble neural network approach is applied to predict the final structural damage of an 8-storey reinforced concrete frame under real and artificial ground motion sequences. Successive earthquakes consisted of two seismic events are utilised. We considered 16 well-known ground motion intensity measures and the structural damage that occurred by the first earthquake as the features of the machine-learning problem, while the final structural damage was the target. After the first seismic events and after the seismic sequences, both actual values of damage indices are calculated through nonlinear time history analysis. The machine-learning model is trained using the dataset generated from artificial sequences. Finally, the predictive capacity of the fitted neural network is accessed using the natural seismic sequences as a test set. P.C. Lazaridis, I.E. Kavvadias, K. Demertzis, L. Iliadis, A. Papaleonidas, L.K. Vasiliadis, A. Elenas","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82065657","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: 6

TOWARDS A UNIFIED SEISMIC- FLOOD HAZARD MODEL FOR RISK ASSESSMENT OF ROADWAY NETWORKS IN GREECE 希腊道路网络风险评估的统一地震-洪水灾害模型

地震工程与工程振动 Pub Date : 2021-01-01 DOI: 10.7712/120121.8730.19588

A. Karatzetzou, S. Stefanidou, S. Stefanidis, Grigorios Tsinidis, D. Pitilakis

引用次数: 2

EXPERIMENTAL AND NUMERICAL INVESTIGATION OF A MASONRY MODEL BUILDING SUBJECTED TO DYNAMIC BASE EXCITATIONS 基础动力激励下砌体模型建筑的试验与数值研究

地震工程与工程振动 Pub Date : 2021-01-01 DOI: 10.7712/120121.8692.19598

Stefania Demosthenous, M. Demosthenous

引用次数: 0

IMPACT OF MASONRY INFILL VARIABILITY ON THE ESTIMATION OF FLOOR RESPONSE SPECTRA IN RC BUILDINGS 砌体填充变异性对钢筋混凝土建筑楼板反应谱估计的影响

地震工程与工程振动 Pub Date : 2021-01-01 DOI: 10.7712/120121.8463.18662

G. Mucedero, D. Perrone, E. Brunesi, R. Monteiro