Pub Date : 2021-01-01DOI: 10.7712/120121.8632.18636
Georgios Balaskas, V. Wilden, B. Hoffmeister
{"title":"EXPERIMENTAL AND NUMERICAL INVESTIGATION OF INNOVATIVE DUCTILE AND REPLACEABLE ANCHORING SYSTEMS FOR WOOD SHEAR WALLS UNDER SEISMIC LOADS","authors":"Georgios Balaskas, V. Wilden, B. Hoffmeister","doi":"10.7712/120121.8632.18636","DOIUrl":"https://doi.org/10.7712/120121.8632.18636","url":null,"abstract":"","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":"88 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84173808","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}
Pub Date : 2021-01-01DOI: 10.7712/120121.8798.18548
P. Castaldo, G. Amendola
The present investigation examines how the properties of the double concave friction pendulum (DCFP) devices influence the seismic performance of isolated multi-span continuous deck bridges. The numerical simulations are carried out using an eight-degree-of-freedom model to reproduce the elastic behavior of the pier, associated to the assumption of both rigid abutment and rigid deck, and the non-linear velocity-dependent behavior of the two surfaces of the double concave friction pendulum isolators, under a set of natural records with different characteristics. The results in terms of the statistics related to the relevant response parameters are computed in non-dimensional form with respect to the seismic intensity considering different properties of both DCFP isolators and bridge.
{"title":"A PARAMETRIC ANALYSIS OF THE SEISMIC PERFORMANCE OF BRIDGES AS A FUNCTION OF THE DCFP DEVICE PROPERTIES","authors":"P. Castaldo, G. Amendola","doi":"10.7712/120121.8798.18548","DOIUrl":"https://doi.org/10.7712/120121.8798.18548","url":null,"abstract":"The present investigation examines how the properties of the double concave friction pendulum (DCFP) devices influence the seismic performance of isolated multi-span continuous deck bridges. The numerical simulations are carried out using an eight-degree-of-freedom model to reproduce the elastic behavior of the pier, associated to the assumption of both rigid abutment and rigid deck, and the non-linear velocity-dependent behavior of the two surfaces of the double concave friction pendulum isolators, under a set of natural records with different characteristics. The results in terms of the statistics related to the relevant response parameters are computed in non-dimensional form with respect to the seismic intensity considering different properties of both DCFP isolators and bridge.","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84541980","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}
Pub Date : 2021-01-01DOI: 10.7712/120121.8702.19026
E. Cescatti, V. Follador, F. da Porto
{"title":"TYPOLOGICAL ANALYSIS AND VULNERABILITY CURVES FOR MASONRY CHURCHES","authors":"E. Cescatti, V. Follador, F. da Porto","doi":"10.7712/120121.8702.19026","DOIUrl":"https://doi.org/10.7712/120121.8702.19026","url":null,"abstract":"","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84757560","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}
Pub Date : 2021-01-01DOI: 10.7712/120121.8726.19090
Yang Liu, D. Lu, F. Paolacci
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.
{"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":"47 1","pages":""},"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}
Pub Date : 2021-01-01DOI: 10.7712/120121.8761.18994
A. Di Cesare, F. Ponzo, N. Lamarucciola, D. Nigro
{"title":"EXPERIMENTAL SEISMIC POST-TENSIONING PERFORMANCE AND LONG-TERM EFFECTS OF A POST-TENSIONED TIMBER FRAMED MODEL WITH DISSIPATIVE SYSTEMS","authors":"A. Di Cesare, F. Ponzo, N. Lamarucciola, D. Nigro","doi":"10.7712/120121.8761.18994","DOIUrl":"https://doi.org/10.7712/120121.8761.18994","url":null,"abstract":"","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81944345","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}
Pub Date : 2021-01-01DOI: 10.7712/120121.8750.18752
Petros C. Lazaridis, Ioannis E. Kavvadias, Konstantinos Demertzis, L. Iliadis, Antonios Papaleonidas, L. Vasiliadis, A. Elenas
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
先进的机器学习算法，如神经网络，有可能成功地应用于系统建模的许多领域。在忽略地震序列影响的情况下，利用神经网络预测单个地震造成的结构破坏已经进行了几项研究。本文采用集成神经网络方法对某8层钢筋混凝土框架在真实地震动和人工地震动序列作用下的最终结构损伤进行了预测。利用由两次地震事件组成的连续地震。我们考虑了16个众所周知的地面运动强度测量和第一次地震发生的结构破坏作为机器学习问题的特征，而最终的结构破坏是目标。在第一次地震事件发生后和连续地震发生后，通过非线性时程分析计算损伤指标的实际值。机器学习模型使用人工序列生成的数据集进行训练。最后，以自然地震序列为测试集，对拟合神经网络的预测能力进行了测试。P.C. Lazaridis, I.E. Kavvadias, K. Demertzis, L. Iliadis, A. Papaleonidas, L.K. 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":"15 1","pages":""},"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}
Pub Date : 2021-01-01DOI: 10.7712/120121.8730.19588
A. Karatzetzou, S. Stefanidou, S. Stefanidis, Grigorios Tsinidis, D. Pitilakis
{"title":"TOWARDS A UNIFIED SEISMIC- FLOOD HAZARD MODEL FOR RISK ASSESSMENT OF ROADWAY NETWORKS IN GREECE","authors":"A. Karatzetzou, S. Stefanidou, S. Stefanidis, Grigorios Tsinidis, D. Pitilakis","doi":"10.7712/120121.8730.19588","DOIUrl":"https://doi.org/10.7712/120121.8730.19588","url":null,"abstract":"","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84735800","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}
Pub Date : 2021-01-01DOI: 10.7712/120121.8692.19598
Stefania Demosthenous, M. Demosthenous
{"title":"EXPERIMENTAL AND NUMERICAL INVESTIGATION OF A MASONRY MODEL BUILDING SUBJECTED TO DYNAMIC BASE EXCITATIONS","authors":"Stefania Demosthenous, M. Demosthenous","doi":"10.7712/120121.8692.19598","DOIUrl":"https://doi.org/10.7712/120121.8692.19598","url":null,"abstract":"","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81808326","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}
Pub Date : 2021-01-01DOI: 10.7712/120121.8463.18662
G. Mucedero, D. Perrone, E. Brunesi, R. Monteiro
{"title":"IMPACT OF MASONRY INFILL VARIABILITY ON THE ESTIMATION OF FLOOR RESPONSE SPECTRA IN RC BUILDINGS","authors":"G. Mucedero, D. Perrone, E. Brunesi, R. Monteiro","doi":"10.7712/120121.8463.18662","DOIUrl":"https://doi.org/10.7712/120121.8463.18662","url":null,"abstract":"","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82409555","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}
Pub Date : 2021-01-01DOI: 10.7712/120121.8725.19015
E. Saler, V. Pernechele, G. Tecchio, F. da Porto
{"title":"APPLICATION TO AN URBAN BRIDGE STOCK OF A PRIORITIZATION PROCEDURE BASED ON SEISMIC ASSESSMENT COMPARED WITH THE NOVEL ITALIAN GUIDELINES","authors":"E. Saler, V. Pernechele, G. Tecchio, F. da Porto","doi":"10.7712/120121.8725.19015","DOIUrl":"https://doi.org/10.7712/120121.8725.19015","url":null,"abstract":"","PeriodicalId":66281,"journal":{"name":"地震工程与工程振动","volume":"158 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80609687","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}
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