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Academic literature on the topic 'Seismic intensity measures'

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Published: 10 March 2023

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Journal articles on the topic "Seismic intensity measures"

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Grigoriu, M. "Do seismic intensity measures (IMs) measure up?" Probabilistic Engineering Mechanics 46 (October 2016): 80–93. http://dx.doi.org/10.1016/j.probengmech.2016.09.002.

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Lin, L., and Y. L. Gao. "Inelastic Versus Elastic Displacement-Based Intensity Measures for Seismic Analysis." International Journal of Engineering and Technology 6, no. 6 (December 2014): 476–80. http://dx.doi.org/10.7763/ijet.2014.v6.744.

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Lin, Lan, Nove Naumoski, Murat Saatcioglu, and Simon Foo. "Improved intensity measures for probabilistic seismic demand analysis. Part 2: application of the improved intensity measures." Canadian Journal of Civil Engineering 38, no. 1 (January 2011): 89–99. http://dx.doi.org/10.1139/l10-111.

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This is the second of two companion papers on improved intensity measures of strong seismic ground motions for use in probabilistic seismic demand analysis of reinforced concrete frame buildings. The first paper discusses the development of improved intensity measures. This paper describes the application of the developed intensity measures in probabilistic seismic demand analysis. The application is illustrated on the three reinforced concrete frame buildings (4, 10, and 16-storey high) that were used in the first paper. This involved computations of the seismic responses of the structures and the seismic hazard using the improved intensity measures. The response and the hazard results were then combined by means of probabilistic seismic demand analysis to determine the mean annual frequencies of exceeding specified response levels due to future earthquakes (i.e., the probabilistic seismic demands). For the purpose of comparison, probabilistic seismic demand analyses were also conducted by employing the spectral acceleration at the fundamental structural periods (Sa(T1)) as an intensity measure, which is currently the most used in practice. It was found that the use of the improved intensity measures results in significantly lower seismic demands relative to those corresponding to the intensity measure represented by Sa(T1), especially for long period structures.
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Lin, Lan, Nove Naumoski, Murat Saatcioglu, and Simon Foo. "Improved intensity measures for probabilistic seismic demand analysis. Part 1: development of improved intensity measures." Canadian Journal of Civil Engineering 38, no. 1 (January 2011): 79–88. http://dx.doi.org/10.1139/l10-110.

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This is the first of two companion papers on improved intensity measures of strong seismic ground motions for use in probabilistic seismic demand analysis. It describes the formulation and the development of new intensity measures. The second paper illustrates the application of the developed intensity measures in probabilistic seismic demand analysis. The development of the intensity measures was based on investigations of the seismic responses of three reinforced concrete frame buildings (4, 10, and 16-storey high) designed for Vancouver. The buildings were subjected to a selected set of seismic motions scaled to different intensity levels. Maximum interstorey drifts obtained from nonlinear dynamic analyses were used as response parameters. Based on the results from the analyses, two intensity measures are proposed: one for short- and intermediate-period buildings, and another one for long-period buildings. The proposed intensity measures are superior compared to that represented by the spectral acceleration at the fundamental building period (Sa(T1)), which is currently the most widely used intensity measure in probabilistic seismic demand analysis.
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O’Reilly, Gerard J. "Seismic intensity measures for risk assessment of bridges." Bulletin of Earthquake Engineering 19, no. 9 (May 5, 2021): 3671–99. http://dx.doi.org/10.1007/s10518-021-01114-z.

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Bantilas, Kosmas E., Ioannis E. Kavvadias, Magdalini Tyrtaiou, and Anaxagoras Elenas. "Hilbert–Huang-Transform-Based Seismic Intensity Measures for Rocking Response Assessment." Applied Sciences 13, no. 3 (January 27, 2023): 1634. http://dx.doi.org/10.3390/app13031634.

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Structures that can uplift and rock under severe seismic excitations present remarkable stability without exhibiting damage. As such, rocking-response-based structural systems constitute a promising design practice. Due to the high nonlinearity of the rocking response, the seismic performance of this class of structures should be evaluated probabilistically. From this point of view, in the present study, the performance of 12 novel HHT-based intensity measures (IMs) in describing the seismic behavior of typical rocking viaducts was assessed based on optimal IM selection criteria. To this end, a comparative evaluation of the performance between the proposed and 26 well-known conventional IMs was presented. Moreover, bivariate IMs were also considered, and seismic fragilities were provided. Finally, the classification of the seismic response was conducted using discriminant analysis, resulting in a reliable and rapid estimation of the maximum seismic demand. Based on the results, it is evident that HHT-based IMs result in an enhanced estimation of the seismic performance of the examined structural system.
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Bradley, Brendon A., Misko Cubrinovski, Rajesh P. Dhakal, and Gregory A. MacRae. "Intensity measures for the seismic response of pile foundations." Soil Dynamics and Earthquake Engineering 29, no. 6 (June 2009): 1046–58. http://dx.doi.org/10.1016/j.soildyn.2008.12.002.

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Bakalis, Konstantinos, Mohsen Kohrangi, and Dimitrios Vamvatsikos. "Seismic intensity measures for above-ground liquid storage tanks." Earthquake Engineering & Structural Dynamics 47, no. 9 (April 26, 2018): 1844–63. http://dx.doi.org/10.1002/eqe.3043.

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Shinoda, Masahiro, Susumu Nakajima, Kenji Watanabe, Susumu Nakamura, Ikumasa Yoshida, and Yoshihisa Miyata. "Practical seismic fragility estimation of Japanese railway embankments using three seismic intensity measures." Soils and Foundations 62, no. 4 (August 2022): 101160. http://dx.doi.org/10.1016/j.sandf.2022.101160.

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Deng, Yong Jun, Yong Yao, and Dai Guo Chen. "Seismic Damage Analysis and Reinforcement Measures Research of a Long-Span Structure." Applied Mechanics and Materials 94-96 (September 2011): 1338–43. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.1338.

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Abstract: Taking a Practical Big Span Stadium Project as the Background, in View of its Particularity that it Suffered Earthquake Damage and Fortification Intensity Increased after Earthquake, through the Field Detection and Finite Element Model to Analyze Earthquake Damage of Structure Caused by Wenchuan Earthquake, and Research the Feasibility of Seismic Strengthening with Hadas on the Structure Whose Fortification Intensity Increased after Earthquake. the Results Show that: 1) the Big Span Structure Severely Damage by the Earthquake, the Second Layer Is Relatively Weak Layer, Prone to Local Damage and Affect Whole Anti-seismic Performance of Structure, 2) Hadas Can Increase the Initial Stiffness and Effectively Reduce the Structure Seismic Response, Has Better Effect on Overall Reinforcement, 3) it Is Reasonable to Improve the Seismic Fortification Intensity of this Region.
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Dissertations / Theses on the topic "Seismic intensity measures"

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De, Biasio Marco. "Ground motion intensity measures for seismic probabilistic risk analysis." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENI051/document.

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Une question fondamentale qui surgit dans le cadre de l’analyse probabiliste du risque sismique est le choix des indicateurs de nocivité des signaux sismiques. En plus de réduire la variabilité de la réponse structurelle (ou non structurelle),un indicateur amélioré (i.e. capable de mieux capturer les caractéristiques de nocivité des mouvements sismiques, aussi bien que l’alea sismique) fournit des critères moins stricts pour la sélection des signaux sismiques.Deux nouveaux indicateurs sont proposés dans cette étude: le premier, nommé ASAR (i.e. Relative Average Spectral Acceleration), est conçu pour la prévision de la demande structurelle, le second, nommé E-ASAR (i.e.Equipment Relative Average Spectral Acceleration), vise à prévoir la demande des composants non structuraux. Les performances des indicateurs proposés sont comparées avec celles des indicateurs de la littérature, sur la base de: a)milliers d’enregistrements sismiques ; b) analyses numériques conduites avec des modèles représentants différents types de bâtiments; et c) analyses statistiques rigoureuses des résultats. Selon l'étude comparative, les indicateurs développés s'avèrent être plus “efficaces” que les indicateurs couramment utilisés. D'ailleurs, l’ASAR et l’E-ASAR ont montré au propre la caractéristique de la “suffisance” en ce qui concerne la magnitude, la distance source-site, et le type de sol (VS30). De plus, les deux indicateurs originaux peuvent être calculés simplement avec la connaissance de la fréquence fondamentale du bâtiment. Cette caractéristique rend l’ASAR et l’E-ASAR facilement exploitables dans les études probabilistes d’alea sismique.Par conséquent, en raison de leur efficacité, suffisance, robustesse et formulation simple, l’ASAR et l’E-ASAR peuvent être considérés comme des candidats prometteurs pour la définition de l’alea sismique dans les cadres de l'analyse probabiliste et déterministe du risque sismique
A fundamental issue that arises in the framework of Probabilistic Seismic Risk Analysis is the choice of groundmotion Intensity Measures (IMs). In addition to reducing record-to-record variability, an improved IM (i.e. one able tobetter capture the damaging features of a record, as well as the site hazard) provides criteria for selecting input groundmotions to loosen restrictions.Two new structure-specific IMs are proposed in this study: the first, namely ASAR (i.e. Relative Average SpectralAcceleration), is conceived for Structural demand prediction, the second namely, E-ASAR (i.e. Equipment-RelativeAverage Spectral Acceleration), aims to predict Non-Structural components acceleration demand. The performance ofthe proposed IMs are compared with the ones of current IMs, based on: a) a large dataset of thousands recordedearthquake ground motions; b) numerical analyses conducted with state-of-the-art FE models, representing actualload-bearing walls and frame structures, and validated against experimental tests; and c) systematic statistical analysesof the results. According to the comparative study, the introduced IMs prove to be considerably more “efficient” withrespect to the IMs currently used. Likewise, both ASAR and E-ASAR have shown to own the characteristic of“sufficiency” with respect to magnitude, source-to-site distance and soil-type (Vs30). Furthermore, both the introducedIMs possess the valuable characteristics to need (in order to be computed) merely the knowledge of the building’sfundamental frequency, exactly as it is for the wide-spread spectral acceleration Spa(f1). This key characteristic makesboth ASAR and E-ASAR easily exploitable in Probabilistic Seismic Hazard Analysis.Therefore, due to their proven efficiency, sufficiency, robustness and applicable formulation, both ASAR and EASARcan be considered as worthy candidates for defining seismic hazard within the frameworks of both Probabilisticand Deterministic Seismic Risk Analysis
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Tothong, Polsak. "Probabilistic seismic demand analysis using advanced ground motion intensity measures, attenuation relationships, and near-fault effects /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Dehghanpoor, Sichani Ahmad. "Soil-pile-superstructure systems under combined horizontal and vertical strong ground motions." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/207885/1/Ahmad_Dehghanpoor%20Sichani_Thesis.pdf.

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Highway bridges considered as important but possibly vulnerable superstructures must be studied under natural hazards, such as earthquakes, tsunamis, hurricanes. This thesis was a novel investigation on reinforced concrete bridges under coupled horizontal and vertical ground motions. A variety of ground motions has been examined for different classification of bridges and novel conclusions have been presented in the probabilistic and deterministic frameworks.
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Avsar, Ozgur. "Fragility Based Seismic Vulnerability Assessment Of Ordinary Highway Bridges In Turkey." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610693/index.pdf.

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Recent devastating earthquakes revealed that bridges are one of the most vulnerable components of the transportation systems. These seismic events have emphasized the need to mitigate the risk resulting from the failure of the bridges. Depending on the seismicity of the bridge local site, seismic vulnerability assessment of the bridges can be done based on the fragility curves. These curves are conditional probability functions which give the probability of a bridge attaining or exceeding a particular damage level for an earthquake of a given intensity level. In this dissertation, analytical fragility curves are developed for the ordinary highway bridges in Turkey constructed after the 1990s to be used in the assessment of their seismic vulnerability. Bridges are first grouped into certain major bridge classes based on their structural attributes and sample bridges are generated to account for the structural variability. Nonlinear response history analyses are conducted for each bridge sample with their detailed 3-D analytical models under different earthquake ground motions having varying seismic intensities. Several engineering demand parameters are employed in the determination of seismic response of the bridge components as well as defining damage limit states in terms of member capacities. Fragility curves are obtained from the probability of exceeding each specified damage limit state for each major bridge class. Skew and single-column bent bridges are found to be the most vulnerable ones in comparison with the other bridge classes. Developed fragility curves can be implemented in the seismic risk assessment packages for mitigation purposes.
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CHENG, YIN. "Intensity Measures for Seismic Response Prediction and associated Ground Motion Selection and Modification." Doctoral thesis, 2013. http://hdl.handle.net/11573/917092.

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Based on the research of the first generation of Performance-Based Earthquake engineering methodology (PBEE), Pacific Earthquake Engineering Research Centre (PEER) has developed the second generation procedure aiming at a more robust methodology of PBEE where the process is broken into several logical elements that can be studied and resolved in a rigorous and consistent manner. Due to the inherent uncertainty properties of earthquake occurrence, e.g. earthquake intensity, ground motion features, nonlinear dynamic behaviour of structures and etc., it allows that the new generation of PBEE methodology should be formalized within a probabilistic basis. To apply this methodology it requires an interactive effort of multi-disciplinary experts, such as geology engineers, seismologist, structural engineers, loss experts and etc. For structural engineers the most interest can be relevant to the selection and estimation of two parameters in PBEE, i.e. Intensity Measures (IM) and Engineering Demand Parameters (EDP), which reflect ground motion hazard and structural response in terms of deformations, accelerations, or other response quantities of the building excited by input ground motions. The EDPs are strongly dependent on the Intensity Measure (IM) used to perform the selection of ground motions. The IM as an intermediate variable connecting seismic analysis and structural analysis plays a very important role for structural engineers. An ideal IM should generally be of efficiency and sufficiency. The efficiency means it yields low dispersion of values of engineering demand parameter (EDP), while the sufficiency implies that EDP predicted with the candidate IM should be only dependent on this IM, not be conditionally dependent on properties of ground motions, like magnitude, source to site distance, fault mechanism etc. Therefore it implies the need of comparison among different intensity measures (IMs), in particular the comparison of dispersion of the EDP in relation to each IM. To this purpose a set of IMs 27 IMs, including those commonly adopted and some modified IMs based on the existed ones, are investigated in order to find optimum IMs for predicting various EDPs. Not only is IMs for predicting the structural response of widely studied fixed base buildings are investigated, but also IMs for predicting structural response of the base-isolated buildings are initiatively studied. 80 ordinary and 59 pulse-like ground motion records are used to run nonlinear dynamic analyses on the 4-storey and 6-storey frame concrete buildings and these buildings equipped with base-isolation system on them. The EDPs considered in this study include the Maximum Inter-storey Drift Ratio (MIDR), the Maximum Roof Drift Ratio (MRDR) and the Maximum Base Displacement (MBD, only for base-isolated buildings). Base on the results from this study some energy-based intensity measures have been shown to be good predictors of both structural and non-structural damage for base-isolated structures. However, they are not usually employed in probabilistic seismic demand analyses because of the lack of reliable Ground Motion Prediction Equations (GMPEs). In order to define seismic hazard and thus to calculate demand hazard curves it is essential, in fact, to establish a GMPE for the earthquake intensity. In the light of this need, new GMPEs are proposed here for the energy-based intensity measure, in particular elastic input energy equivalent velocity spectra i.e. VEIa and VEIr. The new GMPE is developed by taking advantage of the more comprehensive NGA database with more completed meta-data compiled in recent years. This prediction equation has a wider magnitude and distance applicable range, considers the effect of soil site by VS30 and fault mechanism, and etc. However when the energy-based IMs are used in the selection and modification of ground motions for structural dynamic analyses, the uniform hazard spectrum derived from their GMPEs only gives the marginal distribution without information of joint occurrence of spectral values at different periods. In fact the uniform hazard spectrum of spectral acceleration is widely demonstrated to cause conservative results. Therefore the correlation of the elastic input energy spectral values at different periods is initiatively evaluated and the analytical predictive equation is also proposed to calculate the correlation of elastic input energy spectral values. Using the correlation their conditional mean spectrum recognized as a more appropriate target spectrum for ground motions selections can be developed. On the other hand this correlation also can be used to calculate the predicted mean value and the dispersion of some integral intensity measures (such as VEIaSI, VEIrSI, MVEIaSI, MVEIrSI), achieving the application of these IMs in Performance-Based Earthquake Engineering. Finally, we made a practical Matlab implementation for ground motion selection and modification. Here it is called RELACS (REaL ACcelerogram Selection). The total ground motion database used in RELACS, with more available ground motion records, is composed of three large ground motion database, i.e. NGA (Next Generation Attenuation) database, SISMA (Site of Italian Strong Motion Accelerograms) database, and ESGM (European Strong Ground Motion) Database. The RELACS brings to engineers and researchers more convenience to select ground motion accelerograms, using nowadays widely adopted GMSM methods in terms of not only some commonly used acceleration-based IMs and some other scalar intensity measures but also some energy-based IMs that have been approved good predictors for the response of base-isolated buildings. The RELACS contains two consecutive steps: selection according to the geophysical parameters; and selection according to the elastic response parameters (IMs). The user can easily obtain the acceleration time-history, and the acceleration spectrum, the velocity spectrum and the displacement spectrum of the ground motion record selected using the RELACS.
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Ciano, Matteo. "On the accuracy of seismic fragilities for actual linear/nonlinear structural systems: the modified intensity measure method." Doctoral thesis, 2021. http://hdl.handle.net/2158/1269611.

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Tesi presentata e approvata dalla Facoltà di Architettura, Ingegneria Civile e Scienze Ambientali Technische Universität Braunschweig e dal Dipartimento di Ingegneria Civile e Ambientale dell'Università degli Studi di Firenze per candidarsi al titolo di Doktor-Ingenieur (Dr.-Ing.) / Dottore di Ricerca in Ingegneria Civile e Ambientale*) *) Può essere utilizzata la forma tedesca o italiana del titolo. Dissertation submitted to and approved by the Faculty of Architecture, Civil Engineering and Environmental Sciences Technische Universität Braunschweig and the Department of Civil and Environmental Engineering University of Florence in candidacy for the degree of a Doktor-Ingenieur (Dr.-Ing.) / Dottore di Ricerca in Civil and Environmental Engineering*) *) Either the German or the Italian form of the title may be used.
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Book chapters on the topic "Seismic intensity measures"

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Sandi, Horea. "Ground Motion Intensity Versus Ground Motion Kinematics. Exploring Various Intensity Measures." In Seismic Hazard and Risk Assessment, 173–89. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74724-8_12.

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Phan, Van-Tien, and Duy-Duan Nguyen. "Correlation Between Seismic Intensity Measures and Response of Skewed Bridges." In Lecture Notes in Civil Engineering, 25–36. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4617-1_3.

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Ciampoli, Marcello, and Paolo Giovenale. "Optimal Intensity Measures for the Characterization of the Ground Motion in Performance-Based Seismic Design." In Probabilistic Safety Assessment and Management, 2932–37. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_469.

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Grigoriu, M. "A new perspective on seismic Intensity Measures (IMs)." In Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications, 153–56. CRC Press, 2019. http://dx.doi.org/10.1201/9780429426506-25.

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Lowrie, William. "4. Seismicity—the restless Earth." In Geophysics: A Very Short Introduction, 47–68. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780198792956.003.0004.

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Hundreds of thousands of earthquakes occur worldwide each year, but most of them go unnoticed. Only a few are very destructive. Most earthquakes have a tectonic origin and happen in well-defined, relatively narrow seismic zones. ‘Seismicity—the restless Earth’ first describes the elastic rebound model that explains how an earthquake occurs. There are two measures of the size of an earthquake: its magnitude and intensity. Magnitude is a measure of the energy released by the earthquake classified by the Richter scale, while intensity is a qualitative measure based on observed effects using a twelve-part scale. Maps of the locations of earthquake epicentres show that these are concentrated in narrow seismically active zones. Earthquake monitoring and prediction are discussed.
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Kouris, Leonidas Alexandros S., and Andreas J. Kappos. "Numerical Investigation and Empirical Seismic Vulnerability Assessment of Timber-Framed Masonry Buildings." In Handbook of Research on Seismic Assessment and Rehabilitation of Historic Structures, 60–84. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8286-3.ch003.

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This chapter describes the development of traditional timber-framed masonry techniques as an anti-seismic measure in the course of time and their corresponding seismic effectiveness. Firstly, the evolution of timber framed structures from the Bronze Age to date is presented and the effects on their seismic resistance of the structural changes to which these structures have been subjected since the most ancient construction. It is noted that the appearance of timber in the body of masonry walls in prehistoric Greece after strong seismic events is the first time in the history of mankind that an effort is made to provide a rational method for seismic resistance to buildings. The seismic performance of traditional structures during recent earthquakes is also discussed. A variety of advanced analytical modelling strategies for these buildings is presented, from a detailed micro-model to macro-model procedures. The potential seismic vulnerability of these buildings is investigated using statistical data from recent earthquakes. Empirical fragility curves in terms of PGA, PGV and macroseismic intensity from the 2003 Lefkas earthquake damage data are presented.
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Qian, Jing, and You Dong*. "Seismic intensity measure selection under multiple criteria and uncertainty." In Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations, 686–92. CRC Press, 2021. http://dx.doi.org/10.1201/9780429279119-90.

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Najafi, L., and M. Tehranizadeh. "Intensity measure parameters for the evaluation of the seismic behaviour of steel moment resisting frames." In Behaviour of Steel Structures in Seismic Areas, 973–78. CRC Press, 2011. http://dx.doi.org/10.1201/b11396-148.

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"Intensity measure parameters for the evaluation of the seismic behaviour of steel moment resisting frames." In Behaviour of Steel Structures in Seismic Areas, 993–98. CRC Press, 2012. http://dx.doi.org/10.1201/b11396-150.

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Matsuzaki, H., K. Kasahara, and M. Suzuki. "Seismic intensity measure in consideration of nonlinear response of reinforced concrete columns." In Life-Cycle of Civil Engineering Systems, 1771–78. CRC Press, 2014. http://dx.doi.org/10.1201/b17618-265.

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Conference papers on the topic "Seismic intensity measures"

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Radu, Alin, and Mircea Grigoriu. "UNCERTAINTY IN SEISMIC INTENSITY MEASURES USED FOR FRAGILITY ANALYSIS." In 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2017. http://dx.doi.org/10.7712/120117.5534.18210.

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GOKCE, Tansu, Boris SAHIN, Engin ORAKDOGEN, and Ercan YUKSEL. "SEISMIC RESPONSE PREDICTION AND GROUND MOTION SELECTION BY USING INTENSITY MEASURES FOR BASE ISOLATED BUILDINGS." In The 16th World Conference on Seismic Isolation, Energy Dissipation and Active Vibration Control of Structures. Russian Association for Earthquake Engineering and Protection from Natural and Manmade Hazards, 2019. http://dx.doi.org/10.37153/2686-7974-2019-16-289-289.

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Phan, Hoang Nam, and Fabrizio Paolacci. "Efficient Intensity Measures for Probabilistic Seismic Response Analysis of Anchored Above-Ground Liquid Steel Storage Tanks." In ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-63103.

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Liquid storage tanks are vital lifeline structures and have been widely used in industries and nuclear power plants. In performance-based earthquake engineering, the assessment of probabilistic seismic risk of structural components at a site is significantly affected by the choice of ground motion intensity measures (IMs). However, at present there is no specific widely accepted procedure to evaluate the efficiency of IMs used in assessing the seismic performance of steel storage tanks. The study presented herein concerns the probabilistic seismic analysis of anchored above-ground steel storage tanks subjected to several sets of ground motion records. The engineering demand parameters for the analysis are the compressive meridional stress in the tank wall and the sloshing wave height of the liquid free surface. The efficiency and sufficiency of each alternative IM are quantified by results of time history analyses for the structural response and a proper regression analysis. According to the comparative study results, this paper proposes the most efficient and sufficient IMs with respect to the above demand parameters for a portfolio of anchored steel storage tanks.
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Gabbianelli, Giammaria, Daniele Perrone, Emanuele Brunesi, and Ricardo Monteiro. "Seismic Fragility Assessment of Steel Industrial Storage Tanks." In ASME 2022 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/pvp2022-84961.

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Abstract Storage tanks represent one of the most critical components in industrial facilities and building plants, when considering the occurrence of seismic events. The release of dangerous materials, due to their collapse, can be a safety issue in terms of both human life and environmental impact. This paper carries out a seismic performance assessment of a liquid-storage tank installed in an industrial steel moment-resisting frame building. The seismic performance is gauged in terms of fragility curves, which are provided for different limit states affecting the liquid-storage tank. Nonlinear dynamic analyses are performed using two different modelling approaches: the first explicitly accounts for the tank-structure interaction; the other considers the tank as only modelled as a seismic mass. The results discuss the importance of the modelling assumptions to estimate the seismic demand on liquid-storage tanks and corresponding fragility models for different intensity measures. Absolute acceleration floor response spectra are also analysed in detail, concerning the demand characerization. Finally, the study indicates that the intensity measure adopted for secondary components (i.e. peak floor acceleration) is not necessarily optimal threfeore future developments should produce updated fragility curves for non-structural elements, using better performing intensity measures.
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Xu, Yongjia, Xinzheng Lu, Yuan Tian, and Yuli Huang. "Real-time seismic damage prediction and comparison of various ground motion intensity measures based on machine learning." In IABSE Congress, Christchurch 2021: Resilient technologies for sustainable infrastructure. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/christchurch.2021.1158.

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<p>After earthquakes, an accurate and efficient seismic damage prediction is indispensable for emergency response. Existing methods face the dilemma between accuracy and efficiency. A real-time and accurate seismic damage prediction method based on machine-learning is proposed here. 48 intensity measures are used as input to represent the ground motion comprehensively. Besides, the workload of the NLTHA method is replaced by model training/testing and moved to a non-urgent stage to promote efficiency. Case studies with various building cases prove the accuracy and efficiency of the proposed method. Key intensity measures for each building are identified by iteratively using the proposed framework.</p>
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Wang, Zhenghua, Leonardo Dueñas-Osorio, and Jamie E. Padgett. "Optimal Intensity Measures for Probabilistic Seismic Response Analysis of Bridges on Liquefiable and Non-Liquefiable Soils." In Structures Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412367.047.

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Jeddi, Ashkan B., Abdollah Shafieezadeh, Jieun Hur, Jeong-Gon Ha, Daegi Hahm, and Min Kyu Kim. "Probabilistic Seismic Demand Analysis of Pile-Supported Transmission Towers on Infinite Slopes: Exploring Machine Learning Models for Optimal Intensity Measures." In Geo-Congress 2022. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484043.060.

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R. Gallipoli, M., D. Albarello, G. Calvano, V. Lapenna, and M. Mucciarelli. "Seismic hazard estimates using site intensity data and correlation with In-Situ measures of amplification effectsin the Val D’Agri area (Southern Italy)." In 5th EEGS-ES Meeting. European Association of Geoscientists & Engineers, 1999. http://dx.doi.org/10.3997/2214-4609.201406499.

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Quinci, Gianluca, Nam Hoang Phan, and Fabrizio Paolacci. "On the Use of Artificial Neural Network Technique for Seismic Fragility Analysis of a Three-Dimensional Industrial Frame." In ASME 2022 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/pvp2022-83874.

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Abstract Fragility function that defines the probability of exceedance of a damage state given a ground motion intensity (IM) is an essential ingredient of modern approaches to seismic engineering as the performance-based earthquake engineering methodology. Epistemic as well as aleatory uncertainties associated with seismic loads and structural behavior are usually taken into account to analytically develop such curves. However, structural analyses are time-consuming, requiring generally a high computational effort. Moreover, the conditional probability of failure is usually computed by regression analysis assuming predefined probability functions, like the log-normal distribution, without prior information on the real probability distribution. To overcome these problems, the artificial neural network (ANN) technique is used for the development of structural seismic fragility curves considering record-to-record variability and structural parameter uncertainties. In this respect, the following aspects are addressed in this paper: (a) implementation of an efficient algorithm to select IMs as inputs for ANN, selecting the most relevant ones; (b) derivation of surrogate models by using the ANN technique, c) computation of fragility curves with Monte Carlo Simulations method and verification of the validity. These methods enable the implicit treatment of uncertainty in either or both of ground motion intensity and structural properties without making any prior assumption about the probability function. This methodology is then applied to estimate the probability of failure of a non-structural component (NSC), i.e., vertical tank, located on a typical three-dimensional industrial frame. First, an extensive sensitivity analysis on the ANN input parameters is performed (feature selection), identifying the type and number of seismic intensity measures (amplitude-based, frequency-based, and time-based IM). Then different surrogate models are derived investigating the number of hidden layers and parameters. A multiple stripe analysis is then performed on a nonlinear model of the structure, deriving the set of data for the ANN. Different training and test subsets are used to derive the surrogate model. Finally, a Monte Carlo simulation is performed to derive the fragility curves for the limit state considered. Finally, the risk assessment is obtained, evaluating the mean annual rate of failure of the NSC.
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Asgarian, Behrouz, Mohammad Amin Assareh, and Pejman Alanjari. "Nonlinear Behavior of Single Piles in Jacket Type Offshore Platforms Using Incremental Dynamic Analysis." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57148.

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Offshore platforms are some of those structures which are built to withstand environmental and accidental loads during oil exploitation operation. One of the most usual types of these platforms is the Jacket Type Offshore Platform (JTOP) which can be divided into three important parts, which are Deck, Jacket, and piles. In order to increase the safety, particular attention should be paid to earthquake excitations which are directly applied to the piles of these structures. Nonlinearity in piles and buckling of the struts are important issues which have to be considered by the designers of offshore platforms. Incremental Dynamic Analysis (IDA) is a powerful tool to assess the capacity of a structure upon seismic loads. In this paper incremental dynamic analysis has been implemented on single piles considering soil-pile interactions and free field site response. The use of nonlinear materials and lateral load resisting elements in the incremental dynamic analysis done in this paper has made it possible to get promising insights for incorporation of appropriate limit states and applications of performance based engineering. Special Engineering Demand Parameters (EDP) and Intensity Measures (IM) have been introduced for the single pile dynamic analysis in jacket type offshore platforms.
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