Relevant bibliographies by topics / Seismic Input

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Seismic Input'

Author: Grafiati
Published: 1 April 2023

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Journal articles on the topic "Seismic Input"

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Denney, Dennis. "Broadband Seismic: Ultimate Input for Quantitative Seismic Interpretation." Journal of Petroleum Technology 65, no. 03 (March 1, 2013): 154–56. http://dx.doi.org/10.2118/0313-0154-jpt.

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Uzdin, A. M., G. V. Sorokina, and Kh Kh Kurbanov. "A simple seismic input model for estimating the seismic resistance of structures." Journal of Physics: Conference Series 2131, no. 3 (December 1, 2021): 032010. http://dx.doi.org/10.1088/1742-6596/2131/3/032010.

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Abstract The paper formulates the principles for shaping the design input, in particularly that the design input is not required to be similarto the real input. It is suggested that the seismic input should be set as a sinusoidal segment. This requires that the sinusoid be hazardous to the structure and causes it to reach the same limit state as a real earthquake. The amplitude of the sine wave is set equal to the average value of the peak boosts. The frequency of the exposure is set as dangerous for the structure to be designed and the duration is set according to the frequency of the exposure. The proposed seismic modelling approach makes it possible to assess the potential for progressive collapse and low-cycle fatigue of the designed structure. The model is based on statistical data on past earthquakes to estimate the average level of peak accelerations and the correlation between the prevailing period and the duration of the seismic event. The proposed input model greatly simplifies the computational assessment of seismic stability and the modeling of inputs on the seismic platform.
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Liu, Yue Wei, and Yang Zhou. "Seismic Rotations and Rotational Seismic Input for Building Design." Applied Mechanics and Materials 405-408 (September 2013): 1953–56. http://dx.doi.org/10.4028/www.scientific.net/amm.405-408.1953.

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The rotational seismic inputs for building design were discussed. The free ground rotations and the relation between free ground rotations and basement rotations were derived. The results show that the relation depends on the basement size, site and seismic frequency. For most building, the differences between the free ground rotations and the basement rotations are small. The suggestion is that for tall buildings the free ground rotations can be taken as the seismic input, but for low-rise building with large basement, the response spectra in short period region should be reduced.
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Xu, Yang, Jun Zhao, Xiao Yan Xu, and Dan Zhu. "Response Spectrum Analysis of a Large-Span Hangar Subjected to Multi-Dimensional Seismic Inputs." Advanced Materials Research 639-640 (January 2013): 906–10. http://dx.doi.org/10.4028/www.scientific.net/amr.639-640.906.

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The multi-dimensional seismic response of a single-span hangar was studied by response spectrum analysis method. The lateral displacements of the structure, forces of its supporting columns and its roof structure were calculated and compared with each other for cases of one-, two- and three-dimensional (1D, 2D and 3D) seismic inputs. The results show that, compared with the case of 1D earthquake input, the effects of horizontally 2D earthquake inputs on the internal forces and displacements of its supporting columns in the primary direction of input are obvious when it is along the symmetrical axis of the hangar and their effects in the secondary direction of input are even more important which results in great increases of the internal forces and displacements in that direction. The vertical seismic input has almost no effect on the internal forces and displacements of columns. The internal forces in different parts of the roof structure are controlled by horizontal or vertical inputs, respectively, and, compared with those from horizontally or vertically 1D inputs, the responses from 3D inputs are increased and the effects should be considered in seismic design.
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Uzdin, Alexander, and Sergei Prokopovich. "Some principles of generating seismic input for calculating structures." E3S Web of Conferences 157 (2020): 06021. http://dx.doi.org/10.1051/e3sconf/202015706021.

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In this paper different models of seismic input are analyzed. The most essential characteristics of seismic effects are peak ground acceleration, peak ground velocity, peak ground displacement, Arias intensity, cumulative absolute velocity, seismic energy density, harmonic coefficient κ, pseudo spectral kinematic characteristics, root-mean-square peak kinematic characteristics, plastic forces work and damage spectrum. The influence of seismic impulse on characteristics of seismic input is studied. A.A. Dolgaya’s and L.N. Dmitrovskaya’s models with seismic impulse are compared. L.N. Dmitrovskaya’s model allows to reach estimated values of energy characteristics of seismic input with the smallest deviation. When generating such processes, it is important to take into account both the properties of real actions and the limiting state of the calculated structure. The considered models of seismic inputs should be applied in the following cases: a) in case of designing mass construction projects when it is not possible to get a package of design accelerograms, b) in typical designing when the design object can be located on sites with different seismic and geological conditions, c) at early stages of designing important objects when the package of design accelerograms is not available yet but it is necessary to make technical solutions.
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Sari, Anggun Mayang, and Afnindar Fakhrurrozi. "SEISMIC HAZARD MICROZONATION BASED ON PROBABILITY SEISMIC HAZARD ANALYSIS IN BANDUNG BASIN." RISET Geologi dan Pertambangan 30, no. 2 (December 30, 2020): 215. http://dx.doi.org/10.14203/risetgeotam2020.v30.1138.

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The geological and seismic-tectonic setting in the Bandung Basin area proliferates the seismicity risk. Thus, it is necessary to investigate the seismic hazards caused by the foremost seismic source that affects the ground motions in the bedrock. This research employed Probability Seismic Hazard Analysis (PSHA) method to determine the peak ground acceleration value. It considers the source of the earthquakes in the radius of 500 km with a return period of 2500 years. The analysis results showed that the Peak Ground Acceleration (PGA) in this region varies from 0.46 g to 0.70 g. It correlates with the magnitude and hypocentre of the dominant earthquake source of the study locations. The PGA value on the bedrock was used as an input to develop the seismic hazard microzonation map. It was composed using the Geographic Information System (GIS) to visualise the result. This research provides a scientific foundation for constructing residential buildings and infrastructure, particularly as earthquake loads in the building structure design calculations. ABSTRACT - Mikrozonasi Bahaya Seismik Berdasarkan Probability Seismic Hazard Analysis di Cekungan Bandung. Kondisi geologi dan seismik-tektonik di Cekungan Bandung meningkatkan risiko kegempaan di wilayah tersebut. Oleh karena itu, perlu dilakukan penelitian tentang bahaya seismik yang disebabkan oleh sumber-sumber gempa di sekitarnya yang mempengaruhi gelombang gempa di batuan dasar. Penelitian ini menggunakan metode Probability Seismic Hazard Analysis (PSHA) untuk menentukan nilai percepatan gelombang gempa di batuan dasar. Lebih lanjut penelitian ini menggunakan sumber gempa dalam radius 500 km dengan periode perulangan 2500 tahun. Hasil analisis menunjukkan bahwa Peak Ground Acceleration (PGA) di wilayah ini bervariasi dari 0,46 g hingga 0,70 g. Hal ini berkorelasi dengan magnitudo dan jarak hiposenter sumber gempa dominan terhadap lokasi penelitian. Nilai PGA di batuan dasar digunakan sebagai input data dalam pembuatan peta mikrozonasi bahaya seismik. Peta mikrozonasi bahaya seismik disusun dan divisualisasikan menggunakan Sistem Informasi Geografis (SIG). Luaran penelitian ini menghasilkan landasan ilmiah pada konstruksi bangunan tempat tinggal dan infrastruktur, khususnya sebagai pembebanan gempa dalam perhitungan desain struktur bangunan.
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Panza, G. F., F. Vaccari, G. Costa, P. Suhadolc, and D. Fäh. "Seismic Input Modelling for Zoning and Microzoning." Earthquake Spectra 12, no. 3 (August 1996): 529–66. http://dx.doi.org/10.1193/1.1585896.

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The strong influence of lateral heterogeneities and of source properties on the spatial distribution of ground motion indicates that the traditional methods require an alternative when earthquake records are not available. The computation of broadband synthetic seismograms makes it possible, as required by a realistic modelling, to take source and propagation effects into account, fully utilizing the large amount of geological, geophysical and geotechnical data, already available. For recent earthquakes, where strong motion observations are available, it is possible to validate the modelling by comparing the synthetic seismograms with the experimental records. The realistic modelling of the seismic input has been applied to a first-order seismic zoning of the whole territory of several countries. Even though it falls in the domain of the deterministic approaches, the method is suitable to be used in new integrated procedures which combine probabilistic and deterministic approaches and allow us to minimize the present drawbacks which characterise them when they are considered separately. Detailed modelling of the ground motion for realistic heterogeneous media (up to 10 Hz) can be immediately used in the design of new seismo-resistant constructions and in the reinforcement of existing buildings, without having to wait for a strong earthquake to occur. The discrepancies between the ground responses computed with standard methods and the results of our detailed modelling cannot be ignored when formulating building codes and retrofitting the built environment.
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Shargh, Ghasem Boshrouei, and Reza Barati. "Estimation of inelastic seismic input energy." Soil Dynamics and Earthquake Engineering 142 (March 2021): 106505. http://dx.doi.org/10.1016/j.soildyn.2020.106505.

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Eguchi, Ronald T. "Seismic hazard input for lifeline systems." Structural Safety 10, no. 1-3 (May 1991): 193–98. http://dx.doi.org/10.1016/0167-4730(91)90014-z.

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Langer, H. "Input parameters for estimating seismic loading." Natural Hazards 3, no. 2 (1990): 125–39. http://dx.doi.org/10.1007/bf00140427.

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Dissertations / Theses on the topic "Seismic Input"

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Isbiliroglu, Levent. "Strategy for Selecting Input Ground Motion for Structural Seismic Demand Analysis." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAU009/document.

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Les signaux accélérométriques enregistrés lors de l’occurrence d’un événement sismique est très large présentent une forte variabilité, par conséquent ils ne sont pas utilisé dans les analyse dynamiques de tenue sismique des structures. En effet, l’utilisation des accélérogrammes réels, pour les analyses dynamiques non linéaires, s’avère couteuse en termes de temps de calcul. La pratique courante prévoit la minimisation (voir suppression) de telle variabilité, mais les conséquences d’une telle opération sur la réponse des structures ne sont pas clairement indiquées. L’étude ci-présente a pour scope la quantification de l’impact des méthodes de sélection qui gardent la variabilité du signal sur les résultats de l’analyse de la réponse des structures (exprimée en termes d’engineering demand parameters EDPs). En particulier les questions suivantes seront investiguées :Quel est le niveau de variabilité des accélérogrammes réels et comment ce niveau est modifié par les techniques couramment utilisées ?Quelle est l’impact de la variabilité sur la réponse de plusieurs types de structures ?Pour un scénario sismique donné, un spectre cible est défini à partir de plusieurs équation de prédiction du mouvement sismique, sélection parmi celles disponibles en littérature. Les accélérogrammes sont sélectionnés à partir de quatre familles d’accélérogrammes, chacune relative à une méthode de modification : réels (enregistrés); mise à l’échelle (multiplication, par un facteur) ; calés aux spectres cibles avec large tolérance ; calés aux spectres cibles dans une plage de tolérance étroite.Chaque jeu de signaux est composé de cinq accélérogrammes et la sélection des signaux est faite en tenant compte de deux sources de variabilité : la variabilité au sein de chaque jeu de données (intraset), et la variabilité entre les différents jeux de données (interset) tous compatibles avec le même spectre cible. Les tests sur les EDPs menés sur les signaux accélérométriques réels mènent à la quantification de la variabilité naturelle (pour le scénario considéré). Les analyses basées sur les signaux réels sont utilisés comme benchmark afin d’évaluer non seulement de combien la distribution des EDPs (en termes de valeur moyenne et variabilité) est réduite par les différentes méthodes testées, mais aussi d’évaluer l’impact des choix de l’équation de prédiction du mouvement, des plages de tolérance, du nombre d’accélérogrammes constituant chaque jeu, du nombre de jeux, de le scope de l’analyse structurale et le modèle de structure.Ce travaille nous conduit à conclure que un seul jeu d’accélérogramme, tel qu’utilisé dans la pratique courante, est insuffisant pour assurer le niveau d’EDPs indépendamment de la méthode de modification utilisés, cela est lié à la variabilité des signaux et entre les jeux d’accélérogrammes. Les signaux réels, compatibles avec le spectre définis pour le scénario sismique, are l’option plus réaliste pour l’analyse dynamique non-linéaire ; si une méthode de modification du signal est nécessaire, la plus adaptées dépend du scope de l’analyse spectrale et du modèle. Le choix de l’équation de prédiction du mouvement sismique utilisée pour définir le spectre cible impacte significativement les caractéristiques des mouvements sismiques et des EDPs. Cette observation ne dépend pas de la stratégie de de modification du signal
The observed variability is very large among natural earthquake records, which are not consolidated in the engineering applications due to the cost and the duration. In the current practice with the nonlinear dynamic analysis, the input variability is minimized, yet without clear indications of its consequences on the output seismic behavior of structures. The study, herein, aims at quantifying the impact of ground motion selection with large variability on the distribution of engineering demand parameters (EDPs) by investigating the following questions:What is the level of variability in natural and modified ground motions?What is the impact of input variability on the EDPs of various structural types?For a given earthquake scenario, target spectra are defined by ground motion prediction equations (GMPEs). Four ground motion modification and selection methods such as (1) the unscaled earthquake records, (2) the linearly scaled real records, (3) the loosely matched spectrum waveforms, and (4) the tightly matched waveforms are utilized. The tests on the EDPs are performed on a record basis to quantify the natural variability in unscaled earthquake records and the relative changes triggered by the ground motion modifications.Each dataset is composed by five accelerograms; the response spectrum compatible selection is then performed by considering the impact of set variability. The intraset variability relates to the spectral amplitude dispersion in a given set, and the interset variability relates to the existence of multiple sets compatible with the target.The tests on the EDPs are performed on a record basis to quantify the natural variability in unscaled earthquake records and the relative changes triggered by the ground motion modifications. The distributions of EDPs obtained by the modified ground motions are compared to the observed distribution by the unscaled earthquake records as a function of ground motion prediction equations, objective of structural analysis, and structural models.This thesis demonstrates that a single ground motion set, commonly used in the practice, is not sufficient to obtain an assuring level of the EDPs regardless of the GMSM methods, which is due to the record and set variability. The unscaled real records compatible with the scenario are discussed to be the most realistic option to use in the nonlinear dynamic analyses, and the ‘best’ ground motion modification method is demonstrated to be based on the EDP, the objective of the seismic analysis, and the structural model. It is pointed out that the choice of a GMPE can provoke significant differences in the ground motion characteristics and the EDPs, and it can overshadow the differences in the EDPs obtained by the GMSM methods
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Chapman, Martin Colby. "Disaggregated Seismic Hazard and the Elastic Input Energy Spectrum: An Approach to Design Earthquake Selection." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30636.

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The design earthquake selection problem is fundamentally probabilistic. Disaggregation of a probabilistic model of the seismic hazard offers a rational and objective approach that can identify the most likely earthquake scenario(s) contributing to hazard. An ensemble of time series can be selected on the basis of the modal earthquakes derived from the disaggregation. This gives a useful time-domain realization of the seismic hazard, to the extent that a single motion parameter captures the important time-domain characteristics. A possible limitation to this approach arises because most currently available motion prediction models for peak ground motion or oscillator response are essentially independent of duration, and modal events derived using the peak motions for the analysis may not represent the optimal characterization of the hazard. The elastic input energy spectrum is an alternative to the elastic response spectrum for these types of analyses. The input energy combines the elements of amplitude and duration into a single parameter description of the ground motion that can be readily incorporated into standard probabilistic seismic hazard analysis methodology. This use of the elastic input energy spectrum is examined. Regression analysis is performed using strong motion data from Western North America and consistent data processing procedures for both the absolute input energy equivalent velocity, (Vea), and the elastic pseudo-relative velocity response (PSV) in the frequency range 0.5 to 10 Hz. The results show that the two parameters can be successfully fit with identical functional forms. The dependence of Vea and PSV upon (NEHRP) site classification is virtually identical. The variance of Vea is uniformly less than that of PSV, indicating that Vea can be predicted with slightly less uncertainty as a function of magnitude, distance and site classification. The effects of site class are important at frequencies less than a few Hertz. The regression modeling does not resolve significant effects due to site class at frequencies greater than approximately 5 Hz. Disaggregation of general seismic hazard models using Vea indicates that the modal magnitudes for the higher frequency oscillators tend to be larger, and vary less with oscillator frequency, than those derived using PSV. Insofar as the elastic input energy may be a better parameter for quantifying the damage potential of ground motion, its use in probabilistic seismic hazard analysis could provide an improved means for selecting earthquake scenarios and establishing design earthquakes for many types of engineering analyses.
Ph. D.
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Matevosian, Armond. "Hybrid adaptive feedforward control of structures to seismic inputs." Thesis, Virginia Tech, 1996. http://hdl.handle.net/10919/44969.

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The key conclusions of this research are: 1. The EFXLMS algorithm demonstrated superior performance than the FXLMS algorithm during fast adaptive processes, in particular for non-stationary inputs. 2. Good attenuation of the peak. and root-mean-square (rms) values of the structural responses using the hybrid control system were observed for most of the real accelerograms. It was also observed that the hybrid control system always improved the performance of the passive control system. 3. Peak. structural responses during sensor failures were observed to increase, in particular for the failure of the first error sensor. However, the peak. responses during these failures never reached the peak. values obtained by the system with passive control. This demonstrated the ability of the control system to contain the structural responses in light of the error sensor failures. 4. Peak. structural responses during control actuator failures were also observed to increase, in particular for the failure of the fIrst control actuator ADVAI. However, the peak. responses during these failures again never reached the peak. values obtained by the system using passive control. This demonstrated the ability of the control system to contain the structural responses in light of the control actuator failures. 5. The use of the adaptive control showed greater attenuation of the structural responses than that observed using the non-adaptive system. This demonstrated that the adaptive control system corrected for uncertainties and errors in the modeling process.
Master of Science
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Nowak, Paul Scott. "Effect of nonuniform seismic input on arch dams." Thesis, 1989. https://thesis.library.caltech.edu/7830/8/Nowak_ps_1989.pdf.

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Standard earthquake analyses of civil engineering structures use uniform ground motions even though considerable variations in both amplitude and phase can occur along the foundation interface for long-span bridges and large dams. The objective of this thesis is to quantify the effect that these nonuniformities have on the structural response.

The nonuniform, free-field motions of the foundation interface are assumed to be caused by incident plane body waves. The medium in which these waves travel is a linear, elastic half-space containing a canyon of uniform cross section in which the structure is placed. The solutions for the free-field motions that are due to incident SH, P and SV waves are calculated using the boundary element method.

An analysis of Pacoima (arch) dam located near Los Angeles, California, is performed for both uniform and nonuniform excitations. The important effect of nonuniformities in the free-field motions, sometimes leading to a decrease in the dam response and sometimes to an increase, is quantified.

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Sanaie-Fard, Ali. "A probabilistic approach for seismic risk assessment with uncertain input parameters." Thesis, 2002. http://hdl.handle.net/2429/13427.

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The main objective of this thesis is the development of a procedure for analyzing the seismic reliability of a structure considering uncertainties in the factors affecting its performance. These uncertainties stem from different earthquakes records, from structural mass distributions, foundation characteristics, and the probabilistic nature of strength of materials. The method refers to building a database for the response of the structure for a range of uncertain parameters. This is then used in a reliability analysis to estimate the probability of failure of the structure in a given failure criterion. The software for the nonlinear dynamic analysis of structure was CANNY and the reliability software was RELAN.
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Kottke, Albert R. (Albert Richard). "Impact of input ground motions and site variability on seismic site response." Thesis, 2006. http://hdl.handle.net/2152/30468.

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Seismic site response analysis allows an engineer to assess the effect of local soil conditions on the ground motions expected during an earthquake. In seismic site response analysis, an input ground motion on rock is propagated through a site specific soil column. The computed response at the surface is dependent on both the input ground motion and the soil properties that characterize the site. However, there is uncertainty in both the input ground motion and the soil properties, as well as natural variability in the soil properties across a site. To account for the uncertainty in the input ground motions, engineers use a suite of motions that are selected and scaled to fit a scenario input motion. This study introduces a semi-automated method to select and scale the input motions to fit a target input motion and its variability. The proposed method is intended to replace tedious trials of combinations by hand with combinations performed by a computer. However, as in the traditional selection methods, the final selection of the combination is done by the engineer.The effect of the selected ground motion combination on the computed surface response spectrum from the site response analysis, and its variability, was investigated in this study. The results show by using a combination with as few as five motions, the median surface response spectrum can be predicted with an error of 10%. Additionally, the manner used to scale the input motions does not impact the accuracy of the median surface response spectrum, as long as the median response spectrum of the input combination agrees with the target input response spectrum. However, if the standard deviation of the surface response spectrum is to be considered (e.g., to develop median plus one standard deviation spectra), a input combination of at least 20 motions is recommended and the combination must be scaled such that the standard deviation of the input combination matches the standard deviation of the input target spectrum. Monte Carlo simulations were used to assess the impact of soil property variability on surface spectra computed by seismic site response. The results from this study indicate that by accounting for the variability of the shear-wave velocity profile of a site can cause a significant decrease in the median surface response spectrum, as well as a slight increase in the standard deviation of the surface response spectrum at periods less than the site period. By considering the variability of the nonlinear properties (shear modulus reduction and damping ratio) the median response spectrum decreased only slightly, but the standard deviation increased in a manner similar to the increase observed when considering the variability of the shear-wave velocity profile. Simultaneously considering the variability of the shear-wave velocity profile and nonlinear properties resulted in a median surface response spectrumsimilar to the median surface response spectrumcomputed with considering the variability of the shear-wave velocity alone. However, the standard deviation of the surface response spectrum was larger than the standard deviation computed by independent consideration of the variability of the shear-wave velocity or nonlinear properties.
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Books on the topic "Seismic Input"

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Sewell, R. T. Ground motion input in seismic evaluation studies: Impacts of artificial time history input on in-structure demand spectra. Washington, DC: Division of Engineering Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1996.

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Wu, S. C. Ground motion input in seismic evaluation studies: Impacts on risk assessment of uniform hazard spectra. Washington, DC: The Commission, 1996.

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IAEA. Non-Linear Response to a Type of Seismic Input Motion. International Atomic Energy Agency, 2011.

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Book chapters on the topic "Seismic Input"

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Cimellaro, Gian Paolo, and Sebastiano Marasco. "Seismic Input." In Introduction to Dynamics of Structures and Earthquake Engineering, 281–307. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72541-3_12.

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Yoshida, Nozomu. "Input Earthquake Motions." In Seismic Ground Response Analysis, 31–43. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9460-2_3.

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Michele Calvi, G., Daniela Rodrigues, and Vitor Silva. "A Redefinition of Seismic Input for Design and Assessment." In Recent Advances in Earthquake Engineering in Europe, 69–100. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75741-4_3.

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Horoz, Burak, Cem Yalçın, and Ercan Yüksel. "Determination of Input Energy Profile in Structures Through Seismic Interferometry." In Gulf Conference on Sustainable Built Environment, 269–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39734-0_16.

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Kouteva-Guentcheva, Mihaela, and Giuliano F. Panza. "NDSHA—A Reliable Modern Approach for Alternative Seismic Input Modelling." In Lecture Notes in Civil Engineering, 85–101. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73932-4_7.

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Shreyasvi, C., N. Badira Rahmath, and Katta Venkataramana. "Influence of Variabilities of Input Parameters on Seismic Site Response Analysis." In Lecture Notes in Civil Engineering, 233–44. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0890-5_20.

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Vaccari, Franco. "A Web Application Prototype for the Multiscale Modelling of Seismic Input." In Earthquakes and Their Impact on Society, 563–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21753-6_23.

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ElGabry, Mohamed, and Hany M. Hassan. "Updated Seismic Input for Next Generation of the Egyptian Building Code." In Sustainable Civil Infrastructures, 55–79. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62586-3_5.

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Jablonski, A. M., and J. H. Rainer. "Effect of seismic input on hydrodynamic forces acting on gravity dams." In Earthquake Engineering, edited by Shamim A. Sheikh and S. M. Uzumeri, 157–64. Toronto: University of Toronto Press, 1991. http://dx.doi.org/10.3138/9781487583217-021.

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Falborski, Tomasz. "Evaluation of Foundation Input Motions Based on Kinematic Interaction Models." In Seismic Behaviour and Design of Irregular and Complex Civil Structures III, 11–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33532-8_2.

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Conference papers on the topic "Seismic Input"

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Floros, Goulielmos. "Enhancing a Built Asset’s Operations for Seismic Excitations: An Integration of Machine Learning & BIM." In Design Computation Input/Output 2021. Design Computation, 2021. http://dx.doi.org/10.47330/dcio.2021.cuux3225.

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Reiser, Cyrille, Euan Anderson, and Yermek Balabekov. "Broadband Seismic: The Ultimate Input for Quantitative Seismic Interpretation?" In North Africa Technical Conference and Exhibition. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/150821-ms.

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Lavorato, Davide, Alessandro Vittorio Bergami, Carlo Rago, Hai-Bin Ma, Camillo Nuti, Ivo Vanzi, Bruno Briseghella, and Wei-Dong Zhou. "SEISMIC BEHAVIOUR OF ISOLATED RC BRIDGES SUBJECTED TO ASYNCHRONOUS SEISMIC INPUT." 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/10.7712/120117.5561.18104.

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Rivera-Figueroa, Alan, and Luis A. Montejo. "Evaluation of Spectrum Compatible Bidirectional Seismic Input." In IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2022. http://dx.doi.org/10.2749/prague.2022.0654.

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<p>We investigate 4 methodologies to generate sets of horizontal ground motion components compatible with a target RotD100 spectrum, including amplitude-scaling and different spectral- matching approaches. The sets generated are used as seismic input to bidirectional inelastic time history analyses of circular cross-section reinforced concrete single column piers. It is shown that the traditional approach of separately matching each horizontal component to the target RotD100 generate peak inelastic and total strain energy demands that are substantially larger than the demands imposed by sets of amplitude-scaled records. However, the sets generated by simultaneously modifying both components to direct match RotD100 provoked mean peak inelastic responses closer to the amplitude-scaled sets while reducing the variability in the estimates.</p>
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Zanoli, O., C. Smerzini, and E. J. Parker. "Vertical Input for Seismic Analysis of Offshore Structures." In Offshore Technology Conference. Offshore Technology Conference, 2016. http://dx.doi.org/10.4043/27140-ms.

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Laake, A., and M. Francis. "Seismic Input for Prospect Maturation and Trap Risking." In 81st EAGE Conference and Exhibition 2019. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201900725.

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Rinaldis, D., and P. Clemente. "Seismic input characterization for some sites in Italy." In ERES 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/eres130021.

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Reiser, Cyrille, Euan Anderson, Yermek Balabekov, and Folke Engelmark. "Broadband seismic: The ultimate input for quantitative interpretation?" In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627560.

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Pianigiani, Maria, Valentina Mariani, Marco Tanganelli, and Stefania Viti. "THE EFFECTS OF THE SEISMIC INPUT ON THE SEISMIC RESPONSE OF RC BUILDINGS." In 5th 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, 2015. http://dx.doi.org/10.7712/120115.3682.602.

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Zhao, Tao, Fangyu Li, and Kurt Marfurt. "Automated input attribute weighting for unsupervised seismic facies analysis." In SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/segam2017-17740318.1.

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Reports on the topic "Seismic Input"

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Sewell, R. T., and S. C. Wu. Ground motion input in seismic evaluation studies. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/286264.

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O'Connell, W. J. Sensitivity of piping seismic responses to input factors. Office of Scientific and Technical Information (OSTI), May 1985. http://dx.doi.org/10.2172/6236144.

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Allen, T. I., J. Griffin, and D. Clark. The 2018 National Seismic Hazard Assessment for Australia: model input files. Geoscience Australia, 2019. http://dx.doi.org/10.11636/record.2018.032.

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Kolaj, M., S. Halchuk, and J. Adams. Sixth Generation seismic hazard model of Canada: final input files used to generate the 2020 National Building Code of Canada seismic hazard values. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331387.

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The enclosed files provide OpenQuake compatible input files to reproduce the 6th Generation Seismic Hazard Model of Canada (CanadaSHM6) as used to produce the seismic hazard values for the 2020 edition of the National Building Code of Canada (NBCC 2020). Example hazard values at selected localities are included, in order for other users to verify that the model has been implemented as we intended. This report contains minimal technical information on CanadaSHM6; complete documentation will be released as a separate Open File. This report supersedes Open File 8630, and the values derived from the model and the online seismic hazard tool described herein supersede the trial values provided in Open File 8629.
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Wu, S. C., and R. T. Sewell. Ground motion input in seismic evaluation studies: impacts on risk assessment of uniform hazard spectra. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/285223.

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Todd, B. J., C. F. M. Lewis, and G. D. Hobson. Resurrection of 1967 single-channel seismic reflection data and isopach map of sediments in central and eastern Lake Erie, Ontario, Canada, and Ohio, Pennsylvania, and New York, U.S.A. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331498.

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In the Laurentian Great Lakes, the seismostratigraphy revealed by legacy seismic reflection profiles (i.e., analogue paper records) provides insight to the history of glaciation and deglaciation, sediment deposition and lake level history. Digital recovery and analysis of Great Lakes legacy seismic data is a cost-effective method to generate the offshore broad scale surfaces pertinent to the surficial framework geology layer required as input by three-dimensional stratigraphic studies. This Open File describes the digital recovery of 1566 km of recently discovered single channel seismic reflection data collected in central and eastern Lake Erie in the summer of 1967. A legacy isopach map of sediment thickness, based on the 1967 data, has also been resurrected.
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Halchuk, S., T. I. Allen, J. Adams, and G. C. Rogers. Fifth generation seismic hazard model input files as proposed to produce values for the 2015 national building code of Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2014. http://dx.doi.org/10.4095/293907.

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Kolaj, M., S. Halchuk, J. Adams, and T. I. Allen. Sixth Generation Seismic Hazard Model of Canada: input files to produce values proposed for the 2020 National Building Code of Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/327322.

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DIXON PAUL. DEVELOPMENT OF EARTHQUAKE GROUND MOTION INPUT FOR PRECLOSURE SEISMIC DESIGN AND POSTCLOSURE PERFORMANCE ASSESSMENT OF A GEOLOGIC REPOSITORY AT YUCCA MOUNTAIN, NV. Office of Scientific and Technical Information (OSTI), November 2005. http://dx.doi.org/10.2172/882868.

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I. Wong. Development of Earthquake Ground Motion Input for Preclosure Seismic Design and Postclosure Performance Assessment of a Geologic Repository at Yucca Mountain, NV. Office of Scientific and Technical Information (OSTI), November 2004. http://dx.doi.org/10.2172/837491.

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