Bibliographies thématiques / HVSR (Horizontal to Vertical Spectral Ratio)

Littérature scientifique sur le sujet « HVSR (Horizontal to Vertical Spectral Ratio) »

Auteur : Grafiati

Publié le 10 mars 2023

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Articles de revues sur le sujet "HVSR (Horizontal to Vertical Spectral Ratio)"

Bahavar, Manochehr, Zack J. Spica, Francisco J. Sánchez-Sesma, Chad Trabant, Arash Zandieh et Gabriel Toro. « Horizontal-to-Vertical Spectral Ratio (HVSR) IRIS Station Toolbox ». Seismological Research Letters 91, n^o 6 (19 août 2020) : 3539–49. http://dx.doi.org/10.1785/0220200047.

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Abstract The horizontal-to-vertical spectral ratio (HVSR) for seismic ambient noise is a popular method that can be used to estimate the predominant frequency at a given site. In this article, we introduce the Incorporated Research Institutions for Seismology (IRIS) Data Management Center’s (DMC’s) openly available HVSR station toolbox. These tools offer a variety of ways to compute the spectral ratio by providing different averaging routines. The options range from the simple average of spectral ratios to the ratio of spectral averages. Computations take advantage of the available power spectral density estimates of ambient noise for the seismic stations, and they can be used to estimate the predominant frequency of the many three-component seismic stations available from the IRIS DMC. Furthermore, to facilitate the identification of the peaks in HVSR profiles for the assessment of the predominant frequency of station sites, the toolbox can also process the results of HVSR analysis to detect and rank HVSR peaks. To highlight the toolbox capabilities, three different examples of possible use of this toolbox for routine site-effect analysis are discussed: (1) site effects related to thawing in Arctic regions, (2) ground-motion amplification in urban area, and (3) estimation of station VS30.

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Neukirch, Maik, Antonio García-Jerez, Antonio Villaseñor, Francisco Luzón, Mario Ruiz et Luis Molina. « Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform ». Sensors 21, n^o 9 (10 mai 2021) : 3292. http://dx.doi.org/10.3390/s21093292.

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The Horizontal-to-Vertical Spectral Ratio (HVSR) of ambient vibration measurements is a common tool to explore near surface shear wave velocity (Vs) structure. HVSR is often applied for earthquake risk assessments and civil engineering projects. Ambient vibration signal originates from the combination of a multitude of natural and man-made sources. Ambient vibration sources can be any ground motion inducing phenomena, e.g., ocean waves, wind, industrial activity or road traffic, where each source does not need to be strictly stationary even during short times. Typically, the Fast Fourier Transform (FFT) is applied to obtain spectral information from the measured time series in order to estimate the HVSR, even though possible non-stationarity may bias the spectra and HVSR estimates. This problem can be alleviated by employing the Hilbert–Huang Transform (HHT) instead of FFT. Comparing 1D inversion results for FFT and HHT-based HVSR estimates from data measured at a well studied, urban, permanent station, we find that HHT-based inversion models may yield a lower data misfit χ2 by up to a factor of 25, a more appropriate Vs model according to available well-log lithology, and higher confidence in the achieved model.

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Mendecki, Maciej J., Barbara Bieta, Mateusz Mateuszów et Paweł Suszka. « Comparison of site effect values obtained by HVSR and HVSRN methods for single-station measurements in Tarnówek, South-Western Poland. » Contemporary Trends in Geoscience 5, n^o 1 (1 juin 2016) : 18–27. http://dx.doi.org/10.1515/ctg-2016-0002.

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Abstract This study compares the HVSR technique (Horizontal to Vertical Spectral Ratio), based on seismic event records, and the HVSRN technique (Horizontal to Vertical Spectral Ratio of Noise) using seismic noise registrations. Both methods allow us to study the amplification phenomenon of a horizontal component of seismic waves when the waves reach loose sediments in subsurface layers. The seismic data were measured at a three-component single seismic station located in the village of Tarnówek, in the Legnica-Głogów Copper District. The results of the study demonstrate that average HVSRN and HVSR maxima can be distinguished: for periods approximately 3.78 s (H/V = 6.2) and 3.969 s (H/V = 8.98) respectively. The evaluated share of the Rayleigh wave component in the recorded values was β = 0.58 and it can be suggested that the Love wave share in surface motion was insignificant. The Love wave share remains unknown.

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Wang, Pengfei, Paolo Zimmaro, Tristan E. Buckreis, Tatiana Gospe, Scott J. Brandenberg, Sean K. Ahdi, Alan Yong et Jonathan P. Stewart. « Relational Database for Horizontal-to-Vertical Spectral Ratios ». Seismological Research Letters 93, n^o 2A (29 décembre 2021) : 1075–88. http://dx.doi.org/10.1785/0220210128.

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Abstract Frequency-dependent horizontal-to-vertical spectral ratios (HVSRs) of Fourier amplitudes from three-component recordings can provide useful information for site response modeling. However, such information is not incorporated into most ground-motion models, including those from Next-Generation Attenuation projects, which instead use the time-averaged shear-wave velocity (VS) in the upper 30 m of the site and sediment depth terms. To facilitate utilization of HVSR, we developed a publicly accessible relational database. This database is adapted from a similar repository for VS data and provides microtremor-based HVSR data (mHVSR) and supporting metadata, but not parameters derived from the data. Users can interact with the data directly within a web portal that contains a graphical user interface (GUI) or through external tools that perform cloud-based computations. Within the database GUI, the median horizontal-component mHVSR can be plotted against frequency, with the mean and mean ± one standard deviation (representing variability across time windows) provided. Using external interactive tools (provided as a Jupyter Notebook and an R script), users can replot mHVSR (as in the database) or create polar plots. These tools can also derive parameters of potential interest for modeling purposes, including a binary variable indicating whether an mHVSR plot contains peaks, as well as the fitted properties of those peaks (frequencies, amplitudes, and widths). Metadata are also accessible, which includes site location, details about the instruments used to make the measurements, and data processing information related to windowing, antitrigger routines, and filtering.

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Mi, Binbin, Yue Hu, Jianghai Xia et Laura Valentina Socco. « Estimation of horizontal-to-vertical spectral ratios (ellipticity) of Rayleigh waves from multistation active-seismic records ». GEOPHYSICS 84, n^o 6 (1 novembre 2019) : EN81—EN92. http://dx.doi.org/10.1190/geo2018-0651.1.

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The horizontal-to-vertical spectral-ratio (HVSR) analysis of ambient noise recordings is a popular reconnaissance tool used worldwide for seismic microzonation and earthquake site characterization. We have expanded this single-station passive HVSR technique to active multicomponent data. We focus on the calculation of the HVSR of Rayleigh waves from active-seismic records. We separate different modes of Rayleigh waves in seismic dispersion spectra and then estimate the HVSR for the fundamental mode. The mode separation is implemented in the frequency-phase velocity ([Formula: see text]-[Formula: see text]) domain through the high-resolution linear Radon transformation. The estimated Rayleigh-wave HVSR curve after mode separation is consistent with the theoretical HVSR curve, which is computed by solving the Rayleigh-wave eigenproblem in the laterally homogeneous layered medium. We find that the HVSR peak and trough frequencies are very sensitive to velocity contrast and interface depth and that HVSR curves contain information on lateral velocity variations. Using synthetic and field data, we determine the validity of estimating active Rayleigh-wave HVSR after mode separation. Our approach can be a viable and more accurate alternative to the empirical HVSR analysis method and brings a novel approach for the analysis of active multicomponent seismic data.

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Pentaris, F. P. « A novel horizontal to vertical spectral ratio approach in a wired structural health monitoring system ». Journal of Sensors and Sensor Systems 3, n^o 2 (8 août 2014) : 145–65. http://dx.doi.org/10.5194/jsss-3-145-2014.

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Abstract. This work studies the effect ambient seismic noise can have on building constructions, in comparison with the traditional study of strong seismic motion in buildings, for the purpose of structural health monitoring. Traditionally, engineers have observed the effect of earthquakes on buildings by usage of seismometers at various levels. A new approach is proposed in which acceleration recordings of ambient seismic noise are used and horizontal to vertical spectra ratio (HVSR) process is applied, in order to determine the resonance frequency of movement due to excitation of the building from a strong seismic event. The HVSR technique is widely used by geophysicists to study the resonance frequency of sediments over bedrock, while its usage inside buildings is limited. This study applies the recordings inside two university buildings attached to each other, but with different construction materials and different years of construction. Also there is HVSR application in another much older building, with visible cracks in its structure. Sensors have been installed on every floor of the two university buildings, and recordings have been acquired both of ambient seismic noise and earthquakes. Resonance frequencies for every floor of every building are calculated, from both noise and earthquake records, using the HVSR technique for the ambient noise data and the receiver function (RF) for the earthquake data. Differential acceleration drift for every building is also calculated, and there is correlation with the vulnerability of the buildings. Results indicate that HVSR process on acceleration data proves to be an easy, fast, economical method for estimation of fundamental frequency of structures as well as an assessment method for building vulnerability estimation. Comparison between HVSR and RF technique shows an agreement at the change of resonance frequency as we move to higher floors.

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Iswanto, Eko Rudi, Yuni Indrawati et Theo Alvin Riyanto. « Studi Mikrotremor dengan Metode Horizontal to Vertical Spectral Ratio (HVSR) di Tapak RDE, Serpong ». EKSPLORIUM 40, n^o 2 (30 novembre 2019) : 105. http://dx.doi.org/10.17146/eksplorium.2019.40.2.5489.

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ABSTRAKBencana alam seperti kejadian gempa bumi dapat menyebabkan kerusakan pada area tapak dan infrastruktur termasuk fasilitas reaktor nuklir. Fenomena ini perlu dipahami secara komprehensif melalui catatan sejarah karakteristik dinamik tapak. Penggunaan mikrotremor dengan metode Horizontal to Vertical Spectral Ratio (HVSR) telah digunakan secara luas dalam investigasi bawah permukaan sejak satu dekade terakhir. Tujuan penelitian ini adalah mengetahui karakteristik geologi setempat dan karakteristik dinamis bawah permukaan. Penelitian ini mengaplikasikan penggunaan mikrotremor metode HVSR di tapak Reaktor Daya Eksperimental (RDE) di Serpong. Pengukuran dilakukan di 15 lokasi, kemudian data diolah dengan metode HVSR menggunakan perangkat lunak Geopsy. Hasil analisis menunjukkan bahwa Tapak RDE mempunyai nilai frekuensi dominan antara 3,06 Hz–23,27 Hz dan faktor amplifikasi 1,84–6,37. Bagian timur laut dan tenggara tapak memiliki indeks kerentanan seismik yang lebih tinggi dibandingkan dengan bagian lainnya. Oleh karena itu, pilihan lokasi gedung reaktor di area barat daya sudah tepat kerena memiliki faktor amplifikasi, ketebalan sedimen, dan indeks kerentanan seismik yang relatif rendah.ABSTRACTNatural disaster like earthquake can cause damage to the site and the infrastructure including nuclear reactor facilities. This phenomenon needs comprehensively understood through its dynamic characteristics historical records of the site. The use of Horizontal to Vertical Spectral Ratio (HVSR) method has been widely used for subsurface investigation since last decade. The aimed of the research is to obtain local geological and subsurface dynamic characetristics. This research is applying the use of HVSR method for Experimental Power Reactor (RDE) in Serpong. The measurements are in 15 locations, and then the data is processed by using Geopsy software. The analysis result shows that the RDE site has dominant frequncy values between 3.06 Hz–23.271 Hz and amplification factor 1.84–6.37. The northeast and southeast areas of the site have higher seismic vulnerability index than in other area. Therefore, the selection for reactor bulding location in the southwest area is proper because it has lower amplification factor, sedimen thickness, and seismic vulnerability index.

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Sedaghati, Farhad, Sahar Rahpeyma, Anooshiravan Ansari, Shahram Pezeshk, Mehdi Zare et Siamak Daneshvaran. « A study of horizontal-to-vertical component spectral ratio as a proxy for site classification in central Asia ». Geophysical Journal International 223, n^o 2 (12 août 2020) : 1355–77. http://dx.doi.org/10.1093/gji/ggaa370.

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SUMMARY Tien Shan of central Asia is known as one of the world's largest, youngest and most active intracontinental orogens. In this study, we implemented the horizontal-to-vertical spectral ratio (HVSR) technique as a widely used first-order approximation of the site effect parameters (i.e. fundamental frequency and site amplification). A set of data including 2119 strong-motion recordings from 468 earthquakes with hypocentral distances up to 500 km and small to moderate moment magnitudes ($ {M_{\rm{w}}}\sim $3.0–5.5) recorded by 24 broad-band stations from five different networks, located in Afghanistan, Tajikistan and Kyrgyzstan was deployed to investigate site-specific characteristics. We fitted a Gaussian-shape pulse function to evaluate fundamental frequencies and site amplifications. The HVSRs analysis revealed that although the majority of the stations (16 out of 24) show flat amplification functions, there are few stations with single sharp amplification functions. Then, we classified the stations based on the predominant frequency. Furthermore, we approximated the time-averaged shear wave velocity in the uppermost 30 m (${V_{{\rm{S}}30}}$) using the fundamental frequency and its corresponding amplitude. Moreover, we compared the HVSRs obtained from P waves, S waves, coda and pre-event noise. All peak frequencies including the fundamental frequency estimated from different seismic phases are in good agreement; whereas generally, the amplitude of the P-wave window is the lowest, the amplitudes of the S wave and noise windows are similar to the whole record and the amplitudes of early and late coda windows are the highest. We also observed that the HVSRs of noise using a 5 s window may have anomalous high amplitudes and peaks. These anomalous high amplitudes and peaks in the noise HVSRs indicate the existence of some unnatural sources or artefacts such as traffic and wind with specific resonance frequencies, suggesting 5 s ambient noise window is insufficient to capture site characteristics. Finally, to assess the reliability of the determined geotechnical results, we implemented a blind theoretical HVSR inversion to obtain representative shear wave velocity profiles as well as ${V_{{\rm{S}}30}}$ along with associated uncertainties for stations characterized by a single-peak HVSR curve using a Bayesian statistical framework.

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Picozzi, M. « Statistical Analysis of Noise Horizontal-to-Vertical Spectral Ratios (HVSR) ». Bulletin of the Seismological Society of America 95, n^o 5 (1 octobre 2005) : 1779–86. http://dx.doi.org/10.1785/0120040152.

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Chandler, Val W., et Richard S. Lively. « Utility of the horizontal-to-vertical spectral ratio passive seismic method for estimating thickness of Quaternary sediments in Minnesota and adjacent parts of Wisconsin ». Interpretation 4, n^o 3 (1 août 2016) : SH71—SH90. http://dx.doi.org/10.1190/int-2015-0212.1.

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Quaternary glacial and fluvial sediments in Minnesota and adjacent areas are a major source for groundwater, and they are important to many geologic investigations. Unfortunately, the thicknesses of these widespread sediments are often poorly known. The horizontal-to-vertical-spectral ratio (HVSR) passive seismic method is being increasingly used in the region to assist in mapping the thickness of these sediments and the topography of the underlying bedrock surface. HVSR results when control sites with known sediment thickness are used to derive calibration curves that in turn are used to estimate sediment thicknesses in areas lacking control. The HVSR method must be used with appropriate caution. Extreme variations in S-wave velocities of near-surface materials can complicate or even negate the use of calibration curves, and very irregular bedrock surfaces can produce weak, multipeak HVSR spectra that are difficult to interpret. Over soft bedrock, HVSR peaks may reflect intrabedrock features, and velocity contrasts within the glacial sequence can overwhelm HVSR bedrock signatures. Nonetheless, the HVSR method has proven a useful tool to investigate Quaternary geology and depth to bedrock in areas of the state where subsurface data are limited. Thickness estimate errors are usually less than 25%, which is adequate for many geologic applications. The addition of multilocation spectral profiles and cross sections anchored with bedrock control points has allowed us to use data with poor signal quality and to achieve good continuity away from control stations. HVSR methods provide a suitable and cheaper alternative to conventional seismic studies, and they help to target sites for Quaternary drilling programs, bedrock topography evaluation, and determining glacial sediment thickness for 3D mapping. In areas where conventional seismic profiling may be necessary, the HVSR method is useful in selecting and prioritizing targets. The HVSR method should have widespread application in the glaciated areas of the north-central midcontinent.

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Thèses sur le sujet "HVSR (Horizontal to Vertical Spectral Ratio)"

Goetz, Ryan P. Rosenblad Brent L. « Study of the horizontal-to-vertical spectral ratio (HVSR) method for characterization of deep soils in the Mississippi Embayment ». Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/5334.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on December 22, 2009). Thesis advisor: Dr. Brent L. Rosenblad. Includes bibliographical references.

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Sun, Jikai. « Simulation of Strong Ground Motions in Mashiki Town, Kumamoto, Based on the Seismic Response Analysis of Soils and the Dynamic Rupture Modeling of Sources ». Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263649.

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Ullah, Irfan. « Caracterização da subsuperfície rasa através da curva da razão espectral H/V e da inversão conjunta das curvas de dispersão e elipticidade ». Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/14/14132/tde-04062018-101840/.

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A destruição causada por um terremoto depende de muitos fatores, como características e profundidade da fonte, magnitude, distância epicentral e da configuração geológica da área. A destruição causada devido à configuração geológica da área é denominada como efeito local. A modelagem do efeito local implica na determinação do tempo e nível de vibração e do efeito de amplificação do deslocamento. As propriedades elásticas dos materiais geológicos (velocidade das ondas de compressão e de cisalhamento, densidade, espessura da camada de solo, etc.) podem ser obtidas por diversos métodos geofísicos. O conhecimento dessas propriedades elásticas ajuda a melhor projetar as infraestruturas e reduzir as chances de danos. Este procedimento é denominado de microzoneamento. Os parâmetros mais importantes para realizar o microzoneamento são as espessuras dos sedimentos que recobrem o embasamento e o perfil das velocidades das ondas S (cisalhamento). Esses dois parâmetros são adequadamente caracterizados pelo uso de várias técnicas geofísicas como perfilagens em furos de sondagem, reflexão e refração sísmica. Esses métodos geofísicos trazem algumas restrições como a necessidade da execução de um furo, emprego de fontes sísmicas artificiais que muitas vezes são dispendiosas e por vezes de uso restrito em áreas urbanas, além de muitas vezes estarem limitadas a investigações de apenas algumas dezenas de metros. Os métodos que substituíram esses métodos geofísicos convencionais nas últimas décadas são a análise do ruído sísmico produzido por fontes naturais e culturais. Este ruído sísmico ambiental pode ser registrado com menor custo e esforço e com boa cobertura lateral. Várias técnicas que se utilizam do ruído sísmico podem ser empregadas, no entanto, aquela que obteve maior atenção nos últimos anos é a técnica da razão do espectro horizontal sobre o espectro vertical da onda de superfície (H/V). A curva da razão espectral H/V é uma ferramenta rápida, fácil e de baixo custo para a caracterização da subsuperfície rasa. Existem vários estudos realizados sobre o tema que tentaram cobrir todos os aspectos e problemas associados ao método. Aqui neste estudo são aprofundados alguns aspectos ainda não avaliados em detalhe. Diferentes procedimentos para a modelagem e as associações entre os fenômenos físicos envolvidos e as características da curva H/V são discutidos e os resultados numéricos desses estudos são comparados com informações extraídas de perfis de sondagens de um dos locais estudados. O pico e a forma da curva H / V são modelados para encontrar o desvio na frequência de pico a partir da frequência de ressonância da onda de cisalhamento considerando diferentes campos de onda em torno do pico, assim como sua relação com a forma dominante da curva. A frequência de pico das curvas H/V é utilizada para estimar a relação entre a frequência a espessura através de análise de regressão. O estudo mostra que a curva de dispersão obtida a partir de um ensaio MASW pode ser usada para estimar a velocidade da onda S a um metro de profundidade e sua tendência de aumento com a profundidade. Esses valores podem ser usados para estimar a relação frequência-espessura para uma área. Esses resultados são comparados com a relação frequência-espessura derivada experimentalmente para a mesma área. A sensibilidade da forma da curva H/V à estrutura de velocidade do meio é analisada através de duas técnicas de modelagem (elipticidade da onda Rayleigh e campo difuso baseado na curva H/V). Diferentes partes da curva H/V são invertidas visando avaliar qual a parte da curva H/V contém as informações mais importantes sobre a estrutura subterrânea. As lições aprendidas dessas análises são aplicadas a três dados experimentais de locais distintos. As ondas Love podem contaminar o resultado da curva H/V. Duas técnicas diferentes para remover o efeito das ondas amorosas são discutidas. Em seguida, são discutidos os resultados da inversão conjunta das curvas de dispersão e da curva H/V após remoção do efeito da onda Love, ou seja, a curva de elipticidade. Alguns aspectos novos da técnica H/V são discutidos no final.
The destruction caused by an earthquake at a site depends on many factors like source characteristics such as magnitude, epicentral distance from the site, depth of the source, and on the geological setting of the area. The destruction caused due to the geological setting of an area is termed as site effect. To model the site effect of an area is to determine the shaking level longevity and its displacement amplification. The elastic properties (shear and compressional wave velocities, density, thickness of soil layer, etc.) of the site are required to find out by employing various geophysical procedures. The knowledge of these elastic properties help in better designing the infrastructure, which reduces the chances of destruction caused by a local geological setting due to an earthquake occurrence. This procedure is widely termed as microzonation. The most important parameters for the microzonation are the thickness of soft sediments over the seismic bedrock and its shear wave velocity profile. These two parameters are properly characterized by employing various geophysical techniques like borehole measurement, seismic reflection and seismic refraction. The conventional geophysical methods bring some hindrance to the picture such as, the drilling of a borehole and artificial seismic sources deployment for the reflection and refraction survey, which are both expensive and time consuming, difficult or even in some case impossible to implement in urbanized environment, the investigation is depth limited to few tens of meter. The methods which replaced this conventional geophysical method from the last decades or so is the analysis of Earth vibration caused by the seismic noise which is produced by both natural and cultural sources. This ambient seismic noise can be recorded with less cost and effort with good lateral coverage. Various seismic noise techniques are employed for this job; however, the one which got the most attention in recent years is the horizontal over vertical spectral ratio (H/V) technique. The H/V spectral ratio curve is a fast easy and cheap tool for the near-subsurface characterization. There are various study performed on the topic which has tried to cover almost all the aspects and problems associated with the method. Here in this study, we try to detail the aspects of this technique, which are not been evaluated fully. The different modelling procedures presented to model and physically link the H/V curve with some physical phenomenon will be discussed and its numerical result with the experimental H/V curve will be compared for a borehole test site. The peak and the shape of the H/V curve will be modelled to find its peak frequency deviation from the shear wave resonance frequency by considering different wave-field around the peak. Similarly, the shape dominancy of the H/V curve linkage will be find out. The peak frequency of the H/V curve is used to estimate the thickness-frequency relation by regression analysis. Here we will show that the dispersion curve obtained from multi-channel analysis of surface waves (MASW) can be used to estimate the velocity at one meter and the shear wave velocity increase trend with depth. These values can be used to estimate the thickness frequency relation for an area and its result will be compared with the experimentally derived thickness-frequency relationship for the same area. The sensitivity of the H/V curve shape to the subsurface velocity structure will find out for two main modelling techniques (Rayleigh wave ellipticity and diffused field based H/V curve). The different parts of the H/V curve are inverted (back modelled) to find out the part of H/V curve which is carrying the most important information about the subsurface structure. The lesson learned from all this analysis will be applied to experimental data of three different sites. The Love waves might contaminate the result of the H/V curve. Two different techniques to remove their effects will be discussed. Then, the joint inversion result of the dispersion and this Love effect removed H/V for more precisely ellipticity curve is discussed. Some new aspects of the H/V curve technique are also discussed at the end.

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LOTTI, ALESSIA. « Investigation of a rockslide from its local seismic response - Analisi di una frana in roccia dalla sua risposta sismica locale ». Doctoral thesis, 2016. http://hdl.handle.net/2158/1043751.

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Il presente lavoro consiste in un esperimento pilota per valutare l'efficacia dell'applicazione di reti micro-sismiche a piccola scala in sistemi di early-warning per il monitoraggio di versanti rocciosi instabili e la prospezione in passivo di aree di frana. Il lavoro si articola in tre parti principali: a.) analisi del dato sismico per la caratterizzazione del corpo di frana e dell'area in esame; b.) analisi del dato sismico continuo per la valutazione di eventuali modifiche nei parametri di analisi capaci di rivelare variazioni interne al corpo di frana, e c.) analisi dei transienti, discriminazione e classificazione. Un ulteriore sezione è dedicata al confronto con i dati indipendenti disponibili derivati dalla rete di monitoraggio già presente al sito di acquisizione.

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(13979432), Michael L. Turnbull. « A seismic hazard assessment and microzonation of Bundaberg ». Thesis, 2000. https://figshare.com/articles/thesis/A_seismic_hazard_assessment_and_microzonation_of_Bundaberg/21358206.

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This thesis investigates the statistical seismic hazard that exists within the Bundaberg area and derives microzonation information for Bundaberg City, suitable for conjoint use with AS1170.4 - 1993, and its future replacements, in determining Earthquake Loading for design and construction engineering. A brief history of significant seismic events that have occurred in the Bundaberg area is provided, including presentation of an isoseismal map for the 1997 Bundaberg earthquake, and the regional geography is outlined. The effect of ground motion amplification and how it increases the seismic risk at sites within the Bundaberg City area is examined. The use of spectral ratios of ambient seismic noise, calculated from seismograms of microtremors, in characterising local site response to ground motion is discussed in detail. Specifically, horizontal to vertical spectral ratios (HVSR), otherwise referred to as Nakamura Spectra, are used to determine the local site responses of engineering interest (microzonation), for a 1 km grid of the Bundaberg City area. A methodology and associated computer software is developed to calculate Nakamura Spectra and to carry out the microzonation analysis. The results are presented in map form, suitable for viewing on a Geographical Information System (GIS). The Nakamura Spectra are also used to estimate the known depths of sedimentary deposits in the Bundaberg area. The estimated depths show a positive correlation with known depths thus verifying the applicability of the Nakamura Spectra for the purposes of microzonation.

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Hsieh, Hong-Hao, et 謝宏灝. « A Study of Horizontal-to-Vertical Spectral Ratio by using the Downhole Accelerometer Array in Taiwan ». Thesis, 2001. http://ndltd.ncl.edu.tw/handle/29773302975259590784.

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碩士
國立中央大學
地球物理研究所
89
This study use the earthquake data recorded by seven downhole accelerometer arrays in Taiwan. Five of the downhole accelerometer arrays are located in Taipei basin and the other two are respectively in Ilan and Hualien areas. First, we cut 5 seconds noise (pre-event) and 10 seconds S-wave from these earthquake data. The seconds, using Fourier amplitude spectrum to transform the noise and S-wave time domain data into frequency domain data. Furthermore, we used response spectrum to calculate the whole data consist of noise and S-wave etc.. Finally, we calculate each site horizontal-to-vertical spectral ratios of surface station (0m H/V ratio) and spectral ratios of surface to different depths station pairs. Compare to the geological profile, we can find out the dominant frequency in the H/V ratio came from which soil layer. The ground motion data recorded by Lotung and Hualien downhole arrays are separated into three groups on the basis of CWB’s intensity scale. The variation of H/V ratio with respect to PGA levels are analyzed in this study. From the spectral ratio obtained through these downhole accelerometer array data, we can summarize the results as below: 1. The fundamental resonance frequencies of H/V ratios at surface stations in the Taipei basin show the response of Sungshan layer. 2. The fundamental resonance frequencies of S-wave H/V ratios at surface stations also can present deeper layer’s response. 3. In the case of high impedance contrast top soil layer, the amplitude and frequency from surface H/V ratio are consistent with that of layer response. 4. The H/V ratio of surface station can use to identify the non-linear soil response.

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Chapitres de livres sur le sujet "HVSR (Horizontal to Vertical Spectral Ratio)"

Luzón, F., Z. Al Yuncha, F. J. Sánchez-Sesma et C. Ortiz-Alemán. « A Numerical Experiment on the Horizontal to Vertical Spectral Ratio in Flat Sedimentary Basins ». Dans Earthquake Microzoning, 2451–61. Basel : Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8177-7_10.

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Harinarayan, N. H., et Abhishek Kumar. « Site Classification of Strong Motion Stations of Uttarakhand, India, Based on Standard Spectral Ratio, and Horizontal-to-Vertical Spectral Ratio Methods ». Dans Lecture Notes in Civil Engineering, 495–506. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6233-4_35.

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Harinarayan, N. H., et Abhishek Kumar. « Establishing Seismic Site Class for five Recording Stations in Delhi Based on Theoretical Horizontal to Vertical Spectral Ratio ». Dans Lecture Notes in Civil Engineering, 223–32. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9976-7_21.

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Moro, Giancarlo Dal. « Horizontal-to-Vertical Spectral Ratio ». Dans Surface Wave Analysis for Near Surface Applications, 65–85. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-800770-9.00004-2.

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« Some Focus on Horizontal-to-Vertical Spectral Ratio Computation ». Dans Surface Wave Analysis for Near Surface Applications, 211–17. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-800770-9.15013-7.

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« Analyzing Phase and Group Velocities Jointly with Horizontal-to-Vertical Spectral Ratio ». Dans Surface Wave Analysis for Near Surface Applications, 205–9. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-800770-9.15012-5.

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Tokeshi, K., P. Harutoonian, C. Leo, D. Liyanapathirana et R. Golaszewski. « Horizontal-to-vertical spectral ratio inversion using Monte Carlo approach and enhanced by Rayleigh wave dispersion curve ». Dans From Materials to Structures : Advancement through Innovation, 641–46. CRC Press, 2012. http://dx.doi.org/10.1201/b15320-113.

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Marks II, Robert J. « Time-Frequency Representations ». Dans Handbook of Fourier Analysis & ; Its Applications. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780195335927.003.0014.

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Résumé :

The Fourier transform is not particularly conducive in the illustration of the evolution of frequency with respect to time. A representation of the temporal evolution of the spectral content of a signal is referred to as a time-frequency representation (TFR). The TFR, in essence, attempts to measure the instantaneous spectrum of a dynamic signal at each point in time. Musical scores, in their most fundamental interpretation, are TFR’s. The fundamental frequency of the note is represented by the vertical location of the note on the staff. Time progresses as we read notes from left to right. The musical score shown in Figure 9.1 is an example. Temporal assignment is given by the note types. The 120 next to the quarter note indicates the piece should be played at 120 beats per minute. Thus, the duration of a quarter note is one half second. The frequency of the A above middle C is, by international standards, 440 Hertz. Adjacent notes notes have a ratio of 21/12. The note, A#, for example, has a frequency of 440 × 21/12 = 466.1637615 Hertz. Middle C, nine half tones (a.k.a. semitones or chromatic steps) below A, has a frequency of 440 × 2−9/12 = 261.6255653 Hertz. The interval of an octave doubles the frequency. The frequency of an octave above A is twelve half tones, or, 440 × 212/12 = 880 Hertz. The frequency spacings in the time-frequency representation of musical scores such as Figure 9.1 are thus logarithmic. This is made more clear in the alternate representation of the musical score in Figure 9.2 where time is on the horizontal axis and frequency on the vertical. At every point in time where there is no rest, a frequency is assigned. To make chords, numerous frequencies can be assigned to a point in time. Further discussion of the technical theory of western harmony is in Section 13.1.

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Actes de conférences sur le sujet "HVSR (Horizontal to Vertical Spectral Ratio)"

Pranata, Bayu, Tedi Yudistira, Erdinc Saygin, Phil R. Cummins, Sri Widiyantoro, Budi Brahmantyo et Zulfakriza. « Seismic microzonation of Bandung basin from microtremor horizontal-to-vertical spectral ratios (HVSR) ». Dans INTERNATIONAL SYMPOSIUM ON EARTH HAZARD AND DISASTER MITIGATION (ISEDM) 2017 : The 7th Annual Symposium on Earthquake and Related Geohazard Research for Disaster Risk Reduction. Author(s), 2018. http://dx.doi.org/10.1063/1.5047289.

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Esch, John M. « DETERMINING BEDROCK DEPTHS USING THE HORIZONTAL-TO-VERTICAL SPECTRAL RATIO (HVSR) PASSIVE SEISMIC METHOD - EXAMPLES FROM MICHIGAN ». Dans 50th Annual GSA North-Central Section Meeting. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016nc-275649.

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Mahvelati, Siavash, et Joseph Thomas Coe. « Horizontal-to-Vertical Spectral Ratio (HVSR) Analysis of the Martian Passive Seismic Data from the InSight Mission ». Dans 17th Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments. Reston, VA : American Society of Civil Engineers, 2021. http://dx.doi.org/10.1061/9780784483374.011.

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Esch, John, Alan Kehew, William Sauck, Tyler Norris, John A. Yellich et Clayton Joupperi. « BEDROCK TOPOGRAPHY MAPPING USING THE HORIZONTAL-TO-VERTICAL SPECTRAL RATIO (HVSR) PASSIVE SEISMIC METHOD – CASS COUNTY MICHIGAN ». Dans Joint 56th Annual North-Central/ 71st Annual Southeastern Section Meeting - 2022. Geological Society of America, 2022. http://dx.doi.org/10.1130/abs/2022nc-375800.

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Aque, L. E. G., A. S. Daag, R. N. Grutas, M. I. T. Abigania, M. P. Dizon, D. J. L. Buhay, E. D. Mitiam et al. « EVALUATION OF PASSIVE SEISMIC HORIZONTAL-TO-VERTICAL SPECTRAL RATIO (HVSR) FOR RAPID SITE-SPECIFIC LIQUEFACTION HAZARD ASSESSMENT ». Dans 18th Annual Meeting of the Asia Oceania Geosciences Society (AOGS 2021). WORLD SCIENTIFIC, 2022. http://dx.doi.org/10.1142/9789811260100_0045.

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Dirgantara, Feisal. « Microzonation amplification mapping at Sleman regency, province of Daerah Istimewa Yogyakarta, Indonesia using horizontal to vertical spectral ratio (HVSR) method ». Dans Beijing 2009 International Geophysical Conference and Exposition. Society of Exploration Geophysicists, 2009. http://dx.doi.org/10.1190/1.3603571.

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Chandler, Val W., et Richard S. Lively. « HORIZONTAL-TO-VERTICAL SPECTRAL RATIO (HVSR) PASSIVE SEISMIC METHODS FOR DETERMINING QUATERNARY SEDIMENT THICKNESS AND BEDROCK ELEVATION IN MINNESOTA : AN UPDATE ». Dans 50th Annual GSA North-Central Section Meeting. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016nc-275222.

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Johnson, Carole, et John Lane. « STATISTICAL COMPARISON OF METHODS FOR ESTIMATING SEDIMENT THICKNESS FROM HORIZONTAL-TO-VERTICAL SPECTRAL RATIO (HVSR) SEISMIC METHODS : AN EXAMPLE FROM TYLERVILLE, CONNECTICUT, USA ». Dans Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2016. http://dx.doi.org/10.4133/sageep.29-057.

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D'Alessandro, A., R. Martorana, P. Capizzi et D. Luzio. « On the Stationarity of the Horizontal to Vertical Noise Spectral Ratio ». Dans Near Surface Geoscience 2015 - 21st European Meeting of Environmental and Engineering Geophysics. Netherlands : EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201413749.

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Vantassel, Joseph P., Brady R. Cox et Dana M. Brannon. « HVSRweb : An Open-Source, Web-Based Application for Horizontal-to-Vertical Spectral Ratio Processing ». Dans International Foundations Congress and Equipment Expo 2021. Reston, VA : American Society of Civil Engineers, 2021. http://dx.doi.org/10.1061/9780784483428.005.

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Rapports d'organisations sur le sujet "HVSR (Horizontal to Vertical Spectral Ratio)"

Dietiker, B. Geoscientific studies of Champlain Sea sediments, Bilberry Creek, Ottawa, Ontario : firm ground depth estimation through microtremor horizontal-to-vertical spectral ratios (HVSR). Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/326172.

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Dietiker, B., J. A. Hunter et A. J. M. Pugin. Improved analysis of horizontal-to-vertical spectral ratio measurements for groundwater investigations. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/321101.

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Hunter, J. A., H L Crow, B. Dietiker, A. J. M. Pugin, K. Brewer et T. Cartwright. A compilation of microtremor horizontal-to-vertical spectral ratios (HVSRs) and borehole shear-wave velocities of unconsolidated sediments in south-central Ontario. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/326133.

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